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Intelligent Agents Built to Support Real Workflows and Business Operations

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AksharAI’s Agents Framework

AksharAI’s Agents framework helps you bring intelligent automation into everyday processes without building complex systems from scratch. These agents are not separate tools. They are fully integrated parts of the AksharAI Platform, ready to work inside the applications you create.

Each agent can assist users, automate tasks, provide contextual guidance, or handle operational actions in the background. Whether you are improving internal workflows or delivering better user experiences, AksharAI agents give you a flexible, reliable way to build intelligent behavior into your software.

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What Are AksharAI Agents?

Agents in AksharAI are configurable, reusable units that perform specific tasks or offer guided assistance. They can:

  • Act as copilots to assist users with actions, inputs, or decisions
  • Function as automation bots to handle repetitive processes
  • Deliver information or prompts at the right moment
  • Work across web, mobile, chat, email, or embedded panels
  • Interact with your backend logic, workflows, and data

Agents are modular. You can configure them once and reuse them across multiple applications. Each agent operates within your defined rules, guardrails, and permissions.

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Core Agent Types in AksharAI

The Agents system is organized into three main types:

Copilots

These are intelligent assistants that help users complete tasks, make decisions, or access structured information inside an application. They are designed for specific functions such as sales, legal, HR, finance, and research.

Automation Agents

These agents perform background tasks such as data extraction, notification sending, request handling, or system navigation. They improve efficiency by reducing the need for manual input and repeated operations.

Multi-Channel Interfaces

Agents can work across several interaction layers including web, mobile, chat, messaging platforms, email, voice systems, and embedded widgets. This allows you to deliver consistent, helpful support across different user touchpoints.

Agent Management Through Agent Studio

AksharAI includes a dedicated Agent Studio that allows you to create, configure, and manage all types of agents. You can define their prompts, data sources, triggers, responses, and logic paths using simple visual tools.

  • Connect agents with existing workflows and UI elements
  • Manage knowledge sources and inputs for copilots
  • Set up guardrails, visibility controls, and action limits
  • Test and fine-tune agent behavior before deployment

All agent configurations are reusable and version controlled.

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Key Benefits of Using AksharAI Agents

AksharAI Agents offer practical advantages that enhance software usability, speed, and intelligence across business functions:

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Better User Guidance

Agents help users navigate complex forms, take the right actions, or access needed information without friction.

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Faster Task Completion

Automation agents can handle repetitive steps in your workflows, freeing up your team’s time for more valuable work.

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Smarter Interactions

By combining prompt logic, data inputs, and decision flows, agents behave in ways that feel intelligent but remain fully explainable.

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Flexible Deployment

Agents can work inside internal apps, customer portals, support tools, or process dashboards. They fit wherever your software needs support or automation.

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Enterprise Ready

All agents operate within your environment, respecting your permissions, data structure, and business logic. No external routing or dependency is required.

Example Use Cases

  • A sales copilot embedded inside your CRM tool that helps salespeople generate offers, answer questions, or prepare emails
  • A notification agent that sends alerts based on workflow triggers such as delayed requests or expired approvals
  • A legal assistant that helps internal teams choose the correct compliance documents or fill in regulatory information
  • A process navigator that guides employees through a multistep operational task, using embedded logic and data inputs
  • A research agent that pulls summary data from approved sources based on internal queries
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