Enterprise workloads infused with AI, Copilot, and automation across sales, service, and operations.
Learn moreEnterprise data platforms, modern app innovation, Azure infrastructure, and automated quality engineering.
Learn moreHow we engage · Build
Your people build alongside ours on Dynamics 365, Power Platform, Fabric and Azure, from the first proof to go-live.
Our delivery
Implementations fail for familiar reasons: unclear scope, poor data, late testing and change management that starts at go-live. Our delivery model addresses each one, with reusable templates, automation and AI-assisted engineering, and senior consultants who own architecture, process design and adoption.
What we build
Solution area
Dynamics 365 and Power Platform, built around how your teams work.
Dynamics 365
Sales, Customer Service, Field Service and Business Central
Faster close · real-time visibility · one customer view
Power Platform
Power Apps, Power Automate, Copilot Studio agents
Governed apps, flows and agents replace manual workarounds
Solution area
Azure and Microsoft Fabric, from the data up.
Microsoft Fabric
Unified data platform, lakehouse, Power BI reporting
One trusted source of data · faster insight
Azure
Migration, app modernization, Azure AI solutions
Lower infrastructure cost · scalable apps and AI
How we deliver
01
Scope, success criteria, team and governance confirmed. Environments and DevOps set up.
02
A Proof of Value on your own data, so you see it work before you commit to the full build.
03
Configure, develop and integrate in short sprints, with business users reviewing every iteration.
04
Automated data migration and regression testing to lower go-live risk.
05
Training, champions and change management that start in week one.
06
Hypercare with your Run team already in place, and results checked against the goals set in Design.
The engagements inside Build
Most clients start with a Proof of Value. Some go straight to Implementation when the route is already clear.
Engagement
A focused build on your own data that shows whether the idea holds up before you fund the full project.
Scope, success measures and data agreed up front
A working result your team can test
A clear go or no-go recommendation
Typical length
4 weeks
Verify
Engagement
The full build, delivered in stages until it's live in production, with a plan for running it afterward.
Delivery in planned releases
Hands-on working sessions with your team
Cutover and handover into Run
Typical length
6 weeks
Verify
Every timeline is set in Design, once we know your systems and your calendar.
Built in
Security by design. Identity, access and data protection set up from the start.
AI-ready foundation. Data and processes structured so Copilot and agents can be added without rework.
Transparent governance. Weekly status, a shared RAID log and steering reviews tied to your KPIs.
Outcomes
A working solution in production. Running in your Microsoft environment, in daily use.
Solutions people use. Your people helped shape it, so they use it and can run it.
A date and budget you can plan around. Fewer surprises, because risks surface early.
Documentation you’ll use. Architecture, runbooks and decisions, written for the people who maintain it.
A clean handover to Run. No knowledge gap, because the Run team joins during Build.
Capability examples
The kind of work this looks like. Client names appear once a story is approved.
Capability 01
Bidding, consignment and cashiering moved off legacy SQL Server into one CRM, one department at a time.
Capability 02
A nonprofit brought donor, payment, finance and program data into Microsoft Fabric, with board reporting from one source.
Capability 03
Photo classification, drafted listing descriptions and ID document reading, used by staff every day.
Let's talk
Bring your scope, timeline or a stalled program. We'll tell you plainly what it will take.
Microsoft Solutions Partner · Data & AI (Azure) · Digital & App Innovation (Azure)