Controlled AI Execution.

Hexoia builds agentic systems for workflows that require reasoning, tool use, and structured execution. The goal is to give capable AI agents enough autonomy to complete useful work while keeping them inside explicit boundaries.

From discovery to controlled deployment.

01
Identify

Find a high-friction workflow with clear business value. Focus on processes where manual coordination is the bottleneck, not missing software.

02
Define

Specify what the agent can read, write, call, and change. Establish explicit permissions, review paths, and operational boundaries.

03
Connect

Integrate the required tools, APIs, and internal business logic. Build sandboxed execution environments with approved tool access.

04
Deploy

Pilot the workflow, improve reliability, and prepare for rollout. Monitor outputs, tune agent behavior, and scale when confidence is established.

What controlled agents can do.

These systems are designed around sandboxed environments, approved tools, internal APIs, review paths, and clear operational control.

01Review inbound requests and route them across internal systems
02Process documents and convert them into structured records or actions
03Monitor changes across systems and prepare downstream updates
04Draft operational changes for human review before execution
05Coordinate research, content, or back-office tasks that depend on private internal context

Built by an architect, not a consultant.

Hexoia is led by Allan Tatter — 17+ years in tech, 100+ projects delivered, two startup exits. The edge is systems architecture combined with hands-on AI execution, not generic consulting.

17+Years in tech
100+Projects delivered
2Startup exits

Find the workflow that should be your first controlled AI pilot.

Start with one high-value process where manual coordination is slowing the business down.