34+
Years of Experience
40%+
Fortune 100 clients
60k+
Students Trained
9
SAFe Fellows & SPCTs
A Pilot Small Enough to Approve, Real Enough to Matter
This is a short, contained pilot that applies ICON's Hyperadaptive Model, Foundation plus AI Augmentation stages, to one value stream, ART, or high-priority workflow. It combines assessment, enablement, light tooling, and coaching to produce measurable early wins and a clear path to scale, without asking you to commit to an enterprise rollout up front.
What You Get
Proof, Not Theory
See AI value inside your real context with minimal disruption.
Momentum
Generate reciprocal wins that build internal advocacy fast.
Concrete Metrics
Get a reusable pattern for broader transformation, backed by numbers.
A Trusted Partner
Position ICON for the full journey from pilot to AI-native enterprise.
The Problems This Solves
- Pilot fatigue and initiatives that never scale.
- No path from experiment to a real operating model.
- Missing feedback loops between AI experiments and Agile cadences.
- Difficulty quantifying business impact early enough to matter.
Tools Required
Client GenAI tools plus optional ValueOps or ALM platforms. ICON supplies the Hyperadaptive frameworks and coaching.
What Happens
Activities
A scoped readiness check, use-case selection, team enablement and prompt integration, pilot execution with coaching, outcome measurement, and a retrospective with scale design.
Deliverables
Pilot success metrics and a case study, updated AI-augmented practices, a lessons-learned playbook, and a Hyperadaptive scale roadmap for the next one to two Program Increments.
Built on ICON's Hyperadaptive™ Model
This pilot isn't a one-off experiment. It's the first step inside a proprietary framework our SPCT-certified coaches have used to guide 40% of the Fortune 100 from early AI wins to enterprise-scale operating models.
Book Your PilotWhere to Go From Here
Advanced Coaching Roles
Ready to turn a successful pilot into a permanent operating model?
See the RolesFrequently Asked Questions
A pilot proves AI value inside a real value stream or ART with minimal disruption and produces the metrics you need before asking for a bigger investment. It also gives you a reusable pattern instead of forcing you to redesign from scratch at scale.
We start with a scoped readiness check and use-case selection, looking for a workflow where a win will be visible and where the team is willing to try something new. High-friction, high-visibility work usually makes the best pilot.
You still get a retrospective and an honest read on what didn't work, which is valuable on its own. The scoped nature of a pilot means failures are cheap to have and fast to learn from, unlike a stalled enterprise rollout.
A Hyperadaptive scale roadmap for the next one to two Program Increments, plus specific expansion recommendations for where to apply the same pattern next.