Buyer's guide · Updated November 2026
Enterprise AI agent development companies in India.
Agentic AI moved from demos to production in 2026. The companies selling it range from global IT services firms to single-product platforms. Here is how they differ and how to pick one for your systems.
The landscape
Who builds AI agents, and for whom.
Each type below can deliver working agents. They differ on deal size, how much is custom, and who owns the result.
| Type | Examples | Typical scope | Best fit |
|---|---|---|---|
| Global IT services | TCS, Infosys, Wipro, HCLTech, Tech Mahindra | Agents inside large transformation programmes | Large enterprises with existing outsourcing contracts |
| AI and analytics firms | Fractal, Tiger Analytics, Quantiphi | Agentic analytics and decision workflows | Data-rich enterprises with internal AI teams |
| Conversational and agent platforms | Yellow.ai, Kore.ai, Haptik, Gnani.ai | Customer-service and voice agents on a licensed platform | High-volume contact centres |
| Workflow automation vendors | UiPath, Automation Anywhere | Agents layered onto RPA bots | Companies already invested in RPA |
| Specialist AI studios | MNB Research | Custom agents for finance, sales, operations, voice and WhatsApp, built into existing ERP and CRM | Mid-size and enterprise teams wanting one accountable team |
Descriptions of other companies are summarised from their own public websites and announcements, checked November 2026. Offerings change; confirm current scope with each vendor before you shortlist.
What good looks like
An agent you can trust in production.
Scoped to one workflow
Start with a single process that has a clear owner and a measurable result.
Acts through permissions
The agent only touches systems and records you grant it.
Human approval where it matters
Payments, credit, legal and HR decisions go to a person.
Every action logged
A readable trail of what the agent saw, decided and did.
Model-independent
Routing through a gateway so a model change never stops the agent.
Measured monthly
Hours saved, errors avoided and cost per task reported against the baseline.
Agents MNB builds
- Finance: invoice intake, reconciliation, collections follow-up
- Sales: lead qualification, follow-up, CRM updates
- Customer service on WhatsApp, web and voice (MNB Omni Caller)
- Compliance and audit evidence collection (AuditFlow)
- Operations monitoring and alerts (MNB Cortex)
How an engagement runs
- AI Transformation Assessment: ₹9,999, credited back if the project proceeds
- Pilot on one workflow with an agreed success measure
- Integration with your ERP, CRM, email and WhatsApp
- Rollout with training and an audit trail
- Monthly support and model monitoring
Find the first agent worth building.
Book a 30-minute call. You leave with the one workflow most likely to pay back first.
Questions
Frequently asked.
What is an enterprise AI agent?
Software that uses a language model to carry out a multi-step task inside your systems: reading an email, checking the ERP, drafting a reply, updating a record and asking a human to approve where the rules say so.
Which companies build enterprise AI agents in India?
Large IT services firms (TCS, Infosys, Wipro, HCLTech), AI firms such as Fractal, conversational platforms such as Yellow.ai, Kore.ai, Haptik and Gnani.ai, and specialist studios such as MNB Research. The right choice depends on deal size, systems and whether you want a platform or a custom build.
Are AI agents safe for finance and compliance work?
They can be, when they act only through permissions you grant, log every action, and hand defined decisions to a human. Ask any vendor to show the audit trail and the approval steps before go-live.
How much does an enterprise AI agent cost?
A focused agent on one workflow is typically scoped as a fixed-price pilot, then a monthly running cost for models and support. MNB starts with a ₹9,999 AI Transformation Assessment that is credited back if the project proceeds.