Conversational AI Voice AI Agents Document AI — Beyond OCR Data & Market Intelligence Marketing Intelligence Private AI Deployment Process Re-engineering AI Strategy & Advisory

AI Consulting Firm · Capabilities

Production AI agents for complex enterprise workflows, as a Private AI Deployment.

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.

Core

Enterprise AI agents

Conversational, voice and document agents integrated into your systems and put into production.

Built in

Workflow redesign

Handoffs, exceptions and approvals mapped and fixed so the agent has a reliable process to run.

Built in

Controlled data & deployment

Private models, in your cloud if required. Sensitive data stays inside the environment you approve.

Core

Enterprise AI agents, as a Private AI Deployment

Conversational AI

Agents that hold a real conversation, look things up in your systems and complete the task — support, internal helpdesk, qualification, knowledge retrieval.

Voice AI Agents

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.

Document AI — Beyond OCR

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.

Data & Market Intelligence

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.

Marketing Intelligence

A raw prospect list scored against your ICP — enriched, deduplicated and ranked, so outbound works from qualified accounts instead of a spreadsheet nobody trusts. We built it for our own pipeline first.

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Custom Private AI Agents

When the workflow is yours alone, the agent is built for it — grounded in your systems and rules, running on open-weight models inside your VPC or on premises, with no calls out to a public LLM.

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.

Built in

The workflow redesign

Process Re-engineering

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.

AI Strategy & Advisory

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.

Built in

Controlled data & deployment

Private AI Deployment

Sensitive data stays inside the environment you approve. We run open-weight models we host and tune ourselves — and where you need it, inside your own cloud tenancy or on your own hardware.

Not a separate product line. It is available on every agent we build, and the default wherever the data is sensitive. For regulated work in Europe it is usually the deciding question.

Not sure where to start

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.

“The same data is keyed into two systems.”

Document AI →

“Support answers the same question fifty times a week.”

AI Agents →

“Nobody has time to make the follow-up calls.”

Voice AI →

“We decide pricing from a spreadsheet that is already out of date.”

Data Intelligence →

“Our AI pilot was stopped by the security review.”

Private AI →

“Nobody can say how long the process actually takes.”

Process Re-engineering →

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.

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