AI Strategy and Governance Advisory
We help leadership teams identify where artificial intelligence creates measurable value, prioritise investment across the technology portfolio and establish governance that meets board and regulatory expectations.
Our analysts track AI adoption across Indian and global enterprises, engage with the teams operating AI in production, and validate vendor claims with reference customers before they inform our research.
Questions we help answer
- Which AI use cases have demonstrated returns in our sector, and which remain experimental?
- How should AI investment, ownership and measurement be organised across business units?
- What governance does the board require, and what do regulators expect?
- Should we build, buy or partner, given our data and capabilities?
Common questions
How does AI strategy advisory differ from an AI implementation partner?
Krynthnode does not build or resell AI systems. This allows us to compare vendors and approaches objectively, and to advise when investment is not yet justified.
Do you cover generative AI and AI agents?
Yes. Our research covers generative AI, AI agents and established machine learning, assessed separately because their maturity differs significantly.
Can you support a board paper on AI risk?
Yes. Clients often combine our governance research with analyst advisory to prepare board papers and oversight frameworks.
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Contact the ai and technology strategy teamIndustries we apply this to
Research from this practice
Filter the libraryThe Enterprise AI Adoption Index 2026
How enterprises are moving generative and agentic AI from pilots into production, and what separates those that get there from those that stall.
Agentic AI in banking operations: where the returns are real, and where caution is needed
Which back-office and servicing workflows are ready for AI agents today, and which still need a human decision at every step.
Technology budget outlook 2027
Where CIOs and CFOs expect to increase, protect and cut technology spending next year.
Generative AI governance: a board-level brief
The questions boards should ask about AI risk, accountability and disclosure, with a one-page oversight checklist.