AI Agents Built for Production

Most organisations have tried an AI pilot. Few have seen it reach production. We scope, build, and deploy agents designed to run in production from day one.

What we do

We handle the full journey — from identifying where automation creates real leverage, through build and integration, to deployment and ongoing support.

01

Strategy & Use Case Design

We audit your workflows and find where an agent creates genuine leverage. You leave with a clear picture of what to build first and why.

02

Build & Deployment

Production-grade agents built against your actual systems, your data, your infrastructure, your tools. The output is a working system, not a proof of concept.

03

Operate & Improve

Models update. Business requirements shift. We stay on hand to keep your agents performing — monitoring, tuning, and extending as you grow.

How we work

A clear process from first conversation to running system — and beyond.

1

Scope

We map your workflows, identify where an agent creates real leverage, and agree on exactly what to build and why.

2

Build

We develop against your actual systems and data. Every architecture decision is made with one question first: will this hold up in production?

3

Deploy

We ship to your infrastructure. You own everything — your cloud, your data, no vendor lock-in, no dependency on us to keep the lights on.

4

Support

We stay on hand as models update and requirements shift, monitoring and tuning so your agents keep performing over time.

Why Taogi

We focus on the gap between AI strategy and production — engineering and operational problems that strategy decks don't solve.

Measured by what runs, not what demos

We're not done when we hand over a proof of concept. We're done when your agent is live, handling real load, and delivering the outcome we scoped together.

Senior attention, start to finish

The person scoping your project is the person building it. No handoffs to a team you never met.

Production is the only target

Every architecture and tooling decision is made with one question first: will this hold up in production?

Clear scope

We'll tell you when a problem doesn't need an agent. Simple automation is sometimes the right answer. We'll say so.

Ready to move from pilot to production?

Tell us about your workflow. We'll scope what to build and give you a clear picture of what's involved.

Get in touch
Taogi

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