Most organizations overspend on AI without knowing whether it’s actually working. We bring financial discipline to AI investment — right-sizing models, auditing spend, and measuring value against real business KPIs instead of vanity usage metrics.
What’s Included
- AI TCO assessments (compute, token spend, licensing vs. build)
- Model selection and right-sizing
- Token usage auditing and prompt-efficiency optimization
- Cloud AI spend governance (FinOps for AI workloads)
- ROI measurement frameworks tied to business outcomes
- Build-vs-buy-vs-fine-tune advisory
- Post-implementation value realization audits (6–12 month checkpoints)
Meruksha’s Differentiators
- Advisory rigor from PwC/RSM-trained consultants who've run cost and value assessments for Fortune 500s, not just start-up dashboards
- We audit after deployment, not just before — most firms stop at the business case; we verify the value actually materialized
- Independent voice: we're not reselling cloud credits or model licenses, so recommendations aren't skewed by a vendor relationship
See it in action
Illustrative engagement (Regional Banking): Read the case study