Enterprise systems, untangled and moving fast.
Years of acquisitions, custom builds and point solutions leave large organisations with system sprawl, siloed data and delivery that crawls. CodeFacts modernises the estate incrementally, integrates the sprawl behind clean APIs, unifies data across business units and puts governed AI into production at scale.
What's changing in enterprise.
Enterprises carry hundreds of overlapping systems, brittle integrations and data locked inside business-unit silos, so every change is slow, expensive and risky. Boards now expect enterprise-wide AI and faster delivery, yet governance, security and compliance obligations grow heavier each year. The organisations pulling ahead treat modernisation as a continuous, platform-led discipline rather than a one-off programme.
What makes enterprise hard.
The specific, structural challenges we build against — not generic pain points.
Legacy modernisation at scale
Core ERP, mainframe and bespoke systems are costly to run and hard to change without disrupting operations.
System sprawl and integration
Hundreds of apps and brittle point-to-point integrations make every change slow and fragile.
Data silos across business units
Divisions and acquisitions each hold their own data, so there is no consistent, enterprise-wide view.
Slow delivery and change
Heavy processes, shared environments and manual releases stretch delivery cycles into months.
Governance, security and compliance
Access, data residency and regulatory obligations must hold across a large, heterogeneous estate.
Enterprise-wide AI adoption
Pilots stall because there is no governed data, platform or operating model to scale AI safely.
From problem to platform.
Each challenge has an engineering answer. This is how we turn them into working systems.
Costly legacy estate
Incremental, strangler-fig modernisation and re-platforming that retires legacy in stages while operations keep running.
Integration sprawl
An API and event-driven integration layer that replaces brittle point-to-point links with governed, reusable services.
Siloed business-unit data
A unified data platform and product model giving trusted, cross-BU data for analytics, reporting and AI.
Slow, manual delivery
DevOps, CI/CD and platform engineering with self-service environments that cut cycle time and raise reliability.
Governance and compliance load
Security, access and compliance built into the platform — landing zones, policy-as-code and auditability by default.
Stalled AI pilots
An AI platform and operating model — governed data, guardrails and MLOps — that moves AI from proof-of-concept to production at scale.
Systems built for enterprise.
Integration and API platform
Governed APIs and events that untangle system sprawl into reusable services.
Enterprise data platform
One trusted, cross-business-unit source for analytics, reporting and AI.
Cloud landing zones
Secure, compliant foundations with policy-as-code and cost governance.
Delivery and DevOps platform
CI/CD, self-service environments and platform engineering that speed change.
Legacy modernisation programme
Incremental re-platforming of ERP, mainframe and bespoke systems.
Enterprise AI platform
Governed data, guardrails and MLOps to scale AI across the organisation.
The service offerings we bring.
One partner across strategy, AI, engineering, cloud, data and growth — mapped to what this sector needs.
Outcomes we engineer for.
Lower run cost and risk from a rationalised estate
Faster delivery through reusable platforms and automation
One trusted view of data across every business unit
AI in production at scale, governed and secure
Questions we hear.
How do you modernise without disrupting operations?+
We modernise incrementally with the strangler-fig pattern, wrapping and replacing systems in stages so critical operations never stop.
Can you work alongside our internal teams and SIs?+
Yes — we integrate with your engineering, platform and vendor teams, transferring knowledge and leaving reusable platforms behind.
How do you handle enterprise security and governance?+
Security, access control, data residency and compliance are engineered into landing zones and platforms with policy-as-code and full auditability.
Why do our AI pilots keep stalling?+
Usually there is no governed data, platform or operating model to scale on — we put those foundations in so AI reaches production safely.
Where should we start?+
Typically an integration or data foundation, plus one high-value modernisation, that unlocks delivery speed across the wider estate.