EnterpriseAdvanced

Enterprise AI Integration

Deploy AI capabilities with enterprise security, compliance, and scale requirements

8-16 weeks
5-10 people
6 tools
Key Tools
Azure OpenAIDatabricksSnowflakeTectonWeights & BiasesLangfuse
Implementation Steps
  1. 1

    Set up Azure OpenAI for enterprise-grade LLM access

  2. 2

    Integrate with existing data platforms (Databricks/Snowflake)

  3. 3

    Implement SSO and role-based access control

  4. 4

    Set up data residency and compliance controls

  5. 5

    Create feature store for ML features with Tecton

  6. 6

    Implement comprehensive audit logging

  7. 7

    Set up disaster recovery and failover

Expected Outcomes
  • Enterprise-compliant AI infrastructure
  • Integrated with existing data stack
  • Scalable and reliable AI services
  • Full audit trail and compliance
Pro Tips
  • Involve security team early
  • Plan for data classification requirements
  • Build in redundancy from the start
  • Create clear escalation procedures
All PlaybooksExplore Tools