Agentic AI · Examples
Where agents pay back first
Three workflows where agents typically pay back early. Each one shows where people stay in the loop.
Example 1
Invoice exceptions
The agent matches purchase order, goods receipt and invoice, resolves routine mismatches and prepares a summary for anything above your tolerance. Finance approves every write-off and supplier change.
Example 2
IT incident triage
The agent groups related alerts, identifies the likely cause from runbooks and change history, and drafts a fix. An engineer reviews and approves any change before it runs.
Example 3
Employee onboarding
The agent creates accounts, orders equipment and schedules training from the HR record. The line manager approves access levels before any system is opened.
AI example · Reference build
A personal financial advisor that plans before the loan
AI helps a family see its whole financial picture early. A rules engine does the maths, and a registered adviser approves the advice.
Explains the plan
Turns a full cash-flow plan into plain language the family can check, line by line.
Answers what-if questions
Runs questions like "what if we delay the car?" through the rules engine and explains.
Spots gaps early
Reads the plan against coming costs and flags a shortfall months before the money is due.
Drafts, never decides
Prepares product suggestions for a SEBI-registered adviser, who approves or rejects them.
- Degree fund planned for 2037
- ₹46.6 lakh
- Monthly gap found and closed
- ₹7,600
- Car loan interest avoided
- ₹2.87 lakh
Figures are worked from a sample household in the case study. Not a client result.
Read the full case study