Services
Advisory that can become engineering.
Six ways the method is applied. Each starts with the same question: what problem are we actually solving?
AI & Modern Systems Strategy
Where and how AI can create real value.
“Is AI the right tool for this, and if so, where exactly?”
Typical outputs
- Opportunity map with evidence grading
- Hosted vs custom model assessment
- Operating-cost model for inference
- GO / PAUSE / STOP per candidate
Architecture & Technology Advisory
Architecture, system design, integration and technical strategy.
“What shape should the system be, and why?”
Typical outputs
- High-level design
- NFR register
- Integration and data views
- Decision trace for each major choice
AI Product Development
Production AI systems and products.
“Can we build this so it works reliably outside the demo?”
Typical outputs
- Evaluation harness before features
- Retrieval, agent and fallback design
- Observability and cost controls
- Working software
Independent Architecture Review
Objective review of an existing or proposed architecture.
“Would this design survive contact with production, scale and change?”
Typical outputs
- Findings graded by evidence
- Complexity and reversibility assessment
- Risks with likelihood and impact
- Prioritised recommendations
Build vs Buy & Technology Economics
Commercial, technical and operational comparison.
“What does each option really cost across build, run, change and exit?”
Typical outputs
- Option comparison across four cost horizons
- Trade-off matrix
- Vendor dependency and exit analysis
- Recommendation with stated assumptions
CTO & Engineering Advisory
Senior technology guidance for founders and engineering leaders.
“What should we decide this quarter, and what can wait?”
Typical outputs
- Decision calendar by reversibility
- Technical due-diligence support
- Team and platform sequencing
- A second opinion when it counts
Anti-positioning
What We Won't Do
Anti-positioning, stated plainly. These are the ways technology consulting usually goes wrong.
If the right answer is “don't build it”, we will tell you.
Recommend AI because it is fashionable.
Recommend technology before understanding the problem.
Manufacture ROI numbers.
Hide cloud or operating costs.
Introduce unnecessary complexity.
Pretend assumptions are facts.
Ignore non-functional requirements.
Hide architectural trade-offs.
Recommend a vendor simply because it is familiar.
Tell you something will work when we don't have enough evidence.
Force an engagement because we had a consultation.
Free · 30 minutes · one real problem
Bring a problem. Leave with clarity.
Thirty minutes, one real problem, structured thinking. If there's no value, there's no engagement.