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Agentic AI engineering · Europe
AI agents that work alongside your team.
We build AI agents to support your people, not replace them. They research, prepare and carry out the tasks you delegate, within your tools. Your team keeps the direction, the judgment and the human relationships.
A new way to work together- TeamYour request
You set the goal.
- Agent 01Coordination agent
Plans and delegates the task.
- Agent 02Research agent
Gathers relevant sources.
- Agent 03Synthesis agent
Drafts a response with sources.
- TeamYour approval
You refine and decide.
Agentic AI
Your expertise, with more room to act.
Gather information, draft a response, update a record: agents take on concrete steps in your workflow. Your team sets the goal, brings its expertise and approves sensitive actions. That leaves more time to analyse, decide and support others.
ExploreForward Deployed Engineering
Built with the people who will use it.
An AI engineer works within your team, close to the people doing the work. Together, we identify tasks to delegate, build in your environment and refine the agent through user feedback. Your colleagues help shape it and learn to run it.
- Your tools and data
- Your ways of working
- Feedback from your team
- Knowledge sharing and ownership
Harness Engineering
Agents take action. You stay in control.
You define access, permitted actions and approval points. The harness, the agent’s control environment, puts those rules into practice and makes its activity visible. Your team can review, correct and take over.
Tools, APIs & MCP
Give the agent clear interfaces that are difficult to misuse when acting on business systems.
Execution & orchestration
Manage steps, stops, timeouts, recovery and any delegation between agents.
Memory & state
Keep useful decisions, resume interrupted work and prevent repetition.
Permissions & security
Limit every capability, isolate actions and require human approval when risk demands it.
Evaluation & verification
Measure quality on real cases, detect regressions and verify outputs before use.
Engineering built around your people.
Product
Start with your colleagues’ needs and build a tool that earns its place in their daily work.
Growth
Measure what the agent brings to the team: time saved, work quality and adoption.
Legal
Design data use, intellectual property, permissions and traceability from day one.
Dimitri Hertz’s experience
Agents that support real work.
Internal support
Socomec Group
Designed an agent chain and advanced RAG system in an Azure environment.
HR product
Jurni
Owned the AI backend, from architecture to agentic workflows.
Data analytics
Synthetix AI
Designed modular agents and tool-using reasoning workflows.
From your first need to everyday use.
Discovery & audit
Identify tasks to delegate, expected benefits and boundaries together with your team.
Embedded engineering
Build, test and integrate the agent with your business, product and engineering teams.
Production hardening
Develop an existing prototype or agent into a system your team can use every day.
Dimitri Hertz
An AI engineer with product, growth and legal roots.
Dimitri Hertz designs digital products and production AI systems. Before engineering: growth, product, business law, intellectual property and GDPR. That background helps make decisions beyond the model — across use, adoption and risk.