Three AI-supported workspaces: an operations request with a drafted reply waiting for approval, a finance workbook check with one difference flagged, and a supplier agreement with two clauses flagged against the playbook. In each, a person reviews before anything moves on.
OperationsWaiting for approval
Request handlingDelivery question
In progress
1Request
2Check
3Draft
4Approve
Finance & auditCheck needed
Monthly reportFinance workbook
August 2026
AccountDifferenceLedgerSource
Cash042,80042,800
Expenses+31067,25066,940
Revenue0118,400118,400
Accruals014,60014,600
Total checked+310243,050242,740

Three ways to work together

Choose what you need most.

TrainingA team that builds its own agents.

Best for teams that want AI in their daily work, no coding background needed.

  • Skills your team keeps
  • A first agent built on your own task
  • Confidence to build the next one

Hands-on and built around a task your team already owns. From a focused workshop to sustained building, onsite, online or hybrid.

Joining as an individual? View TUMO Labs programs (opens in a new tab)

ConsultingA clear next step you can defend.

Best for leaders who see an opportunity but aren't sure where AI fits.

  • Where AI helps and is needed
  • Clarity before you invest
  • Risks and human checkpoints set

Examine the current workflow and test the riskiest assumption. Then decide: build, change the process, investigate further or stop.

ImplementationA workflow running in your systems.

Best for teams that know the workflow and need it working.

  • Time back for judgment calls
  • People decide the exceptions
  • A system your team can run

Connect approved information, automate the repeated steps, add human review and prepare your team to run it.

Illustrative AI workflows

The agent runs. Your people decide.

The same evidence, chased every close.

Built on your chart of accounts and materiality thresholds.

Example: cash, revenue and accruals tie to their evidence. Expenses are 310 above the receipts, so the difference waits for a reviewer, who resolves it before the August close pack is approved.

The approach

Tools change. The method stays.

Work Your Agent compared with a typical engagement
Work Your AgentDesigned around your workflow.A typical engagementDesigned around a chosen tool.
Who you work withYour designated AI expert, from discovery to deliveryOften split across advisory and delivery roles
First stepClear path definition before anything is builtSetting up the chosen platform
How much AI
As much as the work needs
  • Assistant
  • Automation
  • Agent
As much as the platform supports
Your teamLearns hands-on from an expert AI educatorReceives the configured result
What lastsAI know-how transferable to new tools and modelsKnow-how tied to one product

Start with the work, not the tool. Leave your team able to run it. Learn the method and then adapt it to today's tools and the ones that will come next.

Tigran Hakobyan
Founder-led practiceTigran Hakobyan

The person behind the work

Work with your designated AI expert.

  • 6+years in AI products
  • 25+products and capabilities
  • 4applied-AI programs designed and delivered
  • Designated AI expertUltralytics · Prequel · PicsartTurning complex AI into products people use
  • Clear path definitionKPMG ArmeniaStructured analysis of how the work really runs
  • Expert AI educatorTUMO Labs · Russian-Armenian UniversityTeaching professionals to build around real work

Start a conversation

Bring the work you want to improve.

Based in
Yerevan, Armenia · working globally
Languages
  • English
  • Հայերեն (Armenian)
  • Русский (Russian)

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