AI workflow automation with approval gates and an audit trail

When do you need an agent rather than a workflow?

A workflow follows rules you can write down in advance. An agent is for work where the input is unstructured and the next step depends on reading it: an email that could be a complaint, an order change or a quote request; a document whose meaning matters, not just its fields. The agent reads it, decides which of your tools to use, and calls them — your CRM, your helpdesk, an internal API.

If your process follows fixed rules, the Workflow Automation Sprint, from ₹14,000 and delivered in up to 7 days, is the faster and cheaper route. An agent earns its cost where reading and judgement are the bottleneck, not where the steps are already obvious.

How do you keep an agent in check?

Three controls are built in. Approval gates stop the agent before risky actions — issuing a refund, changing a customer record, emailing a client — and wait for a person to confirm. An evaluation suite tests the agent against real examples from your business before go-live, so you see how it handles the awkward cases, not only the demo. And the audit log records every decision: what the agent saw, what it decided and which action it took.

What does an agent cost to run once it is live?

The package price covers the build. Once live, the agent calls a large language model through a paid API, and that usage is billed by the model provider according to how much the agent reads and writes. Cost and token monitoring is part of the package, so you can see what the agent is spending and spot a rise before the provider’s invoice does. Which provider and model to use is settled on the scope call.

What is not included?

The agent acts inside the tools your team already uses, so those tools, their licences and any system you do not have yet sit outside this package. Model provider charges are separate, as above. Which tools the agent may call, and which of its actions need approval, are written into the proposal after the scope call.

Two sibling packages are the better fit for narrower jobs. If the main need is answering questions from your documents with citations, the Enterprise RAG Knowledge Assistant, from ₹1,75,000, is built for that. If it is drafting replies for your support team from past tickets, the AI Support Copilot starts at ₹45,000.