Moving AI beyond proof-of-concept
Turn promising prototypes into operable systems by defining their place in the architecture, data and model boundaries, quality evaluation and ownership.
Independent software architecture
Architecture for decisions that cross boundaries.
I help established companies and growing tech teams make and implement consequential decisions around software architecture, AI integration and technical strategy.
Typical mandates
From promising technology to a system that holds
The work begins where a tool demo, isolated technical question or generic transformation programme stops being enough.
Agentic engineering and AI-enabled delivery
Design coding-agent and tool-using workflows around real engineering work: repository context, task decomposition, evaluation, review, security boundaries and CI feedback.
Architecture and platform decisions
Structure build-or-buy, platform boundaries, integration, cloud and modernisation options so assumptions and trade-offs become explicit and implementable.
Senior architecture on demand
Bring experienced architectural perspective into a specific decision, critical phase or defined programme — without adding another permanent role or large-consultancy overhead.
Concrete outcomes
Decisions that teams can act on
The purpose of an architecture mandate is not to create more documentation. It is to improve the quality and implementability of decisions.
- A clear framing of the decision, objectives and constraints
- Architecture options with explicit trade-offs
- AI system boundaries, evaluation approach and operational ownership
- Agentic workflows with appropriate tools, context and review gates
- Target architecture, integration boundaries and build-versus-buy recommendations
- A realistic sequence for implementation or modernisation
- Identified technical, operational and organisational risks
Working style
Close enough to implementation
I work directly with decision-makers, product leaders and engineering teams. I make assumptions, dependencies and trade-offs explicit, then stay close enough to implementation to see whether the decision works in practice.
The format follows the problem.
An engagement can be a focused assessment, support for a specific architectural decision, or embedded architectural leadership for a defined period. It is shaped around the decision rather than a predefined consulting package.
YOPITER does not sell development capacity or generic transformation programmes.
A good fit
When senior depth changes the outcome
AI has stalled after the demo
Potential is visible, but architecture, evaluation, integration or operating ownership remain unclear.
A platform decision has consequences
The choice affects product direction, organisational capability and long-term engineering cost.
Agentic engineering needs structure
Teams are experimenting with AI tools, but lack a coherent approach to context, controls and measurable quality.
An existing system must evolve
The goal is meaningful change without defaulting to disruption or a wholesale rewrite.
A growing team needs temporary depth
There is a critical phase or decision, but no need for another permanent architecture role.
Different functions frame different problems
Business, product and engineering need one decision model and a direction they can share.
Bring the decision
Start with the situation, not a finished brief.
A short description of the current situation, the decision ahead and the people involved is enough to begin.