Framework · 7 min read
For Companies
The AI Implementation Plan
A 10-module strategic plan derived directly from your workforce reading. Maturity stage, capability gaps, 90-day roadmap, pilot selection, governance, KPI tree, investment tiering, risk register, and a structured review template. The preview below mirrors a live customer plan, populated with illustrative data based on a 180-employee Series B SaaS engagement.
About the plan
The 90-day operating plan for AI-driven workforce change
The Implementation Plan is the bridge between the workforce reading and the actions a leadership team takes in the next quarter. Every number in the plan is derived from the structural diagnostic, not from a generic playbook. Where compression risk is concentrated, where authority capacity is thin, which functions need scope redesign, and where the budget should land are all surfaced as specific, sequenced moves.
Ten modules cover readiness, capability mix, role-by-role redesign, hiring redirection, and ROI. The plan is delivered as both a live operating dashboard and a leadership-grade PDF, designed for HR, People, and executive teams running the change. It moves the workforce diagnostic from a snapshot to a decision-ready operating cadence over the first 90 days.
Preview
10 modules. Every number derived from the workforce reading.
Series B SaaS · 180 employees
Module 01 · Readiness
AI Readiness Assessment
The starting baseline. Pulled directly from the workforce reading. Diagnostic foundation everything below references.
Workforce Index
638
out of 1000
Strategic AI Density
38%
in strategic zone
Coverage
90%
162 of 180
Elevated Risk
19%
of workforce
Module 02 · Maturity
AI Maturity Stage
Where the organisation sits on the four-stage AI maturity curve. Derived from workforce signals.
01
Exploring
02
Activating
03
Scaling
04
Embedded
Current stage
Scaling
Pilots are working. Several teams are operating with AI-augmented workflows. The challenge is consistency and governance at scale.
Module 03 · Capability
Capability Gap Analysis
The five structural dimensions averaged across the workforce, ranked weakest first. The lowest two are the priority lift for the next two quarters.
1
AI Adaptability
54
Lift: Workflow tooling rollout, AI literacy programmes, prompt design practice
2
Strategic Clarity
58
Lift: Pilot scoping, OKR-AI alignment, role-to-outcome mapping
3
Income Leverage
64
Lift: Scope expansion, system ownership, automation of routine tasks
4
Skill Resilience
67
Lift: Cross-functional rotations, adjacent-domain projects, T-shape development
5
Market Alignment
71
Lift: Hiring redirection, function-to-capital reallocation, product-led shifts
Module 04 · Roadmap
90-Day Roadmap
The first quarter of action, broken into three 30-day sprints. Each sprint has a single dominant outcome.
Days 0 – 30
Establish
Governance and pilots scoped
- Form an AI Council (exec sponsor, ops, legal, IT, one workforce voice)
- Audit data readiness: where is sensitive data, who has access, what is logged
- Identify 2-3 pilot candidates from the Pilot Selection Matrix
- Publish a one-page AI Usage Policy
- Set the maturity baseline; agree the KPI tree
Days 30 – 60
Activate
Pilots running, signal collected
- Launch 2-3 scoped pilots in the highest-fit teams
- Run weekly stand-ups with pilot owners; collect adoption signal
- Lift the bottom dimension across pilot teams via targeted enablement
- Measure leading indicators (adoption rate, time saved, error rate)
- Document early wins and early failures with equal honesty
Days 60 – 90
Scale or Retire
Wins ramped, losers killed
- Promote pilots that hit threshold metrics; kill those that did not
- Codify the playbook from each surviving pilot
- Open the roadmap for the next 90 days based on observed structural shifts
- Re-run the workforce reading to capture the delta
- Brief the board on outcome, not effort
Module 05 · Pilots
Pilot Selection Matrix
Each team scored on pilot fit using its workforce signals. Higher fit = stronger combination of AI Adaptability, room to lift, and baseline capability.
Team
Size
Index
AA
Fit
Recommended pilot
Marketing
31
548
64
78/100
Content workflow + audience intelligence
Customer Success
22
538
61
73/100
Tier-1 support automation + escalation tiers
Sales
26
612
58
68/100
Lead intelligence + sales summarisation
Operations
15
584
52
61/100
Routine task automation + reporting
Engineering
38
712
67
58/100
Codegen + developer productivity
Module 06 · Governance
Governance Framework
Six controls every organisation needs in place before scaling AI. Templates as a starting point; tailored to your sector and regulatory regime.
Use
AI Usage Policy
Approved tool list. Permissible use cases. Prohibited use cases. Sensitive data classification. Personal accountability statement.
Data
Data Handling
What can leave the perimeter and what cannot. Retention rules. PII redaction protocol. Vendor data processing agreements.
Review
Tool Review Cadence
Quarterly review of approved tools. Re-evaluation when terms change. Rollback procedure when a tool falls out of compliance.
Incident
Incident Response
Trigger criteria for an AI incident. Escalation tree. Disclosure obligations.
Transparency
Disclosure
When AI assistance must be disclosed externally. Logging requirements.
Ethics
Ethical Review Gate
Triggers for ethical review. Composition of the review committee.
Module 07 · Measurement
KPI Tree
What to measure, how often, and what good looks like at this maturity stage. Leading indicators move first; lagging indicators confirm value.
Leading indicators
Weekly
Active users of approved tools
+10% week on week through activation phase
AI-assisted task time saved
Track per pilot; aim for 15-30% time reduction
Adoption breadth
% of pilot team using approved tools at least 3x weekly
Workforce dimension lift
Track priority dimension progress, target +5 points over the programme
Lagging indicators
Quarterly
Workforce Index delta
+15 to +30 points per year through scaling phase
Strategic AI Density
Move from current to +10 percentage points per year
Elevated risk share
-5 to -10 percentage points per year
Output per role
Per-role productivity ratio uplift; sector-specific
Module 08 · Investment
Investment Tiering
Recommended split across People, Process, and Technology for an organisation at the current maturity stage. Allocations drift toward Technology as maturity grows.
People
35%
Hiring redirection, AI literacy programmes, cross-functional rotations. Highest cost, longest payback, single biggest lever.
Process
30%
Governance, pilot operations, KPI infrastructure, review cadences. Cheap relative to People; compounds quickly.
Technology
35%
Approved tooling licenses, custom integrations, data infrastructure. Easiest to over-buy.
Module 09 · Risk
Risk Register
Top structural risks for this workforce, ranked by current signal strength. Each risk has a mitigation playbook.
High
19% of workforce in elevated risk band
Concentrated automation exposure
Mitigation: Activate scope redesign in worst-affected teams. Migrate routine-handling responsibility into AI-augmented workflows. Senior escalation tier protects judgment capacity.
Medium
31% in transitional roles
Large transitional cohort
Mitigation: Targeted leverage and AI adaptability programmes for this cohort. Without action, transitional roles compress; with action, they accelerate into strategic.
Medium
Average 54/100 across the workforce
Weak baseline on AI Adaptability
Mitigation: Workflow tooling rollout, AI literacy programmes, prompt design practice. Concentrate on bottom-quartile cohort first.
Standing
Without periodic review the policy ages out
Governance drift
Mitigation: Mandate a periodic governance review. Update the approved tool list on a regular cadence.
Standing
Single-vendor reliance for any critical workflow
Vendor lock-in
Mitigation: Maintain at least one viable alternative for each critical AI workflow. Annual vendor review with documented exit plan.
Module 10 · Review
Review Template
A structured set of review prompts. Each section is a question to walk through when revisiting plan progress with the leadership team.
01
Revisit the workforce reading
Walk through the current snapshot. Note the metrics that look different from when the plan was last reviewed.
02
Score the 90-day roadmap
Which sprint outcomes were hit? For each miss, identify root cause.
03
Pilot retrospective
Promote, retire, or extend each pilot. Codify learnings into the playbook.
04
Capability lift check
Did the priority dimensions move? Adjust investment if not.
05
Risk register refresh
Promote, demote, or close each risk. Add anything new.
06
Refresh the plan
Update the 90-day roadmap. Adjust investment tiering if maturity has shifted.
Owner + Status Tracker
Each module gets an owner
Inside the gated plan, every module has an owner field and a Pending / In progress / Done status. Track plan execution as a system, not a slide.
Privacy by design
Aggregated only
Every recommendation in the plan derives from workforce-level signals. No individual employee reading is exposed. Individuals retain ownership of their personal report.
Ready to see this populated with your workforce data?
One reading produces the full 10-module plan and the dashboard, day one.
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"I work in a field that is being compressed hard. The report did not pretend the pressure was not real. What it did was show me which slice of my role was insulated and how to migrate more of my work into that slice over the next six months. That is the kind of honesty I needed."
Hannah Kowalski
Creative Director · Warsaw, Poland
"Asked my whole team of twelve to run the assessment. The workforce reading surfaced two roles where we had structural drift we were about to lose to competitors. We repositioned both before the gap showed up in performance numbers. Forty-nine dollars per person is the most asymmetric operational spend I have made this year."
Michael Anderson
Managing Partner · Chicago, USA
"The framework talks about the middle of the authority stack hollowing out, and I realised I was sitting in exactly that position. The migration path it recommended felt obvious in retrospect but had been invisible to me. I moved on it the following quarter."
Elena Ricci
Senior Account Director · Milan, Italy
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