AI agents for companies, running inside your own systems
AI agents are models that take actions inside your systems, not just answer questions. They run in your environment, connected to the tools you already use, follow a defined process, and either act directly or pause for a person to approve the step. Not a chatbot on your website, an operator moving through your existing workflow.
Three reasons companies call us about agents
Manual work is piling up
Requests, tickets and documents accumulate faster than your team can work through them by hand. Adding people is slower than the backlog grows.
Headcount doesn't scale with volume
Order volume, enquiry volume, case volume all keep rising. Hiring budgets do not rise with them, and hiring takes months you do not have.
Existing automation is too rigid
The tools you already run automate the steps that never change. The moment a case looks slightly different, a person has to step in anyway.
What you get
| Building block | What is in it | Where it runs |
|---|---|---|
| Process automation | Repetitive steps in a defined workflow run without a person starting them by hand, from intake to hand-off. | in your network |
| RAG for internal knowledge | Your documents and business systems are connected, so the agent answers from your own material, with a traceable source in every answer. | in your network |
| Agent orchestration | Several agents and tools are coordinated for one process, each with a narrow, clearly defined task. | in your network |
| Human-in-the-loop approval | Steps you define as sensitive stop and wait for a person to confirm before anything happens. | in your network |
| Audit logging | Every action an agent takes is logged: what it read, what it decided, what it did, and when. | in your network |
| Integration with existing systems | Connects to the ERP, CRM or case system you already run. No separate application for your team to learn. | your systems |
Industry, process automated, agent mode used, one result figure, approved quote with name and role.
One process, from manual to assisted
A recurring document review, three people, four hours a day between them. The agent drafts the review, flags anything unusual, and a person confirms before it moves on. We disclose the volume, the approval rate and the time saved, and you can repeat the calculation with your own figures.
Assisted or autonomous
| Assisted | Autonomous | |
|---|---|---|
| Decision | A person confirms every action before it happens. | The agent acts within limits you define, a person reviews after the fact. |
| Best fit | High-stakes or early-stage processes, while trust is still being built. | High-volume, well-understood processes with a stable pattern. |
| Speed | Matches your team's pace, one approval at a time. | Immediate, batched or continuous, as the process requires. |
| Oversight | Every action queued for approval before it runs. | Logged and sampled, exceptions escalated to a person. |
Process and duration
Once a process is live, it does not run unattended. We monitor what the agent does, review approval rates and exceptions, and keep the model current, the same operating commitment behind every system we deliver.
Six questions
Book an initial call, 30 minutes
We look at the process that costs you the most time, the data it touches, and where a person needs to stay in the loop. At the end there is an assessment of whether a pilot makes sense, and what it costs.