One senior engineer. One workflow. A working agent in weeks.
A senior Forward-Deployed Engineer takes one workflow, such as underwriting support, lease abstraction, or month-end close, and builds a working agent on your data, in your environment. The same engineer scopes it, builds it, and hands it over. No internal handoffs. No requirements thrown over a wall.
Ship it. Own it. Build on what you have.
Taazaa builds production AI on the systems you already run, using a fixed engineering method (the Implementation Mesh) that makes "done" objective, so the agent you get is one you own, can audit, and can extend.
- A working agent on one workflow, built on your data and in your tenant
- A clear, reviewable map of what the agent does and where a person takes over
- A go-live bar agreed before the build starts
- The artifact and the documented method, so your team can run it and extend it
Three steps, with the finish line written down first.
Agree what done looks like
The engineer diagnoses the real workflow and writes down the finish line before building anything.
Build on your data, in your environment
The prototype is built where it will run. What you see is what you keep.
You own it
You get the working agent plus the documented method. Run it, extend it, no lock-in.
Five pillars, applied every time.
The result does not depend on which engineers showed up. The highlighted pillars lead the FDE Sprint.
Deterministic workflow design
You decide where a person steps in. The agent follows the map.
Agent-ready API fabric
It works with the systems you already have, so the AI can act, not just answer.
Trusted data surface
It only sees what it should, and nothing it should not.
LLM readiness
It goes live when it passes an objective quality bar, not when the calendar says so.
Immutable governance
Your auditor can replay every decision.
Model-agnostic, in your tenant, on your stack. No data leaves.
Numbers from production.
50% less manual auditing and 30% faster.
32% more revenue per driver hour in one day.
Eight AI systems in production · SOC 2 Type II · ISO/IEC 27001:2022 · HIPAA · OpenAI Select Partner
What leaders ask before they start.
"Why not the hyperscaler's FDE team?"
Same motion, mid-market price, and you keep the engineer's method, not just the code.
"How do we know it is done?"
An objective readiness bar, agreed before we build, measured the same way on every engagement.