From diagnostic to intervention

The 90-Day Transformation Accelerator

Sprints below are generated from the scorecard, not chosen in advance. Every pillar scoring under 60 contributes its own 30/60/90-day work, ordered by severity and pillar weight.

Illustrative reference profile — not a client result

Current TII

50.0

Pillars in scope

Sprints generated

Projected TII at target

65.0

+15.0 index points

Human–AI maturity · 40.0 → 70
Execution velocity · 40.0 → 70

Back to the scorecard Review the operating architecture Run the diagnostic

Sprint board

Three windows, named owners, measurable exits

Days 1–30

Baseline & friction mapping

Establish evidence, name the constraint and secure executive sponsorship.

Human–AI Collaboration Maturity· high · priority 50

Establish where AI is deployed without redesigning the work.

Inventory AI-supported workflows and record the named human accountable for each output.
Assess data access and quality for the top five decision points.
Document which decisions may and may not be delegated to AI systems.

Owner:: CIO/CDO with process owners
Exit measure:: Published decision-rights boundary for AI-assisted work.
Pillar target:: 40.0 → 70

Execution Velocity· high · priority 50

Expose where decided work fails to land.

Trace the last ten governance decisions to team-level priority changes and record lag.
Confirm a single accountable owner, with resource authority, for every active initiative.
List commitments added versus commitments closed over the last two quarters.

Owner:: COO with the transformation office
Exit measure:: Decision-to-priority lag quantified and initiative ownership confirmed.
Pillar target:: 40.0 → 70

Days 31–60

Activation

Deploy the operating-model change where the diagnostic located the drag.

Human–AI Collaboration Maturity· high · priority 50

Redesign two end-to-end workflows around AI-augmented roles.

Rebuild the two highest-volume workflows with AI in the loop and revised role definitions.
Stand up an escalation route for disputed AI outputs with a service commitment.
Shift adoption reporting from licence counts to workflow outcome measures.

Owner:: Transformation lead with function owners
Exit measure:: Two workflows live with outcome-based adoption metrics reported monthly.
Pillar target:: 40.0 → 70

Execution Velocity· high · priority 50

Reset the delivery cadence and clear the commitment backlog.

Stop or consolidate initiatives until active load matches delivery capacity.
Introduce leading-indicator review alongside milestone reporting.
Give middle management explicit authority to clear defined blocker classes.

Owner:: COO with function heads
Exit measure:: Active initiative count within capacity, leading indicators reviewed fortnightly.
Pillar target:: 40.0 → 70

Days 61–90

Institutionalise & re-measure

Transfer ownership into the operating rhythm and re-run the diagnostic.

Human–AI Collaboration Maturity· high · priority 50

Institutionalise AI governance inside normal management.

Fold AI risk and adoption measures into the existing operational governance forum.
Certify managers on AI decision boundaries in their function.
Re-run the human–AI maturity items and compare against baseline.

Owner:: CIO with CHRO
Exit measure:: Human–AI maturity pillar re-measured at or above target.
Pillar target:: 40.0 → 70

Execution Velocity· high · priority 50

Lock the execution rhythm into the operating model.

Move the cadence into standard business reviews with named owners.
Audit whether development investment shows up in changed operating behaviour.
Re-run the execution velocity items and compare against baseline.

Owner:: CEO with COO
Exit measure:: Execution velocity pillar re-measured at or above target.
Pillar target:: 40.0 → 70

Programme intake

Run the accelerator with governance behind it.

We co-own the sprint board with your executive team, report leading indicators, and re-measure the diagnostic at day 90.

Book Board / Advisory Briefing