AI AGENTS · INDIA
AI calling agents that update Salesforce, in your customer's language.
Your borrowers, policyholders and buyers answer in Hindi, Tamil or Malayalam. We build the agent that calls them, reads their documents and writes every outcome to Salesforce, with a person on anything it isn't sure of. It is our First Agent in Production offer, in your customer's language: one named process in one language pair, with a target of about 30 days to go live.
Salesforce consulting partner since 2010 · MVP Hall of Fame · 200+ agents in production · UAE, India and US desks
The first process
What we build first.
Where to start
Where Indian teams start.
The jobs that ranked highest for a team on Salesforce. Each one has its own page.
Lending
Loan documents into the loan file
Bank statements, salary slips and land records in Marathi or Tamil land in Salesforce as fields. Credit stops re-typing.
Lending
EMI reminder calls before the due date
Borrowers hear the reminder in their own language between 8 and 7. The promise to pay lands on the loan record.
Sales
Call back B2B enquiries in Hindi
IndiaMART and website enquiries get a call in minutes, in the buyer's language. Quantity, timeline and city reach the lead.
Real estate
Property leads called back in the buyer's language
Portal leads get a call in minutes. Budget, location and a site-visit slot are on the Salesforce lead before a rep picks up.
Service and back office
Malayalam and Bengali voice for Agentforce
Your Agentforce service agent keeps the logic. Callers in Kerala, Bengal and Gujarat get a voice path in their language.
Insurance
Claim status line in ten languages
Policyholders call, give a policy number, and hear where the claim stands in their language. The case updates either way.
The rules
What the build enforces.
We build these controls into the agent. Your compliance team signs off what applies to your licence.
The stack
Built on what you already run.
Sarvam is a trademark of its owner. Mindcat is not affiliated with or endorsed by Sarvam AI.
Sarvam AI
Hears 22 Indian languages, speaks 10, reads documents in all 22.
Agentforce
Keeps the logic and actions when you already run it. We add the language path.
Jev
Decides the closed question: will pay, dispute, wrong document, wants a person.
First Agent in Production
The offer this runs under: spec, shadow, gate, with a reviewer on the exceptions.
UAE desk
For Gulf teams serving Indian-language customers, scoped per case.
Questions
What we actually say.
- Which Indian languages can the agent speak?
- With Sarvam: Hindi, Bengali, Tamil, Telugu, Gujarati, Kannada, Malayalam, Marathi, Punjabi, Odia and English by voice. It can understand 22 Indian languages and read documents in all of them.
- Do we need Agentforce?
- No. If you already run Agentforce, we add the Indian-language voice path to it. If you don't, the agent writes to Sales Cloud, Service Cloud or Financial Services Cloud directly.
- Who do we contract with?
- Mindcat Consulting Private Limited in Kochi, for teams in India. You hold your own Sarvam or voice provider account.
- How fast can it go live?
- We aim for one named process in one language pair in about 30 days, including a shadow period. The written assessment after the first week sets the date. More languages follow once the first one holds.
- Can you say what it costs per call?
- We work it out with you from Sarvam's list prices and your call lengths before the build. We don't quote a per-minute figure we haven't measured on your calls.
Desks
Where the practice sits.
Kerala, India
Mindcat Consulting Private Limited, Villa 19, Countryside Bungalows, Shasthamugal, Mamala PO, Puthencruz, Kochi, Kerala 682305
Mon-Fri: 9AM-6PM IST
Dubai, UAE (HQ)
Mindcat Technology Consultants FZE, F-15 Warba Center, 1st Floor, Abu Baker Al Siddique Road, Deira, Dubai
Sun-Thu: 9AM-6PM GST
USA · mailing
101 RAINBOW DRIVE PMB 13542, Livingston, TX 77399
Mon-Fri: 9AM-6PM CST
From the blog
Which Indian-language speech model fits?
The brief
Name the call your team makes in the wrong language.
We reply within 24 hours with where an agent fits, which language pair to start with, and what Salesforce has to hold first.
