Generative AI
Build generation, summarisation and extraction features around a defined business task. Establish representative examples, output constraints and quality checks before connecting the feature to a live workflow.
01 / INTELLIGENCE
Artificial Intelligence
Turn proprietary knowledge and repetitive decisions into useful, governed AI workflows—not isolated demos.
WHO THIS IS FOR
Problems we help solve.
Teams exploring knowledge assistants, AI-enabled products or automation of document-heavy work.
01
Knowledge assistants
Ground answers in approved documents, product data and permissions with citations and feedback loops.
02
Agentic operations
Coordinate multi-step work across CRM, support and internal tools with human approval at consequential steps.
03
AI product features
Add summarisation, classification, extraction or generation to an existing product with evaluation and cost controls.
HOW AN ENGAGEMENT MOVES
01Data and workflow discovery
02Prototype with evaluation criteria
03Integrate permissions and guardrails
04Observe quality, latency and cost
ILLUSTRATIVE SCENARIO
Support knowledge copilot
- Situation
- A service team needs faster answers across scattered policies and product documentation.
- System approach
- A permission-aware RAG assistant retrieves relevant sources, drafts a cited response and routes low-confidence cases to a specialist.
- What your team receives
- Evaluation suite, content ingestion pipeline, observability dashboard and operating guide.
Specialist support, end to end.
Choose the area you need. We can deliver a focused engagement or connect several capabilities.
Agentic AI / AI agents
Design agentic AI workflows with bounded tool access, durable state and approval steps. Agents can research, prepare actions and coordinate systems while people retain control of consequential decisions.
RAG systems
Connect assistants to approved company knowledge using document ingestion, retrieval and source citations. We design permission filtering, content refresh and retrieval evaluation alongside the user experience.
LLM integration
Integrate language models into existing applications through backend APIs. Handle structured outputs, provider errors, rate limits, timeouts and usage tracking so the feature behaves like part of your product.
Conversational AI
Create conversational experiences for customer questions and internal support. Define conversation boundaries, useful fallback responses and a handoff to a person when the answer needs judgment.
MCP integration
Connect AI applications to tools and context through MCP interfaces. Define authentication, permitted operations and audit trails; treat data returned by tools as untrusted input.
AI automation
Combine document processing and model-assisted decisions with deterministic business rules. Add exception queues, review steps and monitoring so automation remains understandable to operators.
Custom AI applications
Build domain-specific AI applications with role-based access, operational dashboards and feedback collection. Deliver the application together with an evaluation process and maintenance guidance.
What goes into the work.
We select the stack around your systems, delivery goals and the team that will maintain it.
Engineering skills
Retrieval design, data preparation, prompt and tool design, evaluation, human review and model-output validation. We test useful task completion as well as latency, failure cases and operating cost.
Tools & platforms
OpenAI APIs for model capabilities; PostgreSQL and vector search for knowledge retrieval; MCP for tool interfaces; tracing and evaluation tools for quality investigations. The final selection follows your data and hosting constraints.
Languages & implementation
Python for ingestion, evaluation and backend workflows; TypeScript for application interfaces and integrations; SQL for operational data. API contracts connect model components to the rest of the product.
Let’s define your project.
- A clear production architecture
- Lower operational risk
- Faster, repeatable delivery
- Systems your team can own