Signing in

You will be sent to MillerKnoll sign-in.

Workshops

CBS

Full-day AI workshop — morning on policy, tool choice, and your pre-work themes; afternoon breakouts each leave with one next step.

Agenda

Run of show

Everyone follows the same morning clock; departmental breakouts run on the schedule below.

  1. 10:00–10:05 Introduction — how today maps to your pre-work survey (15 responses)
  2. 10:05–10:25 AI Policy, Toolkit, and Prompt Library — trust, privacy, customer data, and imagery rights
  3. 10:25–10:30 Tool choice (Copilot vs other approved tools) and honest boundaries on integrations
  4. 10:30–10:45 Open questions — drawn from pre-work (see Q&A tab)
  5. 10:45–11:00 Break
  6. 11:00–11:30 Sales — quotes, CRM handoffs, pipeline visibility 30 min
  7. 11:45–12:15 Product Marketing — on-brand copy, imagery rights, strategic marketing 30 min
  8. 12:30–13:00 Product Development — workflows, opportunity funnel, IP references, sustainability language 30 min
  9. 13:00–13:45 Company lunch
  10. 13:45–14:15 Finance — weekly reports, order release, credit policy drafts 30 min
  11. 14:30–15:00 Operations — webshop enquiries, stock, pro formas (Internal Sales themes) 30 min
  12. 15:15–16:00 Design — team agents, file finding, design production, client experiences 45 min

Learning outcomes

Aims

What you should leave knowing

  • Know where policy lives — safe sharing, customer data, imagery rights, and where to get help on MyMillerKnoll
  • Choose the right tool — when Copilot in M365 fits vs other approved tools you already use
  • Know what is realistic this week — drafts and grounded agents vs live integrations and dashboards

Outputs

What you should leave with

  • Leave your breakout with one next step — workflow spec, checklist, reply pattern, or review rubric
  • A tangible pilot tied to pre-work themes, not a promise that every integration ships tomorrow
Morning plenary

Whole company — 10:00–11:00

Everyone stays together for the first hour, anchored in your pre-work survey and the extra use cases CBS teams shared by email.

Open questions run 10:30–10:45 — see the Q&A tab for starter questions. Policy, toolkit, and tool-choice concepts are in the Concepts tab.

Concepts

Pre-work survey

What we heard from CBS teams

Fifteen survey responses, plus extra use cases CBS teams shared by email, across Product Management, Product Marketing, Product Design, Sales, Finance, Internal Sales, and Creative Strategy.

See the full pre-work survey.

  • Connect the systemsCross-system data, dashboards, competitor landscapes, and automated reporting.
  • Trust and governanceConfidential data, customer records, verification burden, imagery rights, and likeness.
  • Repetitive manual workWebshop enquiries, stock updates, double entry, quotes, and weekly reports.
  • Find and verify knowledgeOlder Teams files, key email information, legacy IP correspondence, and AI-produced content review.
  • Design and strategy productionCAD/BOM/renders, opportunity-funnel proposals, showroom simulation, and futures scenarios.

Department breakouts open on your team’s themes and aim for one tangible next step — not a promise that every integration ships tomorrow.

10:05–10:25

Policy, toolkit, and prompt library

Policy, toolkit, and prompt library — links are in the References strip at the top of this page.

Policy focus from your survey and emails: what never goes into a prompt (customer PII, confidential project data, customer floorplates, IP correspondence), when marketing and design need legal eyes on imagery, third-party photos, material swatches, likeness, or non-MK products, and when verification cost means manual is still the right call.

MK AI POV: start from data classification, not tool enthusiasm. If the source includes customer-identifiable information, confidential project detail, legal/IP correspondence, or third-party creative material, pause and route through the approved policy path before using it to ground a prompt or agent.

10:25–10:30

Tool choice — Copilot vs other approved tools

Several teams already use Claude, ChatGPT, or Gemini alongside M365. That is expected. Use this frame — not “one tool only”:

Reach for Copilot when…Other approved tools may fit when…
Work lives in Excel, Word, PowerPoint, Outlook, or TeamsYou need longer external research sessions outside M365
Data should stay on the MillerKnoll tenant pathYou are prototyping a personal workflow (still follow policy)
You are building Agent Builder agents for colleaguesYou want a one-off creative or strategic exploration you will verify yourself

Wondering why Copilot over Claude for a specific task? The answer depends on where the work and the data live — bring your own examples to the open questions.

MK AI POV: Copilot is the default answer when the work is already inside Microsoft 365, needs the MillerKnoll tenant path, or should become a shared Agent Builder pattern. Other approved tools can still be useful for exploration, but the output needs the same policy, verification, and source discipline.

Breakouts

Department sessions

Use the schedule index to open your team session. Each session still expands below for the full hands-on packet.

11:00–11:30SalesQuotes, CRM handoffs, and pipeline visibility — plus client prep where it helps.

Today’s focus (30 min): map what Copilot can draft this week vs what needs a Salesforce integration — then try a weekly-update agent (~15 min hands-on).

From pre-work

  • Faster quotes — less blank-page time on recurring quote structures
  • Salesforce opportunities from Outlook — creating opportunities without retyping context (plugin / integration interest)
  • Early visibility on upcoming projects — knowing what is opening before the room does

Value for Sales

  • Quote and proposal first drafts — structure and spec language from approved templates (you verify pricing and terms)
  • Meeting prep that cites sources — research a client before the room and flag thin evidence
  • Client decks on the MK template — build slides inside PowerPoint when deck prep is the bottleneck

Starting points for Sales

  • Copilot in Outlook — thread summaries and reply drafts you paste into Salesforce yourself
  • Copilot in Word — quote narratives and proposal sections from prior examples
  • Copilot in PowerPoint — client and QBR decks from the MillerKnoll template

Honest boundaries

  • Outlook → Salesforce automation is an integration decision — today we clarify handoff steps AI can shorten vs what IT must wire
  • Future project visibility needs a defined data source — AI summarises what you export; it cannot invent pipeline

MK AI POV: use Copilot first for the layer around Sales work — summarising emails, drafting quote/proposal language, preparing meeting notes, and creating a cleaner Salesforce handoff. Creating or changing CRM records should remain a controlled system workflow, not a chat shortcut.

Leave with

One list: draft in Copilot this week vs needs integration or manual CRM step.

Questions for Sales

  • Which step on quotes or opportunities costs the most retyping today?
  • What do you already verify by hand that AI must never skip?

MK AI POV: verification for Sales means pricing, terms, availability, client commitments, and pipeline status. AI can draft the message; the account owner still owns the commercial truth.

Try it now — Weekly Update Agent (~15 min)

  1. Go to microsoft365.com/chat.
  2. Copy and send the simple prompt below. Wait for Copilot to reply Ready.
  3. Copy and send the sample notes (Step 2) as your next message.
When I paste my messy weekly notes in the next message, turn them into a short status update for my manager. Format: - Highlights (max 3 bullets) - Risks / blockers (max 3 bullets) - Next steps (max 3 bullets) Rules: - Outcomes over activity - If a number or date is not in my notes, write [Needs input] — do not invent it - Keep it under 200 words Do not draft the update yet. I will paste my notes in my next message. Reply "Ready — waiting for your notes." when you understand these rules.

Make it reusable — minimal agent

Open Agent Builder on your computer (not on your phone — Agent Builder needs a desktop browser):

  1. Go to microsoft365.com/chat .
  2. In the left menu, click Agents, then New agent, then Skip to configure.
  3. You will work on the Configure tab (fill in the fields), then Try it (test your agent), then click Create when you are ready to save.
  1. Name: Weekly Update Agent
  2. Description: Turns messy weekly notes into a concise manager update.
  3. Instructions: copy the minimal instructions below.
  4. Conversation starter: paste the sample notes and ask for this week’s update.
  5. Try it with the same sample. Click Create when satisfied.

On the Configure tab, paste each block from your interview into the matching box:

In Agent Builder (Configure tab)Paste from your Copilot chat output
DescriptionAgent Description section
InstructionsSystem Prompt section (plus the Microsoft 365 sources block in Step 3)
Conversation startersWeekly Input Template
KnowledgeSharePoint folders or files you named in the interview

Keep going: full Weekly Update path (personalization interview and testing plan).

11:45–12:15Product MarketingOn-brand copy, imagery rights, and strategic marketing — grounded, not generic.

Today’s focus (30 min): try an on-brand launch-copy agent (~15 min hands-on), then agree three never-without-legal rules for imagery.

From pre-work

  • On-brand copy from structured inputs — product facts → channel-ready drafts with refusal when claims are unsupported
  • Imagery prompts — brief generative tools without drifting off brand
  • Legal grey areas — usage rights, likeness in AI-enhanced imagery, customer data in website admin workflows

Value for Product Marketing

  • Audience tailoring — adapt the same core story for dealer, architect, or facilities audiences
  • Competitive and positioning frames — battlecards from approved source material only
  • Rights-aware imagery briefs — review gates before assets go to design or legal

Starting points for Product Marketing

  • Copilot in Word — briefs, launch narratives, and executive summaries from existing notes
  • Copilot in PowerPoint — first-pass launch decks from an approved outline
  • Prompt Library — copy-ready prompts for value props and objection handling

Honest boundaries

  • Customer account data stays out of prompts — use anonymised summaries and internal-only drafts
  • Likeness and legacy imagery need legal and brand guardrails — approval path stays human

MK AI POV: marketing agents should be grounded in approved brand voice, product claims, and channel guidance. They should flag unsupported claims instead of polishing them, and any generative imagery or likeness use needs brand/legal review before it becomes campaign material.

Leave with

One agent concept (inputs, outputs, verify step) and three never-without-legal rules for imagery.

Questions for Product Marketing

  • Which launch step is still mostly manual rewrite — and what approved doc should every draft mirror?
  • What fields from Airtable (or similar) are safe to ground an agent on?

MK AI POV: a safe Airtable-to-copy pattern starts with non-sensitive product facts, approved positioning, and a required review step. Do not ground a shared marketing agent on customer-identifiable records or unapproved claims.

Try it now — On-brand launch copy agent (~15 min)

  1. Go to microsoft365.com/chat.
  2. Copy and send the simple prompt below. Wait for Copilot to reply Ready.
  3. Copy and send the sample brief (Step 2) as your next message.
When I paste a structured product brief in the next message, turn it into channel-ready launch copy: 1. Headline (max 12 words) 2. Three benefit bullets (dealer-facing) 3. One sustainability line — only if the brief includes approved facts; otherwise write [Needs input] Rules: - Do not invent pricing, percentages, certifications, or competitor claims - Flag unsupported statements with [Needs verification] - Match a professional B2B tone — no superlatives unless the brief includes them Do not draft anything yet. I will paste my brief in my next message. Reply "Ready — waiting for your brief." when you understand these rules.

Make it reusable — minimal agent

Open Agent Builder on your computer (not on your phone — Agent Builder needs a desktop browser):

  1. Go to microsoft365.com/chat .
  2. In the left menu, click Agents, then New agent, then Skip to configure.
  3. You will work on the Configure tab (fill in the fields), then Try it (test your agent), then click Create when you are ready to save.
  1. Name: CBS Launch Copy Agent
  2. Description: Turns structured product briefs into on-brand dealer-facing copy.
  3. Instructions: copy the minimal instructions below.
  4. Conversation starter: paste the sample brief and ask for launch copy.
  5. Try it with the same sample. Click Create when satisfied.

On the Configure tab, paste each section from Copilot's output into the matching box:

In Agent Builder (Configure tab)Paste from your Copilot chat output
DescriptionAgent Overview section
InstructionsAgent Instructions section
Conversation startersSuggested starters from Copilot's output
Knowledge Files listed under Knowledge Base Recommendations in Copilot's output

Keep going: Build Your Own Agent (full triage and testing plan).

12:30–13:00Product Development & SustainabilityWorkflows, opportunity-funnel proposals, IP references, and sustainability language.

Today’s focus (30 min): try a competitor-brief agent (~15 min hands-on), then choose one workflow to spec: competitor landscape, opportunity funnel, IP reference extraction, or sustainability data gaps.

From pre-work

  • Cross-system data → summary → visualisation — competitor landscape vs CBS products, sustainability metrics
  • Controlled workflows — defined inputs, consistent output format
  • Opportunity funnel — turn insight, competition, anecdotal, and data evidence into concept proposals leadership can review
  • Legacy IP reference file — extract key patent, design-registration, trademark, region, date, and status details from correspondence and PDFs into Excel
  • Pricing support — formula checks and margin scenarios (human verifies every number)
  • Tool question — when Copilot in M365 vs Claude / ChatGPT (see tool-choice frame in Concepts)

Value for Product Development

  • Concept and proposal first drafts — early brief into a stage-gate template
  • Opportunity-funnel summaries — consolidate inputs into a reviewable concept proposal with explicit source notes
  • IP correspondence extraction — draft Excel rows from emails and PDFs, with missing fields flagged for human review
  • Sustainability language with guardrails — claims only from grounded sources; flag gaps
  • Excel exploration — trends and variance when data is already in a table

Starting points for Product Development

  • Copilot in Excel — explore tables and summarise variance (you confirm every figure)
  • Copilot in Word — concept proposals, opportunity-funnel summaries, sustainability narratives, competitor memos
  • Copilot with PDFs / email text — test extraction of IP correspondence into a structured table before any automation
  • Claude / ChatGPT (policy permitting) — longer external scans you verify against approved sources

Honest boundaries

  • Live dashboards need data ownership — today outputs a workflow spec, not a working dashboard
  • Part-level sustainability queries fail when source data is unclear — agent flags gaps, does not fabricate
  • Third-party evidence and photos in opportunity-funnel work need policy review before they ground an agent or proposal
  • IP data extraction can reduce admin, but Legal ownership and human review remain the control point

MK AI POV: Product Development should use AI to make uncertainty visible. The most valuable output is often not a confident answer; it is a structured proposal, source map, missing-data list, or decision brief that shows what still needs human or legal review.

Leave with

One workflow spec: inputs, output template, verification step, data owner, and data that must exist before automation.

Questions for Product Development

  • Which single workflow wins if we only ship one pilot in the next 30 days?
  • Where are sustainability or compliance claims hardest to draft without overstatement?
  • Could IP correspondence extraction start as a reviewed Excel-helper workflow before becoming an automation?

MK AI POV: start IP and sustainability work as assisted extraction, not autonomous decision-making. Copilot can help draft rows, summaries, and issue lists; ownership, interpretation, and filing strategy stay with the responsible business and legal owners.

Try it now — Competitor landscape agent (~15 min)

  1. Go to microsoft365.com/chat.
  2. Copy and send the simple prompt below. Wait for Copilot to reply Ready.
  3. Copy and send the sample sources (Step 2) as your next message.
When I paste competitor and product notes in the next message, produce a one-page competitor landscape brief with fixed sections: 1. Competitor overview (facts from sources only) 2. Feature comparison (our product vs competitor — mark [Needs input] where specs are missing) 3. Positioning implications for CBS (hypotheses labelled as such) 4. Gaps and verification needed Rules: - Cite the source for every competitor fact - Do not invent pricing, test results, or sustainability metrics - Label assumptions clearly Do not draft anything yet. I will paste my sources in my next message. Reply "Ready — waiting for your sources." when you understand these rules.

Make it reusable — minimal agent

Open Agent Builder on your computer (not on your phone — Agent Builder needs a desktop browser):

  1. Go to microsoft365.com/chat .
  2. In the left menu, click Agents, then New agent, then Skip to configure.
  3. You will work on the Configure tab (fill in the fields), then Try it (test your agent), then click Create when you are ready to save.
  1. Name: CBS Competitor Brief Agent
  2. Description: Produces structured competitor landscape briefs from pasted sources.
  3. Instructions: copy the minimal instructions below.
  4. Conversation starter: paste the sample sources and ask for a landscape brief.
  5. Try it with the same sample. Click Create when satisfied.

On the Configure tab, paste each section from Copilot's output into the matching box:

In Agent Builder (Configure tab)Paste from your Copilot chat output
DescriptionAgent Overview section
InstructionsAgent Instructions section
Conversation startersSuggested starters from Copilot's output
Knowledge Files listed under Knowledge Base Recommendations in Copilot's output

Keep going: Lifestyle Product Development workshop (concept proposals and strategy review).

13:45–14:15FinanceWeekly sales reports, order release rhythm, and credit policy drafts — you own every number.

Today’s focus (30 min): try a weekly commentary agent (~15 min hands-on), then name the verification step that never gets skipped.

From pre-work

  • Weekly sales reports — less time rebuilding the same pack each cycle
  • Order review and release process — clearer SOP language or checklist drafts
  • Credit policy writing — structure from working papers, not legal finalisation in the room

Value for Finance

  • Variance explanation — what moved, what needs investigation, what is noise
  • Policy and process documentation — credit policy outlines and release checklists from working notes

Starting points for Finance

  • Copilot in Excel — analysis on data already in a table; treat output as a hypothesis to verify
  • Copilot in Word — commentary drafts and summary memos from your workbook or notes
  • Copilot in Outlook — thread summaries after cross-functional reviews

Ground rules for Finance

  • Every number, rate, and allocation must be traced to source — Copilot does not replace your sign-off
  • Do not paste confidential financials into tools outside MillerKnoll policy

MK AI POV: Finance is a high-verification domain. Treat AI output as commentary scaffolding, not evidence. If a number cannot be traced back to the workbook, ERP extract, or approved source, it does not go into the final message.

Leave with

One named report or process for a Copilot-assisted first draft this month, plus the verification step that never gets skipped.

Questions for Finance

  • Which recurring report would benefit most from a faster first draft?
  • What source documents would ground a credit policy outline safely?

MK AI POV: policy drafts are a good use case when the source set is controlled. AI can propose structure, plain-language wording, and gaps to review; final policy language needs the normal Finance, Legal, and leadership approval route.

Try it now — Weekly commentary agent (~15 min)

  1. Go to microsoft365.com/chat.
  2. Copy and send the simple prompt below. Wait for Copilot to reply Ready.
  3. Copy and send the sample notes (Step 2) as your next message.
When I paste my weekly sales notes in the next message, draft commentary for a finance review pack: 1. Headline (one sentence — what moved vs plan, if stated) 2. Key drivers (max 3 bullets) 3. Items needing investigation (max 3 bullets) 4. Suggested talking points for leadership (max 3 bullets) Rules: - Do not invent revenue figures, percentages, or FX impacts - Mark missing numbers as [Needs input] - Treat every figure as a hypothesis until the reviewer traces it to source Do not draft anything yet. I will paste my notes in my next message. Reply "Ready — waiting for your notes." when you understand these rules.

Make it reusable — minimal agent

Open Agent Builder on your computer (not on your phone — Agent Builder needs a desktop browser):

  1. Go to microsoft365.com/chat .
  2. In the left menu, click Agents, then New agent, then Skip to configure.
  3. You will work on the Configure tab (fill in the fields), then Try it (test your agent), then click Create when you are ready to save.
  1. Name: CBS Weekly Commentary Agent
  2. Description: Drafts finance review commentary from weekly sales notes.
  3. Instructions: copy the minimal instructions below.
  4. Conversation starter: paste the sample notes and ask for commentary.
  5. Try it with the same sample. Click Create when satisfied.

On the Configure tab, paste each section from Copilot's output into the matching box:

In Agent Builder (Configure tab)Paste from your Copilot chat output
DescriptionAgent Overview section
InstructionsAgent Instructions section
Conversation startersSuggested starters from Copilot's output
Knowledge Files listed under Knowledge Base Recommendations in Copilot's output

Keep going: Copilot in Excel — data analysis (same verification discipline).

14:30–15:00OperationsWebshop enquiries, stock truth, and less double entry — Internal Sales themes welcome here.

Today’s focus (30 min): try an enquiry-reply agent (~15 min hands-on), then define what stays manual until Shopify integration exists.

From pre-work

Three Internal Sales responses shared the same story — operational friction:

  • Webshop enquiries — faster, consistent replies to basic questions
  • Stock availability — spreadsheet not everyone checks; customers need accurate Shopify status
  • Double entry — the same information typed into multiple places
  • Pro formas — speeding up a repetitive raising process

Value for Operations

  • Stock-update SOPs — document the real process so fewer people rely on a hidden spreadsheet
  • Pro forma checklists — structure from approved examples

Starting points for Operations

  • Copilot in Outlook — enquiry reply drafts for human review before sending
  • Copilot in Word — SOPs for stock updates and pro forma steps
  • Copilot in Excel — explore stock tables you already maintain (you verify figures)

Honest boundaries

  • Shopify stock sync and auto reporting feeds are integration projects — today we define process and draft assets
  • Double entry often needs system design — AI documents the handoff while ops owners pick the tool path

MK AI POV: Operations can get value before integration by standardising language, checklists, and escalation rules. For anything customer-facing, AI drafts should preserve the human review step until stock, pricing, and account data are reliably connected.

Leave with

One enquiry reply pattern or stock-update SOP outline the team can use next week.

Questions for Operations

  • Which hurts most this week — enquiries, stock truth, pro formas, or double entry?
  • What would “good enough to send” look like for an AI-assisted enquiry reply?

MK AI POV: define “good enough” as accurate, policy-safe, and clear about what is confirmed vs what needs escalation. AI should never invent stock, lead time, price, or account-specific terms.

Try it now — Enquiry reply agent (~15 min)

  1. Go to microsoft365.com/chat.
  2. Copy and send the simple prompt below. Wait for Copilot to reply Ready.
  3. Copy and send the sample enquiry (Step 2) as your next message.
When I paste a webshop enquiry and internal notes in the next message, draft a customer reply with: 1. Acknowledgement 2. Stock / availability answer (only from notes — otherwise [Check stock system]) 3. Next step (what you need from the customer or internal team) 4. Sign-off line Rules: - Do not invent stock counts, prices, or delivery dates - Do not quote volume discounts — escalate to sales - Keep tone helpful and professional Do not draft anything yet. I will paste the enquiry in my next message. Reply "Ready — waiting for the enquiry." when you understand these rules.

Make it reusable — minimal agent

Open Agent Builder on your computer (not on your phone — Agent Builder needs a desktop browser):

  1. Go to microsoft365.com/chat .
  2. In the left menu, click Agents, then New agent, then Skip to configure.
  3. You will work on the Configure tab (fill in the fields), then Try it (test your agent), then click Create when you are ready to save.
  1. Name: CBS Enquiry Reply Agent
  2. Description: Drafts webshop enquiry replies from pasted enquiries and internal notes.
  3. Instructions: copy the minimal instructions below.
  4. Conversation starter: paste the sample enquiry and ask for a reply draft.
  5. Try it with the same sample. Click Create when satisfied.

On the Configure tab, paste each section from Copilot's output into the matching box:

In Agent Builder (Configure tab)Paste from your Copilot chat output
DescriptionAgent Overview section
InstructionsAgent Instructions section
Conversation startersSuggested starters from Copilot's output
Knowledge Files listed under Knowledge Base Recommendations in Copilot's output

Keep going: Weekly Update Agent (same status-rhythm pattern for ops updates).

15:15–16:00DesignTeam agents, design-production friction, file finding, and future client experiences.

Today’s focus (45 min): agree a team agent checklist, then choose which design pain is a near-term pilot: briefing assistant, file-finding / content review, CAD-BOM-render support, or showroom/futures simulation discovery.

From pre-work

  • Best practices for building agents as a team — shared support, not solo experiments
  • Visual exploration tools — Vizcom and similar alongside M365 work
  • Finding information — older Teams files, information buried in email, and assets outside the local file system
  • Reviewing AI-produced content — how to check sense, clarity, and source quality without losing all the time saved
  • Design production tasks — CAD models, BOMs in Excel, product renders, material setup, lighting, and 3D print preparation
  • Experience concepts — prompt-to-image showroom simulator and generative futures scenario modelling as longer-horizon ideas

Value for Design

  • Design rationale in client language — explain choices and constraints without dumbing down the work
  • Spec and finish clarity — flag missing inputs instead of inventing product details or pricing
  • Visual briefs for concept work — structured prompts for exploration tools; brand review before client use
  • AI-output review rubric — fast checks for sense, accuracy, source quality, and readability before a draft consumes more review time than it saved
  • Production-task triage — separate what Copilot can document or structure from what CAD, render, or 3D-print tools would need to automate directly

Starting points for Design

  • Copilot in PowerPoint — briefing decks from the MK template and approved example structure
  • Copilot in Word — design intent memos and narrative support
  • Copilot in Excel — BOM structure, missing fields, comparison against prior BOMs or quotes (human verifies supplier and material choices)
  • Copilot / Microsoft Search — test search and summary workflows for Teams files and older email context before designing a larger knowledge system
  • Vizcom / visual tools (policy permitting) — concept exploration; pair with morning imagery guidance

Team agent checklist (draft in session)

  • Named owner and grounded source documents for each team agent
  • Fixed output sections and refusal rules when inputs or specs are missing
  • Internal review gate before any client-facing draft leaves CBS
  • Review rubric for AI-produced content: source, sense, accuracy, audience, and action
  • Quarterly refresh when templates, products, or policy change

Ground rules for Design

  • Every client-facing draft is internal-first — design and account leadership review before it leaves CBS
  • Product specifications and case references must come from grounded materials
  • Customer floorplates, third-party imagery, material swatches, and non-MK products need policy/legal review before they are used in AI visual workflows
  • CAD, render, and 3D-print automation are tool-integration questions; today can define the workflow and checklist, not automate specialist software

MK AI POV: Design should use AI as a thinking and drafting partner, not as an unreviewed creative authority. The strongest near-term pattern is controlled: approved inputs, explicit assumptions, missing-spec flags, and design review before anything reaches a client.

Leave with

Agreed team agent checklist plus one next pilot: Client Briefing Assistant, AI-output review rubric, BOM/CAD workflow spec, or showroom/futures-scenario discovery brief.

Questions for Design

  • Which client deliverable has the worst blank-page problem — first briefing, revision deck, or post-visit follow-up?
  • What approved decks or templates should every AI draft mirror?
  • How should the team share agents — one library, one owner, or guild-style peer support?
  • Which design-production task is most repetitive: CAD modelling, BOM completion, rendering setup, or 3D print preparation?
  • What would a safe showroom or futures-scenario simulator need before customer data or third-party references could be used?

MK AI POV: big experience ideas are worth capturing as discovery briefs. Before a showroom simulator or futures model becomes a build, define the approved input set, customer-data rules, third-party rights, review owner, and what the experience is allowed to recommend.

Try it now — Client Briefing Assistant (~15 min)

  1. Go to microsoft365.com/chat.
  2. Copy and send the simple prompt below. Wait for Copilot to reply Ready.
  3. Copy and send the sample brief (Step 2) as your next message.
When I paste a project brief in the next message, produce a client briefing outline: 1. Meeting purpose and desired outcome 2. Slide / section list (CBS briefing format) 3. Talking points per stakeholder type in the room 4. Gaps and [Needs input] flags (specs, finishes, pricing, lead times) Rules: - Do not invent product specs, pricing, or case study claims - Flag missing inputs instead of filling them in - Internal-first tone — this is a draft for team review Do not draft anything yet. I will paste my brief in my next message. Reply "Ready — waiting for your brief." when you understand these rules.

Make it reusable — minimal agent

Open Agent Builder on your computer (not on your phone — Agent Builder needs a desktop browser):

  1. Go to microsoft365.com/chat .
  2. In the left menu, click Agents, then New agent, then Skip to configure.
  3. You will work on the Configure tab (fill in the fields), then Try it (test your agent), then click Create when you are ready to save.
  1. Name: CBS Client Briefing Assistant
  2. Description: Produces client briefing outlines from project briefs.
  3. Instructions: copy the minimal instructions below.
  4. Conversation starter: paste the sample brief and ask for a briefing outline.
  5. Try it with the same sample. Click Create when satisfied.

On the Configure tab, paste each section from Copilot's output into the matching box:

In Agent Builder (Configure tab)Paste from your Copilot chat output
DescriptionAgent Overview section
InstructionsAgent Instructions section
Conversation startersSuggested starters from Copilot's output
Knowledge Files listed under Knowledge Base Recommendations in Copilot's output

Keep going: Client research & meeting prep (full meeting-prep agent with grounding docs).

Q&A

Workshop questions

Harvey and John will take questions from the room during the session. Expand any item for context and the MillerKnoll AI point of view.

General workshop questions

A starter set drawn from pre-work, in case you want a prompt to get going.

Which tasks should stay on Copilot in M365 vs Claude / ChatGPT — and why?

MK AI POV: Copilot is the default when work lives in Microsoft 365, needs the MillerKnoll tenant path, or should become a shared Agent Builder pattern. Other approved tools can help exploration, but output needs the same policy, verification, and source discipline.

What customer, financial, or project data is never OK in a prompt?

MK AI POV: Start from data classification, not tool enthusiasm. Customer-identifiable information, confidential project detail, legal/IP correspondence, and third-party creative material should route through the approved policy path before grounding a prompt or agent.

Where does verification cost so much that manual is still faster?

MK AI POV: The best near-term wins are bounded: clear source material in, defined output out, explicit human review before action. If verification cost exceeds time saved, manual may still be the right call.

How do we handle imagery rights and likeness in AI-enhanced marketing assets?

Marketing and design need legal eyes on imagery, third-party photos, material swatches, likeness, and non-MK products. Approval path stays human — see Concepts for the policy frame.

What would need to be true in our data and codes before a pipeline or sustainability dashboard could be automated?

Live dashboards need data ownership and defined sources. Today outputs a workflow spec, not a working dashboard — AI summarises what you export; it cannot invent pipeline or sustainability metrics.

How should teams review AI-produced content quickly without spending more time checking it than they saved?

MK AI POV: Define a fast review rubric: source, sense, accuracy, audience, and action. Flag thin evidence instead of polishing unsupported claims.

Sales

Questions for the 11:00 breakout.

Which step on quotes or opportunities costs the most retyping today?

Map what Copilot can draft this week vs what needs a Salesforce integration. Outlook → Salesforce automation is an integration decision.

What do you already verify by hand that AI must never skip?

MK AI POV: Verification for Sales means pricing, terms, availability, client commitments, and pipeline status. AI can draft the message; the account owner still owns the commercial truth.

Product Marketing

Questions for the 11:45 breakout.

Which launch step is still mostly manual rewrite — and what approved doc should every draft mirror?

Ground agents on approved brand voice and product claims. Flag unsupported claims instead of polishing them.

What fields from Airtable (or similar) are safe to ground an agent on?

MK AI POV: A safe pattern starts with non-sensitive product facts, approved positioning, and a required review step. Do not ground a shared marketing agent on customer-identifiable records or unapproved claims.

Product Development

Questions for the 12:30 breakout.

Which single workflow wins if we only ship one pilot in the next 30 days?

Choose one: competitor landscape, opportunity funnel, IP reference extraction, or sustainability data gaps. Leave with a workflow spec including data owner.

Where are sustainability or compliance claims hardest to draft without overstatement?

MK AI POV: Sustainability language should only use grounded sources; agents should flag gaps, not fabricate. Part-level queries fail when source data is unclear.

Could IP correspondence extraction start as a reviewed Excel-helper workflow before becoming an automation?

MK AI POV: Start IP work as assisted extraction, not autonomous decision-making. Legal ownership and human review remain the control point.

Finance

Questions for the 13:45 breakout.

Which recurring report would benefit most from a faster first draft?

Weekly sales reports and commentary drafts are strong candidates when numbers are traced back to the workbook or ERP extract.

What source documents would ground a credit policy outline safely?

MK AI POV: Policy drafts work when the source set is controlled. AI can propose structure and gaps; final policy language needs Finance, Legal, and leadership approval.

Operations

Questions for the 14:30 breakout.

Which hurts most this week — enquiries, stock truth, pro formas, or double entry?

Shopify stock sync and auto reporting feeds are integration projects — today we define process and draft assets.

What would "good enough to send" look like for an AI-assisted enquiry reply?

MK AI POV: Accurate, policy-safe, and clear about what is confirmed vs what needs escalation. AI should never invent stock, lead time, price, or account-specific terms.

Design

Questions for the 15:15 breakout.

Which client deliverable has the worst blank-page problem?

First briefing, revision deck, or post-visit follow-up — pick one near-term pilot: Client Briefing Assistant, review rubric, BOM/CAD workflow spec, or showroom discovery brief.

What approved decks or templates should every AI draft mirror?

Every client-facing draft is internal-first. Product specifications and case references must come from grounded materials.

What would a safe showroom or futures-scenario simulator need before customer data or third-party references could be used?

MK AI POV: Define approved input set, customer-data rules, third-party rights, review owner, and what the experience is allowed to recommend before any build.

MillerKnoll AI · 2026