Agentic AI
Agentic Workflow Orchestrator
An AI agent that plans multi-step operational tasks, calls internal tools and APIs, and validates results before acting.
Schema-typed
Tool call validation
Validator-first
Action gating
Per-step
Traceability
Architecture
Hover or tap any stage to see its role in the pipeline.
Data flow
The request enters the agent runtime, the planner produces an ordered step list, each step resolves to a registered tool with a validated argument schema, results feed forward as typed state, and a validator gates the final action. Every step is written to an execution trace.
Problem statement
Operational requests required chaining several systems together manually — lookups, validations, record updates and notifications — which was slow and inconsistent.
Business objective
Automate multi-step operational workflows with an agent that reasons over a task, selects the right tools, and never takes an irreversible action without validation.
Solution overview
A planner-executor agent with a typed tool registry, deterministic validators between steps, retry and fallback policies, and a full execution trace for every run.
AI / ML approach
Task decomposition into a plan, tool selection with schema-validated arguments, execution with bounded retries, and a validator gate before any write operation.
Model / LLM used
Tool-calling LLM with structured output schemas
Technology stack
PythonLangChainFastAPIREST APIsRedisDocker
Key capabilities
- Task planning and decomposition
- Schema-validated tool calling
- Deterministic validation gates
- Retry, fallback and bounded step budget
- Full execution traces for audit
Evaluation approach
- Scenario suite covering happy path, ambiguous input and tool failure
- Plan-quality review against expected step sequences
- Guardrail tests for unauthorised or irreversible actions
Challenges
- Agents looping on ambiguous instructions
- Hallucinated tool arguments
- Silent partial failures across chained systems
Solution decisions
- Bounded step budget with escalation to a human when exceeded
- Strict argument schemas rejected before execution rather than after
- Idempotent tool design so retries cannot double-write
Business impact
Replaced brittle manual chains with an auditable, policy-bounded automation layer that fails safely instead of guessing.