AI-enabled tools & LLM integrations
Practical AI features that save time — not marketing demos.
For teams that want to embed real AI capability into products or operations without leaking data or exposing keys.
Where this service earns its keep.
- Customer support queues that grind through repetitive questions.
- Long documents and reports nobody has time to read.
- Manual data extraction and classification work.
- Prototype chatbots that lie confidently.
What you receive.
- A scoped AI feature with defined success signals
- Prompt architecture, evaluation set, and guardrails
- Retrieval layer over the client’s own data (when relevant)
- Server-side integration so API keys never touch the browser
- Cost, latency, and hallucination monitoring
How the work runs.
- 01
Problem framing
Where does the AI genuinely save time, and where would it just be a demo?
- 02
Prototyping
Small, evaluable proofs against a written test set.
- 03
Integration
Server-side implementation, auth, rate-limits, logging.
- 04
Evaluation
Offline and online evals; regression tests for prompts.
- 05
Operate
Cost dashboards, error monitoring, prompt-version rollout.
Stack
- Anthropic Claude
- OpenAI
- Local models where private data requires it
- Vector stores where retrieval genuinely helps
Approach
Streaming responses for long output, caching for stable prompts, and cost budgets per endpoint.
Approach
AI provider keys stored server-side only; input sanitisation; output-side content filters; no PII sent to third-party models without explicit consent and a written data-processing basis.
AI integrations — FAQs
Do you build agent frameworks?
When they solve a real problem. Most clients need a well-scoped tool, not an autonomous agent that operates their business.
How do you prevent hallucinations?
By constraining outputs, grounding on retrieval, and building an evaluation set that catches regressions. We do not ship AI features without a way to measure whether they are getting worse.
Ready to scope the work?
Tell us what you’re building. We reply within one business day.