UKAI DEV / DEVELOPMENT & INTEGRATION
AI prototypes, knowledge search and workflow integrations. Explore a useful first build with UK AI Consulting, shaped around your existing stack.
For UK CTOs, SaaS product teams and engineering leaders. Your first conversation explores the use case and technical fit.
WHAT WE CAN SCOPE TOGETHER
UKAI Dev is the AI development and integration enquiry route from UK AI Consulting for UK technical teams. Proposed work covers bounded AI prototypes, integration with supported systems, evaluation and handover. Scope, feasibility and delivery are agreed after discovery.
Explore a specific product feature before committing to a wider rollout. Define expected behaviour, build a bounded prototype and test it against representative tasks.
Map where AI fits into your existing applications and workflows. Plan data access, permissions and controlled actions around the interfaces your systems support.
Make behaviour understandable to the team that will own it. Agree evaluation criteria, failure handling and an appropriate route from pilot to ongoing operation.
Have a feature or workflow in mind? Discuss the task, system constraints and what a useful first version would need to demonstrate.
Discuss your AI integrationPOSSIBLE STARTING POINTS
Choose one workflow with a clear user, accessible data and a result you can assess. These are examples to explore, rather than packaged products.
Retrieve relevant passages from approved sources and show the evidence behind an answer.
Extract and classify information, flag uncertainty and send a structured draft to a human reviewer.
Help users complete a bounded task using the application’s existing capabilities and access rules.
HOW A PROJECT COULD WORK
A proposed delivery sequence, adapted to your constraints. Each step creates something concrete for your team to review.
Review users, workflow, data access and technical constraints. Agree the outcome and what is out of scope.
Review point: a scoped problem and acceptance criteria.Explore a bounded implementation using appropriate samples. Evaluate quality, latency, costs and failure modes.
Review point: evidence for continuing, changing or stopping.Plan the supported connections, permissions, oversight and release path with your technical team.
Review point: an integration and deployment plan.Agree operational responsibilities, evaluation checks and the material your team needs to maintain the work.
Review point: a handover and agreed next steps.
A USEFUL FIRST CONVERSATION
Bring a real task and a view of your environment. The first conversation explores fit and constraints; any proposal follows only if appropriate.
Need strategy first? Explore UK AI ConsultingBEFORE WE START
No. UKAI Dev is a service enquiry page for AI development and integration. It does not provide a hosted API, SDK or public developer documentation.
That is the starting point for discovery. Integration depends on your supported interfaces, permissions, data quality and deployment requirements. Compatibility is assessed before a scope is agreed.
A bounded prototype is one of the proposed engagement areas. Its purpose is to test a useful task and the main technical assumptions before deciding whether to proceed further.
Discuss data classification, access boundaries, provider choices, retention and human oversight during discovery. Requirements and responsibilities need to be agreed for the specific project; this page makes no blanket compliance guarantee.
Ownership, source access, hosting, documentation and ongoing support are matters to agree in the engagement scope. Raise your handover expectations at the first conversation.
Start with a named workflow owner, a bounded task, representative samples and a description of your existing interfaces. Identify data restrictions and who can approve access. If these are incomplete, discovery can establish the gaps before development is scoped.
Depending on the agreed scope, deliverables could include a prototype, integration design, evaluation results, implementation notes and a handover plan. Agree acceptance criteria, source access and operational ownership before proceeding. These are proposed deliverables, not a fixed package.
Agree task-specific checks for output quality, access control, failure handling, latency and operating costs. Test representative cases and decide where human review is required. A promising demonstration alone does not establish production readiness; rollout and ownership need a separate decision.
Retrieval-augmented generation (RAG) retrieves relevant information from selected sources to support a model’s response. It can be explored for internal document search where answers need source evidence. Permissions, retrieval quality and behaviour when evidence is absent still need evaluation. Read Microsoft’s RAG design and evaluation guide.
A quote and delivery plan require a defined workflow, data access requirements, supported integrations and agreed acceptance criteria. Complexity, evaluation effort, deployment responsibilities and ongoing support affect scope. UKAI Dev publishes no fixed price or timeline; discuss these inputs to establish the basis for a proposal.
LET’S MAKE THE NEXT STEP CONCRETE
Bring an AI feature or integration challenge. The first technical conversation explores your use case, supported systems and the information needed to assess a possible scope.
