Several Microsoft tools, one design
A defect management app for CalMac that joins Power Apps, Power Automate, SharePoint lists and Power BI into one design for 1,700 employees across 33 ships.
AI solution design
Turn a business problem into an AI design that works.
We gather requirements with your stakeholders, design the architecture, data flows and integration points, then prove the design with a small prototype before anyone commits to a full build. You get clear success measures agreed up front, so it is obvious whether the solution is doing its job.
Related services
From design to a working solution.
A good design needs a strategy behind it and a build team after it. These are the services we connect it to.
AI strategy
Prioritise AI use cases by impact and feasibility before any design work starts.
Custom AI solutions
We build the solution we designed, tested against your success measures.
Azure AI Foundry
The Azure platform for building and managing AI applications and agents at production level.
Copilot agents
Where the answer is an agent in Microsoft 365, we design and build it in Copilot.
Dataverse
A data platform for Power Platform and AI solutions, with security and relationships set up properly.
AI governance
Security and governance included in the architecture from day one.
2 to 4 weeks
for a simple Power App or Power Automate flow
8 to 16 weeks
for a complex application or full legacy modernisation
20+ years
of Microsoft experience behind the design team
How we work
How an AI design project runs.
01
Discovery
Workshops with stakeholders to define objectives, constraints and the success measures the solution will be judged on.
02
Design
The technical framework, data flows and integration points, plus the security and governance that go with them.
03
Build
A small scale proof of concept that tests the design on your data before a full deployment is agreed.
04
Train
We walk your team through the architecture and the prototype so they understand the design decisions and can challenge them.
05
Go live
We hand over the validated design and plan the full build with you, using Dataverse and the chosen AI product.
Case studies
Case studies we have delivered.
Read the CalMac case study
FAQ
Frequently asked questions.
What do we get from an AI solution design?
A clear architecture, integration plans, agreed success measures and a proof of concept that shows the design works before full deployment.
Why build a proof of concept first?
It validates the design on a small scale, so problems show up before you have committed to a full build.
Which platforms do you design for?
Microsoft platforms, including Azure AI, Copilot, Power Platform and Dataverse, chosen to fit your requirements.
Who takes part in requirements gathering?
Stakeholders from across the business, so the objectives and constraints reflect the people who will use the solution.
Talk to our AI design team.
Tell us what you are working on and we will come back to you within one working day to arrange a call.