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AI Product Engineering

AI engineering services for SMEs, proven on our own products first.

We build AI agents, LLM features and AI integrations for small and mid-sized businesses. The same methods run Odient, RedmineFlux and the 50 agents we use inside Zehntech every day.

A 30-minute call with an engineer who builds AI systems.

In numbers

The AI we already run

0
AI agents we have built and run
0
MCP servers connecting AI to real systems
0
MCP tools across Odient and RedmineFlux
0
Of our products written by AI agents
Free AI readiness check

Is your business ready for AI?

Five quick questions. You get a readiness score and the first project we would suggest.

Case studies

AI we have built for clients

Healthcare, civic services, design and fitness, across the US and beyond.

How we build

From idea to a system you can trust

01
Free · 30 minutes

Readiness check

We look at your data, your systems and the task you want help with.

You getAn honest view of what AI can and cannot do here
02
Before any code

Spec first

We write down what the AI may do, what it may not do and how we will measure it.

You getA written spec you approve
03
Weeks, not months

Build a working slice

We build one task end to end on your real data, so you can try it early.

You getA working version to test
04
Same rules as our products

Add guardrails

Approval steps, permissions, budgets and a log of every action.

You getAI that cannot act on its own
05
Same team after launch

Run and improve

We put it into daily use, watch the results and tune it.

You getA system in production, with support
FAQ

Common questions

What does AI Product Engineering mean at Zehntech?

It means building AI into real products and workflows, then running it in production. We build agents, LLM features and integrations, and we run the same kind of systems inside our own company.

What is in the free AI readiness check?

A 30-minute review of your data, systems and the task you want help with. You get a straight answer on whether AI fits, and what the first project should be.

Which AI models do you work with?

OpenAI, Anthropic Claude, Google Gemini, AWS Bedrock, OpenRouter and local models through Ollama. We choose per task, based on cost, privacy and quality.

Can the AI change our data without asking?

Not in the systems we build. Agents prepare work and wait for approval, follow each user’s permissions and log every action.

Do you only work on AI?

No. We also build web applications, mobile apps and custom software, and we add AI to them when it helps.