AI agent engineering — built, shipped, operated

We build the agents that make your team radically more productive.

AI can automate almost any task and makes digitalisation far cheaper. As one of the leading AI agencies, we help you raise productivity sharply and cut costs along the way.

Large-scale experience, not tutorial knowledge> 100 agents in production> 300% ROI in < 1 yearapprox. 6 weeks to first live pilotexclusive agent runtime

01 / Services

Five areas, one delivery team.

A1

Agent architecture

Where an agent belongs in your process, where it must not go, and what it needs to be trusted: tool boundaries, memory, escalation paths, audit trail.

A2

Hands-on build

Our engineers write the code, wire the systems and ship into your environment. No slide-only strategy, no offshore handoff, no black boxes.

A3

Process automation

Claims, procurement, back-office, support, development. We examine how the process really runs, then automate what is possible and what you want automated.

A4

Evaluation & guardrails

A regression suite per agent, graded on your own cases. Releases are gated on scores, not on vibes — and the numbers stay visible after launch.

A5

Run & improve

On-call, monitoring, cost control and a monthly improvement cycle — or a clean handover to your team, documented and trained.

02 / How we work

Four phases from diagnosis to live operation.

PHASE 01 / 04
01

Scan

2 weeks

We sit with the people doing the work, instrument the process end to end and rank the automation candidates by value, risk and feasibility.

Output — ranked backlog
02

Pilot

6 weeks

One agent, one process, real traffic behind a human check. We measure it against the way the work is done today, using cases your own people graded.

Output — live agent + evaluation baseline
03

Stabilisation

As needed

Integrations, permissions, observability, cost ceilings, fallbacks and the operating runbook the on-call team will actually use.

Output — stable system
04

Scale

Ongoing

The second and third agent reuse the platform. Your team takes the wheel; we stay on call for as long as that is genuinely useful and not a day longer.

Output — internal capability

03 / Selected work

Three agent setups, running for over a year.

Insurance

Process automation

A range of processes digitised, either fully automated or with human steps and approvals in between. Several applications made to work together through interfaces or browser automation.

-89%
Handling time
-96%
Error rate
Commerce

Procurement agent

Quote requests, supplier comparison, follow-up and negotiation handled end to end. Deal-ready cases are handed to the buyers, who make the final decision themselves.

73%
Faster process
6%
Lower purchase price
IT

Quality assurance for IT applications

Security, load and functional tests run fully automated and raise test coverage substantially in very little time. Issues found are prepared directly as tickets, for coding agents or people to pick up.

91%
Faster bug fixing
-86%
Cost
StackAnthropic ClaudeOpenAILangGraphTemporalPostgres / pgvectorAzure OpenAIAWS BedrockSAP / Salesforce APIsKubernetes

“The first vendor that came back in week two with something running instead of a workshop invitation.”

Head of department, automotive

04 / Packages

Flexible scope, real outcome, no consulting fuss.

Agent Scan

2 weeks · fixed
· Analysis of existing processes
· Creation of a ranked automation backlog
· Business case per candidate
· Delivery of one working prototype
Request the scan

Long-term Partner

Rolling · monthly
· Dedicated team sized to what is needed
· Agent portfolio and platform
· On-call, monitoring, cost control
· Enablement and handover
Talk about capacity

05 / Questions

Do you work inside our infrastructure?

Yes — Azure, AWS, GCP or on-prem. You set that; we advise on it, or operate it on request. Data stays in your tenancy and we work under your access model.

What if the pilot fails?

In our work so far, no pilot has failed on technical feasibility. The setup is deliberately built to reach the practical delivery phase quickly, so the real obstacles to going live — legal or organisational ones, for example — surface as early as possible. If some of them then turn out to be unresolvable, that is a valuable finding for your business when it weighs up where to take digitalisation and automation next.

Who owns the code and the agents?

You do, from day one. No licence, no per-seat markup on the components we build, and no need to be locked into a platform only we can operate.

How do you handle the EU AI Act?

On request, the EU AI Act is observed during delivery already. Risk classification happens in the scan, before anything is built. Documentation, human oversight and logging are part of delivery.

Do we need our own AI team first?

No. Most clients start with one curious engineer and a process owner. Building the internal team is the explicit goal of the scale phase.

06 / Notes from the build

What we learn building real agents.

All notes →

Tell us the process that hurts.

We answer within one working day with an honest read on whether an agent is the right instrument — and what it would take.

hello@mind-ai-labs.com
+49 3433 7779349
Wilhelm-Külz-Straße 4, 04552 Borna