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Engagement model

Digital Transformation
built around the outcome.

We partner with mid-market and enterprise teams to modernize legacy software estates - replacing monoliths with cloud-native services, retiring brittle integrations with event-driven architectures, and embedding AI where it actually changes the business. Every transformation begins with an honest assessment: what to keep, what to replace, what to retire. The work then runs as parallel value streams, so business outcomes ship every quarter, not at a five-year finish line.

Monolith to cloud-nativeLegacy integrationsAI augmentation
Active engagements

Digital Transformation brief

End-to-end modernization for legacy platforms - from monolith to cloud-native and AI-augmented.

3–4x

Improvement in deployment frequency post-transformation

50–70%

Reduction in legacy infrastructure spend

< 24 mo

Typical time from kickoff to fully retired monolith

Best fit when

  • Mid-market or enterprise team with 5–15-year-old codebase
  • Pain in shipping speed, integration brittleness, or onboarding new engineers
  • Mandate from leadership to modernize over 12–24 months
How it works

The four pillars of digital transformation.

Discovery & assessment

Code, infra, integration, and data audit to produce a transformation roadmap with clear value streams and dependencies.

Strangler-fig migration

Incrementally replace monolith capabilities with cloud-native services behind a stable API gateway - no high-risk big-bang cutovers.

Event-driven core

Domain events, message broker (SNS/SQS, Kafka, or EventBridge), and choreographed services to replace point-to-point integrations.

AI augmentation

Where it moves the metric: copilots for internal ops, RAG for knowledge work, document intelligence for paperwork-heavy flows.

Engagement flow

How a typical digital transformation engagement runs.

01

Discovery (4–6 weeks)

Code + infra + data audit, roadmap, ROI model, and a green-light playbook for streams 1 and 2.

02

Stream-by-stream delivery

Senior squads run 8–12 week value streams in parallel, each delivering a measurable business outcome.

03

Quarterly governance

Steering committee, value-realization tracking, and roadmap re-prioritization based on what shipped.

04

Knowledge transfer & exit

Architecture docs, runbooks, and a 60-day overlap with your in-house team for full ownership transfer.

Best fit

When this engagement model wins.

  • Mid-market or enterprise team with 5–15-year-old codebase
  • Pain in shipping speed, integration brittleness, or onboarding new engineers
  • Mandate from leadership to modernize over 12–24 months
  • Budget for parallel value streams (typically $500k+ annual)
Frequently asked

Digital Transformation engagement questions.

Do you require we go all-cloud?

No. We use cloud where it makes sense and keep on-prem or hybrid where regulation or data gravity demands it. Pragmatic over dogmatic.

Will this disrupt the business during migration?

No - that is the whole point of strangler-fig. We migrate behind a stable API gateway so end users see no change while the underlying system is replaced incrementally.

How do you handle data migrations?

CDC (Change Data Capture) with Debezium, dual-write patterns, and reconciliation jobs. We never do high-risk batch cutovers without a fall-back path.

Can you upskill our team?

Yes. Pair-programming, ADRs, and end-of-stream knowledge transfers are standard. About 60% of our transformation clients reach self-sufficiency in 12–18 months.

Let's talk

Have a product idea or a system to scale?

Tell us what you're building. You'll hear back within one business day - from a senior engineer, not a sales rep.

  • Free 30-min discovery call
  • Fixed-scope or T&M engagements
  • NDA on request - first reply within 24h