// Built_For_Whats_Next

Platform modernisation & AI enablement

Platforms built for what comes next. We assess, re-architect, and deliver modernisation programmes, including migrations, legacy re-architecture, and the integration foundations AI capabilities need to operate reliably.

Talk to an engineer

direct conversation, answered within 4 business hours

// The_Situation

Modernisation pressure rarely arrives politely, and it rarely arrives alone: one of these is enough.

A migration deadline, such as when the vendor is moving your platform to the cloud and the clock is not yours.

Legacy still in production. Think systems the business depends on, built for a different decade, resisting every change.

Data residency and security obligations, the kind that rule out the default cloud path and demand real architecture.

AI ambitions waiting on foundations, with the integration groundwork, data access, and governance that most existing stacks don't yet have.

These rarely fit within a single team's bandwidth, and they compound. We cover the full range, from untangling legacy landscapes to building the platform foundations that let new capabilities operate reliably in production.

// Not_Lift_And_Shift

Modernisation as engineering, not lift-and-shift

Moving a system is the easy part. What lift-and-shift misses is everything that made the platform hard in the first place: code that needs refactoring, not copying; integrations that need rewiring, not re-pointing; architecture decisions that were right ten years ago and wrong now.

Our modernisation engagements treat the migration as an engineering programme: assessment first, target architecture defined, phased delivery that keeps the business running throughout. The output isn't the old system in a new place. It's a platform that supports what the business does next.

// Current_Concrete_Instance

Platforms we engineer today

Each platform is a self-contained capability. Future waves sit as additional cards. The practice behind them doesn't change.

Adobe

AEM Cloud & on-premises engineering

Full AEM engineering capability across both deployment models.

AEM as a Cloud Service

Greenfield implementations and ongoing platform engineering as much as migrations. When migration is the path: code refactoring, integration rewiring, content migration, and architecture modernisation, end-to-end.

AEM on-premises

The same depth. Demand here is real and growing where data residency, regulatory, or security constraints prevent full cloud adoption. Modernisation doesn't always mean cloud, and we don't pretend otherwise.

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// Next_Wave

The next wave slots in here. Ask, and yours is next on the list.

// Foundations_Before_Features

AI enablement starts with foundations before features.

The pressure to put AI capabilities into production is universal. The prerequisite work is not glamorous: integration foundations, clean data access, security and governance that survive an audit. That's platform engineering, and it's the difference between an AI pilot and an AI capability.

Our own delivery is AI-augmented: a proprietary development accelerator, in production at a major financial institution. We build AI-ready platforms as a team that ships AI-assisted work daily, not as observers of the trend.

// When_The_Scope_Changes

When the assessment finds more than a migration

Some modernisation programmes discover, part-way in, that the previous build was carrying more structural risk than anyone knew. When the assessment finds that, we say so, with evidence, and the engagement can extend into project stabilisation: root-cause re-architecture under the same team, without restarting procurement or losing momentum.

Project stabilisation ↗

// Proof

Dozens of complex integration and platform engagements across financial services, pharma, retail, and manufacturing.

Reference calls available under NDA.

// Low_Commitment_Start

Engagement model

Assessment can be engaged standalone, a defined-scope architecture and platform review with a written, evidence-based result. Delivery follows as a phased, milestone-based programme, fixed price or time-and-materials by profile. Typical mobilisation: two to three weeks.

The platform question isn't where to move. It's what the business needs it to carry next.

Talk to an engineer

Response within 4 business hours.

// Not_Quite_Your_Situation

Project stabilisation

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a programme already underway is in difficulty.

High-stakes delivery

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the project hasn't started and must not go wrong.

For partners

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you're delivering a migration for a client of your own.