Document processing
Quotes, invoices, enquiries and forms turned into structured records, with uncertain fields flagged for review.
An AI agent does more than chat. It reads an email or PDF, decides what it is, updates your system and asks a person only when it is unsure. We build agents with guardrails, review steps and monitoring.
Most useful AI in a business is not a chat window. It is a quiet worker: one that turns supplier quotes into structured data, summarises a long customer conversation for your sales team, routes a request to the right person or drafts a reply for review.
We build these agents on Claude and connect them to your real workflow. Each one has a narrow job, access only to what it needs, a person reviewing anything that matters and logs you can read. In our Trripah CRM, an AI parser reads supplier quotes in email, PDF or DOCX and returns a structured itinerary for a person to confirm before it reaches a client.
We are honest about limits. Agents can be wrong, so we design for review, not blind trust, and we measure accuracy on your real documents before you rely on it.
Quotes, invoices, enquiries and forms turned into structured records, with uncertain fields flagged for review.
Conversation summaries, suggested replies and lead scoring for your team.
Agents that take a multi-step task, such as collecting information, updating a record and notifying someone.
Least-privilege access, human approval for sensitive actions, logs and accuracy tracking.
A call to understand your process, users and goals, and what success looks like.
A written scope, timeline and cost before any build begins, so there are no surprises.
Prototypes, data model and architecture you can react to early.
Each sprint ends in a working demo, with a shared board to see progress at any time.
Release, monitoring and support, with documentation so you are never locked in.

Automated RFQ emails, an AI quote parser, instant client itineraries and Razorpay payments — in one back office.
Trripah's AI trip planner: chats like a well-travelled friend, plans the itinerary, and hands a ready lead to the sales team.
We do not publish a single price, because it would mislead. These are the things that move it. We agree scope and cost in writing before any build starts.
Software that uses a language model to carry out a multi-step task, such as reading a document, deciding what it is, updating a system and asking a person when unsure.
It depends on your documents and the task. We test on your real data, show uncertain results to a person for review and track accuracy after launch.
Give it only what it needs, require approval for sensitive actions and log everything. We never give agents production access they do not need.
We choose per task. Our Moonlight chatbot runs on Claude Haiku 4.5, and we pick models by quality, speed and cost.
We use no-code tools where they fit and custom code where the workflow is core, high-volume or sensitive. See our guide to choosing.
A real person calls you back within one business day. We work with clients across India and worldwide.