IMB Innovation Team  ·  April 23, 2026

AI for the Modern CFO

A 90-minute session with Don Barger

Director of Innovation & AI Strategy  |  IMB

From Microsoft Copilot to the AI Dividend — practical intelligence for the financial leaders building tomorrow's organizations.

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90-Minute Agenda

1
AI & Who I Am 1:30 – 1:40 PM  ·  10 min

An honest introduction — who Don is, how IMB is approaching AI, and why this moment matters for every financial leader in the room.

  • Don's background in innovation & AI strategy at IMB
  • Why CFOs are at the center of the AI transformation
  • The landscape today — what's real vs. hype

Don is Director of Innovation & AI at the IMB, where he has led AI strategy for three years. Not a theorist — someone shipping production tools to 3,500+ global workers. The sessions he runs trade on specificity, not novelty.

Why CFOs specifically: AI is a capital allocation problem before it's a technology problem. You're the leverage point. The question isn't whether to engage — most orgs are already spending. The question is whether that spend produces an AI Dividend or just runway burn.

What this session isn't: a vendor pitch, a futurist talk, or a "AI is scary but exciting" overview. What it is: specific, CFO-calibrated, opinionated, and built for people whose job is deploying capital under constraints.

2
Your Experience with AI 1:40 – 2:00 PM  ·  20 min

Open conversation plus a quick self-assessment. How are you and your teams actually using AI today — and where does your organization land on the AI readiness scale?

  • Quick show of hands — tools in active use
  • Biggest barriers: budget, policy, trust, or skills?
  • Take the AI Readiness Assessment — get your level and next steps

Ten minutes of open conversation, then five minutes to take the AI Readiness Assessment.

The assessment isn't a gimmick — 18 questions across six dimensions (strategy, data, people, process, risk, execution). At the end it produces your organization's level on a five-tier scale (Unaware → Exploring → Operational → Integrated → Transformative) and three concrete next-step recommendations per dimension.

The questions are strategic, not technical. You don't need to know what a transformer is. You need to know where your spend is landing and who's making the call. Do it honestly; the output is only as useful as the input.

3
Microsoft Copilot & Copilot 365 2:00 – 2:10 PM  ·  10 min

Most of you are already in the Microsoft ecosystem. Here's what Copilot actually does — and where the ROI shows up for finance teams.

  • Copilot in Excel, Teams, Outlook, and Word
  • Where Microsoft 365 Copilot pays for itself fastest
  • What to watch out for before rolling it out broadly

If you're already in Microsoft 365, this decision is in front of you. The five-minute CFO version:

  • Where it pays for itself fastest: Excel formula generation, Teams meeting summaries, Outlook reply drafting, Word document transformation — the surfaces finance teams touch every hour.
  • Where it doesn't: if your team isn't living in M365 daily, per-user cost is hard to justify. Copilot requires M365 fluency to pay back.
  • Biggest gotcha: permissions hygiene. Copilot will surface content you'd rather it didn't — salary spreadsheets, board minutes, legal drafts.
  • Ask your CIO before rollout: permissions audit, sensitivity labels, retention policy. If any of those aren't in shape, fix them first.
4
The AI Dividend 2:10 – 2:30 PM  ·  20 min

The single biggest concept for CFOs to internalize. The AI Dividend is the compounding return — in time, cost, and capacity — that organizations capture when AI is embedded into core workflows.

Time Saved  ×  People  ×  Frequency  =  AI Dividend
Small gains at scale compound into transformational capacity
  • What the AI Dividend is and how to measure it
  • Where it shows up first in finance organizations
  • The math: small efficiency gains at scale = massive ROI
  • Real examples — hours recovered, headcount redirected, decisions accelerated
  • How to build the case internally for AI investment

The formula is plain math, but it's almost always under-applied. Run it on your actual org:

A 50-person team, each person saving 30 minutes a day on routine work → 25 hours per day recovered → ~6,250 hours per year → roughly 3 FTE equivalent in recovered capacity.

A 3,500-employee organization, same 30 minutes a day per person → 1,750 hours per day → ~437,500 hours per year → roughly 210 FTE equivalent. That's not a rounding error. That's a strategic reallocation at the scale of a business unit.

Not fired; redirected. The failure mode most orgs hit: measuring the gain in aggregate but not redirecting the recovered capacity to anything strategic. The AI Dividend only compounds when time saved flows into higher-leverage work — close the books faster so analysts can actually analyze, not so they can extend the coffee break.

How to make the case internally: pick one workflow. Measure before and after. Publish the number. Then pick the next one.

5
Live Demo & IMB Resources 2:30 – 2:45 PM  ·  15 min

See what's actually running in production at IMB — real tools built and deployed for our global workforce — and walk away with frameworks, training, and resources IMB has built that translate directly to nonprofit and ministry contexts.

  • FaithBot — AI-guided biblical engagement at scale
  • Sentinel — AI intelligence pipeline for global awareness
  • Document Translation Engine — 20+ language support
  • AI Canvas — rapid prototyping platform for mission use cases

This session has two halves. First: see what IMB is actually running. Second: here's how you use what you've seen.

The tools, live in production:

  • FaithBot — AI-guided biblical engagement. Six languages, 50K+ users. Not a chatbot toy; a discipleship tool.
  • Sentinel — AI monitoring of global news and social signal for early-warning on threats to field workers. Production since 2024.
  • Document Translation Engine — 20+ languages. Replaces what used to take weeks of human translator time.
  • AI Canvas — the planning tool IMB uses internally to map AI initiatives across nine dimensions. Public at aicanvas.donbarger.com.

The takeaway isn't "buy these." None of them required an AI research team. The question is always what's the workflow? — not what's the model?

Two ways to engage after today:

  • AI Readiness Assessment — you took it earlier in the session; your results stay with you. Use them in your board prep.
  • Direct connection — Don works with mission-aligned organizations. Email dbarger@imb.org if you want to talk.

IMB-built resources assume mission-driven constraints: limited budgets, high-trust governance, compliance that matters. You won't waste time translating corporate playbooks into your context.

6
Monday Morning Action Plan 2:45 – 2:50 PM  ·  5 min

Four concrete moves you can make this week — from auditing one workflow, to piloting Copilot, to calculating your AI Dividend, to running an AI Canvas session. Pick one. Don't leave with inspiration. Leave with an assignment.

  • 01 — Audit One Workflow: pick a 2+ hr/week task and ask if AI could handle the first or last 20%.
  • 02 — Start a Copilot Pilot: activate M365 Copilot for 2–3 people for 30 days and track time saved.
  • 03 — Calculate Your AI Dividend: run the formula with your org's numbers and build the one-slide board narrative.
  • 04 — Run an AI Canvas Session: take one sitting idea and walk it through the Canvas with 4–6 people.

01 — Audit One Workflow · This Week

Don't start with a strategy. Start with one workflow. The best AI wins happen when a leader points at something specific and says "this takes too long."

  1. List your team's recurring work. Write down every task your finance team does weekly or monthly — reporting, reconciliations, data pulls, email drafts, summaries, approvals.
  2. Flag the time-heavy ones. Circle anything 2+ hours per week per person. These are your highest-dividend candidates.
  3. Ask the 20% question. Could AI handle the first 20% (setup, draft, data pull) or the last 20% (formatting, summary, email)? You don't need full automation — you need an edge.
  4. Pick one. Just one. Highest-time, lowest-risk task. Assign someone to test an AI approach this week without judgment.
  5. Measure it. Log time before and after. That delta is your first AI Dividend data point.

Pro tip: the best first workflow is usually a weekly report or a recurring email someone hates writing. AI is exceptionally good at those.

02 — Start a Copilot Pilot · 30-Day Experiment

Most organizations already have Copilot access or can get a trial. The mistake is rolling it out to everyone at once and calling that a pilot. Do this instead.

  1. Pick 2–3 willing participants. Curious, not resistant. Ideally one analyst, one manager, one admin — different roles give richer data.
  2. Define 3 use cases upfront. Good finance starters: summarizing Teams meetings, drafting budget narrative in Word, building formulas/pivots in Excel.
  3. Set a simple logging habit. 2 minutes at day's end: what did I use it for, how much time saved, what didn't work. A shared sheet or Teams channel works fine.
  4. Run 30 days without changing anything. Clean data requires a consistent experiment — resist scope creep mid-pilot.
  5. Debrief and decide. Calculate total time saved, extrapolate to the team. That's your business case — or evidence it needs a different approach.

Watch for: people underestimate time saved because they forget what the task used to feel like. Encourage logging before using Copilot, not after.

03 — Calculate Your AI Dividend · Board Ready

The AI Dividend isn't a theory — it's a number.

Time Saved  ×  People  ×  Frequency  =  AI Dividend
Example: 1 hr saved × 20 people × 5 days/week = 100 hrs/week recovered
  1. Use conservative numbers. Smallest believable improvement — even 15 min/person/day. Boards trust conservative math.
  2. Count the right people. Start with just your finance department. Keep the scope credible and verifiable.
  3. Pick the frequency. Daily, weekly, monthly — more frequent tasks compound faster.
  4. Convert to dollars. Recovered hours × fully-loaded hourly cost. At $50/hr, 100 hrs/week = $5,000/week = $260K/year from one workflow.
  5. Build the slide. One slide. One formula. Your numbers. Year 1 conservative + Year 3 compounded. The question isn't whether you can afford AI — it's whether you can afford to wait.

Full framework: The AI Dividend — Don's article walks through this in depth with real examples.

04 — Run an AI Canvas Session · Team Session

Most organizations don't lack AI ideas — they lack a structured way to evaluate them. The AI Canvas moves a team from "we should use AI for that" to a clear, honest decision.

  1. Choose one idea. Something your team has mentioned at least twice. A fuzzy hunch works fine.
  2. Gather the right people. 4–6: the process owner, a beneficiary, and at least one skeptic. Honest diversity makes the Canvas sharper.
  3. Block 90 minutes. The Canvas isn't a brainstorm — it's a structured walk-through. You need depth, not just width.
  4. Work through it together. What problem are we solving? Who benefits? What data do we have? What AI approach fits? What are the risks? What does success look like? What's the smallest test?
  5. Leave with a decision, not a deck. Moving forward? What's the first small test? Not moving? What would change our mind?

Try it now: aicanvas.donbarger.com — walk through it with your team before your next meeting.

Q&A
Open Q&A 2:50 – 3:00 PM  ·  Open

No clock. Ask anything — about AI strategy, specific tools, org dynamics, making the case to your board, or what Don would do in your situation.

Things worth asking — but don't feel limited to these:

  • How to make the internal case to your board or executive team
  • Specific vendors or tools — Don has opinions, and isn't shy
  • What he'd do first if he were sitting in your CFO seat
  • What not to do (often more valuable than what to do)
  • Concrete next steps for your specific org — staffing, pilots, budget

If 15 minutes isn't enough: Don stays until the questions stop. No hard stop on the conversation.

Links & Tools from Today

🤖

FaithBot.io

IMB's AI-powered biblical guidance and engagement platform — a working example of AI at scale in a mission organization.

🎨

AI Canvas

IMB's rapid AI prototyping platform — explore and experiment with AI tools built for organizational work.

🌐

IMB Innovation Tools

The full portfolio of AI tools and projects from the IMB Innovation Team — updated regularly.

💼

Microsoft Copilot

Official adoption hub, training resources, and ROI calculators for Microsoft Copilot and Copilot 365.

📖

The AI Dividend

Don's full article on the AI Dividend framework — the compounding ROI model for leaders making the case for AI investment.

📅

Connect with Don

Questions after today? Don is available for follow-up conversations, consulting, and speaking engagements.

Don Barger

Don Barger

Director of Innovation & AI Strategy  ·  IMB

Don leads AI strategy and innovation at the International Mission Board. He also leads the digital engagement, digital communities, and innovation incubator teams. He builds AI tools that equip thousands of global workers, speaks on the intersection of technology and organizational transformation, and advises leaders navigating the shift to AI-native operations.