Regional manufacturer ManufacturingAnonymised at the client's request
An accounts payable agent reads free-form invoices and posts to SAP.
Read the case- Straight-through processing
- 92%
- AP throughput
- 3×
- Cost per invoice
- < $0.40
- Decide
- Build
- Scale
Agents and automation that reach production
We build the agent, the deterministic automation, the integrations and the review screens as one system, with people in the loop where accountability requires it.
Agentic Implementation is the build of governed AI agents, RPA and integrations that run a finance or operations process in production, with human review where accountability requires it. It delivers working automation tested against real cases, a review interface, observability and a runbook for the team that operates it.
What changes in the operation
Exceptions resolved, not forwarded
Agents read unstructured documents and resolve bounded decisions.
Deterministic steps stay deterministic
RPA or an API runs the steps that must be exact, such as posting to the ERP.
Quality proven before release
Every agent is tested against a golden set of real cases, and release depends on the results.
How it runs, and what you receive
Scope the use case
Define the agent's job, its inputs and outputs, the escalation path and which steps stay deterministic.
Prototype on real cases
Build a working agent on representative data and measure it against the evaluation set before committing to production.
Release to production
Deploy securely with your security team, connect the systems, switch on observability and human review.
Hand over to operation
Deliver the runbook and monitoring, then either train your team to run it or continue as Managed operation.
You receive
- Production agents and automations
- Integrations and applications
- Knowledge and data layer
- Human-in-the-loop review interface
- Evaluation set and test suite
- Observability dashboard and runbook
What we can show today
Figures are from the scope and measurement period described in each case. They are not projections for other engagements.
Frequently asked questions
Which models do you use?
We are model-agnostic. We work with Anthropic and OpenAI models, among others, and choose per use case by testing on your data for accuracy and cost. Where the data runs is decided with your security team.
We already have RPA. Do we need agents?
Keep RPA for deterministic steps. Agents take the exceptions and unstructured inputs it cannot handle. Many processes need both, layered.
How do you keep an agent from making things up?
Anything that touches a system goes through defined tools, not free text. Answers come from approved sources, low-confidence cases go to a person, and automated evaluations block a release that gets worse.
Bring one process. We will show you what changes.
Share the workflow, its monthly volume, the systems involved and where exceptions pile up. A delivery lead will come back with an assessment of fit and a practical next step.