Agentic Process Automation
Agents that carry out multi-step work end to end, with audit trails and human guardrails.
A chatbot answers a question. An agent does the work. We build agents that carry multi-step tasks from start to finish — inside guardrails you set, with a human in the loop where it matters, and an audit trail for every step.
What it is
A chatbot answers a question. An agent does the work. We build agents that carry multi-step tasks from start to finish — reading the request, gathering what they need, taking the action, and recording what they did.
Every agent runs inside guardrails. It works within set permissions, escalates to a person at the points you choose, and leaves an audit trail for each step. You decide where it can act on its own and where it must ask.
These are not demos. They run in production against real systems, and we hold them to the time they were meant to return.
Who it's for
- Operations with high-volume, multi-step tasks that follow clear rules.
- Teams losing hours to routing, data entry, reconciliation, and follow-up.
- Companies that want automation but need an audit trail and human checkpoints.
What you get
- Agents that complete multi-step work end to end against your real systems.
- Defined guardrails: permissions, human checkpoints, and limits on what runs unattended.
- A full audit trail for every action an agent takes.
- Integration with the tools and data the work already touches.
- A measure of the hours returned, tracked against the baseline.
How we do it
In Discover we find the multi-step work that follows rules and costs the most hours. In Design we set the guardrails — what runs unattended, where a person steps in. In Build & deploy we ship the agent against your real systems with logging from day one. In Optimize we tune it against real cases and track the hours returned against the baseline.
It follows the same four steps we use on every engagement — see the full approach.
Proven in the field
Independent examples of this approach working in the industries we serve — construction, engineering, medical engineering, manufacturing, and renewable energy. These are cited references to others' work; they show the kind of system we build for you.
- Manufacturing
Run multi-step quality work end to end — Deloitte describes generative-AI agents that perform root-cause analysis and draft investigation and regulatory reports in automotive quality, each step logged. Deloitte (opens in new tab)
- Renewable energy
Let agents act in real-time markets within guardrails — Fluence's Mosaic autonomously bids and dispatches grid-scale batteries across energy markets. Fluence — Mosaic (opens in new tab)
- Construction
Automate the document-heavy steps with a trail — Procore's AI agents draft RFIs and review submittals against the specs and schedule, keeping a record of every decision. Procore (opens in new tab)
Questions, answered
Will an agent act without us?
Only where you allow it. You set what runs unattended and what stops for a person. Sensitive steps always wait for approval.
How do we audit what it did?
Every step is logged. You can see exactly what each agent read, decided, and did, and when.
What if it gets something wrong?
Guardrails catch it before it acts on anything that matters, and a person is in the loop at the points you choose. We tune against real use.
How do you prove it saved time?
We baseline the work before we start and track the hours returned against it.
Put agentic process automation to work.
Describe the workflow you'd like to fix. We'll come back within one business day with a first read on what's worth doing.