We turn every person into a team.

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

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.

ALREADY PROVEN

In software engineering today, one person orchestrates agents, reviews the work and owns 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 and reconcile against ledgers
  • Draft management commentary
  • Prepare board-ready reports
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
  • Sort incoming contracts against the playbook
  • Mark up standard changes
  • Flag risks and exceptions for human review
Person handles
  • Run negotiations
  • Make judgment calls
  • Own regulatory exposure

Procurement / Tenders

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

Agents handle
  • Read incoming documents
  • Pull pricing and past-win references
  • Assemble the first draft
Person handles
  • Set the win themes
  • Sign off on the final response
  • Own the client relationship

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.

The workshop is the usual first step. A workflow audit is only the bridge when the candidate is promising but still too uncertain to scope responsibly.

Stage 01

Workshop

What you get
  • Private session with your team
  • Ranked shortlist of workflows worth automating
  • Verdict: pilot, audit, or not yet
Stage 02

Audit bridge

What you get
  • Focused written analysis of one candidate workflow
  • Used only when access, volume, risk, or authority is still unclear
  • Ends in a scoped pilot proposal or a recommendation not to build
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
Trusted by

Built by an architect, not a consultant.

Hexoia is led by Allan Tatter — full-stack architect, 18+ years and 100+ projects shipped, hands-on with AI in production every day. The operator-and-fleet pattern we install in your company is the same one he runs himself: brief the work, review the output, own what ships. No strategy decks, no transformation programme — one workflow at a time, shipped into your environment and owned by your team.

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 experiments are cheap. Tomorrow’s are not.

Three reasons today is cheap. None of them last.

Cheap to run

AI is sold below cost today. That ends. Build while someone else pays for the compute.

Cheap to be wrong

Today’s workflows are small. A mistake is a re-run. Once agents move into bigger work, mistakes get expensive.

Learning compounds

The tech will be everyone’s. The know-how of running it won’t. It’s built one workflow at a time, in your company.

Start with a workshop.

A private session where we surface the strongest workflow worth automating, score it live against a feasibility scorecard, 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 lead 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 scorecard.

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

Most pilots run two to four weeks from kickoff to go-live, depending on the workflow’s complexity and how many systems it touches. The standard one-workflow pilot is €15,000 fixed when the workflow fits the pilot shape, with scope and success criteria agreed in writing before build.

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. Build the agent.

We identify the one workflow worth piloting first, backed by value math, feasibility scoring, and a 1-page written diagnostic within 48 hours.