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Generative AI development services beyond a chat widget — enterprise LLM integration, AI workflow automation and agentic systems with guardrails.
A generative AI feature that works in a demo and one that survives production traffic are different engineering problems. The demo needs a good prompt. Production needs a retrieval-grounded AI system — enterprise LLM integration with retrieval grounded in your actual source data and attribution back to it — a defined behaviour for the cases the model gets wrong, and monitoring that tells you when quality has quietly degraded, not a Slack message from a customer three weeks later.
We build AI workflow automation to integrate with the tools a team already runs, rather than asking them to adopt a new system of record. Where a decision genuinely needs a human — approving a refund, releasing a regulated communication, overriding a classification — this is AI automation with human review built around that checkpoint from the start, not retrofitted after an incident makes it obvious it was missing.
Scope the workflow
Map the exact task, its failure modes, and where a human check is genuinely required.
Ground the system
Build retrieval against your real source data, with every answer traceable back to it.
Guardrail it
Define what the system does when it's uncertain — and test that path as hard as the happy path.
Instrument it
Ship with evaluation and monitoring live from day one, not added after the first bad week.
We start with a scoped assessment of the actual problem, agree what "done" looks like against a measurable outcome, then deliver in stages you can review — rather than one large deliverable at the end.
Augment, by default. We integrate with the stack and team you already have. A full build is scoped only when that's genuinely the right call, not the default assumption.
Generative AI & Automation rarely sits in isolation — it usually touches the other disciplines in AI Engineering. We scope the full picture up front so you're not surprised by a dependency later.
Tell us the specifics. We'll give you a direct read on scope, timeline and whether it's a fit.