Skip to content
Catalyst LabsSoftware · AI · Automation

System onlineAI agents for business

Intelligence that doesn’t just respond — it executes.

Build autonomous AI systems that reason over your data, orchestrate the workflow, and execute the action - not a chat window bolted onto the side of the company.

Build an AI SystemExplore AI Agents

Perceive

Reads the input as it arrives.

Reason

Weighs it against your rules.

Plan

Decides what happens next.

Tools

Calls the systems it needs.

Memory

Keeps the record of what it did.

Act

Writes back, or hands off to a person.

System online
Grounding
Answers retrieved from your own documents, with the source cited
Evaluation
A test set per task; a release has to beat the one before it
Guardrails
Outputs validated against a schema - it refuses rather than guesses
Escalation
Low confidence routes to a person, and every handoff is logged

/Signal path

Pick a scenario and follow the charge along the pipeline.

An enquiry arrives at 11:40pm

A prospect messages on WhatsApp outside working hours. Nobody is watching the inbox.

  1. Customer

    WhatsApp: “Do you build booking systems? What's the cost?”

  2. AI layer

    Classify intent · extract budget, timeline, service · score fit

  3. Business system

    Create CRM lead · assign owner · start SLA timer

  4. Action

    Reply in 8s with scope questions · brief in owner's inbox by 7am

No enquiry waits for office hours to be acknowledged.

Where this usually lands first

  • AI customer support
  • Lead qualification
  • AI sales assistants
  • Document processing
  • Internal knowledge search
  • Automated reporting
  • Workflow automation
  • AI-powered internal tools

Not sure whether AI is the right tool for your problem? We’ll tell you when it isn’t - a query, a form or a scheduled job is often cheaper and more reliable.

Discuss your use case

Failure modes

What happens when it goes wrong

Anyone can demo an AI system on the path where everything works. These are the paths where it does not, and what the build does about each one.

01

The model is not sure

Confidence is scored before anything is written. Below the threshold the task routes to a person with the full context attached, rather than guessing and being wrong quietly.

02

The provider goes down

The pipeline queues instead of dropping. Work retries with backoff and resumes where it stopped, so an outage delays the run - it does not lose it.

03

The output is malformed

Every response is validated against a schema before it reaches a system of record. Invalid output is rejected and retried, never written through on the assumption it is fine.

04

The data shifts underneath it

Each task carries its own evaluation set. It runs on every release, and a regression against the previous version blocks the deploy rather than shipping and being noticed later.

05

Somebody asks why it did that

Each decision keeps its inputs, the prompt version that produced it, and the output. An answer six months later is a lookup, not an investigation.

06

You want to leave

It runs in your cloud, on your keys, against your data. The pipeline and its prompts are yours at handover - there is no component that only we can operate.

None of the above is a performance claim. They are properties of how the system is built, which is the part we can actually promise before a line of your data has been seen.

Business impact

What actually changes once it ships.

No invented percentages. These are the state changes software produces when it is built around the real process.

  • Less manual work

    Anything that follows a rule stops needing a person to start it, check it or copy it into the next system.

    Someone re-keys itIt runs on its own

  • Faster response

    Customers and leads get an answer in seconds, at 2am, on the channel they messaged from.

    Answered when noticedAnswered on arrival

  • Better conversion

    Fewer steps, faster pages and clearer journeys between someone being interested and someone buying.

    Friction at every stepA path with no gaps

  • More visibility

    The numbers that matter come out of the system that holds the work, not out of a monthly export.

    Ask three peopleOpen the dashboard

  • Lower operational friction

    Tools that ignore each other get connected, so information stops being retyped at every handoff.

    Six disconnected toolsOne connected system

Not sure AI is the right tool? We'll tell you.

Plenty of problems are solved better by a query, a form or a scheduled job. We would rather build you the cheaper thing that works than the impressive thing that doesn't.

Emailmithun@catalystlabs.co.in
Phone+91 96770 80327
Based inChennai, India
HoursMon–Sat · IST (UTC+5:30)