Case Studies
Software delivery recovery outcomes in 30-90 days
Anonymised examples showing baseline constraints, intervention choices, and measurable outcomes for delivery-critical teams.
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If your roadmap is slipping, we can run a practical diagnosis and produce an execution plan for the next 30-90 days.
Baseline → Intervention → Resultclear transformation narrative
30-90 day horizonmeasurable recovery window
Repeatable operating modeldesigned for handover
Representative outcomes
Logistics quoting workflow
Baseline: Quote turnaround averaged ~2 business days with frequent reconciliation errors.
Intervention: Workflow redesign, automation checkpoints, owner-based exception handling.
Outcome: Quote turnaround reduced to under 4 hours; reconciliation errors down 35%.
Healthcare platform delivery
Baseline: Delivery predictability was unstable across platform and product streams.
Intervention: Governance reset, dependency sequencing, weekly leadership cadence.
Outcome: Release predictability improved from ~58% to ~84% within 8 weeks.
Cloud product acceleration
Baseline: Incident-driven rework and repeated slippage on high-priority releases.
Intervention: Architecture guardrails, WIP limits, execution-focused operating rhythm.
Outcome: Incident rework down 32%; release cycle time improved 29% in 6 weeks.
Detailed case: logistics SaaS delivery recovery
Context: Scale-up logistics SaaS, 22-engineer team, strong demand but weak delivery confidence.
Problem: Hidden cross-team dependencies, late integration failures, and frequent priority churn.
Diagnosis: High replan frequency, unclear ownership of dependency risk, and low visibility on architecture constraints.
Intervention: Weekly delivery governance, roadmap resequencing by risk/impact, and architecture simplification on two high-friction service boundaries.
Outcome: Within 45 days, planning confidence improved and releases moved from quarterly batching toward biweekly increments on priority streams.
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