Applied AI agents
We define where agentic AI creates value, then design, implement and calibrate your agents all the way into operation.
See applied AI agents
Strategy, design, implementation and calibration of your AI agents.
We choose where agents create value, build them and connect them to your systems, then calibrate them under human approval. We also implement your PSA, the system of record for your agents.
Let’s talk about your projectThree domains
Architecture and integration
We define the data your agents can use, which system is the reference for each item and the exchanges between your systems, then we deliver the agreed integrations.
See architecture and integrationPSA implementation
Klient, Rocketlane or Certinia, configured around how you deliver. Your PSA becomes the system of record your agents build on.
See PSA implementationOne journey, three engagements
Strategy
Choose the use cases that matter, the data to connect and the ground rules.
Design and implementation
Define each agent’s role, access, actions and what a person approves, then build, connect, test on real-world scenarios and deploy.
Calibration and expansion
Measure the agent under human approval, give it more autonomy on a person’s decision, then extend its use to other processes.
The right tool for each task
When the path is known, we build a deterministic process: it always follows the same steps, by design. We keep agents for tasks that call for judgment: an agent has to earn its place.
See how we build an agent