Your team loses hours to repetitive, rules-light tasks that are too fiddly for classic automation. We build AI agents that read, decide and act across your tools - with a person kept in the loop wherever the stakes are high.
Automation for the messy, judgement-based work that rules-based tools can't handle on their own.
Agents that read incoming tickets, categorize and prioritize them, draft first replies, and route the rest to the right person with context attached.
Read invoices, contracts and forms, pull out the fields, validate them, and push clean data into your finance or ERP system.
An agent that reads enquiries, enriches and scores them, drafts a first response, and drops the hot ones straight to sales.
Move and reconcile data across tools that don't talk to each other, handling the exceptions that break simple integrations.
Agents that gather, read and summarize information - competitor scans, document review, briefing prep - so your team starts from a draft, not a blank page.
Approvals, guardrails and clear audit trails so the agent acts autonomously on the safe stuff and asks a person whenever the stakes are high.
India's Digital Personal Data Protection (DPDP) rules were notified in late 2025, with most compliance obligations phasing in through 2026–2027 and penalties running into hundreds of crores. Teams are upgrading internal portals, data flows and AI systems now — adding consent capture, data minimization, role-based access, encryption and audit trails. We build these systems to handle personal data by the rules, so compliance is designed in from the start rather than retrofitted under a deadline.
Talk to us about DPDP-ready systemsPlenty of automation projects stall or quietly break. Here's how we keep them running.
We map where time actually leaks first, then automate the steps that pay off - not the ones that are simply easiest to demo.
Every agent has clear boundaries, approvals where they matter, and an audit trail, so you're never handing over judgement you want to keep.
Monitoring, guardrails and sensible fallbacks come as standard, so the agent keeps working next month, not just in the pitch.
We work within your security rules, integrate with the tools you already use, and can run inside your own environment when needed.
A typical path from a manual, repetitive process to an agent that handles it.
The situation we're usually brought into: a high-volume, repetitive process - support triage, invoice handling, data entry - that eats hours, is error-prone, and is too nuanced for classic if-this-then-that automation.
Strategy: Automate the safe majority, escalate the rest
Process: Map the workflow → define guardrails → build the agent → test against real cases → roll out with a human in the loop → monitor
Delivery: An agent integrated with your tools, with approvals and audit trails around it
Every project is different, so we scope each one properly instead of selling fixed tiers. Here's how it works.
A free conversation to understand your goals, your setup, and what success looks like — no pressure, no obligation.
Within a few days you get a detailed plan with scope, timeline, and transparent pricing — fixed-price or ongoing, your choice.
We deliver in phases with regular check-ins, and you own 100% of the code and IP — no lock-in.
Straight answers to what teams ask us first
Classic automation follows fixed rules and breaks on anything unexpected. An AI agent can read unstructured input, make judgement calls, and handle exceptions - while still following the guardrails you set.
Only as far as you allow. We define exactly what the agent can do autonomously and what needs human approval, with an audit trail for everything it does.
Yes - that's the point. Agents plug into the systems you already run (help desk, ERP, CRM, email, spreadsheets) rather than forcing you onto new software.
It escalates. We build in confidence thresholds and fallbacks so anything uncertain or high-stakes goes to a person with the context attached, instead of the agent guessing.
Guardrails, monitoring and staged rollout. We test against real historical cases, launch on a slice of volume first, and watch it before widening - so problems surface small.
A working agent in production, integrated with your tools, plus source code, documentation and a monitoring plan. You own all of it.
Most of our automation work starts with one painful, repetitive workflow. Book a free call and we'll help you find the ones worth automating first.