Modernization, AI-enabled operations, enterprise integration, and the multi-year program execution that turns transformation strategy into shipped systems. Often delivered in partnership with management consultancies.
Mainframes and decades-old systems still run core operations at many large organizations, and replacing them is as much a risk-management problem as an engineering one. We move these systems onto modern foundations in phases, keeping the old and new running in parallel and cutting over only once each step is verified. Data migration is handled with the same care, validated, reconciled, and reversible, so nothing is lost in the move.
There's real value in applying AI to operational work: triaging cases, processing documents, supporting decisions, but in an enterprise it has to come with oversight. We build these systems with a person in the loop where judgment matters, and with the governance, audit trails, and explainability that compliance and risk teams require. The aim is to take routine load off people without handing over control of the outcome.
Most enterprises don't have a system problem so much as a connection problem: ERP, CRM, finance, and a long tail of vertical tools that don't talk to each other. Integration is the work of making them operate as one, through a real architecture rather than another layer of point-to-point glue. We connect systems with API-led and event-driven patterns, and put master data management in place so the same record means the same thing everywhere.
The software that runs a business internally is often the most neglected: spreadsheets stretched past their limit, or off-the-shelf tools that don't quite fit. Custom internal tools close that gap: workflow and case-management systems, operations dashboards, and back-office applications built around how a team actually works. Unglamorous software, but often where a surprising amount of time and error is hiding.
Large transformation programs usually don't stall on strategy. They stall on execution. We provide the engineering side of these programs, often working alongside a management consultancy that owns the strategy and change management while we own the build. That means planning and sequencing the technical work, coordinating across teams and vendors, managing risk across phases, and handing over cleanly at the end. The split of responsibilities is set per engagement; the shape below is typical.
Few systems live in one layer. The work here usually connects to the disciplines around it.
If a large program is stalling on execution, or an aging system is holding the business back, we can own the engineering and move it forward in phases.
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