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Also serving Trichur
Thrissur's finance houses and hospitals employ rooms of people to read documents and re-key them; that is the work AI now does well, under human review.
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Photo: Jpullokaran · CC BY-SA 3.0, cropped · via Wikimedia Commons
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We design for that from the start. Models can run within your own cloud account, access is limited by role, and the assistant only sees the records it needs. We document exactly where data travels before any build begins.
No. We connect to whatever holds your data, whether that is ERPNext, another ERP, a core lending system or a plain database. That said, AI is only as good as the records beneath it, and clean ERP data makes every project quicker.
Yes. Chat and voice assistants converse in Malayalam, English, Hindi and Tamil, and document readers can be tuned for the bilingual forms common in Trichur institutions. We test with real local phrasing before going live.
After a first conversation about the process you want to automate, where its data lives and how you measure it today, we agree the scope and send you a written quotation. The price, the deliverables and the timeline are fixed against that scope before any work starts, so nothing grows without your sign-off.
You speak to someone who does this work, not a call centre. They ask about the work that takes the most hours, where its data lives and what a good result would look like. If it looks like a fit, we agree the scope and put it in writing, with the timeline, before any work starts. If it does not, we tell you.
Thrissur is a paperwork district. Loan files, KYC copies, chitty agreements, insurance claim forms, discharge summaries, supplier invoices for herbs and timber: a great deal of skilled staff time here goes into reading a document and typing what it says into a system. The work is careful and slow, and it grows with every new branch.
Our AI and automation services are custom-built around jobs like these. We build document readers that extract fields and post drafts for approval, chat and voice assistants that answer routine questions from your own data, and workflow automation that moves a task from one desk to the next without a reminder call. Every build keeps a person in the approval seat and your data inside systems you control.
Case studies
Dumas Bakes N Meals Private Limited
Dumas Bakes N Meals — ERPNext Lifted On-Time Deliveries by Over 40%
Indus Motor Company Private Limited
Indus Motor — ERPNext Cut Stock-Outs 40% Across Showrooms
MultiWealth Capital
MultiWealth Capital — ERPNext Cut Loan Processing Time by 60%
A finance branch collects identity proofs, land documents and pledge details, then someone at head office types them again. A document-handling model reads the scans, fills the application draft and flags what is missing, so staff check exceptions instead of typing everything.
What is today's gold rate, how much have I paid into my scheme, when is my next instalment, is the doctor in today. Assistants connected to your ERP or CRM answer these at any hour in Malayalam or English and pass the unusual ones to a person.
Overdue reminders, renewal notices and pending approvals often rely on someone remembering. Automated workflows raise the reminder, draft the message and escalate if nothing happens, with a log of what was sent and when.
An example
At a finance company's head office off Sakthan Thampuran Nagar, the branch courier bag lands at half past nine on a Wednesday. Inside are loan applications from Irinjalakuda and Chalakudy, each with identity proofs and pledge slips. A clerk scans the bundle and walks away. The document reader picks out names, addresses, ornament weights and the branch officer's valuation, creates draft applications and flags the files where the address proof is older than policy allows. By eleven the credit officer is reviewing drafts instead of typing them, and the flagged files go back to the branches by message. In the afternoon the reminder workflow drafts due-date messages for Friday's instalments, a supervisor glances through the list, and they are sent. Nobody has retyped a form, and the day's exceptions fit on one screen.
We start every AI engagement with one narrow process, chosen with you during a visit to your Thrissur premises, and measure it against how the job is done today. If the pilot earns its keep, we widen it. Build and testing are done by our engineers in Kochi, with your team reviewing real outputs each week so there are no surprises at handover.
Discovery. We map your processes and rank use cases by payback and by how ready the data is.
Pilot on your data. The first narrow use case, measured openly against your current baseline.
Human review. Your team checks the output until accuracy clears your bar.
Go-live with guardrails. Fallback to a person, confidence thresholds, audit logs and security controls.
Scale what works. The next use case, only once the first one has proved itself.
The scope and timeline are agreed in writing before work starts.
Banking and financial services
Reading KYC and collateral documents into loan applications, summarising branch audit notes, routing approvals by amount, and sending instalment reminders, each with a reviewer who accepts or corrects what the system proposes.
Ayurveda and wellness
Answering treatment and package enquiries that arrive from other states and abroad, capturing purchase invoices from herb suppliers at Koratty into accounts, and forecasting raw material needs from past production batches.
Education and healthcare
Admission and appointment enquiries handled by an assistant grounded in your own timetable and fee data, and insurance claim paperwork pre-filled from the hospital record for a staff member to verify and submit.
Government Medical College, Thrissurinstitution
medical college and teaching hospital at Mulamkunnathukavu, opened in 1982
A teaching hospital of this size generates discharge summaries, claim forms and lab requisitions all day, and the private hospitals around it face the same paperwork.
Source: en.wikipedia.orgInfopark Thrissur, Korattypark
Government of Kerala IT campus at Koratty near Chalakudy with an SEZ building (Indeevaram, about 3.35 lakh sq ft) and a set of smaller non-SEZ buildings; runs as a spoke of Infopark Kochi
Product and services firms on the Koratty campus already run structured data, which makes them quick adopters of automation for support tickets, onboarding and internal approvals.
Source: infopark.inSakthan Thampuran Nagar, Thrissurmarket
business district with the city vegetable and fish markets, a major bus stand and bank and company offices
The bank and company offices in this business district are where branch reports, courier bags of loan files and supplier bills converge each morning, exactly the flow automation is built to absorb.
Source: en.wikipedia.orgPlaces and organisations are named for local context only. Acube Innovations is not affiliated with or endorsed by them.
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Kochi (Kadavanthra & Infopark) · Thiruvananthapuram · across India & overseas · In business since 2011