Journeys

Typical Engagement Paths

Every engagement starts with a clear problem. Find the entry point that matches your situation, then expand only if the value is clear.

None of these exactly describes your situation? is the right starting point.

Entry Points

Focused and Fast

A specific problem, a clear deliverable. Each path runs in weeks, not quarters.

Second Opinion

A significant architecture decision or investment is on the table — new AI platform, vendor selection, build-vs-buy — and leadership wants independent validation before committing budget.

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AI Architecture Peer Review

An independent, document-driven review of your AI architecture by a principal who has both designed enterprise systems and built AI.

AI Architecture Diagnostic

A focused, principal-led assessment of your current architecture, AI landscape, and the shortest credible path forward.

Principal Architecture Oversight Retainer

Ongoing architecture governance and decision support for active transformation programs.

3d review

After: Critical design gaps surfaced. Independent verdict delivered: approve, revise, or reject the proposed architecture.

3w diagnostic

After: Full eight-dimension assessment with remediation roadmap. The depth behind the peer review verdict — every gap quantified, every fix sequenced.

monthly oversight

After: Ongoing architecture governance. The same principal who reviewed the design stays involved as decisions compound.

Architecture validated — or corrected.

Project Rescue

An AI initiative is behind schedule, over budget, or stuck in pilot — and nobody internally has the independence or the mandate to say whether it should be fixed, restructured, or killed.

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AI Project Rescue Diagnostic

A principal-led diagnosis of a failing AI initiative — with an honest fix-or-kill recommendation.

AI Solution Architecture & Design

Complete solution architecture for an identified AI opportunity — technology selection, integration design, data strategy, team specification, and governance framework. Build-ready output an engineering team can implement from day one.

Principal Architecture Oversight Retainer

Ongoing architecture governance and decision support for active transformation programs.

1w verdict

After: Root cause analysis complete. Fix-or-kill recommendation delivered with a recovery playbook if the verdict is fix.

3w design

After: Build-ready specification the dev team can execute from day one. The architecture that caused the stall is replaced.

monthly oversight

After: Every sprint reviewed. Architecture drift caught early. The same principal who diagnosed the problem stays involved through the fix.

Initiative back on track — or cleanly shut down.

AI Roadmap

Leadership wants AI priorities and a concrete plan, but the organisation is not willing to spend six months on a Big 4 strategy project. Leadership wants a roadmap it can fund, not another workshop.

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CTO AI Clarity Session

A senior advisory session for CTOs who need immediate AI clarity and a written next-step summary.

AI Opportunity Assessment

A structured, workshop-driven engagement that identifies, scores, and prioritises AI opportunities across your business — and hands you a roadmap you can act on immediately.

Optional

AI Decision Sprint

Clarity on your most pressing AI decision — in one week, not five months.

4h session

After: Credible AI opportunities surfaced in four hours. Executive pet projects eliminated before they burn runway. Written action summary delivered.

3w roadmap

After: All opportunities scored and ranked. Top targets selected with business cases. A roadmap leadership can defend.

1w decision

After: One decision, one week, one recommendation. The blocker is cleared and the roadmap moves forward.

Prioritised AI roadmap with business cases — in four weeks.

Strategic Journeys

Full Engagements

From first diagnosis through design to ongoing oversight. Each phase is independent — stop anytime.

First AI Build

A company needs its first AI use case in production — not a strategy deck, a working capability. There is no internal AI team, no data science function, and no prior AI initiative to build on. Every vendor wants to sell a 12-month programme. The pressure is to show proof of value before committing at that scale.

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CTO AI Clarity Session

A senior advisory session for CTOs who need immediate AI clarity and a written next-step summary.

AI Opportunity Assessment

A structured, workshop-driven engagement that identifies, scores, and prioritises AI opportunities across your business — and hands you a roadmap you can act on immediately.

AI Solution Architecture & Design

Principal Architecture Oversight Retainer

Ongoing architecture governance and decision support for active transformation programs.

4h session

After: Credible AI opportunities surfaced — executive pet projects eliminated before they burn months of runway.

3w roadmap

After: Opportunities scored and ranked. The first pilot selected with a defensible business case.

3w design

After: A build-ready architecture for the chosen pilot — integration points with the existing estate mapped, model choices made, risks named.

monthly oversight

After: The next two builds run internally — with the same principal reviewing every sprint so the team scales without drift.

First AI use case in production — team ready to deliver the next.

Development Oversight

A company outsources significant software development — a platform build, modernization, AI initiative — and has no independent technical oversight on what the vendor is proposing or delivering. Nobody on the client side can tell if the build is on track.

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Technical Delivery Assurance

Module A2 — Proposal Technical Assessment

Independent per-proposal review covering architecture fit, feasibility, team composition, timeline realism, and red flags. Produces a shortlist recommendation so you can distinguish technically feasible proposals from template responses.

Technical Delivery Assurance

Module A3 — Delivery Health Diagnostic

Current-state assessment of an active vendor engagement: what has been built, architecture soundness, blocker legitimacy, realistic timeline, and root cause analysis. Independently verifies whether vendor-reported problems are real or excuses.

Optional

Technical Delivery Assurance

Module A5 — Technical Acceptance

Production readiness assessment covering code quality, architecture conformance, requirements verification, and operational readiness. Delivers a pass/fail/conditional verdict before you sign off on vendor-delivered work.

5d shortlist

After: Vendor proposals assessed against real architecture. Feasible offers separated from template responses. Contract risks surfaced before signing.

10d diagnostic

After: Per-sprint code quality and architecture conformance review. Vendor progress verified against what was agreed. Blocker legitimacy independently assessed.

7d sign-off

After: Independent technical acceptance assessment. Deliverables verified against specification and quality criteria before sign-off.

Vendor proposals evaluated, delivery verified, quality assured.

AI Architecture

Budget for an AI build has been approved. But no one internally has the combination of system-level architecture experience and independence from the vendor proposals on the table — and development is about to start without a blueprint.

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Optional

AI Opportunity Assessment

A structured, workshop-driven engagement that identifies, scores, and prioritises AI opportunities across your business — and hands you a roadmap you can act on immediately.

AI Solution Architecture & Design

Principal Architecture Oversight Retainer

Ongoing architecture governance and decision support for active transformation programs.

3w roadmap

After: Top AI opportunity selected with business case. Sequencing defined for what follows.

3w design

After: Build-ready architecture with stack, data strategy, AI pipeline, and team spec. Everything needed to start building without guesswork.

monthly oversight

After: Every sprint reviewed. Architecture drift caught early. The same principal who designed the system stays accountable through delivery.

Build-ready architecture delivered, team guided to first release.

Legacy Modernization

A company with a 10-20 year old estate — monoliths, legacy platforms, half-finished migrations — needs AI capabilities, but every initiative stalls on integration complexity. Vendors pitch solutions that assume modern APIs and clean data. Neither exists.

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AI Modernization Strategy Session

A principal-led analysis of how AI changes the modernization approach for your most critical components.

AI-Powered Legacy Portfolio Scan

AI-driven codebase scan that turns legacy complexity into a modernization-ready map.

Legacy-to-AI Bridge Architecture

Bridge architecture for making legacy system data usable by RAG pipelines and AI agents.

Principal Architecture Oversight Retainer

Ongoing architecture governance and decision support for active transformation programs.

3d strategy

After: System-by-system analysis of the legacy estate. AI opportunities separated from noise. A sequenced modernization roadmap leadership can back.

5d scan

After: Code-level analysis of the legacy estate with an AI opportunity map. Modernization candidates identified with confidence, not assumptions.

4w bridge

After: A practical integration architecture that lets AI capabilities access legacy data without requiring a full rewrite.

monthly oversight

After: Ongoing architecture governance during modernization. The same principal who mapped the estate stays engaged through execution.

Legacy estate mapped, AI opportunities identified, roadmap set.