An independent practice for the enterprise AI buyer.
We exist for one reason: to help regulated, ambitious enterprises move from AI experiments to AI in production — with the governance, economics, and engineering discipline the modern enterprise demands.
Build the intelligence layer the modern enterprise runs on.
We turn data into decisions, decisions into automation, and automation into measurable economic outcomes — engineered for trust, audit, and scale.
Production AI for the regulated enterprise
Not pilots. Not POCs. Real systems, in production, with audit trails, SLAs, and an operating model.
The default partner for AI-native enterprises
To be the practice CIOs and CDOs call when the stakes — regulatory, commercial, reputational — are real.
Senior-led, outcome-aligned, audit-ready
Every engagement led by a principal practitioner. Every deliverable measurable. Every artefact audit-ready.
From a small Chennai studio to a regional AI practice.
ArtAgile Technologies was founded by senior practitioners who had spent careers shipping data and AI systems inside global enterprises — and watched too many AI programmes stall in pilot purgatory.
We started with one belief: enterprise AI succeeds when engineering discipline, regulatory awareness, and commercial outcomes converge in a single practice. Today, that belief shapes every engagement — from a six-week pilot to a multi-year managed-operations contract.
Explore our practice →
Six operating principles, applied without exception.
Outcomes over output
Code, slides, and dashboards mean nothing without a measurable shift in a business KPI.
Senior on every chair
No engagement runs without a principal in the room. We do not pyramid junior consultants.
Audit-ready by default
Governance designed in, not retrofitted. Models, data, and pipelines explainable end-to-end.
Bias for production
POCs are a means, not an end. We optimise for systems that ship and stay shipped.
Honest economics
If a project does not pay back, we say so. Sometimes the right answer is do less.
Long-term partnerships
We design for month sixty, not month six. Our managed practice exists for that reason.
A team with industry-grade scars.
Our principals have led data and AI programmes at global banks, insurers, and manufacturers. They have shipped systems regulators have audited.
Arvind Krishnan
Twenty years across BFSI data platforms. Former Head of Data Engineering at a Tier-1 Indian bank.
Priya Subramaniam
Ex-Big Four AI advisory partner. Led C-suite AI transformations across BFSI and healthcare.
Rohan Mehta
Shipped LLM systems at hyperscalers. Speaks at re:Invent, KubeCon, and Strata.
Lakshmi Narayanan
Former model-risk-management lead. Designed AI governance frameworks for two G-SIBs.
Three delivery centres. One operating model.
Chennai · Headquarters
Our founding centre. Strategy, engineering, and managed operations across the Indian and APAC enterprise.
+91 44 0000 0000Bengaluru · Engineering Hub
Generative AI, MLOps, and data-platform engineering. Embedded delivery teams for clients across India.
+91 80 0000 0000Dubai · Regional Office
Client coverage for the Middle East and North Africa. BFSI, healthcare, and government engagements.
+971 4 000 0000Independent validation, not self-praise.
We are hiring senior practitioners.
If you have shipped enterprise AI systems and want to do it again — with discipline, autonomy, and outcome alignment — we should talk.