# AI that goes into production. Not into the lab.

> From Rovo to custom agents: we bring AI to where your work happens – in Jira, the service desk, the CRM, on the shop floor. 100% AI-driven delivery.

Source: https://www.xalt.de/en/xalt-ai/

From Rovo to custom agents: we bring AI to where your work happens – in Jira, the service desk, the CRM, on the shop floor. Measured by outcome, not by demo effect.

[Start an AI sprint – 2 weeks](https://www.xalt.de/en/book-a-meeting/)

## Six ways to bring AI into your organisation.

### AI strategy & assessment

Use-case prioritisation, data readiness and an ROI model – the course for your AI roadmap instead of twelve directionless pilots.

### Rovo & Atlassian Intelligence

AI search, chat and Rovo agents across the system of work – rollout, governance and custom agent development.

### Custom agents & LLM integration

Custom agents built with Claude and GPT – with tools, guardrails, an audit log and approval gates. MCP-ready.

### AI in the service desk

Virtual agents, automatic triage and knowledge lookup – fewer tickets, faster resolutions, measurable in the SLA.

### Process automation with AI

Documents, shift reports, approvals, onboarding – workflows that take care of themselves. In manufacturing too.

### AI enablement & academy

Training and change management so AI gets adopted – from the board down to every team.

## Already built. Ready to use.

### CRMOS

Agentic CRM OS: AI agents work your CRM – research, qualification and follow-ups across HubSpot, Salesforce and more. Not a separate tool, but a layer on top of the CRM you already run.

### IT-Projektretter

AI-supported crisis intervention: analysis, code reviews and monitoring, with a rescue team on-site in under four hours, nationwide and around the clock.

### Container8 AI

Agents on the paved road: scaffolding, reviewing, remediating – on the same golden paths your developers already use, with the same guardrails.

## Two weeks, three steps, one measurable result.

No concept paper upfront – the pilot is built on real data.

1

Step 01

### Sharpen the use case

One workflow, one measurable metric, one success criterion – defined together with the team that owns it.

2

Step 02

### Build the pilot

Agents analyse, document and test on real data, while consultants set the architecture and guardrails.

3

Step 03

### Measure the effect

The result is a number, not a demo – you decide on the rollout based on that.

## We do not sell anything we do not live ourselves.

Two weeks from use case to pilot.

Every XALT project runs AI-accelerated: agents analyse, document and test, our consultants decide. The result: faster projects at the same quality bar, and a partner who advises from its own practice.

- EU hosting and GDPR-first: data residency to your own requirements
- An audit log for every agent action, traceable and reversible
- Approval gates: humans decide on anything irreversible
- Works-council tested: rollout with change management, not against it

## One use case, two weeks, one measurable result.

Bring us the workflow that annoys you most – we build the AI pilot, you measure the effect.

[Start an AI sprint](https://www.xalt.de/en/book-a-meeting/)

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