What a Claude consultant actually does
The title covers more ground than "prompt help." Practically, it breaks into four things:
- Workflow design. Deciding what actually belongs in an agent loop versus a simple API call, how tools and context should be structured, and where a human checkpoint needs to sit in the process.
- Agent reliability. Finding the failure modes that don't show up in a demo — silent tool-call errors, context that quietly degrades over a long session, state that gets lost between turns, and claims of "done" that no one actually verified.
- Skills and process documentation. Writing the reusable instructions, skills, and subagent definitions that make an agent's behaviour consistent and auditable, instead of a black box that happens to work today.
- Evaluation. Setting up a way to actually measure whether the agent is getting better or worse over time, rather than relying on a person's gut feeling after a handful of manual tests.
When Claude fits — and when it doesn't
We're not going to pretend one model family is the answer to every problem, because it isn't. Claude tends to be a strong fit where careful multi-step reasoning, longer agentic workflows, and coding-heavy tasks matter — that's where Appaya's own delivery pipeline leans on it most heavily. Other tasks are genuinely better served by a different model, a smaller specialised one, or no model at all.
The more useful truth: the underlying skill — designing a reliable agent workflow, writing evaluations that actually catch regressions, structuring tools and context sensibly — transfers across model providers. Appaya runs a provider-agnostic delivery pipeline across Claude, Codex, Gemini, and whichever engine earns the job on a given task. This page exists because Claude expertise specifically is what a lot of UK teams are searching for right now, and it's real expertise we have — not because we think it's the only stack worth using.
Engagement shapes
Claude-stack work maps onto Appaya's three standard offers, not a bespoke fourth one:
AI Codebase Audit
You have already shipped something on Claude and want an honest read on it — repository, architecture, security, technical debt, UX and the AI implementation itself. Risk-ranked findings, a candid verdict on what to retain, improve or rebuild, and a prioritised 60–90 day plan. A fixed fee, five working days.
Fractional technology leadership
Ongoing senior technical judgement once you know what you have — technical direction, architecture and delivery discipline, without a full-time hire. A monthly retainer, set at a fit check.
Build & remediation
A defined outcome — a new Claude-based workflow built, or an existing one repaired — implemented, tested, and handed over against agreed acceptance criteria.
Founder credibility
Appaya is founded and directed by Luke Czak — twelve years leading product and technology in UK regulated fintech, from Series A startups to global banks, now directing Appaya's AI-native delivery pipeline day to day. Luke scopes every engagement, steers the agent fleet doing the work, and signs off every build before a client sees it. More background is on his personal site, lukeczak.com.