Twenty-five years of enterprise delivery and portfolio governance, now focused on making AI accountability a delivery and operating model discipline rather than a policy exercise.

Sanjukta Sarkar brings twenty-five years of enterprise transformation experience across IBM, Infosys, and Cognizant, including seventeen years leading portfolio governance and delivery at Cognizant across banking, insurance, and consumer goods clients. She now works with banking and financial services organizations navigating AI-enabled transformation, bringing an operating model and accountability lens to a space often treated as a purely technical or policy problem.
Sahoj is inspired by the Sanskrit concept of Sahaja — that which is natural and effortless — and the Bengali word Sahoj, meaning simple. We believe the best transformations are not the most complicated ones. They are the ones that bring clarity, align people, and simplify execution.
Translating AI ambition into a sequenced, fundable transformation plan.
Structuring teams, roles, and decision rights for AI-enabled delivery.
Assessing platforms and partners against real delivery requirements.
Bringing people along through workforce redeployment and new ways of working.
Named accountability, model risk oversight, and controls aligned to SR 26-2.
Embedded, part-time AI transformation and governance leadership for organizations that need senior oversight without a full-time hire.
Defined-scope, time-boxed delivery support for specific transformation initiatives, model risk programs, or operating model redesigns.
Diagnostic reviews and roadmaps that map current AI governance maturity against SR 26-2 and identify where accountability gaps sit.
CEO-sponsored, pan-India transformation, delivered in partnership with EY.
Scaled across a large insurance account spanning thousands of associates and thirty-plus initiatives across the US, Canada, and APAC.
Led a ninety-day turnaround of an at-risk consumer goods engagement, a Google Cloud e-commerce remediation.
Six million dollars delivered through workforce redeployment and optimization.