Agentic Engineering
Deploy AI agents in production and transform your engineering practices. From MCP architecture to multi-agent systems: we build alongside your teams.
- Deploy reliable AI agents in production with sound architecture practices
- Implement the MCP protocol and orchestrate multi-agent systems
- Set up observability and monitoring for your agents
- Secure and govern your AI agents at scale
Key factors for a successful AI transformation
Deploy AI agents in production and transform your engineering practices. From MCP architecture to multi-agent systems: we build alongside your teams.
Agent architecture & new practices
Design reliable agents and evolve your teams' ways of working: code review, workflows, augmented delivery.
MCP & multi-agent orchestration
Standardize agent-to-agent exchanges via MCP. Orchestrate reliable, maintainable multi-agent systems.
Production & observability
Deploy agents in production with monitoring, tracing and guardrails. The same standards as your business-critical code.
Agent security & governance
Governance and security built in from the design phase. Agent identity, access control, decision traceability.
The steps of our support
Each track adapts to your maturity level. Start with an audit, build your first agents, then scale up with our experts.
Audit & system design
Pragmatic architecture workshops grounded in your real use cases. We map your agent opportunities and design the target architecture.
What we do
- Map the use cases where an agent outperforms a classic pipeline
- Assess the technical maturity of your organization and your stack
- Design the target agent architecture (patterns, MCP, orchestration)
- Identify quick wins and risks before writing a single line of code
Deliverables
- Mapping of agent use cases
- Documented target architecture
- Engineering maturity audit
- Prioritized roadmap with quick wins
Ready to accelerate your transformation?
Our experts build the support that matches your challenges with you.