YOUR CO-PILOT FOR THE NEXT DECADE OF IT

We run the machinery behind ambitious IT.

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Three Layers, One Outcome

What We Build for AI-First Organisations

From secure foundations to adoption across teams.

Secure Platform

Container8 provides the technical foundation for AI-assisted delivery: secure pipelines, self-service, governance and measurable operational quality.

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Build & Integrate

We bring agents and automation into the tools where work already happens: Jira, Confluence, Slack, M365 and custom integrations.

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Enable & Scale

Workshops and strategic guidance help teams use AI safely while leaders rethink roles, quality and governance for a new operating model.

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Turning Potential Into Impact

From the First Question to a System in Production

We work with your team on what matters next.

1
Elevate

Frame the context

We map goals, risks and systems, then choose the use case with the strongest leverage.

2
Execute

Build the solution

We build platforms, agents and integrations in your working context and test them early.

3
Empower

Make adoption stick

We establish ownership, new routines and enablement so impact reaches beyond the pilot team.

The Difference in Operation

AI Experiments Matter When They Become Operational

Isolated experiments

Velocity

One team finds a good path that is hard to replicate.

Security

Checks and permissions arrive after prototyping.

Integration

AI sits beside Jira, Confluence and existing processes.

Organisation

A few enthusiasts carry the knowledge and responsibility.

Enterprise-ready AI

Velocity

Patterns, platforms and standards make progress repeatable.

Security

Security, data flows and governance travel with every release.

Integration

Agents work where teams already manage tickets, knowledge and decisions.

Organisation

Roles, quality standards and learning paths turn AI into a team capability.

Field Notes and Insights

What We Are Exploring

AI, agents, Atlassian and the practice behind them.

Atlassian

Personal AI Agents Compared: Rovo, OpenClaw, and Agent SDKs Like Claude or OpenAI

Rovo, OpenClaw, or Claude/OpenAI: how personal AI agents differ in 2026 and which approach fits your team.

Illustration of agentic AI: robotic hand typing on a laptop keyboard with an AI chip
News

Why Agentic AI Becomes the Standard in 2026

Agentic AI systems are replacing the chatbot era. No more hype – real automation that takes over workflows instead of just responding to them.

BaFin-compliant Atlassian Cloud migration for financial service providers
Atlassian

BaFin Compliance for Atlassian Cloud – What Financial Institutions Need to Know Now

New EU FSA rules have been in effect for Atlassian Cloud in financial services since December 2024. We show what has changed and how you can migrate to the cloud in a BaFin-compliant way.

Title graphic: 5 Steps to Building an Enterprise AI Harness on a dark blue background with network visualization.
DevOps

The Agent Harness: The Real Foundation of Enterprise AI

Why the agent harness – not the AI model or the generated code – determines the success of enterprise AI initiatives, and how to build one in five steps.

Illustration of zero trust and governance for agentic AI
DevOps

Governing Agentic AI Safely: Zero Trust and Compliance for AI Agents

AI agents are transforming the enterprise at speed – and the risk is growing just as fast. How the "in dubio pro securitate" principle, formal verification, and zero trust keep agentic AI safe and compliant.

Atlassian Team '26: the move to the AI-native organisation
Atlassian

Atlassian Team '26 Recap: The Shift to the AI-Native Organization and the Role of the Teamwork Graph

XALT was on the ground at Atlassian Team '26 in Anaheim. Our recap covers the Teamwork Graph, Rovo, and the new Teamwork, Service, Product, Software, and Strategy Collections – and what it means for enterprises in Germany.

Experience That Holds Up

We Talk Practice Because We Build in Practice

A few anchors from the work we do today.

50+
Practitioners on the team
18
published customer stories
3
layers in our AI approach

The Questions Behind the Hype

What Enterprise AI Needs in Practice

Straight answers, without the buzzword bingo.

AI is our current focus, but we connect it with Atlassian, cloud, DevOps and process expertise. That combination determines whether an agent works reliably in daily operations or remains an isolated prototype.

We start with context, not with a tool: goals, data, risks, existing platforms and a concrete bottleneck. That creates a prioritised use case you can test quickly and evaluate properly.

Both formats connect us with the people responsible for AI inside organisations. Charlotte focuses on AI-assisted engineering at scale; the XALT AI Circle with Peter Steinberger explores personal agents and enterprise readiness.

The Next Useful Step

Let’s Find Where AI Can Make a Real Difference

Whether it is a platform, an agent, an Atlassian environment or an organisational question, we help you identify what matters now and where implementation can create the most leverage.