Sovereign AI Software Factory

Delegate the work.
Keep the control.

A team of specialized AI agents takes your requirements through software development — inside your OpenShift environment, with your engineers in control at every gate.

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Explore the platform

ATHISE.Project workspace

INTERACTIVE PROJECT

My internal application

An internal application for team requests, with role-based access and a clear activity history.

02 / 05

HUMAN DECISION

The output is ready for your review. You decide what happens next.

BANKS · INSURERS · PUBLIC SECTOR · ALL INDUSTRIES

Software can move faster.
Your standards stay.

For organisations in DACH and the EU, data residency, security and governance are buying criteria. ATHISE brings agentic software development into the environment you control.

79,000: Unfilled IT positions in Germany
78%: Of companies report an IT skills shortage
42%: Of companies with IT positions already use AI in IT

Engineering

Give scarce teams room to build.

Legacy modernisation and testing consume engineering capacity. Delegate work with clear acceptance criteria, then review the result.

Security

Keep sensitive work inside.

Control where source code, prompts and data are processed. Local inference and isolated execution reduce exposure; security review remains part of deployment.

Governance

Know what happened. And who decided.

Agent actions, model choices, reviewer verdicts and human approvals form the evidence your organisation needs to assess AI-assisted work.

THE ATHISE PLATFORM

Not a coding assistant.
A platform.

A configurable team of specialised AI agents takes requirements through architecture, implementation, testing and review. Run the whole path or only the steps you need, on your own OpenShift infrastructure.

Configure roles, workflow stages and permitted models for each project. Agents can work around the clock; defined human gates control when work advances.

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ATHISE.Project workspace

PRIVATE ENVIRONMENTLocal inference

Internal finance service

A controlled workflow, from context to reviewed output.

requirements.mdsecurity-policy.pdf

✓
Project contextApproved sources loaded
Complete
✓
Local analysisModel running inside your cluster
Complete
03
Architecture reviewDecision required before implementation
Your review

HUMAN APPROVAL GATEYour data boundary stays in place.

Illustrative workflow · example project data

Bring AI to work that must stay inside your environment. Agree the data boundary, permitted models and human checkpoints before the first run.

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0: External model calls in this local example
1 cluster: Code, context and model inference
2 sources: Selected project inputs
Your gate: Review before the next stage

ATHISE.Project workspace

SOFTWARE FACTORYIn review

Customer self-service portal

From a requirements document to an engineering plan.

requirements.mdacceptance-criteria.md

✓
AnalysisRequirements structured and checked
Complete
✓
PlanningTasks and dependencies prepared
Complete
03
High-level architectureService boundaries ready for your review
Your review

HUMAN APPROVAL GATEThe next stage starts with your approval.

Illustrative workflow · example project data

Give the team a requirements document. Follow analysis, planning, architecture and implementation as a connected workflow with review at every stage.

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5 stages: Analysis through implementation
3 outputs: Source code, images and Helm charts
1 brief: A shared starting point
Every gate: An engineer makes the decision

ATHISE.Project workspace

MODERNIZATION PILOTScoped change

Order service · migration pilot

One bounded change with a reviewable outcome.

service-context.mdmigration-scope.md

✓
Scope assessmentInterfaces and constraints captured
Complete
✓
Migration planA focused change proposal prepared
Complete
03
Engineering reviewValidate compatibility before proceeding
Your review

HUMAN APPROVAL GATEAgree the scope. Review the change.

Illustrative workflow · example project data

Explore a bounded migration or refactoring pilot. Existing-project integration and broader refactoring workflows depend on the release and agreed pilot scope.

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1 service: A bounded pilot scope
2 inputs: Context and migration requirements
1 plan: A change proposal to assess
Pilot-led: Validate against your existing system

ATHISE.Project workspace

QUALITY ENGINEERINGReview ready

Payments API · test workflow

Clear acceptance criteria before agent execution.

api-contract.yamltest-criteria.md

✓
Acceptance criteriaExpected behaviour and edge cases
Complete
✓
Test proposalChecks mapped to the agreed scope
Complete
03
Quality reviewAssess output against your criteria
Your review

HUMAN APPROVAL GATEYour acceptance criteria set the standard.

Illustrative workflow · example project data

Assess a focused testing or review workflow. Choose the relevant agent roles, define acceptance criteria and measure the review effort alongside the output.

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1 API: A focused example workload
2 sources: Contract and acceptance criteria
3 steps: Define, generate and review
Human-led: Accept or request a focused change

THE SOFTWARE LIFECYCLE

From requirements
to deployable software.

Connect analysis, planning, architecture, detailed design and coding in one configurable workflow. Use the full lifecycle or the stages you need, with a human gate after every stage.

Turn source requirements into a structured description of the work. Review scope, constraints and open questions before planning begins.

READY FOR YOUR REVIEW

A structured brief with scope, constraints and open questions.

Break the approved requirements into a task board. Confirm priorities and expected outputs before the agents proceed.

READY FOR YOUR REVIEW

A task board with priorities and expected outputs.

Review the proposed system structure and major technical decisions in the context of your environment.

READY FOR YOUR REVIEW

A proposed system structure and key technical decisions.

Refine component specifications, interfaces and APIs into instructions that implementation agents can use.

READY FOR YOUR REVIEW

Component specifications, interfaces and API contracts.

Turn approved specifications into code. Testing and specialist reviews provide evidence for your final sign-off; the delivery workflow produces source code, container images and Helm charts.

READY FOR YOUR REVIEW

Reviewed source code, container images and Helm charts.

SPECIALISTS & REVIEWERS

A team of specialists.
With reviewers built in.

Agents create. Human specialists review. Your engineers decide. Roles, reviewers and gates are configured per project, from a focused testing workflow to the full team.

INPUT

Requirements · guidelines · existing code

AGENT TEAM

Requirements engineering

Turn source requirements into a structured specification.
Specification review

Check quality, completeness and open questions.
Architecture

Translate the approved specification into a system design.

Human Experts

Security expert

Threat modelling

Requirements expert

Specification compliance

Principal designer

Design quality

Review feedback returns to the agent team for revision.

HUMAN APPROVAL

Architecture approval

Accept the architecture or send it back with a focused revision.

Architecture specification

ARCHITECTURE

Everything runs
inside your cluster.

Single-tenant. Public cloud, private data centre or fully air-gapped. The cluster boundary is the product boundary. ATHISE provides the pipeline, approval gates and user interface. OpenShift AI provides model serving and the MCP layer. The deployment architecture brings these parts together inside your environment.

01

ATHISE

Pipelines · human gates · workspace

02

OpenShift AI

MCP servers · model serving on your GPUs

03

Approved registries

Packages and images from approved sources only

04

Code & artifacts

Source code · container images · Helm charts

Inside this boundary: your code, your data and every model call.

GOVERNANCE IN CONTEXT

What supervision
actually asks.

Data protection, operational resilience, human oversight and supply-chain security shape the questions your team must answer. ATHISE’s architecture gives those conversations a concrete starting point.

GDPR

Control personal-data processing.

Document where personal data is processed, who can access it and the safeguards for any transfers. A local deployment gives you control over that boundary.

Framework reference

DORA

Make ICT dependencies visible.

Financial entities need to manage ICT risk and operational resilience. Defined workflows and controlled dependencies support the assessment of how AI-assisted engineering fits into those processes.

Framework reference

EU AI Act

Keep human oversight meaningful.

For AI systems in scope, including high-risk systems, assess the applicable oversight and traceability requirements. Defined gates give engineers a clear place to inspect, intervene and decide.

Framework reference

NIS2

Know your software supply chain.

Cybersecurity risk management includes supply-chain security. Approved package and image sources make dependency provenance an explicit part of the deployment design.

Framework reference

ATHISE IN SUMMARY

Your agents. Your cluster.
Your decisions.

A configurable team executes the software lifecycle on your OpenShift infrastructure, with specialist reviews and human gates connecting the work.

Sovereignty

Keep code, data and model calls within your cluster. Use local models, with deployment options up to fully air-gapped.

Speed

Move requirements towards working code with agents that can work around the clock. Measure the improvement against your own delivery baseline.

Governance & auditability

Connect actions, reviewer verdicts and approvals into a traceable record. Agree event coverage and audit-report export for your release.

Control & quality

Combine human specialist reviews with engineering approval. Your engineers retain responsibility for architecture and final sign-off.

FAQ

A few things worth knowing.

What is ATHISE?

ATHISE is a Sovereign AI Software Factory by cloudWerkstatt. It coordinates specialized agents across a configurable workflow on your own OpenShift infrastructure. Engineers review the output and decide when the workflow can continue.

Does source code leave our environment?

In a fully local deployment, models run on your infrastructure and the workflow stays inside your cluster. Fully air-gapped operation is supported. The actual data boundary is verified as part of the deployment design.

Can we choose only the stages we need?

Yes. Projects define their enabled workflow stages and permitted models. Optional stages can be excluded during configuration; required or already-active stages remain protected.

Do we need infrastructure for a demo?

No infrastructure is required on your side for an initial product demonstration. A customer pilot is scoped separately around your environment and the workflow you want to evaluate.

Is compliance automatically included?

No. Sovereign deployment and human gates provide architectural controls. Security review, legal assessment and any regulatory approval remain specific to your organization and use case.

How is ATHISE priced?

Pricing is available on request. We first agree the workflow, deployment requirements, integration and support scope, then prepare a proposal. No standard seat price or public subscription rate is currently stated.

LET’S MAKE IT CONCRETE

See your next workflow
in ATHISE.

Explore a complete pipeline in a product demonstration. Talk through your requirements with the people building the platform.

Request demo

Product enquiries: sales@cloudwerkstatt.com
General enquiries: office@cloudwerkstatt.com
Product support: support@cloudwerkstatt.com

Delegate the work.Keep the control.

My internal application

Engineering

Give scarce teams room to build.

Security

Keep sensitive work inside.

Governance

Know what happened. And who decided.

Not a coding assistant.A platform.

Internal finance service

From requirementsto deployable software.

Analysis

Planning

High-level architecture

Low-level design

Implementation

Requirements engineering

Specification review

Architecture

Security expert

Requirements expert

Principal designer

Architecture approval

Coding

Testing

Security expert

Requirements expert

Principal designer

Final sign-off

Everything runsinside your cluster.

ATHISE

OpenShift AI

Approved registries

Code & artifacts

GDPR

Control personal-data processing.

DORA

Make ICT dependencies visible.

EU AI Act

Keep human oversight meaningful.

NIS2

Know your software supply chain.

Sovereignty

Speed

Governance & auditability

Control & quality

A few things worth knowing.

See your next workflowin ATHISE.

Delegate the work.
Keep the control.

Not a coding assistant.
A platform.

From requirements
to deployable software.

Everything runs
inside your cluster.

See your next workflow
in ATHISE.