Back to services
Service · AI
AI & Intelligent Integrations
We embed LLMs and other AI capabilities into real products — copilots, smart search, document intelligence — with clear guardrails and measurable impact.
Use Cases That Work Well
- Internal copilots that help support, sales, or ops teams answer questions faster using your existing knowledge base.
- Document understanding pipelines that extract key fields and risks from PDFs, contracts, or forms.
- Natural language search over product docs, policies, or catalogue data.
How We Approach It
- Start with a narrow, high-value workflow instead of a vague “AI chat”.
- Design retrieval and permissioning first, then layer generation on top.
- Measure whether the AI feature actually saves time or improves quality for your users.
Stack & Infrastructure
Depending on your constraints, we work with hosted APIs (OpenAI and others) or self-hosted models, paired with vector stores and traditional databases. We pay close attention to data residency and privacy for regulated industries.
From Pilot to Production
We usually start with a pilot in one team or use case, gather feedback, and then harden the solution for production: adding monitoring, analytics, and clear fallbacks so the experience feels reliable — not experimental — to your users.