AI agents that do real work inside your business.
We build AI agents that read incoming work, decide what to do with it and act: qualifying leads, answering routine tickets, pulling data out of documents. Anything uncertain goes to a person.
A chatbot answers questions. An AI agent does a job. It reads an email, a form, a call transcript or a PDF, checks it against your rules and data, and then takes action: updates the CRM, drafts the reply, routes the ticket, creates the task.
We use AI only where judgement is actually needed and plain automation everywhere else, because that is cheaper, faster and more predictable. Every agent logs its decisions so you can see why it did what it did.
Agents we build
Lead qualification agent
Scores every inbound lead against your criteria, enriches it, and routes hot leads to the right salesperson within minutes.
Support triage agent
Reads tickets and emails, answers the common ones from your knowledge base, and escalates the rest with a summary.
Document extraction agent
Pulls fields out of invoices, purchase orders, KYC documents and forms into your sheet or ERP, and flags anything that doesn't match.
Inbox assistant
Sorts a shared inbox, drafts replies for review, and flags urgent messages.
Internal knowledge assistant
Answers staff questions from your SOPs, policies and past tickets, with links to the source.
Voice agents
Agents that talk on the phone in Hindi, English and Hinglish. See AI voice agents.
Built to be trusted
Human in the loop
You decide which actions the agent takes alone and which need approval. Low-confidence cases always go to a person.
Your data stays controlled
Agents only get access to the systems they need, and we choose model providers and settings that match your data rules.
Measured, not guessed
We test agents on your real past cases before launch and track accuracy afterwards.
Model-agnostic
We use OpenAI, Anthropic (Claude) or Google (Gemini) depending on the task, cost and language needs, and can switch later.
A working example: AuditIQ, our own product, uses AI to transcribe call-centre calls in Hindi, Hinglish and English and score each one for quality, compliance and customer sentiment.
Common questions
What does an AI agent cost to run?
Two parts: the one-time build, quoted after the audit, and ongoing AI model usage, which depends on volume. We estimate usage costs upfront so there are no surprises.
Will the agent make mistakes?
Sometimes, which is why we design for it. Agents act alone only on clear-cut cases, log every decision, and pass anything uncertain to a person.
Can it work in Hindi?
Yes. The models we use handle Hindi and Hinglish well, and our voice and call-audit products are built for Indian languages.
How long does it take to build one?
A focused agent for one job usually takes 3 to 6 weeks, including testing on your real data.
Tell us which job you'd hand to an AI agent.
We'll tell you honestly whether an agent is the right tool, or whether plain automation would do it better.
Book your free audit