LEIT Platform Assessment turns messy discovery into executive-ready decisions. A transcript-first, evidence-backed method runs interviews through an eight-stage agent pipeline and four design tracks, producing traceable findings, friction-cost and ROI calculations, and a prioritised roadmap. Recommendations are tied to source reality, not workshop noise, so leaders can commit with confidence.
Most assessments rely on fragmented notes and opinion-heavy workshops, producing more notes than decisions. We turn interviews into executive-ready outputs.
Transcripts and source materials.
Evidence and findings.
Structured write-ups.
Target-state designs.
Architecture and flows.
Friction-cost and ROI.
Human review and validation.
Executive-ready outputs.
Every finding is mapped to the LEIT platform blueprint, our reference model for what good looks like across the full platform.
Batch, stream, API, and CDC capture.
Scheduling, execution, and pipeline management.
Raw, Curated, and Published layers.
Cleaning, enrichment, and integration.
Shared definitions, context, and ontology.
Generative AI, modelling, and machine learning.
Data share, API, batch, and stream delivery.
Dashboards, notebooks, and self-service.
Metadata, catalogue, policies, quality, and security.
Monitoring, data-drift, and operational readiness.
DataOps, FinOps, and DataSecOps.
Standards, guardrails, and traceability, with human authority.
| Phase | Duration | Focus |
|---|---|---|
| Pre-engagement | 2-4 weeks | Qualify, scope, and SOW |
| Discovery | 5 weeks | Interviews, extraction, and initial findings |
| Four design tracks | 8-12 weeks | Data environment, data layers, technical security, and data governance packs plus merged client volumes |
| Steel thread | 6 months | End-to-end vertical proof |
| Wave 2 / 3 | 12-24 months | Scale to 10-30 use cases |
Executive summary, key insights, roadmap, and a prioritised shortlist.
Modular chapters with friction-cost and ROI calculations.
Findings traced to source.
Days, not months.
ROI-aligned priorities.
A clear path from FDA/FDE to larger programmes.
Quantify platform readiness before committing transformation budget.
Reconcile capabilities and target state across combined estates.
Re-baseline the operating model against compliance and risk needs.
Re-prioritise the roadmap with fresh, evidence-backed findings.
Executive-ready packs with traceable prioritisation rationale.
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