Agentic AI

AI agents that do real work in your business.

We build agents that read incoming requests, process documents, watch performance, draft the follow-up and prepare the next action, connected to your real systems through APIs and MCP, hardened with approvals, retries and audit trails, and built on Claude, OpenAI or Gemini. Production systems, not chatbot demos.

Your people approve anything that matters. AI assists, it does not take over.

How it works

The same five steps, every agent we build

Connected to your approved systems, always with your team in control.

Step 1

Connect approved data and systems

The agent only ever reads the data and uses the tools you approve, through scoped, audited access.

Step 2

Monitor the metrics and workflows that matter

It watches the numbers and processes you care about, continuously, not just when someone opens a dashboard.

Step 3

Identify issues, risks, and opportunities

It spots anomalies, drops, gaps, and openings early, and checks whether a change is real before raising it.

Step 4

Prepare insights, alerts, tasks, or recommendations

It does the groundwork and hands your team something ready to act on, with the numbers it used shown alongside.

Step 5

Let your team review and approve important actions

Important decisions stay with your people. AI assists, it does not take over.

Not sure where an agent would pay off?

We will look at your data and workflows and suggest one high-value place to start, and tell you plainly if AI is not the answer.

Discuss Your AI Project
AI workflows

AI agents and workflows we build

Each one is built around your systems and your data, not configured from a template. Sixteen of the most common starting points, across four capability areas.

Reporting & analysis

Agents that read the numbers, explain what changed and keep the forecast honest.

Operations & sales

Agents that do the operational work: intake, follow-up, outreach and the tasks in between.

Knowledge & documents

Agents that read your documents, structure them and answer from them, with sources cited.

Monitoring & alerts

Agents that watch tracking, revenue, stock and accounts, and raise their hand in time.

Your team in control

An agent prepares the work. A person decides.

Every agent shows the numbers it used and stops before anything that matters. We also choose the model per use case, weighing accuracy, data privacy, cost and what your systems require, because no single AI tool is right for every job.

Nothing important is sent or changed without approval.

What that means in practice

  • Scoped, audited access to only the systems you approve
  • Answers checked against the same modelled data your dashboards use
  • The figures behind an answer shown alongside it
  • Business tiers with provider training on your data switched off
  • A person reviews anything that gets sent, changed or actioned
  • We tell you where the model’s limits are, and when not to use one
Getting started

A simple, low-risk way to get started

Three clear steps to working together, backed by commitments that keep the risk on us, not you.

  1. Step 1 We understand the problem and design the system We learn your goals, systems, and the questions you need answered.
  2. Step 2 We build it, and prove it works Data, dashboards, automation or AI agents, built with Claude Code and owned by our engineers.
  3. Step 3 We deploy, monitor and keep improving it We keep improving it as your business grows and your questions change.
A no-risk way to start

We remove the risk of getting started so the decision is easy. Here is our commitment to you:

  • Free first consultationA practical working session about your data, workflows and AI opportunities, not a sales pitch. If we are not the right fit, we will say so.
  • Clearly scoped first projectWe agree on the deliverable, timeline, and price up front. No open-ended retainer required to begin.
  • You own everythingEvery pipeline, dashboard, workflow and agent we build is yours: your accounts, your code, documented, with no lock-in.
  • No long-term contract to startBegin with one focused engagement. Continue only if the results earn it.