Automate complex internal workflows with controlled AI agents.

Hexoia designs and ships AI systems that read messy inputs, use approved tools, and execute multi-step work inside clear operational boundaries.

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

Traditional automation breaks when the workflow stops being predictable.

Most operational bottlenecks are not caused by a lack of software. They come from work that sits between systems, requires interpretation, depends on incomplete rules, or needs someone to decide what happens next.

01Teams still act as the bridge between internal tools
02Workflows depend on manual judgment and repeated context gathering
03No-code automation handles the obvious steps but fails on ambiguity
04Valuable data exists, but execution still depends on people doing repetitive coordination

Controlled AI execution for the workflows rules cannot handle.

Hexoia builds agentic systems for workflows that require reasoning, tool use, and structured execution. The goal is not to add AI theater to existing operations. The goal is to give capable AI agents enough autonomy to complete useful work while keeping them inside explicit boundaries.

These systems are designed around sandboxed environments, approved tools, internal APIs, review paths, and clear operational control. That makes it possible to automate classes of work that were previously too ambiguous for traditional automation and too risky for uncontrolled AI access.

01Identify a high-friction workflow with clear business value.
02Define what the agent can read, write, call, and change.
03Connect the required tools, APIs, and internal business logic.
04Pilot the workflow, improve reliability, and prepare for rollout.

Examples of workflows that fit this model.

Hexoia is a strong fit when the work depends on internal systems, messy inputs, and repeated human coordination.

01Reviewing inbound requests and routing them across internal systems
02Processing documents and converting them into structured records or actions
03Monitoring changes across systems and preparing downstream updates
04Drafting operational changes for human review before execution
05Coordinating research, content, or back-office tasks that depend on private internal context

Technical credibility matters when AI is connected to real business systems.

Hexoia is led by Allan Tatter, a full-stack software architect with 17+ years in tech, 100+ projects delivered, and two startup exits. The company’s edge is not generic consulting. It is the ability to combine systems architecture, internal integrations, sandbox design, and modern AI tooling into something operationally safe and commercially useful.

The strongest trust signals come from deep technical delivery experience, daily hands-on work with AI systems, and established credibility with complex organizations including Äripäev and Postimees Grupp.

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

Trusted by technical leaders across industries.

Allan's technical leadership has had an instrumental impact to our products. His deep understanding of complex systems and ability to deliver elegant solutions has significantly impacted our platform's development.

Kevin ValdekKevin Valdek/CTO, High Mobility

It has been a pleasure working with Allan. His strategic thinking and technical expertise have helped us navigate complex challenges. He is first on my call list when I need help with AI-related projects.

Toomas JõgiToomas Jõgi/CTO, Äripäev

Some people get it, how to iterate fast at startup speed. Allan is one of them.

Kaarel HolmKaarel Holm/CEO, MeetFrank

When you put Allan and his skills into an Excel sheet, doing business with him simply makes sense. More importantly, our core values align, and that's what I appreciate most.

Kaur EsnarKaur Esnar/CEO, Ringit

When working with Allan, it is great to see that he focused on solving the business objectives rather than just following the spec.

Tanel VoorelTanel Voorel/Product Manager, Postimees

Start with one high-value workflow.

The first step is a workflow audit. This is a structured discovery engagement designed to identify one strong automation candidate, map the relevant systems and safety boundaries, and define what a viable pilot should look like.

This keeps the first engagement concrete and low-risk. It is not an open-ended consulting conversation.

Apply for a Workflow Audit

Frequently asked questions.

Is this a fit if we already use Zapier, Make, or internal scripts?

Yes, often that is exactly the point. Hexoia is a fit when standard automation already exists but still cannot handle the messy, judgment-heavy parts of the workflow.

Do you only work with media companies?

No. The offer is relevant anywhere teams have internal systems, private data, and workflows that still rely on people to bridge the gaps between tools.

Can AI agents take actions directly in our systems?

Yes, when appropriate. The system can be designed for direct execution, draft-only outputs, or human approval before sensitive actions, depending on operational risk.

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.