AI Transformation Engagement
A multi-quarter engagement covering strategy, implementation, integration, and team training. Principal-led (Bogdan in the discovery and architecture phases, ongoing oversight throughout). Outcome: AI deployed in production across the use cases identified during strategy.
- Engagement
- 6–18 month engagement · principal-led
- Built for
- CEOs · COOs · CIOs · GP principals · Board sponsors
Businesses committing to real AI transformation need a partner that can carry the strategy AND the implementation across multiple quarters. The market is bifurcated: strategy consultancies that don't build, and engineering firms that don't strategize. The transformation needs both.
What this is
The flagship engagement. A genuinely strategic partnership for businesses that are ready to commit to a real AI transformation — and want the strategy and the build under one roof.
Four phases, with overlap rather than hard handoffs:
- Strategy. Where AI fits in the business. Which use cases pay back fastest. Which use cases are foundational for the others. The roadmap.
- Architecture and pilot. The technical foundation. The first use case shipped to production within the first quarter as a proof-of-shape.
- Build-out. Additional use cases through subsequent quarters. Each builds on the foundation rather than starting over.
- Operation and team. The transition from build-engagement to ongoing operation. Team training. Documentation that survives the engagement ending.
How it's built
Per-engagement. The architecture decisions are made against the business's specific data, software stack, and operating context. The bar across the engagement: production-grade. Idempotent processing, observability, capacity under burst, deployable rollbacks — the engineering bar we hold across the catalogue.
What you get
- The strategy roadmap.
- The architectural foundation.
- AI deployed in production across the use cases identified.
- Team training and documentation that lasts.
- Principal-level oversight throughout the engagement, not just at the start.
Engagement is shape, not list.
Length and price are functions of the data and the destination. The shape below is the typical engagement.
- Length
- 6–18 month engagement · principal-led
- Lead
- Bogdan
- Cadence
- Async, weekly
- Bar
- Production
Scoped during the discovery call against the actual data and the operation it integrates with.
Principal engineer. Architecture and most code ships through one keyboard.
Written updates between, calls when the decision needs the room.
Async correctness, capacity under burst, observability at every boundary.
Products this composes with.
Same suite, or vertical-specialized versions in another.
- Same suite · AI Implementation Suite
AI Implementation Audit
A productized 2-4 week audit — operations mapped, candidate AI use cases identified, each scored on effort and impact, packaged as a roadmap document with prioritized action plan.
- Same suite · AI Implementation Suite
Document Intelligence Engine
A document-AI pipeline that ingests the business's document corpus, classifies by type, extracts the relevant fields, routes to downstream systems with confidence-graded review queue.
- Same suite · AI Implementation Suite
Process Automation Agents
A multi-step agent orchestration layer — workflows expressed as agent-coordinated processes, integrated with the business's existing systems, with human-in-loop checkpoints where the workflow needs them.
What buyers ask about this one.
How is this different from Tenex or other AI-transformation firms?
Tenex is excellent at the strategy-and-program-management half — change management, executive education, ROI frameworks. Our differentiation is depth on the build side. Tenex's clients describe their model as 'we set strategy, we coordinate execution.' Our model is 'we set strategy AND we build the system.' If the engagement requires real engineering, this fits. If it's primarily org-design and change management, Tenex is a better choice.
How is this different from the per-project AI agency model?
Agencies typically build per-project — scoped engagement, fixed deliverable, hand-off. The Transformation Engagement is multi-quarter strategy-plus-build — the same team that scopes the program executes the program, with continuity across the use cases. Different commercial shape and different depth.
What does 'principal-led' actually mean in practice?
Bogdan is in the discovery and architecture conversations directly. Implementation work is collaborative between Bogdan and the team. Project management and account oversight stay with Bogdan throughout. The engagement doesn't degrade to junior-staff execution after the strategy phase.
What's the typical engagement structure?
Quarter 1: strategy and architecture, paired with a fast-shipping pilot on the highest-leverage use case. Quarters 2-4: build-out across additional use cases identified in strategy. Optional Quarters 5+: ongoing operation and expansion. Each quarter is committable in advance or extendable.
Pricing?
Scoped to business size and engagement depth. Discovery call covers scope. No retainer; per-quarter commitments with optional extension.
If the deliverable matches the gap, the next step is one call.
We'll scope length and price against your data and the operation it integrates with. No retainer, no fishing.
Bogdan and team · async-first · OP—2026