- Home
- Solutions
Solutions
Four disciplines. One delivery team.
AI, software, data and cloud engineering that work together. Most projects need more than one discipline, so one team owns the whole result.
AI & automation
AI agents, copilots and automated workflows that people use every day, built on your data and inside your Microsoft or cloud environment.
What we build
- Knowledge assistants on approved company content
- AI agents that act in your systems
- Document reading, checking and routing
- Email, ticket and request triage
What changes
- Answers in seconds instead of searches
- Fewer manual steps per transaction
- Every AI action logged and reviewable
- People approve exceptions, AI does the rest
Typical first projects
- Technical documentation assistant for field engineers
- Invoice and certificate processing with human review
- Sales and bid support copilot on past proposals
Software engineering
Applications, portals and integrations that connect the systems you already run, from a single API to a full digital product.
What we build
- Web applications and client portals
- APIs and system integrations
- Modernisation of legacy applications
- Quality engineering and test automation
What changes
- Data entered once, used everywhere
- Old systems kept running while they are replaced
- Releases tested automatically
- Software your team can maintain
Typical first projects
- CRM, ERP and reporting connected through APIs
- A customer or partner portal on existing data
- An internal tool that replaces a spreadsheet process
Data & analytics
The pipelines, models and reports that turn scattered data into numbers people trust, and the foundation every AI use case needs.
What we build
- Data pipelines and a single data platform
- Dashboards and management reporting
- Data quality rules and ownership
- Forecasting and machine learning models
What changes
- One version of each number
- Reports that refresh themselves
- Data ready for AI use cases
- Clear owners for every data set
Typical first projects
- A management dashboard from five source systems
- Demand or price forecasting model
- Data readiness review before an AI programme
Cloud & platforms
The infrastructure, delivery pipelines and monitoring that keep applications and AI running securely and at a known cost.
What we build
- Cloud landing zones and migrations
- CI/CD pipelines and DevOps
- Monitoring, SRE and incident response
- Cost control for cloud and AI usage
What changes
- Faster, safer releases
- Known monthly cloud and AI costs
- Fewer outages, faster recovery
- Infrastructure defined as code
Typical first projects
- Move one application to Azure or AWS
- Set up DevOps pipelines for an existing team
- Monitoring and cost dashboard for AI services
Safe by design,
in every discipline
Governance is part of every project, not a separate phase. We build to your security policies and to the EU AI Act from the first sprint.
- Access rights respected: AI only sees what the user may see
- Every AI answer and action logged and traceable
- Data stays in your tenant and your region
- Risk classification of each use case under the EU AI Act
- Security review before go-live
- You own the code, the data and the models
Not sure where to start?
Book a 30-minute discovery call. We tell you which disciplines your project needs, how we would deliver it and what it costs.