Services
AI transformation services
From identifying the right opportunity to implementing and operating reliable AI-enabled workflows, our services connect business priorities with enterprise engineering.
Discover
AI Opportunity Discovery
Identify where automation could create value — and where it would not.
Typical scope
- Stakeholder interviews
- Process mapping and friction points
- Data and system inventory
- Candidate use cases
- Feasibility and risk review
- Prioritization and preliminary business case
Possible deliverables
- Opportunity shortlist
- Feasibility findings
- Phased roadmap
- Recommended pilot scope
Connect
Enterprise AI Integration & Enablement
Make existing enterprise capabilities accessible to AI solutions with appropriate control.
Typical scope
- API and data-source integration
- Identity and access design
- Knowledge connectivity
- Orchestration interfaces
- Security architecture
- Deployment planning
Possible deliverables
- Integration architecture
- Connectors
- Governed interfaces
- Deployment documentation
Automate
AI Automation & Agents
Build practical AI-enabled workflows that support real business processes.
Typical scope
- Assistants
- Document processing
- Workflow automation
- Tool-enabled agents
- Exception handling
- Evaluation, human review and approval patterns
Possible deliverables
- Working pilot or production solution
- Acceptance tests
- Operating guidance
Operate
AI Operations & Continuous Improvement
Keep deployed solutions useful, observable, and maintainable.
Typical scope
- Monitoring and support
- Quality evaluation
- Incident and exception review
- Model and provider updates
- Prompt and workflow tuning
- Governance reviews
Possible deliverables
- Service plan
- Agreed support procedures
- Performance and quality reporting
Available as an engagement model subject to scope and agreement.
Enterprise Software Engineering
The engineering foundation behind our AI work
We continue to design and build enterprise applications, APIs, integrations, and distributed systems. These capabilities support AI initiatives and remain available for focused software engineering projects.
Analysis & Design
Requirements analysis, functional and technical specifications, and enterprise architecture designed to evolve, scale, and integrate.
Software Development
Custom software on the Microsoft stack — .NET, ASP.NET Core, C#, SQL Server — on Azure and AWS, with automated and manual testing.
UI Frontend Development
Fast, accessible interfaces built with React, Angular, and Blazor, integrated with .NET backends.
APIs & Microservices
REST APIs, gRPC, background services and Azure Functions, with Docker, Kubernetes, API Management, and Service Bus.
System Integration & EAI
Custom connectors and middleware, event-driven messaging (Event Grid, Service Bus), SOAP/REST legacy integration, and identity federation (Entra ID, OAuth2, OpenID Connect).
Not sure where to start?
Tell us what you are trying to improve. We will suggest a sensible first step — even if it is a small one.