# AksharAI

> AksharAI is a platform for building AI applications and agents, from copilots for sales, HR and finance to agents that read documents, match invoices and answer customers on WhatsApp. Hosted, private cloud or on premise.

AksharAI is a platform of Code Colonies Private Limited. Contact: consulting@codecolonies.com, +91 97234 99901. Custom builds by the Code Colonies AI team: USD 2 or INR 199 an hour, 150 hour minimum, no advance, pay after acceptance.

## Platform
- [App builder](https://aksharai.com/platform/app-builder): The app builder is where an AI application takes shape: screens, inputs, the steps behind them and what the output looks like. You drag in prebuilt parts, describe rules in plain language, and test with real samples as you go.
- [Logic and workflows](https://aksharai.com/platform/logic-and-workflows): Logic and workflows is the engine behind every app and agent: the order of steps, the decisions between them and who gets the work next. You build it from reusable blocks, keep model costs in check and see exactly why each case went where it did.
- [Agent studio](https://aksharai.com/platform/agent-studio): Agent studio is where you set up an agent: what it knows, what it may do, how it should sound and when it must stop and ask. You test it on real questions in a sandbox and release it only when your team is happy with the answers.
- [UI designer](https://aksharai.com/platform/ui-designer): The UI designer gives your AI application a front end your staff can work in all day. You build dashboards, smart forms, filtered tables and panels that sit inside tools people already use, without a separate design and front end project.
- [Integrations](https://aksharai.com/platform/integrations): Integrations connect AksharAI to your ERP, CRM, accounting software, cloud storage and databases. Agents read what they need and write back only where you allow it, so the work ends up in the systems your team already trusts.
- [Deployment and governance](https://aksharai.com/platform/deployment-and-governance): Choose where AksharAI runs: hosted, in your private cloud, on your own servers or under your own brand. Then set who can use each agent, what data it may touch, how it speaks and which actions it may take, with a log your auditors can read.

## Agents
- [Sales copilot](https://aksharai.com/agents/sales-copilot): The sales copilot pulls a customer's orders, open quotes and past notes into one short brief before a call or visit. It drafts follow up messages and proposals for the rep to check, edit and send.
- [Legal copilot](https://aksharai.com/agents/legal-copilot): The legal copilot compares incoming contracts with your standard positions and flags clauses that differ. It drafts suggested redlines and notes, and your legal team decides what to accept.
- [HR copilot](https://aksharai.com/agents/hr-copilot): The HR copilot answers employee questions on leave, attendance, reimbursements and onboarding using your own policies and each person's records. Anything sensitive or unclear goes to the HR team.
- [Finance copilot](https://aksharai.com/agents/finance-copilot): The finance copilot compares your books with GST portal data and bank statements, and drafts reconciliation summaries and month end notes. Your accountants review the differences and decide what to post.
- [Research assistant](https://aksharai.com/agents/research-assistant): The research assistant reads tender documents, reports and internal files, and writes summaries with a reference to the page each point came from. Your team checks the summary and decides what to act on.
- [Support agent](https://aksharai.com/agents/support-agent): The support agent reads incoming WhatsApp and email messages, answers the routine ones from your order data and policies, and opens a ticket for everything else. Refunds, complaints and anything unclear go to a named person with the full conversation attached.
- [Document extraction agent](https://aksharai.com/agents/document-extraction-agent): The document extraction agent reads scanned KYC papers, claim forms, bills and certificates, pulls out the fields your process needs and checks them against each other. Anything it cannot read clearly, or that does not add up, goes to a named reviewer before it enters your system.
- [Invoice matching agent](https://aksharai.com/agents/invoice-matching-agent): The invoice matching agent reads each supplier invoice, finds the purchase order and goods receipt it belongs to, and checks quantities, rates, GST and the supplier's GSTIN. Clean matches are prepared as purchase vouchers in Tally; differences go to your accounts team with the reason spelled out.
- [IT helpdesk agent](https://aksharai.com/agents/it-helpdesk-agent): The IT helpdesk agent takes requests from staff in chat, collects the details IT always needs, and walks people through common fixes from your own guides. Requests it cannot close become tickets with the right priority, assigned to a named engineer.
- [Approval reminder agent](https://aksharai.com/agents/approval-reminder-agent): The approval reminder agent watches purchase requests, purchase orders and payments waiting for sign off, and sends each approver a short, clear reminder with what they need to decide. When something sits too long, it tells a named person so the work does not stall quietly.

## Industries
- [Healthcare](https://aksharai.com/industries/healthcare): Less paperwork around the patient, with doctors signing off every word
- [BFSI](https://aksharai.com/industries/bfsi): Faster loan files and calmer collections, inside the rules you already follow
- [Manufacturing](https://aksharai.com/industries/manufacturing): Purchase orders, invoices and shop floor questions, handled with less chasing
- [Retail and e-commerce](https://aksharai.com/industries/retail-and-ecommerce): Answer customers on WhatsApp quickly, and keep refunds in human hands
- [Logistics](https://aksharai.com/industries/logistics): Fewer status calls and cleaner paperwork for every consignment
- [Education](https://aksharai.com/industries/education): Help admissions and staff offices keep up, with care for children's data
- [SaaS and technology](https://aksharai.com/industries/saas): Add AI features to your product and your support desk, without building it all from scratch

## Teams
- [AksharAI for sales teams](https://aksharai.com/teams/sales): Less time hunting for context, more time with customers.
- [AksharAI for hr teams](https://aksharai.com/teams/hr): Write the answer to a policy question once and stop repeating it forty times a month.
- [AksharAI for finance and procurement teams](https://aksharai.com/teams/finance-and-procurement): Let the agent match the routine invoices. Keep your accountant on the exceptions.
- [AksharAI for legal teams](https://aksharai.com/teams/legal): First reads and clause checks in minutes, with a lawyer making every call.
- [AksharAI for customer support teams](https://aksharai.com/teams/customer-support): Quick answers for routine questions, and a person for anything that matters.
- [AksharAI for it teams](https://aksharai.com/teams/it): Fewer password tickets. More time for the problems that need an engineer.
- [AksharAI for operations teams](https://aksharai.com/teams/operations): Keep documents, approvals and status updates moving without chasing.

## Templates
- [Template gallery](https://aksharai.com/templates): Onboarding assistant, Leave policy guide, IT helpdesk intake, Proposal copilot, Client query handler, Ticket assignment bot, Expense request assistant, Invoice matching bot, Vendor registration support, Approval reminder agent, Internal FAQ copilot, Report summary generator

## Free tools
- [Agent ROI calculator](https://aksharai.com/tools/agent-roi): Hours and cost an agent could save on one process, against the plan, model and build cost, with the payback period.
- [AI use case finder](https://aksharai.com/tools/use-case-finder): Pick your team and what slows it down. Get the agents and templates that fit.
- [Hours saved calculator](https://aksharai.com/tools/hours-saved-calculator): Tasks a week, minutes each, the share an agent could take, and your team's hourly cost.
- [Agent readiness check](https://aksharai.com/tools/agent-readiness-check): Ten questions on one process. A score out of 100 and the next steps that matter.
- [Cost to build estimate](https://aksharai.com/tools/cost-to-build-estimate): A rough figure for a custom build by our team, in hours at INR 199 with a 150 hour minimum.

## Compare
- [AksharAI or building from scratch](https://aksharai.com/compare/build-from-scratch): When your own engineers should build the whole thing, and when a platform saves you months.
- [AksharAI or a generic AI chatbot](https://aksharai.com/compare/generic-chatbots): What a general chat assistant does well for your staff, and where a business agent is needed instead.

## Guides and articles
- [Choosing your first AI agent: a one page test](https://aksharai.com/resources/choosing-your-first-ai-agent-a-one-page-test): Many first AI projects stall because the wrong process was picked. A one page test helps you choose a task that is frequent, rule based and easy to check, with a person approving the result.
- [Writing a prompt flow your team can maintain](https://aksharai.com/resources/writing-a-prompt-flow-your-team-can-maintain): A prompt that one person wrote in a weekend becomes a problem the day that person goes on leave. Small steps, instructions in plain language and tests that run before each change keep the flow maintainable by the whole team.
- [Connecting an agent to Tally, Zoho and your ERP](https://aksharai.com/resources/connecting-an-agent-to-tally-zoho-and-your-erp): An agent is only useful if it can see your purchase orders, ledgers and customer records. Tally, Zoho and larger ERPs each connect in their own way, and in every case write access should stay narrow.
- [Where a person must approve: designing human checkpoints](https://aksharai.com/resources/where-a-person-must-approve-designing-human-checkpoints): Human review only works when it is placed at the right step and the reviewer has what they need to decide. That means finding those steps, designing the review screen and keeping reviewers alert.
- [Giving an agent your documents without leaking them](https://aksharai.com/resources/giving-an-agent-your-documents-without-leaking-them): Agents become useful when they can read your own documents. They become risky when they show those documents to the wrong person. Permissions, the choice of model provider, personal data handling and leak tests before launch decide which.
- [WhatsApp support agents for Indian customers: Hindi, Gujarati and Hinglish](https://aksharai.com/resources/whatsapp-support-agents-for-indian-customers-hindi-gujarati-and-hinglish): Indian customers write to brands in Hindi, Gujarati, English and every mix in between, often in Latin script. A useful agent handles those languages, looks up orders, follows WhatsApp's rules and hands over cleanly to your support team.
- [Measuring whether an AI agent is worth keeping](https://aksharai.com/resources/measuring-whether-an-ai-agent-is-worth-keeping): Every agent should earn its place. Set a baseline before launch, measure four things each week, count the full cost, and decide at ninety days whether to keep, change or switch off the agent.
- [Running AI on premise or in a private cloud](https://aksharai.com/resources/running-ai-on-premise-or-in-a-private-cloud): Some data should not leave your servers. Hosted, private cloud and on premise deployments differ in control, cost and model quality, and each needs its own hardware, skills and trade offs.
- [Evaluating an AI agent before launch](https://aksharai.com/resources/evaluating-an-ai-agent-before-launch): An agent that looked good in a demo can still fail on the cases that matter. Test it on your own past work, score the results against agreed grades and set the launch bar before anyone relies on it.
- [Prompt injection and safe tools for business agents](https://aksharai.com/resources/prompt-injection-and-safe-tools-for-business-agents): Any agent that reads text from outside, such as customer emails, supplier invoices or web pages, can be fed instructions hidden in that text. Narrow tools, approvals, rule checks and regular log review limit the damage.
- [Choosing a model provider for your agents](https://aksharai.com/resources/choosing-a-model-provider-for-your-agents): There is no single best model. The right choice depends on the task, the languages your users write in, the volume, the speed you need and where your data is allowed to go. Test two or three candidates on your own cases, and design the agent so you can switch later.
- [What it costs to run an AI agent](https://aksharai.com/resources/what-it-costs-to-run-an-ai-agent): The cost of an agent has four parts: the platform, model usage, the build, and the people who review its work. Model usage can be estimated from your own volumes, and review time is the cost teams most often leave out.
- [AI for Tally users: what an agent can and cannot do](https://aksharai.com/resources/ai-for-tally-users-what-an-agent-can-and-cannot-do): Most Indian businesses keep their books in Tally, and most of the repetitive accounts work happens around it. An agent helps a Tally team most with reading documents, reconciling and answering questions from the books. It connects through Tally's own interfaces and leaves posting and payments to people.
- [WhatsApp agents for D2C brands: orders, returns and COD](https://aksharai.com/resources/whatsapp-agents-for-d2c-brands): For many Indian D2C brands, WhatsApp is the main support channel. An agent handles order status, returns and cash on delivery confirmation well. Refunds, damaged parcels and complaints need a person, and the WhatsApp Business Platform rules shape the whole design.
- [HR policy assistants that employees trust](https://aksharai.com/resources/hr-policy-assistants-that-employees-trust): An HR policy assistant can take a large share of routine questions off the HR team, but only if employees trust its answers. That trust comes from a few design choices: the right policy per person, sources shown, privacy, and clear limits.
- [Document extraction accuracy: what to measure and how](https://aksharai.com/resources/document-extraction-accuracy-what-to-measure): Vendors quote accuracy figures for document extraction, but one number hides what matters. Measure extraction on your own documents, field by field, and design the process so the inevitable errors are caught.
- [AI agents, chatbots and RPA: what is the difference?](https://aksharai.com/resources/ai-agents-vs-chatbots-vs-rpa): A chatbot answers questions, RPA repeats fixed steps in software, and an AI agent works through a task using judgement within rules. Most businesses need more than one, each for the work it suits.
- [Retrieval augmented generation (RAG) for company documents, in plain English](https://aksharai.com/resources/retrieval-augmented-generation-for-company-documents): RAG lets an AI model answer from your own documents. The system finds the most relevant passages first, gives only those to the model, and asks for an answer that cites them, so people can check the source.
- [KYC document extraction for NBFCs and banks](https://aksharai.com/resources/kyc-document-extraction-for-lenders): An extraction agent can read KYC documents, pull out the fields, cross check them and flag mismatches. The KYC officer still verifies identity and decides, under the RBI's KYC Master Direction and the lender's own policy.
- [AI ticket triage for support teams](https://aksharai.com/resources/ai-ticket-triage-for-support-teams): AI triage reads each new ticket, works out what it is about and how urgent it is, adds missing details and puts it in the right queue. Support leads set the rules and review the cases the agent is unsure about.
- [AI agents for sales teams: CRM updates, visit briefs and follow ups](https://aksharai.com/resources/ai-agents-for-sales-teams): Sales agents handle the work around selling: logging visits and calls in the CRM, preparing a brief before each visit and drafting follow ups. The rep keeps the conversation, the price and the commitment.
- [Writing a company AI usage policy](https://aksharai.com/resources/writing-a-company-ai-usage-policy): An AI usage policy tells staff which AI tools they may use, what data they may put into them, which outputs need checking and who to ask. A good one is short, plain and reviewed every few months.
- [What an AI IT helpdesk agent can do for your IT team](https://aksharai.com/resources/ai-it-helpdesk-agent): An IT helpdesk agent takes requests in Teams, WhatsApp or email, collects the details IT needs, walks staff through common fixes and raises filled in tickets for the rest. Access and security stay with IT.
- [Why most AI pilots in Indian companies stall after the demo](https://aksharai.com/resources/why-ai-pilots-stall-after-the-demo): A good demo proves very little about whether an AI tool will survive real invoices, real customers and real month ends. Pilots usually get stuck in the same five places, and the work that gets them moving again is ordinary and practical.
- [Low code for AI: what it does well and where you still need engineers](https://aksharai.com/resources/low-code-for-ai-what-it-does-well-and-where-you-still-need-engineers): Low code builders make it possible for the people who understand a process to shape the AI that supports it. They do not remove the need for engineers. Some parts of an AI application suit a visual builder well, and others still need code.
- [The forward deployed model: putting builders inside the business](https://aksharai.com/resources/the-forward-deployed-model-putting-builders-inside-the-business): Most AI projects are built at a distance from the work they change. The forward deployed model puts engineers and strategists inside the team for the length of the build. It rests on two roles and a set rhythm, fits some work poorly, and needs people trained for it.
- [Agents and the DPDP Act: personal data in prompts, logs and outputs](https://aksharai.com/resources/agents-and-the-dpdp-act-personal-data-in-prompts-logs-and-outputs): When an agent reads a borrower's message, looks up a patient record or drafts a reply to a customer, personal data moves through prompts, model calls, logs and outputs. Each of those flows carries duties under the Digital Personal Data Protection Act, 2023 and the DPDP Rules, 2025, and each has practical design choices that meet them.
- [Copilots for finance teams: invoice matching, GST reconciliation and month end](https://aksharai.com/resources/copilots-for-finance-teams-invoice-matching-gst-reconciliation-and-month-end): Finance teams in India spend a large share of each month matching documents, chasing suppliers and reconciling purchase registers with GST data. Three of those jobs suit a copilot, provided each is designed with limits that keep the books under a person's control.

## Company
- [How it works](https://aksharai.com/how-it-works)
- [Integrations](https://aksharai.com/integrations)
- [Security and data](https://aksharai.com/security)
- [Glossary of AI terms](https://aksharai.com/glossary)
- [Full text for AI assistants](https://aksharai.com/llms-full.txt)
- [AI use case worksheet](https://aksharai.com/worksheet)
- [RSS feed of guides](https://aksharai.com/feed.xml)
- [Pricing](https://aksharai.com/pricing)
- [Build with our team](https://aksharai.com/build-with-us)
- [Forward Deployed Professional programme](https://aksharai.com/academy)
- [Partners and white label](https://aksharai.com/partners)
- [About](https://aksharai.com/about)
- [FAQ](https://aksharai.com/faq)
- [Code Colonies](https://www.codecolonies.com)