AIF TOOL SUITE
Bring business, technology, and leadership teams together to manage AI opportunities, investments, and outcomes.
Build a shared system of record that preserves decisions, tracks value, and grows with your organization's AI adoption.
AI ADOPTION ACROSS YOUR ORGANIZATION
The Tool Suite establishes a common, trackable workflow for AI adoption, bringing ideas and initiatives from across your organization into one clear view.
Business, technology, finance and leadership teams work together in a shared environment to assess opportunities, agree priorities and track outcomes.
It puts the Applied Intelligence Framework (AIF) into daily practice, helping your organization build a repeatable capability that grows with adoption.
Scroll to explore the full workflow.
Understand which ideas are emerging, where initiatives stand and which decisions need attention.
Bring stakeholders together around consistent criteria, clear ownership and shared evidence.
Carry decisions and learning forward with a repeatable way to advance opportunities and evaluate results.
How the workflow comes together
Build the case for the right opportunities, shape a coordinated portfolio plan and validate the outcomes.
Three connected modules carry decisions and evidence forward in the same shared system of record.
One shared system of record.
What is worth pursuing?
Bring business relevance, technical feasibility, expected value and investment requirements together to build a defensible case.
Explore ModuleWhat should move forward, and when?
Coordinate initiatives around priorities, dependencies and available capacity, adapting the portfolio as circumstances change.
Explore ModuleWhat value are we actually attaining?
Compare expected outcomes with actual results, giving leadership evidence to scale, adjust or stop.
Explore ModuleOutcome evidence informs the next portfolio decision.
Establish the expected outcomes, value and investment for an AI use case.
Turn AI ideas into assessable business opportunities.
A consistent intake structure for every AI opportunity
Business contextValue hypothesisAssessment inputs
Assess business relevance and technical suitability.
AIRS™
AIOP™
Different criteria. A more complete view of the opportunity.
Connect performance targets to expected value.
Defect % (or QA Score)
Percentage of items with defects or QA score improvement.
Expected improvement
Make implementation effort, cost and timing visible.
Bring cost, effort and timing into the decision.
Expected outcomes, projected value and required investment, brought together for an informed decision.
Product excerpts use separate demonstration records.
Build a shared portfolio plan with priorities, timing and investment visible.
Review qualified initiatives in a common portfolio view.
Prioritized Backlog
Set priorities and timing across planning horizons.
Today – 6 months
Sep ’26 – Feb ’27
Intelligent Chatbot for Customer Support
7 – 12 months
Mar ’27 – Aug ’27
Legal Document Search and Retrieval
13 – 18 months
Sep ’27 – Feb ’28
Cash Flow Forecasting
Compare expected value, cost and portfolio trade-offs.
A shared plan with priorities, required investment and expected value in view.
Plan, Prioritize, and Launch AI Initiatives
Product excerpts use separate demonstration records.
Maintain a shared evidence base for delivery, performance and realized value.
Monitor initiative progress through PoC, Pilot and Scale.
Compare observed performance with target criteria.
83%Actual
85%Target
Compare projected and realized value, and identify gaps.
$4.2Mof $5.1M projected
Projected vs. realized valueA clear record of performance, realized value and gaps requiring attention.
Track KPIs and outcomes through PoC, Pilot, and Scale stages
| Initiative | Stage | Projected | Realized | Realization | Status |
|---|---|---|---|---|---|
| Invoice QC Vision | Scaled | $1.5M | $1.4M | 93% | Strong |
| Customer Chatbot | Pilot | $1.2M | $0.3M | 25% | In Progress |
Key Risk for Customer Chatbot
Issue: Adoption plateaued at 45%
Root Cause: Training gaps, quality concerns
Product excerpts use separate demonstration records.
THE TOOL SUITE VALUE CHAIN
The Tool Suite carries the measures and assumptions behind an AI investment from opportunity assessment into portfolio planning and outcome review.
Define what success means
Plan when it should happen
Measure what was attained
Use results to refine the next investment.
TRY THE VALUE LOGIC
Start with a familiar workflow. Define the operational change, choose an outcome KPI, then model its dollar value.
01 · THE USE CASE
Before replying to a customer, a service agent reviews their request and past interactions. AI brings that information together in a short summary, which the agent checks before responding.
Could less preparation time free the team to handle more cases?
Guided example · illustrative assumptions and results.
