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AI-Native Transformation Health Check

Your transformation is reporting green. Is it actually going to deliver?

Illustrative program
Project Meridian, S/4HANA
Green
Green
Status as reported to the Steering Committee

17 dimensions, all reported on track

AI does the reading. Experienced operators make the call.

The platform reads every document and interview transcript against all 98 questions, links the evidence behind each score and flags where accounts disagree. Try it below.

Describe a program

Six answers are enough for a first view of where the risk sits. Nothing entered here is stored.

The brief appears here: likely risk dimensions, hypotheses to test, first data requests and interview questions.
Example
Three sources, one question: does the evidence support the reported status?

    Seventeen dimensions, four clusters, 98 evidence-backed questions.

    Every program is scored against the same framework, from scope and financial control through to cutover, hypercare and the IT operating model. Select a dimension to see what the assessment tests.

    Run on ValueOS, Alysian's platform for technology value.

    The Health Check is delivered through a purpose-built module, so evidence, interview testimony and scoring sit in one place and the readout is produced from the same data. Screens below show an illustrative engagement.

      ValueOS / Transformation Health Check / Atlas Logistics
      Select the screen to enlarge

      The readout: where it stands and what to do next.

      Illustrative results for Atlas Logistics (fictional), an S/4HANA build on a €48m, 22-month program.

      2.5/5
      Overall health, weighted to the risks under test. Amber: intervention required.
      €4.1m
      EBITDA benefit deferred by 1.9 months of estimated slip
      €8-13m
      Run-rate benefits at risk (30-50% of a €26m case) if data and change are not fixed
      €4.2m
      Program budget at risk at a €2.2m monthly burn

      Top hotspots

      The three that matter most for this view. Select one to see the evidence.

          Atlas Logistics, Project Meridian and all figures on this page are illustrative. Budget at risk is the monthly burn multiplied by estimated slip; deferred EBITDA is the annual benefit case divided by 12, multiplied by the same slip. PE benchmarks are indicative and are calibrated against program data in each engagement.

          Clear answers in 5-15 days, scaled to the program.

          1

          Mobilize

          Days 1-2

          Agree program context and the risk hypotheses to test. Issue a prioritized data request.

          2

          Assess

          Days 3-10

          Review program evidence with AI assistance. Interview leaders on the client and SI sides.

          3

          Analyze

          Days 11-14

          Score all 17 dimensions, triangulate conflicting accounts and size the value at risk.

          4

          Readout

          By day 15

          Present the health scorecard, root causes and a 30/60/90 recovery plan to sponsors.

          Time from the team

          About 11 hours

          Of client leadership time across 12 interviews, plus SI sessions. The review runs alongside delivery.

          How data is handled

          Documents are processed in Alysian's secure environment and are not used to train AI models.

          Independence and fee

          Fixed fee, fixed scope: 10-15 days, or 5-7 days for programs under €10m. Recommendations do not assume Alysian delivers the recovery.

          Typical outcomes.

          Sponsor-backed manufacturer, ERP

          Reported green for six months; go-live protected by re-planning data migration and testing.

          Situation
          €35m S/4HANA program in build. SI milestones on track; business readiness not tracked
          Found
          Data migration and testing critically behind; €5m of backfill and double-run outside the budget
          Outcome
          Go-live held within six weeks of the original date against a projected five-month slip; about €8m of overrun and deferred benefit avoided
          Sponsor-backed carve-out, separation program

          TSA exit at risk; remediation landed in time to exit on schedule.

          Situation
          TSA end date approaching. Workstreams reporting green, with no integrated exit plan
          Found
          Critical path through infrastructure, data separation and application cutover not owned; exit readiness not tracked
          Outcome
          Remediation executed ahead of the TSA end date. A 1-3 month TSA extension avoided, worth €1-3m

          Know where you really stand in 1-3 weeks.