AI and automation

AI agent development for real business workflows

Agents go beyond chat. They read a request, plan the steps, use your tools and finish the job: reconcile payments, prepare quotations, follow up leads or compile reports, with your team approving anything that matters.

What is an AI agent?

An AI agent is a program that uses a language model to decide which steps to take toward a goal and then carries them out by calling tools such as databases, APIs, browsers or email. Unlike a chatbot, which only replies, an agent acts, and a well designed agent asks for approval before actions with real consequences.

What our ai agent development covers

Autonomous agents that research, fill forms, update records and complete workflows across your tools.

Tool use

Agents call your APIs, query databases, read mail and update spreadsheets through secure connectors.

Planning and memory

Multi step reasoning with task state saved, so long workflows survive interruptions.

Approval gates

Payments, emails to customers and record deletions wait for a human click.

MCP connectors

Model Context Protocol servers that let agents work with your internal systems in a standard way.

Audit trail

Every decision, tool call and result recorded for review and compliance.

Multi agent teams

Specialised agents for research, drafting and checking that hand work to each other.

How we approach ai agent development

The best first agent targets a repetitive process with clear rules and a measurable cost: data entry between systems, first draft responses, daily reports or document checks.

We design agents with narrow permissions, step by step logs and approval gates, so they are useful on day one and safe on day one hundred.

Every project starts with a short discovery call and ends with software you own: source code, data, cloud accounts and documentation are handed over in your name.

Modules and features

  • Workflow mapping
  • Tool connectors
  • MCP servers
  • Task queues
  • Approval inbox
  • Logs and replay
  • Cost monitoring
  • Fallback rules

Built for

  • Finance and accounts teams
  • Sales operations
  • Customer support
  • Procurement
  • HR and recruitment
  • Agencies

Technology we use

  • LangGraph
  • Claude
  • OpenAI
  • MCP
  • Python
  • Temporal
  • PostgreSQL
  • Docker

From first call to launch

The same five stages for every build, with a working demo at the end of each sprint so you see progress, not promises.

  1. Discovery

    We map your process, users and data, agree the first release and give you a fixed price for it.

  2. Design

    Clickable prototypes of the key screens, reviewed with the people who will use them every day.

  3. Build in sprints

    Two week sprints with a demo each time. You can change priorities between sprints.

  4. Test and launch

    Functional, security and load testing, data migration, training and a planned go live.

  5. Support and grow

    Monitoring, fixes and new features on a monthly plan, or a clean handover to your team.

Questions about ai agent development

What is the difference between an AI agent and automation like Zapier?

Rule based automation follows fixed paths. An agent can handle variation, such as reading an unusual email or deciding which record to update, while still following the limits you set.

Can agents make mistakes?

Yes, which is why we give them narrow permissions, test them on real historical cases and require approval for consequential actions.

Which tools can an agent connect to?

Anything with an API or a secure browser session, including Tally, Zoho, Salesforce, HubSpot, Google Workspace, Microsoft 365 and custom databases.

Do you work only in Kolkata?

Our engineering team is based in New Town, Kolkata, and we work with clients across West Bengal, the rest of India and overseas. Most projects run remotely with weekly demos, and we meet in person when it helps.

Get a free scope for your ai agent development project

Share three details. A senior engineer from our Kolkata team will call you, understand the problem and send a written scope with timeline and cost. No obligation, no spam.

  • A short call with an engineer, not a salesperson
  • A written scope: modules, technology, timeline and fixed cost for phase one
  • Honest advice, including when an existing product fits better than custom code

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