Career Risk · 6 min read · Oct 2026
For Companies
The AI Implementation Plan
A 10-module plan built 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 matches a live customer plan, filled with illustrative data based on a 180-employee Series B SaaS project.
About the plan
The 90-day operating plan for AI-driven workforce change
The Implementation Plan is the bridge between the workforce reading and what a leadership team actually does next quarter. Every number in the plan comes from the workforce reading, not from a generic playbook. Where AI risk is concentrated, where you are short on senior capacity, which teams need their roles redesigned, and where the budget should go are all set out as specific moves, in order.
Ten modules cover readiness, the mix of skills, redesigning roles one by one, redirecting hiring, and ROI. The plan comes as both a live dashboard and a polished PDF for leadership, made for HR, People, and executive teams running the change. It turns the workforce reading from a one-off snapshot into a clear plan of action for the first 90 days.
Preview
10 modules. Every number comes from the workforce reading.
Series B SaaS · 180 employees
Module 01 · Readiness
AI Readiness Assessment
The starting baseline, taken directly from the workforce reading. Everything below builds on it.
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, based on the workforce reading.
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 scoring dimensions averaged across the workforce, weakest first. The lowest two are the priority to improve over 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, shifting budget to the functions that create value, product-led shifts
Module 04 · Roadmap
90-Day Roadmap
The first quarter of action, split into three 30-day sprints. Each sprint has one main goal.
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 and track how adoption is going
- Raise the weakest dimension across pilot teams with targeted training
- 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
- Write up the playbook from each pilot that survived
- Plan the next 90 days based on the changes you have seen
- Re-run the workforce reading to measure the change
- Brief the board on outcome, not effort
Module 05 · Pilots
Pilot Selection Matrix
Each team scored on how well it fits a pilot, using its workforce reading. A higher fit means a better mix of AI Adaptability, room to improve, and starting 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. Supplied as templates to start from, then tailored to your sector and regulations.
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 this maturity stage. The mix shifts toward Technology as maturity grows.
People
35%
Hiring redirection, AI literacy programmes, cross-functional rotations. Highest cost, longest payback, and the single biggest driver of change.
Process
30%
Governance, pilot operations, KPI infrastructure, review cadences. Cheap next to People, and the payoff builds up fast.
Technology
35%
Approved tooling licenses, custom integrations, data infrastructure. Easiest to over-buy.
Module 09 · Risk
Risk Register
Top risks for this workforce, ranked by how strong the signal is right now. Each risk has a plan to deal with it.
High
19% of workforce in elevated risk band
Concentrated automation exposure
Mitigation: Redesign roles in the worst-affected teams. Move routine work into AI-assisted workflows. A senior escalation tier keeps the people who exercise judgment.
Medium
31% in transitional roles
Large transitional group
Mitigation: Targeted value-building and AI Adaptability programmes for this group. Left alone, these roles get squeezed by AI; acted on, they move up into strategic work.
Medium
Average 54/100 across the workforce
Weak baseline on AI Adaptability
Mitigation: Roll out workflow tools, AI literacy programmes, and prompt design practice. Start with the lowest-scoring quarter of staff 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. Write the lessons 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 full plan, every module has an owner and a Pending / In progress / Done status, so you can track the plan as it runs, not as a slide.
Privacy by design
Aggregated only
Every recommendation in the plan comes from workforce-level numbers. No individual employee reading is shown. Individuals keep 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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Hannah Kowalski
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"I had my whole team of twelve take it. The group results flagged two roles that were quietly falling behind and at risk of losing ground to competitors. We fixed both before it showed up in their numbers. At forty-nine dollars a person, it is the best-value spend I have made all year."
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Michael Anderson
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Elena Ricci
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