Hamlet PoghosyanStart a project

AI agents and automation

Assistants that answer from your data and automations that take work off your team.

Useful AI is narrow and grounded in your own information. I build agents that answer customers from your documentation, draft replies for your team to approve, and move data between the tools you already use, with guardrails and logs so you can see what they did.

What's included

  • Use-case discovery: where AI pays off and where it doesn't
  • Support and sales agents grounded in your content
  • Retrieval (RAG) over documents, tickets and databases
  • Tool use: agents that create tickets, update CRMs, send emails
  • Human approval steps and conversation logs
  • Cost, latency and quality monitoring

How a project runs

Four stages, clear checkpoints, no surprises on the invoice.

  1. Discovery

    A call to understand the business, the users and what success looks like. You get a written scope, a timeline and a fixed quote or an hourly estimate.

  2. Plan and design

    Architecture, data model and screens agreed before any heavy coding starts, so changes are cheap while they still can be.

  3. Build

    Short cycles with a live preview link you can click through every week. You see progress, not status reports.

  4. Launch and support

    Deployment, monitoring and a handover with documentation. Then a support window, or ongoing maintenance if you need it.