“AI agents” are heavily hyped — but for Indian businesses the practical question is where they actually deliver versus where the risk outweighs the benefit. Here’s an honest cost-benefit view. (dgm implements osFoundry, a separate company’s platform — dgm is an independent integration partner, not osFoundry. General information, not professional advice.)
What agents are
AI agents carry out multi-step tasks — planning and taking actions (read a request, look up information, update a system) — rather than answering a single prompt. Genuinely useful for the right tasks, but reliability varies and hype outruns reality.
Where the benefit is highest
On well-defined, repetitive multi-step tasks connected to your systems:
- Processing a document through several steps;
- Handling a routine request end-to-end;
- Gathering and summarising information.
The benefit comes when the task is clear enough to be reliable and the agent can act on your systems (see workflow automation).
The risks — and the safeguard
The main risk is errors compounding across steps — a mistake early can cascade — and agents taking consequential actions without oversight. So:
- Human checkpoints for important or irreversible actions;
- Ground the agent in accurate data;
- Limit its scope.
Treating agents as fully autonomous for consequential work is where trouble starts (see governance).
The real cost
Cost includes integration and oversight, not just the model — agents need reliable connections to act, and monitoring. Budget for the full picture (see implementation cost).
How dgm helps
dgm builds agentic automation on osFoundry with human checkpoints for consequential actions, grounded in your data and governed for data control — for a $399 assessment and $3,999/month (INR approximate; 18% GST domestic). We scope agents to reliable tasks, not full autonomy.
General information, not professional advice.