Every person becomes a team.

Software engineers already work this way. One person at a laptop, briefing a fleet of AI agents, each handling a different task in parallel. The human reviews, decides, and ships. The role on the org chart looks the same. The throughput does not. We build that pattern inside your company, one workflow at a time.

An editorial line drawing of a person at a meeting table briefing three identical robot agents seated across from them.
ALREADY PROVEN

In software engineering today, one person orchestrates agents, reviews the work and own the delivery.

HUMAN SUPERVISION

Accountability stays human. Agents do the volume, however the person owns the outcome.

THROUGHPUT, NOT HEADCOUNT

Volume scales without growing the team. Exponential growth comes from utilizing agents.

What this looks like, role by role.

CFO / Finance

The monthly close gets faster and the team needed to run it gets smaller.

Agents handle
  • Pull statements
  • Reconcile against ledgers
  • Draft management commentary
  • Prepare board-ready outputs
Person handles
  • Review exceptions
  • Sign off on judgment calls
  • Own the audit conversation

Legal / Compliance

The contract backlog and the compliance review stop being the function's defining problem.

Agents handle
  • Triage NDAs, vendor agreements, and MSAs against the playbook
  • Redline routine variations
  • Run policy and regulatory checks across incoming work
  • Surface the clauses, risks, and exceptions that need a human
Person handles
  • Run the negotiations
  • Make the judgment calls
  • Own the regulatory exposure

Procurement / Tender Response

Bid responses ship faster and more bids get a serious response, so the win rate goes up.

Agents handle
  • Document parsing
  • Cross-reference against past wins
  • Boilerplate assembly
  • Compliance check
  • Pricing pull
Person handles
  • Run the response

Agentic automation. One workflow at a time.

Each pilot ships a working agent into your environment, runs on real cases, and is yours to keep. No platform to subscribe to. No retainer that holds your attention.

Scope
One workflow per pilot. Boundary named before money changes hands.
Price
Fixed before delivery starts. We do not bill hours.
Success
Written criteria — volume, accuracy, turnaround — agreed with you in plain language.
Guarantee
Money back if those criteria are not met at go-live.
Ownership
What we build runs in your environment. You own it and can extend it.

Three stages. Each one stands alone.

Every stage has a discrete deliverable, a fixed price, and an honest exit. None is conditional on the next being purchased.

Stage 01

Workshop

What you get
  • Private session with the decision-makers and the team
  • Ranked shortlist of workflows worth automating
  • Scored against a feasibility rubric
  • Verdict: pilot, audit, or not yet
If the room is not a fit

We say so out loud, with reasoning. You leave with a clear non-fit verdict — not an open-ended consulting conversation.

Stage 02

Audit

What you get
  • Focused written analysis of one candidate workflow
  • Systems readiness, volume, judgement surface
  • Ends in a scoped pilot proposal ready to sign
If it isn't pilot-ready

You get a written recommendation that this workflow is not the right place to start, and where to look instead.

Stage 03

Pilot

What you get
  • Working agent built and shipped into your environment
  • Runs on real cases, owned by your team
  • Operations support for a defined window after go-live
If success criteria aren't met

Money back. The criteria are agreed in writing before delivery starts; vague criteria are rejected.

Trusted by

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

Hexoia is led by Allan Tatter, a full-stack software architect with 18+ years in tech and 100+ projects delivered. 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.

18+Years in tech
100+Projects delivered

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

Today’s mistakes are cheap. Tomorrow’s are not.

The decision is not whether your organization will operate this way. It is when you start the clock on your own learning.

Start with a workshop.

A short single-company session where we surface the strongest workflow worth automating, score it live against a feasibility rubric, and decide together whether it is worth a pilot.

Book the Workshop

Frequently asked questions.

Who is this for inside a company?

The workflow lives in finance, sales, customer support, legal, procurement, or operations. The buyer is usually the function leader who owns that workflow today, often joined by a commercial operator and at most one engineering lead.

What if we don’t have a candidate workflow yet?

That is exactly what the workshop is for. Most prospects arrive with generic AI interest rather than a specific workflow. The session surfaces the candidates that already exist in your operation and ranks them on a feasibility rubric.

How long does a pilot take, and what does it cost?

Most pilots run four to six weeks from kickoff to go-live, depending on the workflow’s complexity and how many systems it touches. Pricing is fixed at the end of the audit, once the scope and success criteria are agreed in writing. Before that, any number would be a guess.

How do you handle our private data and internal systems?

Each pilot is designed around explicit permissions, approved tools, bounded execution environments, and review paths. The goal is controlled access to one specific workflow, not broad access to internal systems.

Who maintains the agent after go-live?

Your team. The agent runs in your environment, against your systems — you own and operate it from day one. We include operations support for a defined window after go-live to handle anything that surfaces in the first weeks of real use; after that the system is yours to extend or hand over.

How is this different from an AI consultancy or platform?

We do not sell strategy decks, transformation roadmaps, or capability assessments — and we are not a platform you subscribe to. Each engagement ends with a working system running in your environment, or an honest exit. The deliverable is the work, not a document about the work.

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.