Common questions

Straight answers. No slideware.

The questions operators ask before they hire us: scope, speed, cost, and how we prove a system actually works.

  • What does PYJ Advisory build?

    Software, AI, internal tools, dashboards, and customer-facing systems for growing UK businesses. A hospitality ops assistant. A property-portfolio reporting dashboard. A booking flow that actually converts. We work directly with you, ship in weeks, and run every build against a clear success metric you agree on up front.

  • How fast can you ship something useful?

    Most useful builds ship in two to six weeks. Week one is a diagnosis: what work is repetitive, what data is available, what success looks like. Then we build the narrowest version that produces a measurable result, prove it in production, and expand from there only once it has earned the right to scale.

  • What does it cost to build with PYJ?

    A 30-minute diagnostic is free. A narrow, production-ready build (one task, one team, one measurable outcome) typically lands in the £8K to £25K range over two to six weeks. Larger systems with multiple agents, real evaluations, and integration into existing tooling scale from there. We tell you the range during the diagnostic so you can compare against hiring or an off-the-shelf vendor before committing.

  • What does working with PYJ look like?

    Depends on the brief. Some clients want us inside their workflow building alongside their team. Others want a discrete project delivered end-to-end. Some just want advisory. We diagnose the real problem first, then propose the engagement that fits. One accountable lead carries the work from the first conversation through to production, no agency-to-developer handoffs.

  • Why not just hire someone in-house?

    Often the right answer eventually. PYJ is the right answer when you need speed (8–12 weeks vs a 4-month ramp), breadth across diagnose-design-build-support, or project-bounded risk without a headcount commitment. We'll tell you on the diagnostic which one fits. If a full-time hire is genuinely better for you, we'll say so.

  • Why not just use Bubble, Retool, or another no-code tool?

    If off-the-shelf or no-code fits, use it. We come in when the workflow Bubble can't model, the dashboard your stack can't produce, or the integration nobody at the SaaS vendor wants to build. Custom build only earns its keep when the alternative genuinely hits a wall.

  • Do we own the code and data afterwards?

    Yes, fully. Code, models, prompts, dashboards, runbooks: all yours, in a repo you control, on infrastructure you can run yourself. We hand it over with documentation and the ability to operate it in-house. No vendor lock-in, no per-seat licensing surprises, no black-box "platform" tax.

  • What happens after the build ships?

    A runbook, observability, and a fixed support window so model drift, regressions, and the next request don't become yours alone. Handover to in-house when you're ready. We're not building a recurring-revenue trap, most engagements end cleanly with you owning everything we built.

  • Do you work with UK businesses outside London?

    Yes. We are UK-based and work remotely with operators across the UK and internationally. On-site time is available when a project genuinely benefits from being in the room (usually the diagnostic week or a launch milestone), but most engagements run as a tight remote partnership.

Technical questions (RAG, agents, evaluations)
  • Do you implement RAG and agentic workflows?

    Yes. RAG over your operational documents (SOPs, contracts, booking history, knowledge bases), multi-step agentic workflows (admin processing, lead routing, support triage), and custom evaluation pipelines so the system stays reliable as your data changes. We use Anthropic Claude, OpenAI, or open-source models depending on cost, latency, and fit.

  • What is RAG and when do you reach for it?

    RAG (retrieval-augmented generation) lets a language model answer using your own documents rather than its training data. We use it when the answer must come from a closed corpus you control: SOPs, legal precedents, support tickets, product manuals, booking history. We do not use it as a generic chatbot wrapper. If the problem is not answer-from-documents, we pick a different tool.

  • How do you evaluate that an AI system is reliable?

    Every production agent ships with a written eval set: a few hundred labelled inputs that represent the real work, scored automatically on every model or prompt change. We measure against a human baseline you agree to before we build. If a new model or a prompt change drops the score, the change does not ship. This is the difference between a demo and a system you can actually run.

Question not covered here? Email pj@pyjadvisory.com and we answer properly. Ready to commission? See the public pricing and secure your slot with a £99 refundable deposit.

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