From strategy to execution. From agile to AI-native.
We architect the future operating model of Fortune 500 enterprises — and deliver it. Most transformations stall between agile and digital. We take you the rest of the way to autonomous.
70% of transformations fail. AI projects fail at 85%.
We synthesized seven major industry studies covering 4,000+ enterprise transformations. The failure modes are consistent across decades, sectors, and geographies. They are also avoidable.
of large-scale transformations fall short of expected outcomes
of AI projects fail to deliver expected business outcomes
of digital transformations actually deliver promised performance gains
Six causes, ranked by how often they kill transformations
AI-first transformation, abandoned at month 18
Leadership announced an AI-first operating model. After 18 months and three reorganizations, the program was quietly shut down. Root cause: leadership never agreed on what "AI-first" meant operationally.
Agile rollout drove 30% senior engineer attrition
Twelve months into a SAFe rollout, the company lost 30% of senior engineering staff. Exit interviews surfaced unclear technology vision and quarterly priority reshuffling as the dominant reasons.
3-year digital program shut down at sponsor change
A new executive sponsor arrived 28 months into a three-year digital program, bringing new strategy. The existing rollout was judged "no longer aligned with mission" — and shut down.
Months 1–8 feel positive: commitment is fresh, early wins land, training cohorts ship. Months 9–18 are where transformations are quietly declared dead — the honeymoon ends before measurable outcomes arrive. Our 7-stage journey is built to survive exactly this zone.
Where is your enterprise on the journey to autonomous?
Five stages. Most enterprises are stuck between Agile and Digital. Our roadmap takes you the rest of the way. Select a stage to explore.
Agile
Aligned teams, iterative delivery, cross-functional value streams emerging.
The 7-stage transformation journey
Built from 21 years of leading enterprise transformations across Fortune 500s, federal agencies, and high-growth scale-ups.
Strategy
Map the transformation thesis. Align leadership on the problem, 18-month measurable outcomes, and sponsor accountability.
Leadership Alignment
Sponsor sign-off, executive cadence, decision rights, and a stable coalition that survives reorgs.
AI Enablement
AI Capability Train, AI Steward role, AI agents with ceremony obligations and measurable outputs.
Agile Transformation
SAFe configuration tuned to the operating model, ARTs that ship, PI cadence in production.
Technical Enablement
Platform engineering, DevOps maturity, automation that removes the toil tax on engineers.
Flow Optimization
Continuous dependency mapping and bottleneck detection across ARTs — problems surface in hours, not weeks.
Business Outcomes
Measured outcomes against the original thesis. Strategy-to-execution alignment as a continuous metric.
AI isn't a feature. It's the layer that accelerates every stage.
Most consultants add AI as a tool. We architect AI as a participant — embedded across the 7-stage journey, accelerating decisions, flow, learning, and alignment in parallel.
AI surfaces context and recommends actions in ART ceremonies, executive reviews, and portfolio steering. Decisions get made faster and stay grounded in data.
Dependency mapping, risk identification, and bottleneck detection run continuously — not just at PI boundaries. Flow problems surface in hours, not weeks.
Patterns from across the rollout are captured, classified, and surfaced to leadership in weekly briefings. The organization compounds its experience instead of forgetting it.
Executive misalignment is the #1 failure mode. AI surfaces drift between stated strategy and observed prioritization in real time — alignment becomes a continuous measure, not a quarterly hope.
We're a SAFe Gold Partner with active SPCT credentials. We've delivered this AI layer across Fortune 500s, federal agencies, and high-growth scale-ups. It's not a slide deck — it's a working capability.
The operating model — before and after
Five operational dimensions, five years of measured engagements. The deltas below are typical, not promised — but they're what the operating-model change actually looks like.
The operating model that doesn't ship
The operating model that compounds
Feature concept to production. Median across engagements.
Board-level strategy-to-execution alignment score.
Velocity per engineer with AI Automation deployed.
3 days down to 6 hours with AI Automation in place.
Typical outcomes across our engagements, anonymized for client confidentiality. We'll walk through specific case studies on a discovery call.
Ready to architect your transformation?
We'll walk through your operating model, surface the failure modes, and map the 7-stage roadmap to your enterprise.
Book a transformation consult →