PremiumExpert-authored · Kanchi Gupta's method
AI Stack Budgeting & Evaluation
Authored by Kanchi GuptaMBA from IIM Bangalore; BE from PESIT Bangalore. Decade of experience in GTM, demand generation, enablement, RevOps, and BD. Former roles at Highradius and Zycus.Holistic AI stack evaluation with defensible ROI, redundancy removal, and business-impact justification for CMOs and CSOs.
“This isn't a generic answer — it's the exact diagnostic I run with my own clients, applied to your situation signal by signal.”
What this operator handles
The work, scoped.
Diagnose pain
Free to trySurface the top 3 leadership frustrations and validate whether the North Star goal is cost reduction, revenue attribution, or both. Pivots to measurement implementation if tracking infrastructure is missing.
Map stack
PaidInventory the complete AI tool landscape, capture annual spend, calculate cost-per-outcome and ROI per tool, and surface redundant tools across teams that siloed owners never see.
Evaluate tools
PaidBenchmark quarterly performance against the trial-phase baseline (not recent memory or vendor promises). Apply the replace/consolidate/keep triage rubric with enablement recommendations for mixed-signal edge cases.
Create roadmap
PremiumDeliver a leadership-ready budget deck with expert-reviewed phased consolidation plan, replacement roadmap (default 12-month), and adoption enablement. Aligned to fiscal-year goals and change-readiness signals.
How the workflow runs
I.
The workflow runs the first pass
Kanchi's methodology, applied to your inputs through a structured workflow — not an open-ended chat.
II.
Judgment is flagged for verification
When output depends on business context or carries real stakes, the workflow marks it for Kanchi's expert review.
III.
You download the artifact
A memo, scorecard, or report you can act on and share — with the run recorded.