Delivery that holds up under pressure

The challenge

A legacy data infrastructure was blocking regulatory submissions and slowing clinical trial timelines. The program had stalled twice under previous leadership with no clear path to delivery.

What we did

We restructured the program governance, established a phased release plan aligned to regulatory milestones, and embedded a delivery cadence that gave the business visibility at every stage. Cross-functional workstreams were coordinated across IT, clinical operations, and regulatory affairs.

Delivery model

Hybrid · 6 releases

The challenge

A high-stakes migration of core payments infrastructure needed to complete without service disruption to millions of customers across 70+ countries. Timelines were fixed by regulatory commitments.

What we did

We led the end-to-end program from architecture sign-off through to go-live, managing a distributed engineering team across four time zones. Release planning was structured to allow rollback at every stage, and stakeholder reporting was redesigned to give executives real-time confidence.

Delivery model

Agile · 9 releases

The challenge

Twelve regional ERP instances needed to consolidate into a single global platform without disrupting manufacturing output or supply chain continuity. The program had a hard go-live tied to a product launch.

What we did

We designed a phased cutover strategy that sequenced regions by risk profile, established a dedicated change management workstream, and built a real-time delivery dashboard used by the executive team throughout the program. Each phase was validated before the next was initiated.

Delivery model

Waterfall · 4 releases

The challenge

Manual forecasting processes were creating inventory imbalances and increasing delivery costs across a national distribution network. The business needed an AI solution that field teams would actually adopt.

What we did

We led the program from vendor selection through to full deployment, managing integration with existing warehouse management and routing systems. An AI adoption workstream ran in parallel with technical delivery to ensure field teams were trained and confident before each release.

Delivery model

Hybrid · 3 releases