What we find
First we find where the time and money go.
Most owners can feel where the company is slow. Very few have measured it. There are three ways in, each at a fixed price.
- Agent CheckWe test an AI assistant you already run. $750, after a free Spot Check.
- Content ProofOne month of content for your brand, made with AI. $1,900, after a free Marketing Cost Check.
- Workflow BlueprintOur team spends two weeks inside one area of your business. $2,500, refunded if it can't show $25,000 a year in savings, and credited to a build you sign within 30 days.
For each problem we say whether AI should take the work over, help a person do it faster, or give you something you couldn't do before. Sometimes the answer is that AI isn't worth it, and we say that too.
See the three ways in, with pricesWe look in five places
- 01Slow decisionsHow long it takes from something happening in the business to someone senior acting on it.
- 02Numbers nobody trustsReports that get rebuilt by hand every week because people doubt the figures.
- 03Blind spotsWhat leadership can only find out by asking someone and waiting.
- 04Work a system should doCopying between systems, chasing updates and compiling the same report again.
- 05Mistakes that repeatLessons that live in one person's head and leave when they do.
How we work
One step at a time, each one proven.
You only move to the next stage once the last one has shown its value. If a check shows AI isn't worth it for you, you keep the findings and we stop there.
Step one
Start free
A 30-minute call with our team, or a free check: the Agent Spot Check for an AI assistant you already run, or the Marketing Cost Check for your content.
Step two
Take one paid step
Agent Check for $750, Content Proof for $1,900 or Workflow Blueprint for $2,500. Each fee counts toward the next step if you book it within 30 days.
Step three
Build and hand over
We build on your systems with your team involved and test it before anyone relies on it. Nothing goes live until you approve it, and your people learn to run it, check it and change it.
Step four
Keep it checked
Every build has a care plan for its first 3 months, from $490 a month, with a monthly score and updates to its facts and prices. More agents come only after you accept each one.
See Kai work
Ask the question your team asked this morning.
Kai is Aion's own AI agent. This demo shows how an agent like him works inside a company, using Halvern Trade Co., a made-up importer. An agent built for you would answer from your own records and follow your access rules.
Or choose one of these
How Kai answers
Between a question and a decision.
Here's how a question moves through the system. Turn the model around, or follow one question from start to finish.
- 01Sources. The records you already keep: inbox, CRM, drive, spreadsheets, accounting, WhatsApp, meeting notes.
- 02Kai. Answers the questions you agreed with us, from those records, with the source attached.
- 03Guardrails. Each person sees only what their role allows. If the records don't hold the answer, Kai says so.
- 04Your team. Anything that needs judgment goes to a named person.
- 05Decision. A person makes the call, with the evidence in front of them.

Meet Kai
Our own AI agent. Ask him about Aion.
Kai answers questions about Aion on WhatsApp. The moving parts on this page show how an agent like him works inside a company: records connecting at the top, an answer forming in the demo, and a question moving through the system.
An agent we build for you works in a place your team already uses, such as WhatsApp, Telegram or a web page. It starts with a small set of agreed questions. Actions are switched on one at a time, and only after you approve each one.
Message Kai on WhatsAppAn agent handles
- Answering the questions you agreed, with the source attached.
- Routine actions you have approved, such as logging a repair request or sending a status update.
- Drafting replies and reports for a person to check.
A person approves
- Anything that spends money or changes a contract.
- A promise to a customer or a change to their account.
- Any action the agent has not been approved for yet.
Kai is an AI agent, not a person. We run our own company on AI agents, and we have already paid for the lessons on how to set them up safely.
Case studies
Work that is already running.
We publish a result only when we can show where it came from. Client names stay private unless the client agrees otherwise.
Fuel retail
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stations covered.
Managers ask the main questions about their stations in plain language and get an answer in seconds, without opening a BI tool.
Read the caseLogistics, Italy
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routine conversations handled without a person stepping in.
Shipping questions are answered in the channel the customer used, and only judgment calls go to the team.
Read the caseRetail, Central Asia
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conversations in Russian, Uzbek and English.
A retailer serving customers across borders answers them in their own language.
Read the caseAion itself
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processes in our own company run this way.
We don't recommend a way of working we haven't had to live with.
Read the caseNotes
Notes from our team.
Short pieces from the Aion team on what we see inside companies, and what we have learned running our own on AI.
All notes- CEO noteAI isn't faulty. The setup usually is.Why most AI disappointments come from how the system was set up, and why we put guardrails in place before giving it any freedom.
- ArticleThe cost of a slow decision.How to measure the time between something happening in your business and someone senior acting on it.
- ArticleHow Companies Are Actually Using AI Agents in 2026: Beyond the DemosFive AI agent patterns that hold up in production, and why most experiments stall before they get there.
- ArticleWhere AI Is Actually Headed: Cutting Through the Noise in 2026Five directions AI is moving in 2026, judged by what is shipping in production rather than what pitch decks promise.
- Article5 AI Systems Every Growing Business Should Deploy FirstFive AI systems a growing business can deploy first, in order: reporting, email triage, customer replies, document processing and meeting follow-up.
- ArticleHow AI Systems Maintain Context: Memory Patterns for Business AutomationHow AI systems keep context across conversations and workflows, and the memory patterns that hold up in production business automation.
- ArticleAI Consultancy vs AI Agency: Which Does Your Business Need?A consultancy tells you what to do and an agency builds what you ask for. How to tell which your business needs, and when you need one partner for both.
- ArticleOperational Readiness: A 10-Point Checklist Before You AutomateA 10-point checklist to judge whether your business is ready to automate: data, documented processes, team capacity, success metrics and sponsorship.
- ArticleTraining Your Team to Work Alongside AI Systems: A Practical FrameworkHow to prepare a team to work alongside a new AI system, from knowing what it can do to handling the fear of change in the first weeks.
- ArticleUsing AI Coding Assistants in Production TeamsWhere AI coding assistants help a production team, where they fail, and the working rules that keep AI-written code safe to ship.
- ArticleSetting Up AI Tools for Office Productivity: A Practical Implementation GuideHow to choose AI productivity tools for an office, roll them out to the team one at a time and measure whether they actually save time.
- ArticleAI Operations in the Georgian Market: Opportunities for Forward-Thinking BusinessesWhy Georgian businesses are well placed to adopt AI operations: market conditions, infrastructure, high-opportunity sectors and local requirements.
- ArticleCommunication-Layer AI: How Intelligent Routing Changes OperationsHow communication-layer AI sorts and routes incoming business messages across channels, and how to keep people in charge of the judgment calls.
- ArticleMulti-Agent Systems in Business Operations: Architecture Patterns That WorkHow multi-agent AI systems handle workflows that span departments: three architecture patterns and what it takes to run them in production.
- ArticleOperational AI vs Experimental AI: Why Most Companies Invest in the Wrong OneOperational AI fixes a specific, measurable business problem; experimental AI explores. How to tell them apart and why to start with operational AI.
- ArticleWhat Is AI Operations? A Guide for Business LeadersAI Operations means building AI into the daily work of a business. How it differs from AIOps, what it covers and what a company needs in place first.
Who you work with
The people behind every build.
A small team based in Tbilisi, with a partner in the UAE. You speak directly to the people who design the work and sign it off.
- Tyrone HammondFounder · Tbilisi
- Ty BergerGrowth Partner · UAE

Tyrone Hammond
Founder · Tbilisi
Designs every engagement and signs off every build.

Ty Berger
Growth Partner · UAE
Your first conversation in the Emirates. Stays with you from the first call through delivery.
Use the arrows, or drag the card, to meet the next person
Contact us
Start with a conversation. We'll tell you if it's worth it.
If AI isn't the right answer for your company, we'll tell you on the call. Not sure yet? Take the two-minute fit check.
What happens next
- 01A 30-minute call with one of us about where your company is losing time.
- 02Our team suggests the right way in: a free Spot Check or Marketing Cost Check where it fits, or Agent Check, Content Proof or Workflow Blueprint.
- 03Each paid step counts toward the next one if you book it within 30 days, and nothing starts until you approve it.
Other ways to reach us