Document processing
Invoices, forms, and contracts read and routed automatically.

We combine Microsoft's AI, data, automation and business applications into an architecture designed around your organisation — not a one-size-fits-all product.
Six capability layers, assembled to fit the problem in front of you.
Discovery & Analytics
See how work actually flows
Apps & Portals
iBPMS & low-code platforms
Process Automation
Workflows that run themselves
Generative AI
Copilots built on your data
Document Processing
Read, extract, and route paperwork
Integrations
Where your team already works
A promising demo that never reaches production.
Point solutions bolted on beside the real systems.
New AI licences for capability you already own.
No clear answer on data, access, or auditability.
Typical enterprise AI build — share of delivery effort, illustrative
The problems these layers get pointed at most often.
Invoices, forms, and contracts read and routed automatically.
Answers drawn from your policies and records, not the open web.
Multi-step processes that chase themselves to completion.
See where the delays and rework actually sit.
Replace the spreadsheets running critical work.
Live dashboards instead of month-end assembly.
Leave your details and we'll set up an AI discovery session — no obligation, no pressure.

Map the process, the data, and what's already licensed.
Architect the solution across the right Microsoft services.
Ship a working slice to real users, fast.
Harden, govern, and roll out across the business.
Discovery session
What you walk away with
The process worth automating first
What your current licences already cover
A target architecture on the Microsoft stack
A realistic path from pilot to production
Often not. Most organisations already hold Microsoft 365 and Azure entitlements that cover a meaningful first project — Power Automate, SharePoint, Teams, and parts of AI Builder and Azure AI. The discovery phase maps what you already own before anything new is quoted, and where a new licence genuinely is required we'll say so upfront.
Because the data, identity, and permissions already live there. Building on the Microsoft stack means your AI inherits existing access controls and audit trails instead of creating a second copy of your data in someone else's platform — and it lands where your team already works, in Teams and Microsoft 365.
A first working pilot with real users is typically weeks, not quarters — that's the point of scoping a narrow slice first. Scaling it across the business follows once the pilot has proven the process and the governance model.
It stays within your Microsoft tenant, under your existing identity and access controls. Data residency, retention, and who can see what are all decided during design, not discovered afterwards.
No — that's the most common starting point, and it's exactly what discovery is for. We map how work flows today and where the time actually goes, then recommend the one or two processes worth automating first.
Yes. We regularly deliver alongside in-house IT teams and incumbent providers, handling the AI and Power Platform build while they retain the rest of the environment.

We'll map the process, the data, and the licences — then show you what's worth building first.