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Agents that work. Against your numbers.

AI agents on top of your operation that collect, follow up, monitor, and report. Each one ships with the metric it was built to move.

For you if…

  • Your team spends hours chasing collections or quotes.
  • You find out about inventory or delivery problems after they happen.
  • The monthly report takes a week to put together.

What’s included

  • Agent prioritization by impact.
  • Build and integration.
  • Baseline and metric per agent.
  • Monitoring and failure handling.
  • Team training.

First agents

  • CollectionsFollows up on every overdue invoice and tells your team when to step in.
  • Sales follow-upKeeps quotes from going cold: reminds, asks, and updates the order.
  • Operations monitoringWatches inventory and deliveries and warns you before the problem reaches the customer.
  • ReportingBuilds the monthly report from your operation’s numbers, without waiting a week.

Other use cases

  • Invoice capture
  • Quotes from email
  • Ticket routing
  • Supplier onboarding

How it runs

  1. Prioritization & baseline

    We pick the agent with the most impact and measure the number it will move.

  2. Build & integration

    We build it on your data and connect it to Odoo and your channels.

  3. Rollout

    Your team uses it under supervision; we tune it until the number moves.

Total duration: 4 to 6 weeks for the first agent

Done when

Each agent moves the number it was built for.

How it’s sized

Per agent: how many information sources it needs to query and how many people work with it.

What comes next

One working agent opens the door to the next.

Evolution

SLA-backed support and continuous improvement at every stage.

Done when

Ongoing relationship.

Frequently asked questions

Do I need unified data first?

It depends on the agent. The diagnostic tells you which ones can work with today’s data and which need to go through Unify first.

How do I know an agent works?

Before building it we measure a baseline. The agent is done when it moves that number, not when it switches on. No labs: agents in production.

What happens when an agent gets it wrong?

Every agent ships with monitoring and failure handling: it knows when to hand the case to a person on your team.

Which AI models do you use?

We’re official partners of Anthropic, OpenAI, Microsoft, and AWS. We choose the model per task, without locking you into any of them.

Let’s talk about your operation.

Tell us how your business runs today and where it hurts. We map the rest together.