Agentic AI in Finance: 10 Use Cases with Approvals and Controls
Ten agentic AI use cases in finance and banking, how finance agents work, how to choose the level of autonomy, and the controls…
Darshil HirparaENGINEERING BLOG
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18 articles in AI Agents & MCP
Darshil Hirpara
Agentic AI in Supply Chain: Use Cases Across Planning, Procurement and Warehousing
How agentic AI works in supply chain: use cases from demand sensing to logistics exceptions, architecture, a worked example, autonomy and approvals, data…
Harshad Patel
The Agent Development Lifecycle (ADLC): From Use Case to Governed Production
The eight phases of the agent development lifecycle, autonomy levels, outputs and owners by phase, and the governance that keeps AI agents reliable…
Harshad Patel
Is Your Business Ready for AI Agents? A 40-Point Enterprise Readiness Assessment
A practical 40-point AI agent readiness checklist across eight areas, with a scoring guide, interpretation bands and fixes for the most common gaps.
Paresh Purohit
AI Agent Development Cost in 2027: Build, Run and Governance Estimates
Indicative 2027 cost bands for building AI agents, how to price an agent per task, and the governance costs most estimates leave out,…
Darshil Hirpara
Voice AI Agents Architecture: Telephony, Streaming ASR, LLM and Text-to-Speech
Design voice AI agents with telephony, streaming recognition, LLM orchestration and speech output. Includes interruption handling, tool controls, handoff and release tests.
Hetal K
LangGraph Persistence and Checkpointing: Building Resumable AI Workflows
Build resumable LangGraph workflows with checkpoints, interrupts, durable storage, thread authorization and safe recovery from replay and uncertain writes.
Hetal K
Designing Deterministic vs Autonomous AI Workflows: A Decision Framework
Choose deterministic workflows, bounded AI steps or autonomous agents using a decision matrix for repeatability, cost, auditability and business risk.
Paresh Purohit
AI Agent Observability: Tracing, Tool Failures, Cost and Reliability Metrics
Monitor AI agents with task traces, tool failure categories, reliability objectives, cost reconciliation and a privacy-aware troubleshooting playbook.
Harshad Patel
Multi-Agent Orchestration Patterns: Supervisor, Router and Hierarchical Teams
Compare supervisor, router and hierarchical multi-agent patterns, with delegation contracts, execution budgets, failure recovery and a practical selection checklist.
Mansukh Marakana
AI Agent Memory Architecture: Short-Term, Long-Term and Semantic Memory
Design scoped AI agent memory with thread state, durable facts and semantic retrieval. Plan provenance, tenant isolation, corrections and forgetting.
Vimisha K
Human-in-the-Loop AI Agents: Approval Workflows, Escalation and Audit Trails
Design AI agent approval workflows with exact action review, expiry, escalation, duplicate-safe execution and an auditable decision trail.
Hetal KLet’s plan your next step
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