Applied AI Integration
Chat, search, and support assistants wired into your site and trained on your content. Useful on day one, with guardrails so it stays that way.
Integration against the tools and data you already have, with evaluation and guardrails so output quality is a measured thing rather than an opinion.
A system whose output can be trusted, or whose failure mode is known.
Working through which processes are genuinely worth automating with AI, and which are cheaper and more reliable solved conventionally.
You receive A ranked list of use cases with effort, risk and expected return for each.
Making your own documents answerable, with retrieval tuned so the model cites the right source instead of inventing something plausible.
You receive A retrieval system over your content with sourcing and citations in the output.
Defining what a correct answer looks like, testing against it, and setting the limits for when the system should defer to a human.
You receive An evaluation set, measured accuracy and documented guardrail behaviour.
Putting the system into real use and watching what it actually does in production, including the cases nobody predicted.
You receive A launched system with monitoring, alerting and a review cadence.