Production AI agents for complex enterprise workflows, with data privacy and control built in.
Most clients arrive wanting an agent. Every engagement includes what it actually takes to ship one: the workflow redesigned around it, and the data kept where it belongs.
Conversational, voice and document agents integrated into your systems and put into production.
Handoffs, exceptions and approvals mapped and fixed so the agent has a reliable process to run.
Private models, in your cloud if required. Sensitive data stays inside the environment you approve.
Enterprise AI agents
Agents that hold a real conversation, look things up in your systems and complete the task — support, internal helpdesk, qualification, knowledge retrieval.
Phone conversations at volume — interruptions, accents, bad lines. We run one in production ourselves, which is where the latency and barge-in experience comes from.
Beyond OCR: invoices, lab results, forms and contracts read into structured, validated records — with confidence scoring, human review where needed, and an audit trail per document.
Governed collection and structuring of market, competitor and category data, with provenance on every field. Running for a Top 500 financial institution across multiple markets.
Delivery is end to end: we build and integrate the software the agent lives in — the app, the portal, the API — then monitor and keep improving it. A pilot nobody uses is not a result.
The workflow redesign
Before an agent goes in, we map how the work actually runs and fix what is broken. Steps get removed, simplified or integrated — an agent only replaces the step that is left once that is done.
On the pharmaceutical field-sales engagement, most of the 3–4% sales gain came before any AI was involved. This is why agents we build actually get used.
For clients not yet sure which workflow to start with: a shortlist of agent opportunities, sized — value, build cost, run cost, payback — and the ones we advise against.
We are the ones who would build it, so the estimates are ours to stand behind. Two to four weeks to a decision you can fund.
Most people arrive with a symptom, not a service
You do not have to pick from the list. Describe what is not working and we will tell you which of these applies — or that none of them do yet.
Start with a conversation about your operations, not a service.
A discovery session is a working conversation, not a demo. You will leave it knowing whether there is something worth doing — including if the answer is no.