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Quick reference for each ADLC phase with key activities.

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Phase 1: Prepare APIs and data

Set up data sources, APIs, and MCP servers:
  • Configure MCP servers (banking domain or custom)
  • Set up vector database for RAG (if needed)
  • Document and expose APIs
Use pre-integrated banking MCPs. See Platform architecture.

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Phase 2: Build agents

Implement your agent with framework, tools, and knowledge:
  • Choose framework (Agno, LangChain, etc.)
  • Code agent logic and instructions
  • Connect tools (MCP servers or APIs)
  • Set up RAG if needed
  • Create FastAPI endpoints
Start with starter kits for pre-configured templates.

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Phase 3: Evaluate agents

Test performance, safety, and quality before deployment:
  • Run unit tests
  • Evaluate with LLM judges (Langfuse)
  • Human review for complex cases
  • Red teaming (security tests)
  • Measure metrics (latency, cost, accuracy)
Never skip evaluation. Agents must pass safety checks before production.

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Phase 4: Run agents

Deploy to production and expose via APIM:
  • Deploy via CI/CD (auto on merge) or Helm
  • Configure APIM endpoint
  • Set up monitoring dashboards
  • Configure alerts
See CI/CD workflows for automation details.

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Continuous: Monitor and govern

Ongoing monitoring, security, and compliance: Monitoring:
  • Track performance (latency, cost, errors)
  • Review traces for issues
  • Set up alerts (PagerDuty, Grafana)
Governance:
  • Enforce guardrails (AI Gateway, Nemo Guardrails)
  • Run security scans regularly
  • Periodic red teaming
  • Compliance audits

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Next steps