Pilot → Production Playbook

  • Published on Jan 23, 2026
  • 1 minute(s) read
  • MR
  • EB
 Prev Next

# Pilot → Production Playbook

Enterprises often succeed with AI pilots but struggle to scale them into production. AI Fabrix provides a structured playbook to move from small experiments to enterprise-grade adoption — without losing compliance, cost control, or governance.

Table of Contents

  1. Phase 1: Pilot Setup
  2. Phase 2: Validation
  3. Phase 3: Expansion
  4. Phase 4: Enterprise Production
  5. Key Success Factors
  6. Next Steps

Phase 1: Pilot Setup

  • Deploy Fabrix in a controlled environment (single department or use case).
  • Focus on one high-value but contained scenario (e.g., internal knowledge assistant).
  • Enable Miso control layer from day one to ensure governance and audit coverage.

Phase 2: Validation

  • Define and track KPIs from the ROI & KPI Library (time-to-production, adoption, compliance coverage).
  • Validate that connectors (e.g., SharePoint, Teams, CRM) operate with metadata-aware retrieval.
  • Confirm cost alignment with projected budgets to prevent scaling surprises.

Phase 3: Expansion

  • Extend Fabrix to additional departments or workflows.
  • Reuse governance and policy packs to ensure consistent compliance.
  • Add more connectors and metadata enrichment as new systems are brought in.
  • Train adoption champions within business units to accelerate uptake.

Phase 4: Enterprise Production

  • Transition to multi-region scaling using Azure Front Door and autoscaling infrastructure.
  • Promote environments Dev → Test → Prod under Miso policy-as-code.
  • Enable observability and cost telemetry to ensure long-term sustainability.
  • Support large-scale user adoption through integration with Teams or Slack as chat interfaces.

Key Success Factors

  • Governance-first: Start with compliance and policy packs during pilots — don't retrofit later.
  • Measurable outcomes: Track KPIs consistently at every stage.
  • Scalable foundation: Use the same in-tenant deployment model from pilot to production.
  • Predictable economics: Keep spend tied to subscription tier + Azure billing.

Next Steps

[[PLACEHOLDER: Add detailed checklists and customer success blueprints as reference material.]]

This playbook ensures AI adoption with Fabrix is not just experimental, but operationally sustainable across the enterprise.