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AksharAI

Agents

Start from an agent that already knows the job.

Each one is a starting point, built on the AksharAI platform. You fit it to your data, your rules and your approvals, and decide how much it may do on its own.

AksharAIFinance copilotAK

Finance copilot

  • Prepare the GSTR-2B reconciliation summary for September 2026.

  • Matched 412 of 438 purchase invoices. 26 need review: 14 missing in 2B (ITC INR 3.8 lakh), 9 with amount differences, 3 with a different GSTIN.

  • Largest gap: Supplier S-008, Rajkot, 5 invoices worth INR 1.6 lakh ITC not yet filed by the supplier. Their GSTR-1 for September is due on 11 Oct.

  • Draft a reminder to supplier S-008 and add the summary to the month end note.

  • Reminder draft and summary saved for review by Anjali Desai, CA. Nothing has been posted or filed.

Representative screen with sample data. Client screens stay private.

In short

What is an AksharAI agent?

An agent is a starting point for one job, such as matching invoices to purchase orders, triaging support tickets or answering HR policy questions. AksharAI has 10 ready agents. Each is fitted to your data, rules and approvals before use, reads only what its task needs, and waits for a person before any action that matters.

Ready agents
10
Two kinds
Copilots and automation agents

Automation agents · 5

Take a task end to end, within limits

An automation agent runs a repeatable task on its own and stops for a person wherever you have set a checkpoint.

Every agent

The same limits apply to all of them

  • Action boundaries

    You decide what each agent may read, draft and do. Anything outside that is refused or handed to a person.

  • Approvals

    Payments, customer commitments and legal wording can all be set to wait for a named approver.

  • Sources shown

    Answers point to the document, record or policy they came from, so a person can check them.

  • Says when it does not know

    When data is missing or unclear, the agent says so and asks a person to fill the gap.

  • Logged

    Every run is recorded: what came in, what the agent did, who approved it.

  • Delivered where people work

    Web, mobile, WhatsApp, email, voice or a widget inside your own app.

Before you choose

What would an agent save on your process, and when would it pay back?

See it on your work

Bring one slow, repetitive process. We will show you an agent doing it.

A working session with someone who builds these every week.

Or get a ballpark proposal in two minutes

What happens next

  1. Step 1A short call about one process and the systems involved
  2. Step 2A demo of an agent working on a version of your task
  3. Step 3A clear view of fit, approvals and what it would take