01 / AI Agents & Workflow Automation

AI agent development services for support, operations and sales teams.

AI agents that handle support tickets, documents, research and back-office work for you, and ask a person when they are unsure.

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4 to 8 weeks · fixed price after a one-week discovery

Fig. 01 / How a customer support agent worksReference pattern

INNew support ticket

AIAgent reads, finds the answer, writes a reply

OUTTicket resolved in your helpdesk

not sure, send to a person

Every answer cites its source, and anything uncertain goes to a person

What we build

What you get: specific deliverables, not a list of capabilities.

01Customer support agentReads every new ticket, works out what it is about, writes a reply from your help articles and either sends it or passes it to your team. You decide how confident it must be before it replies on its own.

02Document processing agentReads invoices, claims, KYC forms and contracts, pulls out the details, checks them against your rules and enters them into your system. Anything unusual goes to a person.

03Sales research agentGive it a company name and it returns a short briefing: what they do, recent news, their software, likely needs and a first email draft for your team to edit.

04Internal knowledge assistantA chat tool over your policies, manuals and data that respects who is allowed to see what, so a new hire gets the same answer a senior person would give.

05Scheduled back-office automationsAgents that run on a schedule or a trigger to reconcile records, chase missing documents, send reminders and flag problems, replacing the spreadsheet someone updates every week.

What is AI workflow automation?

AI workflow automation means using AI agents to do repetitive knowledge work for you: answering support tickets, processing documents, researching leads and keeping records up to date. The agent reads, decides and acts in your existing software, and hands anything unusual to a person.

We build agents for the tasks that eat your team's week, starting with the one where the savings are easiest to measure. Every agent comes with a test set of real examples, a monitoring dashboard and a clear route to a human.

How an AI agent is built

Fig. 01 / How a customer support agent worksReference pattern

INNew support ticket

AIAgent reads, finds the answer, writes a reply

OUTTicket resolved in your helpdesk

The AI model is one box in the middle on purpose. Around it sit the parts that make an agent safe to run: permissions for each action, search over your own documents, a confidence check, and a hand-off to a person with the draft attached.

Our AI agent development process

Discovery, week 1. We map the workflow with the people who do it today, collect real examples, and agree on what a good result looks like. You get a fixed-price plan.
Prototype, weeks 2 to 3. A working agent on your real data, scored against the examples. If the results are not good enough, we tell you.
Build, weeks 4 to 8. Connections to your systems, permissions, monitoring, the hand-off to a person, and weekly demos with your team.
Run. A monthly review and improvements on a retainer, or a clean handover with documentation and the test set.

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Frequently asked questions

Common questions about AI Agents & Workflow Automation.

What is an AI agent?

An AI agent is software that reads a request, decides what to do, and then does it inside your systems, for example replying to a ticket or updating a record. Unlike a chatbot, it takes actions, and unlike a normal automation, it can handle requests it has not seen before. When it is not sure, it asks a person.

How do you stop an AI agent from doing something it should not?

Every action the agent can take is a separate permission. Anything that cannot be undone, such as a refund, a deletion or an email to a customer, either needs a confidence score above a level you set or a person's approval. The agent logs every step, so you can always see why it did something.

What happens when the agent is not sure?

It hands the task to a person, with its draft answer and reasoning attached. That is usually faster for your team than starting from scratch. You set the confidence level and can change it at any time.

Which software can AI agents connect to?

Anything with an API or a database we can read: helpdesks, CRMs, ERPs, Gmail and Google Workspace, Slack, WhatsApp, spreadsheets and your own internal systems. If a tool has no API, we build a small connector first.

How do you measure whether the agent works?

Before we build, we collect real examples with known correct answers and measure how the job is done today. The agent is scored against those examples every time it changes, so the decision to go live is based on a number, not a demo.

How much does AI agent development cost in India?

Most agent projects with AppWizards take 4 to 8 weeks. We give a fixed price after a one-week discovery, once we know the workflow, the systems involved and the volume.

Related AI services

02Custom LLM & Generative AI AppsAI assistants, chat over your documents and copilots inside your tools, built on large language models and tested against real examples before launch.03AI Integration for Existing ProductsAdd AI search, chat, summaries and recommendations to your existing app, without rebuilding it and without breaking what works.

Next step

Tell us what you want to build. We will tell you what it costs and how long it takes.

A free 30-minute call with an engineer, not a salesperson. You leave with a clear plan, a price range and an honest opinion on whether AI is the right tool for the job.

Book a free AI strategy call WhatsApp us+91 93998 98342 Or write to us contact@appwizards.in