01 / Simplify
Make sense of incoming requests
Read a request, extract useful information, identify what is missing and prepare to route it to the right person.
AI AGENTS · DEVELOPMENT & MAINTENANCE
Custom AI agent development and maintenance.
Agents connected to your tools, built around the work you want to delegate.
Review a case, prepare a proposal, compare options or coordinate several systems: let’s start with the work you would like to delegate.
Your context
DataToolsBusiness rules
Your AI agent
UnderstandPrepareAct
A useful result you can check.
We define the level of autonomy with you.
AI agents connected to your business tools.
An AI agent can search documents, compare possibilities, prepare a case or use several tools to move work forward. A RAG assistant addresses a knowledge-retrieval need; other projects involve developing options or carrying out authorized actions. We start with the result you need to define the scope and level of autonomy.
AI agent maintenance also means reviewing integrations and behavior when models, data or tools change. Reference cases, errors, costs and responsibilities are agreed with you.
THE POSSIBILITIES
One focused task.
Or a new way to work.
An agent can assist someone, prepare an action or carry out part of a process within an agreed scope. Here are some possibilities to explore together, adapted to your data and tools.
02 / Prepare
Build a proposal
Bring together the details of a customer case and prepare options, supporting arguments or a quote based on your rules.
03 / Explore
Imagine different solutions
Turn a brief and a catalog into configuration proposals, then compare their constraints and trade-offs.
04 / Coordinate
Move a case forward
Consult several systems, prepare an action plan and carry out authorized steps, with appropriate approval points.
05 / Retrieve
Put your knowledge to work
Find a procedure or information in your documents, citing sources and respecting the agreed access permissions.
06 / Observe
Spot what needs attention
Bring information together, examine an order anomaly or discrepancy, then suggest the checks to carry out.
These examples describe possible uses. Feasibility is checked in your own context; they are not client case studies.
FROM THE FIRST IDEA TO ONGOING SUPPORT
Build it.
Keep it working.
Custom development
Build a useful first version, then integrate it into your business.
- Scope the work
- Define the need, users, expected result and success criteria.
- Prototype representative cases
- Try the important behaviors using suitable data and make limitations visible.
- Connect and integrate
- Connect the necessary tools, define permitted actions and prepare the handover.
AI agent maintenance and improvement
Monitor how the agent works and adapt it as your business or its tools change.
- Monitor quality
- Review errors, results, usage and costs according to the agreed monitoring scope.
- Check changes
- Rerun reference cases when models, knowledge or connections evolve.
- Develop the scope
- Correct behavior, adjust a rule or define new capabilities.
The maintenance scope, monitoring, support arrangements and usage costs are set out in the proposal. New features are scoped as further development.
OUR APPROACH
A project grounded
in real work.
Understand
We describe the actual work, existing tools and what would make the result useful.
Test the idea
A prototype helps test important cases and decide what is worth developing.
Integrate
We prepare connections, access, approvals and the handover to your team.
Follow through
We define checks, responsibilities and changes to plan for after launch.
Your practical questions.
What can you delegate to an AI agent?
Work whose inputs, tools and expected result can be described: research, preparation, comparison or actions within a process. Together, we define what can be delegated and what needs your decision.
Does it have to be a complex project?
A focused need can make a good first project. A more ambitious process can also be explored with a prototype and suitable validation stages.
How do we know the agent is doing a good job?
We prepare reference cases, expected results and evaluation criteria. Incomplete, ambiguous and failing situations are included in the tests.
Who looks after the agent after launch?
Maintenance can be planned from the start: monitoring errors and costs, checking changes and adjusting behavior. We agree on the scope and responsibilities with you.
Can you take over an existing agent?
We can explore taking over an agent after reviewing how it works, access, documentation and the tools it uses. This assessment helps define what can be maintained or needs to evolve.
What budget and timeline should we expect?
They depend on scope, connections, data and the level of validation needed. Our first conversation helps clarify these points before we propose development and ongoing support.
WHAT ABOUT YOUR BUSINESS?
What work would you
like to delegate?
Describe the situation, the tools you use and the result you need. We can then outline an initial approach, focused or ambitious.
Discuss your project ↗