India
AI consulting in Mumbai
Mumbai's enterprise base is concentrated in financial services, which changes the shape of an AI programme. Assurance is not a phase at the end; it is a design input on the first day.
- Headquarters
- Chennai, Tamil Nadu, India
- Delivery
- Remote-first with onsite blocks in Mumbai for scoring sessions, gate reviews, and evidence walkthroughs
Local context
What we see in Mumbai
- 01Banks and insurers here typically need documented validation and ongoing monitoring before a workflow reaches production, so the eval harness belongs in the first release.
- 02Model risk functions often become the de facto gate. Where that is true, we design the gate with them rather than around them.
- 03Distribution and intermediary workflows carry conduct exposure, which usually means a reviewer stays in the loop permanently, not temporarily.
Sectors we work with here
- Banking and NBFCs
- Insurance
- Capital markets and asset management
- Media and consumer groups
Regulatory design inputs
Programmes are designed against sector regulator expectations for outsourcing, model governance, and record retention, alongside India's DPDP framework.
Delivery model
How the work actually runs
Remote-first with onsite blocks in Mumbai for scoring sessions, gate reviews, and evidence walkthroughs.
AI Strategy and Operating Model
AI Readiness Diagnostic
A scored assessment across leadership commitment, data usability, workflow clarity, and governance, with a named owner assigned to the weakest pillar
AI Strategy and Operating Model
AI Operating Model Design
Decision rights, governance cadence, funding model, and the choice between a central centre of excellence, federated pods, or both
AI Strategy and Operating Model
Fractional Chief AI Officer
Senior AI leadership on a defined monthly commitment, owning the loop rather than advising on it
AI Governance and Risk
AI Governance Framework
A standing governance discipline with approval, override, and escalation named per workflow, not per company
AI Software Development
Prototype Sprint
Two to three weeks from workflow to a working prototype on your own process language and sample data
AI Software Development
Custom AI Application Development
Production applications with authentication, data boundaries, audit trails, and an evaluation harness
Other locations
Where else we work
Next step
Start with a baseline, not a proposal
Take the NATIVE Audit in fifteen minutes, or book a scoping call and bring the pilots you already have running.