Enterprise applications with AI built in from sprint one.
Portals, case-management systems and internal platforms engineered end to end by the same team that builds the AI, so intelligence lives where the work happens instead of in a separate tool.
AI bolted onto old screens rarely gets used.
Many AI projects fail at the last metre. The model works, but staff have to leave their system, copy data into another window and paste the answer back.
Applications designed with AI from the start look different. The case screen shows the agent's findings, the approval queue carries the evidence, and the form pre-fills itself from the uploaded documents.
We are application engineers first. Architecture, UX, integration and the AI layer are designed together, by one accountable team.
What we build and run for you.
Case and workflow platforms
Licensing, permits, claims, onboarding and approvals, with every step tracked and auditable.
Portals
Citizen, customer and partner portals with identity integration and accessibility built in.
Internal platforms
Operations consoles, back-office tools and dashboards that replace spreadsheets and email chains.
Low-code where it fits
OutSystems, Appian, Pega or Power Platform when speed matters more than full custom control.
Applications people and agents work in together.
Designed around the real workflow, engineered for the systems it has to reach, and supported by the team that built it.
Delivered in phases, usable from the first one.
Shape
2 wksMap the users, the decisions and the systems the application must connect to.
First release
6–10 wksA working core on real data, in front of real users, with the AI layer in place.
Expand
phasesAdd workflows, business units and integrations without reworking the foundations.
Run
ongoingMonitoring, support and continuous improvement by the team that built it.
- Role-based access from day one
- Audit trail on every record change
- Accessibility to WCAG 2.2 AA
- Automated testing in the delivery pipeline
- Architecture that absorbs new units without rework
Where it earns its keep.
Illustrative patterns from the sectors we work in. Client details stay anonymised.
Regulatory lifecycle platform
Permits, inspections, violations and executive reporting in one platform, replacing paper and spreadsheets.
Multi-operator authority platform
A single platform serving hundreds of operators with strict data separation and partner APIs.
Onboarding and servicing
Customer onboarding with document AI, KYC checks and a clear queue for exceptions.
Field and back-office console
One place for crews and supervisors to plan, record and approve work.
Chosen for the job, not the vendor.
Work this builds on.
A regulator's entire licensing lifecycle, rebuilt as one digital platform
A governed digital platform and partner API layer for a national education authority
Client details anonymised per delivery agreements.
Questions we get asked.
React, Next.js, .NET, Java — what do you actually use?
The mix matches the estate. React (often via Next.js with the App Router) is our default for new frontend work. .NET / ASP.NET Core and Java Spring Boot are the back-end defaults, chosen against the existing stack. Python comes in for data and AI-adjacent services. Mobile is React Native or Expo for cross-platform; native Swift or Kotlin when the workload demands it. We do not have a stack preference we drag into every engagement; we have a quality bar.
Can you take over an in-flight application build?
Yes. We start with an architecture and code-quality audit, distinguish what is salvageable from what needs to be replaced, and produce a remediation plan with a defined cutover horizon. Programme rescue is one of our most common engagement types — see our advisory practice for the standalone version of this work.
When is low-code the right choice over custom development?
When the workflow shape is well-understood, the user count is in the hundreds to low thousands, the integration surface is finite, and the platform's data model can absorb the domain without contortion. Low-code is excellent for workflow apps, inspection systems, permit platforms, and internal admin tooling. It is a poor fit for high-throughput consumer experiences, deep domain modelling, or platforms that need to evolve faster than the vendor's release cadence.
What would you hand to an agent first?
Bring one workflow. In 60 minutes an AI architect maps where an agent helps, what it needs to reach, and what a first working version would take.