Blue Sage Data Systems
A play we run for Lincoln mid-market companies

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.

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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

  1. 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.

  2. 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.

  3. 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.

  4. 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).

  5. 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.

  6. 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

30 days

Wedge workflow chosen with named owner. AI use policy and approved tool list in draft. Manager training plan scheduled.

60 days

Wedge running in pilot with a named small group inside real systems. Managers have completed their training. AI use policy circulated for Legal review.

90 days

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

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