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Ernakulam's IT firms, lenders and retail chains run on routine digital chores done by hand; AI IT automation hands those chores to software and keeps people for the exceptions.

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Ask an operations head at an Infopark company what the team did last week and much of the answer is chores: creating user accounts, resetting access, reconciling two reports, chasing approvals, copying figures from an email into a system. None of it is difficult. All of it is slow, and given what skilled staff cost in Kochi, it is work worth removing.
AI IT automation goes a step beyond scripted bots. It reads unstructured input such as emails, tickets and documents, decides what kind of request it is, carries out the routine steps across your systems and escalates what it cannot settle. We build it around ERPNext where that is your core system, and around your existing tools where it is not.

A service desk spends its first hour each morning reading, tagging and assigning tickets. An AI classifier does this as each ticket arrives, routes it to the right queue, suggests a fix from past resolutions and closes the simple ones, such as access requests, without human help.
Finance and operations teams match bank statements to ledgers, POS totals to deposits and vendor statements to bills. Automation does the matching, clears what agrees and presents only the differences, so month-end becomes a review of exceptions instead of days of checking.
Many firms already have automation of a sort: macros and scripts written by someone who has since left. We replace these with documented, monitored workflows that log every action and alert a named person when something fails.
IT/ITeS and software
Employee onboarding and offboarding across email, code repositories and HR records, automatic ticket triage for support desks, and incident summaries sent to on-call teams at Infopark and SmartCity.
Banking and financial services
Matching of collections against bank entries, document checks on loan files before they reach a credit officer, and scheduled regulatory and management reports assembled automatically, with each step logged for audit.
Organised retail and malls
Daily reconciliation of POS sales with card and UPI settlements across outlets, purchase suggestions raised when stock falls below its level, and price or offer updates pushed to every store from a single approval.
With Ernakulam clients we start by listing the repetitive tasks and timing them, usually over a week at your office. That gives a ranked list: what to automate first and what to leave alone. Our Kochi engineers build the first workflow, run it alongside the manual process until the results match, then switch over. Each automation has an owner on your side and a log anyone can read.
Case studies

Indus Motor Company Private Limited
Indus Motor — ERPNext Cut Stock-Outs 40% Across Showrooms

Kerala State Road Transport Corporation (KSRTC)
KSRTC — ERPNext Courier System Delivered ₹1 Crore in Profit

Della Fashions
Della Fashions — ERPNext POS Made Checkout 60% Faster Across Every Outlet
It overlaps, but goes further. Traditional RPA replays fixed clicks and breaks when a screen changes. AI automation can read free text, handle variation in documents and make limited judgements, and where possible it works through APIs instead of the screen, which is far more stable.
In our experience it changes what they do. The hours spent on copying and checking go, and the same people handle exceptions, customers and analysis. Most firms we meet around Kakkanad are short of skilled hands, not over-staffed, so freed time is absorbed quickly.
Every workflow has limits on what it may do alone. Anything involving payment, deletion or a customer commitment waits for human approval. All actions are logged, failures raise an alert, and we run new automations in parallel with the manual process before trusting them.
More services in Ernakulam
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Kochi (Kadavanthra & Infopark) · Thiruvananthapuram · across India & overseas · In business since 2011