Audit-Tech Platform AI Advisory Sprint

The product had strong domain value but needed enterprise-grade readiness: data strategy, security posture, and an AI roadmap tied to real user workflows. The company was preparing for enterprise pilots with strict requirements on auditability and privacy.

AI AdvisoryAudit TechRoadmapGoogle CloudGenAIPythonData Contracts

Client Type

High-Growth Audit-Tech Company

Region

India / Middle East

Engagement Type

AI Advisory + AI Platform Enablement

Duration

10–14 weeks (advisory sprint) + follow-on support

Role

AI advisory lead for roadmap, platform readiness, and enterprise guardrails

AI Advisory Roadmap

What We Delivered

  • AI roadmap aligned to top 5 audit workflows (test of details, evidence review, anomaly detection, customer support, summaries)
  • Reference architecture for AI enablement (data pipeline, retrieval, model services, governance)
  • Security and privacy checklist for enterprise onboarding (roles, logging, retention)
  • MVP backlog for 'next-gen AI features' with acceptance criteria and measurable outcomes
  • Pilot readiness pack: demo scripts, KPI definitions, and rollout plan

How We Delivered

  • Ran discovery workshops with auditors, product, and engineering to map workflows
  • Defined data contracts and minimum metadata standards for audit evidence
  • Created 'AI feature gates' to prevent unsafe outputs and enforce traceability
  • Established evaluation protocol (precision/recall where applicable, human review steps)
  • Built a delivery plan that separates MVP, pilot hardening, and production controls

What Made It Hard

  • Balancing speed (timelines) with enterprise requirements (controls, traceability)
  • Limited labelled data; required practical evaluation approach and human-in-the-loop design
  • Avoiding over-automation in high-stakes audit decisions; required clear decision boundaries

Results and Impact

Strategic Roadmap

Reduced ambiguity in roadmap: 12 AI epics prioritized with effort and dependency mapping. Created measurable KPIs for pilots.

Compressed Timeline

Pilot timeline compressed by ~4–6 weeks due to clarified scope and acceptance criteria.

Enterprise Readiness

Improved enterprise readiness: defined roles, logging, and data retention controls for audits.

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