solution 04 / 04

transformation

change the engine without stopping the car.

modernization fails when it's a big bang. we move systems and teams in slices — strangling the legacy piece by piece, keeping the business running, and proving value at every cut-over.

legacy modernizationcloud migrationprocess optimizationchange management
what we deliver

6 capabilities, one accountable team.

each capability can stand alone. most engagements combine three or four, staffed by the same senior people from start to finish.

01

legacy assessment

a system map with coupling, risk, and cost — and the order to unwind it in.

02

incremental modernization

strangler-fig migrations that retire legacy modules without a freeze.

03

cloud migration

rehost, replatform, or rebuild — chosen per workload, with finops from the start.

04

data migration

reconciled, reversible migrations with parallel runs before every cut-over.

05

process redesign

workflows rebuilt around the new system, not the constraints of the old one.

06

change management

training, champions, and adoption metrics so the new way actually sticks.

how it runs

28 weeks from kickoff to handover.

a typical engagement, phase by phase. every phase ends with something running — never just a document.

  1. 01assess3 weeks

    system map, dependency graph, and the migration sequence.

  2. 02pilot5 weeks

    first slice migrated, parallel-run, and cut over.

  3. 03migrate16 weeks

    slice by slice, each one reversible, each one measured.

  4. 04retire4 weeks

    decommission legacy, reclaim licenses, close the loop.

outcomes

what typically moves.

0unplanned downtime during cut-overs
40%typical infrastructure cost reduction
6 wksto the first retired legacy module
typical engagement figures — every project is baselined and measured on its own.
the stack we reach for
  • aws
  • azure
  • gcp
  • kubernetes
  • kafka
  • debezium
  • terraform
  • sap
  • oracle
  • mainframe bridges
applied in

where transformation earns its keep.

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