AI Agent

Agents that do the work. And show you what they did.

An AI agent handles a repetitive process end to end: reads documents, answers requests, updates the CRM, produces reports. Built around your process, not a template.

4-6 wks
to the first agent
100%
actions logged
ERP/CRM
native integration
GDPR
compliant by design

What makes it different

Built on your process

We start from how the work is done now, including the exceptions. The agent handles what it can and escalates what it should - the escalation rules are yours to set.

Inside your systems

It reads and writes where your data already lives: ERP, CRM, ticketing, shared drives. No parallel system to keep in sync.

A dashboard that shows the truth

Every action logged: what it did, what it escalated, how long it took, what it cost. If the return is not there, you will see it early.

How we build it

Four stages from the process you run today to an agent running in production.

We map the process

We sit with the people who do the work and record what actually happens, exceptions included.

We define the boundary

What the agent decides alone, what needs approval, what it escalates. You set those rules.

We build and test

Built against your real data, in your systems, and validated on cases you have already handled.

We hand it over

Documentation, training and the dashboard. Your team can run and extend it without us.

Where it earns its place

The processes where an agent usually pays back fastest.

Document handling

Invoices, orders, delivery notes: read, checked against the ERP, filed. Anything ambiguous goes to a person with the context attached.

Inbound requests

Routine questions answered from your own documentation, tickets routed to the right team, nothing left sitting in a shared inbox.

CRM hygiene

Records updated after every interaction, duplicates flagged, missing fields chased. The data stays usable without anyone maintaining it.

Recurring reporting

Figures pulled from the systems that hold them, assembled and sent on schedule, with the sources cited.

It works with what you already run

The agent reads and writes where your data lives. No parallel system to keep in sync, no migration required to get started.

  • SAP, Dynamics, Odoo
  • Salesforce, HubSpot
  • Zendesk, Freshdesk
  • Google Workspace, M365
  • REST and SOAP APIs
  • SQL databases

What you get

  • First working agent in 4 to 6 weeks
  • Integration with the systems you already run
  • Full audit trail of every action taken
  • Model-agnostic: providers can change without a rewrite

Frequently asked questions

How is this different from an automation script?
A script follows fixed rules and breaks on anything unexpected. An agent handles variation - a differently worded request, a document in an unusual format - and escalates what it cannot resolve rather than failing silently.
What if it gets something wrong?
You set what it can decide alone and what needs a human. Every action is logged, so a mistake is visible and traceable rather than buried. High-impact steps are typically kept behind human approval.
How long before it pays for itself?
That depends on the process volume, which is exactly what the assessment measures. The dashboard tracks time saved from day one, so you are not taking it on faith.
Can it work across several systems at once?
Yes, and that is usually where the value is. A process that spans the ERP, a shared drive and an email inbox is exactly the kind no single tool covers, which is why it stayed manual.
What happens when a system it depends on goes down?
It queues the work and reports it rather than failing silently. Anything it could not complete is visible in the dashboard with the reason attached, so nothing disappears.

Which of your processes fits?

Describe one on a call. We will tell you whether an agent helps and roughly what it would take.

Book a free call