The 30/60/90 AI adoption plan
A concrete sequencing model for the first 90 days of AI work — what to ship at 30, what to ship at 60, what to have in production by 90. Backed by McKinsey 2025 and Deloitte Q4 2024 data.
Text Rosey · Schedule a call →The pattern
The 30/60/90 plan exists because two conflicting data points pull on mid-market AI rollouts. McKinsey's 2025 data shows nearly two-thirds of organizations haven't begun scaling AI — and the high performers (~6%) are nearly 3x more likely to have fundamentally redesigned workflows. Deloitte 2024 found 69% of organizations expect implementing governance to take more than a year.
But rollouts that haven't shipped anything by month three are the ones that get cancelled. The 30/60/90 plan ships compounding wins early, while doing longer governance and workflow-redesign work in parallel.
The non-negotiable: at the end of 90 days, one workflow is in production with trained users, an AI use policy is signed, and an approved tool list is enforced.
The play
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Day 1–30: Diagnose, choose the wedge, draft the policy
Two weeks of role-mapping interviews and workflow diagnostics. Pick one wedge workflow with high payback, clear data, named owner. Start drafting the AI use policy with Legal in parallel.
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Day 30–60: Build the wedge in real systems, train the managers
Build inside real systems (AMS, core, EHR, ERP) — not a sandbox. Pilot with a named small group at week 6. In parallel, train the managers who will lead adoption.
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Day 60–90: Cutover, attest, measure
Staged rollout to broader staff, manager-led. The AI use policy ships, attestation is tracked. Outcome metrics replace activity metrics. Quarterly review cadence is set.
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Concurrent governance work
Governance work runs in parallel through all 90 days. Approved tool list, AI use policy, AIS Program documentation (insurers under NAIC IGD-H1), third-party AI vendor due diligence (banks), BAA review (healthcare).
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Concurrent role-evolution narrative
For each role touched by the wedge, write a one-page narrative — what changes, what stays, what the role looks like in twelve months. Ship it before staff training.
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Concurrent feedback loop
Build a structured 2-week pulse from day 30 onward. Adjust the rollout based on what comes back. Gartner 2026 CHRO research found this approach is 4x more likely to achieve change success.
What changes at 30 / 60 / 90 days
Wedge workflow chosen with named owner. AI use policy and approved tool list in draft. Manager training plan scheduled.
Wedge running in pilot with a named small group inside real systems. Managers have completed their training. AI use policy circulated for Legal review.
Wedge workflow in production with trained users. AI use policy signed; attestation tracked. Approved tool list enforced. Outcome metrics replacing activity metrics.
When this play applies
- Why exactly 90 days?
- Short enough to hold executive attention. Long enough to ship one real workflow with trained users. Maps onto quarterly board cycles.
- Can we do this faster than 90 days?
- Sometimes, with a narrow wedge and clean systems. The constraint is rarely build speed — it's diagnostic, manager prep, and cutover scheduling.
- What if the wedge fails?
- Better to find out at day 60 than day 270. Pivot at day 60 if the data says so; don't pretend through to day 90.
- How does this connect to enterprise scaling?
- The first 30/60/90 ships one workflow. Enterprise scaling is the next 12–24 months — typically a sequence of additional 30/60/90 wedges.
- What about industries with hard regulator deadlines?
- Different math. NAIC IGD-H1 in Nebraska, HIPAA, Section 1557. Governance work has to land 90–120 days ahead of the productivity wedge.
Sources
- AI high performers are nearly 3x as likely as others to say their organizations have fundamentally redesigned individual workflows — The state of AI in 2025: Agents, innovation, and transformation, McKinsey & Company (QuantumBlack, AI by McKinsey), 2025
- About 6% of organizations qualify as 'AI high performers' — those attributing 5%+ EBIT impact to AI — The state of AI in 2025: Agents, innovation, and transformation, McKinsey & Company (QuantumBlack, AI by McKinsey), 2025
- Roughly two-thirds of organizations have not yet begun scaling AI across the enterprise — The state of AI in 2025: Agents, innovation, and transformation, McKinsey & Company (QuantumBlack, AI by McKinsey), 2025
- More than two-thirds of respondents report 30% or fewer of their experiments will be fully scaled in the next 3-6 months — Now decides next: Generating a new future — State of Generative AI in the Enterprise Quarter four, Deloitte AI Institute, 2025
- 69% of respondents expect implementing a governance strategy will take more than one year — Now decides next: Generating a new future — State of Generative AI in the Enterprise Quarter four, Deloitte AI Institute, 2025
- Only 36% of companies provide a list of approved or preferred AI tools — 8 in 10 Employees Say They Need AI Training — After Their Companies Already Rolled Out the Tools, Express Employment Professionals (Harris Poll fielding), 2026
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