Generative Agile™

Turn your Human + AI operating model into a living system.

Design explicit workflow contracts. Run governed transformation experiments. Use evidence to decide what should scale.

  • Vendor-neutral
  • Applicable across functions
  • Designed for measurable outcomes
00Outcomes

From AI adoption to verified business value.

Faster Workflow Performance

Reduce cycle time and improve throughput.

Higher Decision & Outcome Quality

Improve accuracy and consistency of decisions.

Controlled AI Cost

Right-size usage with guardrails and visibility.

Evidence for ROI

Tie outcomes to decisions with verifiable evidence.

01System Architecture

Beyond another framework.

Observe work. Redesign responsibilities. Test the intervention. Evolve through evidence.

Module 01active

Human + AI Work Graph

Map how people, agents, knowledge, decisions and systems create value together.

Stage · Work
Module 02active

Workflow Contract

Define intent, roles, decision rights and boundaries.

Stage · Contract
Module 03governed

Experiment Engine

Run governed experiments with clear hypotheses.

Stage · Experiment
Module 04verified

Evidence & Value Ledger

Record results and decide what should scale or stop.

Stage · Evidence
Work→Contract→Experiment→Evidence→Value
02Controlled Pilot

Start with one workflow.

A focused pilot that proves the system and builds the foundation for scale.

Works with your existing AI, operational, collaboration and analytics stack.

Generative Agile Transformation Pilot
  1. 01Baseline & Work Graph
  2. 02Human–Agent Workflow Contract
  3. 03Governed Experiment
  4. 04Evidence & Scale Decision
03Capability Coverage

Transform work across the organization.

One operating model, applied consistently across every function that runs on Human + AI work.

  • 01
    Product & Innovation
  • 02
    Technology
  • 03
    Operations
  • 04
    Customer & Sales
  • 05
    Finance
  • 06
    People & Organization
  • 07
    Knowledge & Decisions
  • 08
    Governance & Risk
04Workflow Contract

Make Human + AI work explicit.

A shared contract that aligns people, agents and systems on how work gets done.

Human–Agent Workflow Contract
Intent
What we are trying to achieve.
Human Owner
Accountable human role.
AI Agents
Agents and tools included.
Decision Rights
Who decides what, and when.
Autonomy Boundary
Where agents can operate independently.
Evidence Required
What proof is needed for completion.
Cost Guardrail
Limits for cost, time and resources.
Fallback
Human fallback and escalation path.
Illustrative template — not a customer result
05Measurement

Measure value—not AI activity.

Illustrative dashboard preview.

Illustrative — not a customer result
AI Consumption & Cost
Observed costBudget threshold
TokensModel usageAgent callsCost per outcome
Operational Efficiency
BaselineObservedTarget
Cycle timeThroughputWait timeCapacity
Outcome Quality
BaselineObservedTarget
AccuracyConsistencyReworkQuality risk
Return on AI Investment
BaselineObserved valueTarget
Full delivery costAttributable outcome valueROI development over time
Continuous evolution

A living operating model.

The model is never finished. Each cycle observes real work, tests an intervention, and reshapes responsibilities as the evidence changes.

Driven byEvidence

Observe

Model

Redesign

Experiment

Evidence

Evolve

  1. 01

    Observe

    See how work really happens.

  2. 02

    Model

    Build the work and value model.

  3. 03

    Redesign

    Define better ways of working.

  4. 04

    Experiment

    Run safe, governed experiments.

  5. 05

    Evidence

    Capture results with proof.

  6. 06

    Evolve

    Decide, adapt and scale.

Complement your current landscape.

  • Work Analytics
  • Business Systems
  • Collaboration
  • AI Platforms
  • Governance Systems
Governance layer

Transparent by design.

Every model, contract, and decision is inspectable. Controls live inside the workflow, not in a separate policy document nobody reads.

01

Inspectable Method

Clear models, contracts and decision logic.

02

Evidence Before Scale

Hypotheses are tested against verified outcomes.

03

Works With Your AI Landscape

Uses existing business, AI and analytics systems.

04

Governance Mapped to Work

Controls and accountability embedded in workflows.

Start without deep technical integration. Data access and architecture are defined with each engagement.

Engagement journey

Controlled pilot. Proven path.

A single existing workflow becomes a governed experiment — and the evidence decides what scales next.

  1. Step 01

    Existing AI Workflow

    Select one existing AI-enabled workflow.

  2. Step 02

    Baseline Performance & Cost

    Measure current performance, quality and cost.

  3. Step 03

    Focused Optimization Pilot

    Test changes with clear hypotheses and guardrails.

  4. Step 04

    Evidence & Scale Decision

    Decide to scale, revise or stop based on results.

Open methodology. Governed evolution.

The core method is transparent, documented and improved through structured professional review. Official methods and identity remain governed by the Generative Agile initiative.

Explore the FrameworkContribute Expertise
Discuss a pilot

Is your AI creating enough measurable value?

Start with one existing workflow and leave with verified performance, cost, and ROI evidence — no rip-and-replace required.

  • One workflow to start
  • Governed & vendor-neutral
  • Verified ROI evidence