From data foundations to AI‑run operations. We meet clients at their actual maturity — enter at any tier, in any sequence.
Each level is a complete, deliverable engagement in its own right —and each one prepares the ground for the next. Plus one strategic programme for organisations reclaiming control of their application layer.
Foundation
Building the data foundation that makes AI possible —without requiring a commitment to AI now.
Legacy integrations and manual processes are blocking progress. This tier builds the clean, API‑first data layer that makes AI possible later —without committing to AI now. The next step is incremental, never a rebuild.
Assessment → Roadmap → Governance, as the advisory front-end.
Every system addressable by agents and downstream consumers.
Automated checks, alerting, and a data-health dashboard.
Source-agnostic connectors; new sources onboarded in hours.
Real-time pipelines replacing batch and polling.
Moving to AI later is incremental, not a rebuild.
Client success stories
Data Integration & Modernisation
A global automotive manufacturer needed to bring together billions of data points spanning multiple legal jurisdictions, trapped in a legacy-to-legacy pipeline architecture. We unified the fragmented landscape into a single, queryable, API-first data layer — built AI-ready from day one.
Data Integration & Modernisation
A global industrial equipment manufacturer needed to migrate its data from an old system landscape to a new one, repeatably and at volume. We built a conversion engine that processes billions of records with fully configurable transformation logic, turning a one-off migration risk into a repeatable, controlled process.
Data Strategy & Data-as-a-Service
A battery refurbishing company held critical supplier data across disconnected sources, with no way to prove where it came from. We built a modular solution that collects, validates, and traces supplier data with auditable evidence — turning fragmented information into a single, trusted source clients and partners can rely on.
Data Strategy & Data-as-a-Service
For an automotive client, we evolved a high-performance real-time search capability into an LLM-assisted search experience, backed by a clear roadmap for further agent-driven capability.
ENHANCE
AI embedded at the architecture, data, and user-experience layers of every engagement — not bolted on.
No need to replace what works. We apply our AI-Enhanced Solution Framework directly on top — targeted, non-disruptive, one team and one architecture, not a bolt-on AI vendor.
Autonomous agents that monitor, validate and self‑heal data flows.
ML models for dynamic pricing — typical 3‑8% uplift.
Natural‑language dashboards; automated narratives.
LLM‑powered natural‑language query over legacy data.
Asset twins predicting maintenance and failure risk.
Continuous compliance monitoring and anomaly detection.
Client success stories
AI-Enhanced Solutions
An automotive retail client needed to manage pricing and campaigns intelligently across a large, fast-moving inventory. We delivered AI-driven pricing optimisation paired with real-time data-consistency monitoring, replacing manual pricing decisions with continuous, data-driven ones.
AI-Enhanced Solutions
A manufacturing and energy client wanted to move from reactive maintenance to predictive maintenance. We built asset twins that predict failure risk from real-time sensor data, cutting unplanned downtime and giving maintenance teams advance warning instead of surprises.
NATIVE
Systems designed from inception with agents as first-class actors — a structural advantage that can't be retrofitted.
Agents are designed in as first-class actors from day one —in the data model, the API surface, and the workflow logic. Self-diagnosis and self-healing are built in, not added later.
Event-driven, source-agnostic backbone with self-healing agents.
Intelligent incident response and automated knowledge capture.
Users query in natural language; pre-built agents handle known flows.
Enter at Tier 1 or 2 directly; no rework for Tier 0 clients.
Client success stories
AI-Native Platform Development
A global enterprise client needed full visibility into its CO2 impact across a complex, multi-tier supply chain. We built an event-driven data platform — spanning multiple regional data domains on a unified backbone — with self-healing agents that cut new source onboarding from weeks to hours and eliminated an entire category of manual operations.
AI-Native Platform Development
A global vehicle manufacturer replaced its patchwork of regional systems with a single, self-managing, AI-native data platform for global sales. The transformation rested on three pillars: a source-agnostic integration layer with automated onboarding (cutting integration time from weeks to hours), self-healing pipelines, and anomaly detection; an AI-powered usage layer offering natural-language search and ready-to-use agents for cross-system flows like order execution and stock visibility; and an AI-operated support layer handling ticket triage, incident response, and live documentation. Together, architecture, usage, and operations form one unified AI-native system.
OPERATE
Helping engineering and operations teams make the structural shift to AI-native delivery — a working application in months, not a roadmap.
A thorough assessment of your environment, spotting improvements and challenges, getting future ready.
AI infrastructure · Agentic automation · Integration & connectivity · AI-native delivery.
Proactive maintenance and support, with 3‑5 year service and technology roadmaps.
ITSM intelligence · operations & incident intelligence · knowledge & compliance · project & delivery.
Every incident and sprint feeds back into the system automatically.
Client success stories
AI-Native Software Lifecycle Management
A client needed to modernise its SAP-based demand-intake process without a big-bang rebuild, validating the business case at each step. We delivered the transformation in three phases: an AI intake classifier with template pre-fill, then a full operational workflow with automated ticket creation and notifications, then feedback loops, dashboards, and rollout support. The result is a continuously improving process — and a reusable model applicable to similar systems.
OPERATE
Strategic guidance and hands-on operations, working together to keep your technology reliable and your business moving forward.
From maintenance and security to operations and data —we cover every layer your business needs, so you don't have to manage a different partner for each one.
Environment assessments, proactive maintenance, and technical support. 3–5 year service and technology roadmaps.
Compliance assessments, gap analysis, and regulatory roadmaps. Risk assessment, security architecture, and AI-driven monitoring.
One-window IT operations and infrastructure management. Cloud strategy, migration, and management (IaaS, PaaS, SaaS, DaaS).
Rebuilding vendor-locked toolchains as agent-native, owned applications. Parallel 'speedboat' workstreams following a four-phase delivery methodology.
Client success stories
Compliance & Security Services
An energy sector operator running critical infrastructure needed to prove GDPR and ISO 27001 compliance to auditors but had no consistent way to show that policy was actually enforced. We ran a full compliance assessment and gap analysis, then implemented automated audit-trail generation and continuous compliance monitoring — cutting audit preparation from weeks to days and replacing a periodic manual check with continuous assurance.
Compliance & Security Services
A specialised engineering company with a strict on-premise security setup needed to catch data-loss risks early, without replacing its existing SIEM. We built an intelligent agent layer on top of it —learning normal behaviour per user and service, flagging deviations in real time, and detecting attacks mid-sequence, before data leaves the environment. Analysts can now query security data in plain language, and we rolled it out in stages, from detection through analyst-approved triage to guarded automation, keeping a human in the loop throughout.
Maintenance & Support
A supply chain and logistics operator was running a critical platform on ageing infrastructure with no clear view of where operational risk sat, leaving support permanently reactive. We began with a full assessment of their environment and built a joint Service and Technology Roadmap — shifting the client from firefighting incidents to planned, prioritised maintenance, and cutting unplanned incidents significantly within two quarters.
Maintenance & Support
A global automotive retailer's online sales division was running a customer-facing showroom application that had become unstable, denting user confidence and blocking further enhancement. We opened with a short, focused system review — auditing existing documentation, reverse-engineering the codebase to identify core weaknesses, reviewing open demands and known issues, and assessing the current operating model — to produce a prioritised, evaluated list of stability improvements. That fed directly into an ongoing stabilisation, maintenance, and evolution phase: a scrum-based team designing, building, and testing fixes and enhancements against those priorities, running second- and third-line support and incident handling, and setting up a formal SLA and system roadmap agreed with the application owner. The team scales up or down on request as demand changes, so support effort tracks actual need rather than a fixed headcount.
Managed IT Operations Services
A vehicle manufacturer needed reliable, ongoing support for its vehicle data platform without adding permanent headcount. We deliver an integrated service model — our team embeds with the client's internal IT function or operates as an independent managed-services provider — covering end-to-end IT operations, infrastructure management, and application support, tailored to how much the client wants to run in-house.
Managed IT Operations Services
Cloud has been a constant thread across our data integration and platform engagements: helping clients decide what belongs on-premise, in the cloud, or split across both, then carrying that decision through to execution. Across multiple clients we have built cloud strategies, run cloud, on-premise, and hybrid migrations, and taken on the ongoing optimisation and management of the resulting environment — so infrastructure choices stay deliberate as needs evolve, rather than accumulating by accident.
