Digital Transformation You Can Actually Ship — Not a Slide Deck.

Engineering-led transformation with four pillars: legacy system modernization (incremental, strangler-fig — not rip-and-replace), systems integration and data unification, AI-powered automation, and cloud/DevOps modernization. The distinction is that we build and ship the transformation rather than just advising on it — our “consulting” is an engineering team scoping the actual build and then writing the code. We’re a software firm with 15+ years and 50+ production projects, so the deliverable is working software in production, not a maturity assessment.

A management consultancy delivers strategy — a roadmap, a maturity model, a deck — and then hands execution to someone else. We’re an engineering firm: we scope the build and ship it. That means strategy and delivery come from the same team, so nothing is lost in the handoff between the plan and the code — which is exactly where most transformations stall. We stay on the “build it” side deliberately; we don’t do change-management or operating-model consulting, we modernize systems, integrate stacks, and automate workflows.

No — and we usually advise against it. We modernize incrementally using a strangler-fig approach: build the new alongside the old, migrate one slice at a time, and keep the business running throughout. That de-risks the work, delivers value early, and avoids the all-or-nothing cutover that makes rewrites so dangerous. We modernize the components that matter first and retrofit tests and observability so change stops being a gamble.

AI is the automation layer of a modern transformation — taking the repetitive reading, routing, and updating off your people, with a human in the loop on anything consequential. We wire AI into the workflows with clear ROI, grounded in your real data and integrated with your systems of record. If the transformation is mostly an AI build, start at our AI Development hub and the AI Agents spoke; this page covers the modernization and integration engineering around it.

Yes — it’s a strength. We bring HIPAA, GDPR, and KBV delivery experience and architect compliance in from the start: encryption, data residency (region-locked, on-prem, or private cloud), access control, and auditability by design. We’ve modernized and integrated at scale in healthcare (Martti, across 4,000+ hospitals) and finance (Eska), where “just move it to the cloud” triggers exactly the residency and compliance questions we’re used to answering. See our clinical work at clinical AI.

It depends on scope and how much you tackle at once. Because we work incrementally, most engagements start with a focused first phase — one modernization, integration, or automation with clear ROI — scoped as a fixed-price deliverable or a dedicated team, then expand as value is proven. The main cost drivers are the state of your legacy systems, the number of integrations, the compliance requirements, and how much AI automation is involved. We give you a firm estimate and a prioritized build plan after a scoping call — not an open-ended retainer.

With a scoping call and a small, high-ROI first phase — not a year-long program. We identify where modernization, integration, or automation pays back first, ship that slice, and expand from proven results. It de-risks the investment and gets value into production early.