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AI · Digital transformation · Automation

Transform with AI. Automate what slows you down.

Tech Adivas transforms how organisations work: we automate documents, workflows and decisions with governed AI, and rebuild the software, data and cloud platforms underneath, securely, so the change lasts.

  • 20YRS

    Technology leadership in software development and architecture

  • 5

    Practices: AI, automation, digital engineering, data & cloud, cybersecurity

  • 4

    Delivery stages, with a governance review at each one

  • MDU

    Our office: Anna Nagar, Madurai, Tamil Nadu

What we do

AI first. Transformation end to end.

We start where AI and automation can change the numbers, then modernise the systems and platforms around them, with the objective, the architecture and the risks explicit before anything is built.

AI that understands your business and acts on it.

From chat assistants on your own knowledge to agents that complete multi-step work across your systems, introduced where it can be measured, governed and reviewed.

  • Generative AI & chatbots
  • AI agents
  • Machine learning & prediction
  • AI strategy & consulting
  • Future AI concepts and prototypes
Explore the practice
Project deliveryWe own an outcome end to end: discovery, architecture, build and operation, with one accountable lead.
Dedicated teamsAI, automation and engineering specialists who work as part of your team, on your priorities.
How automation works

From inbox to done, with AI in the loop.

An illustrative example: a supplier invoice. The same pattern automates claims, applications, service requests and reports. AI does the reading and checking; people stay in charge of exceptions.

  1. Arrives

    By email, upload, scan or form, in whatever format the supplier sends.

    invoice.pdf received
  2. AI reads it

    Fields, line items and amounts are extracted and classified.

    14 fields extracted
  3. Checks it

    Matched against the purchase order, rules and approved data before anything moves.

    PO match ✓ · rules ✓
  4. A person decides

    Only exceptions reach a person, with the evidence laid out for a quick decision.

    1 exception to review
  5. Systems updated

    ERP and finance records updated, with a full audit trail of what AI did and who approved.

    posted · logged
Illustrative example. Every automation is designed with your team around your own process, data and approval rules.Discuss a process to automate
Industries

Every industry. One governed approach.

We work with organisations in every sector. Wherever there are documents, approvals and repetitive work, the same governed AI and automation approach applies. A few examples of what we can automate:

  • 01

    Banking & finance

    Loan and KYC documents, reconciliations, reporting.

  • 02

    Healthcare

    Patient records, claims, appointment and lab workflows.

  • 03

    Manufacturing

    Purchase orders, quality reports, inventory and maintenance.

  • 04

    Retail & e-commerce

    Orders, returns, catalogue updates and customer queries.

  • 05

    Education

    Admissions, attendance, assessments and certificates.

  • 06

    Logistics

    Shipment documents, tracking updates and invoicing.

  • 07

    Government & public sector

    Applications, approvals and citizen services.

  • 08

    Professional services

    Contracts, timesheets, proposals and knowledge search.

Delivery model

Governed delivery, in four stages.

Every engagement follows the same structure, so your leadership always knows what has been decided, what is being built and what comes next.

  1. 01

    Discover

    Establish the business case, stakeholders, constraints and risks before any design begins.

    YOU RECEIVEScope and success measures
  2. 02

    Architect

    Agree the target architecture, security model, delivery plan and estimates in a form your leadership can review.

    YOU RECEIVEArchitecture and delivery plan
  3. 03

    Build

    Deliver in short iterations with code review, automated testing and a working demonstration at the end of each one.

    YOU RECEIVEWorking software, every iteration
  4. 04

    Operate

    Release with monitoring and runbooks in place, hand over with documentation and agree the improvement backlog.

    YOU RECEIVERunbooks and an improvement roadmap
Governed AI & standards

The disciplines behind every release.

Agreed with you at the start and reported on as the work proceeds. AI included: a model can propose an answer, your system decides what it may know and who owns the next step.

THE DECISION GATE

Intelligence needs a decision gate.

Every AI request is checked for access, evidence and review before any answer reaches a person.

Request ✓Access ✓Evidence ✓Human review →
01

Security by design

Least-privilege access, role-based permissions, encrypted data in transit and at rest, audit trails from the first design review.

02

Quality engineering

Peer code review, automated tests and repeatable builds, so a release is a routine event.

03

Documentation & handover

Architecture decisions, runbooks and operating guides, so your team is never dependent on ours.

04

Transparent reporting

Scope, risks, progress and spend reported on a regular rhythm, with one accountable lead.

Leadership

Twenty years of software leadership, accountable for outcomes from the first conversation to handover.

Achappan MahalingamManaging Director
  • Direction

    The service portfolio, technology choices and engineering standards the company works to.

  • Delivery governance

    Scope, risk, quality and transparent reporting on every engagement.

  • Client partnership

    One accountable leader from the first conversation to handover.

  • Capability

    Growing technology skills in the region through ADIVAS School of Future Technologies.

ADIVAS School of Future TechnologiesTechnology programmes for school students, college students and working professionals.
Visit ADIVAS School
Start a conversation

Put AI to work in your business.

Tell us the process, the documents or the decision that costs your team the most time. A senior member of our team will respond with a considered view on what AI can automate and how to start.