AI needs watching
Agents drift. Nobody reads the output at 2am.
Two ways to work with Hayat · 02
A forward deployed engineer is someone technical who moves into your company and builds the AI inside it, instead of advising from outside. This one arrives with twenty years of operations and three exits behind him, and connects your processes to the depth of AI intelligence available.
Agents drift. Nobody reads the output at 2am.
Confident, fluent, wrong. That is a real number gone bad.
Brilliant with models. Never closed a month end.
That is the job. Connected to your systems, watching every output, answering for the results.
In your meetings, your inbox, your systems. The work gets mapped where it actually happens.
Agents wired into the tools you already run. Nothing ripped out, nothing rebuilt for show.
The first system runs real work, watched by a named owner: me.
Code, agents, accounts, documentation. No lock in by design.
If the work stops, nothing switches off and nothing has to be handed back.

Who is actually in the building
Twenty years running finance and operations before any of this was called AI. The person in your systems, your meetings and your standups is the same person who answers for what the agents do.
Someone technical who moves into your company and builds the AI inside it, instead of advising from outside and leaving you a roadmap.
The first system is live inside eight weeks. Week one is spent in your meetings and your systems, and you see working software in the first month rather than a deck.
No. It takes the repetitive work off them. Same people, higher value work.
You do. Code, agents, accounts, documentation. No lock in by design.
Everything runs inside your own accounts and your own stack, and every agent's output is checked before it touches a real number.
An agency hands over a roadmap. A platform hands over a tool. Neither answers for the number it was supposed to move. This is one named person who does.

“Very diligent, very reliable, methodical, implementing efficient processes.”