by Venky Lakshminarayanan (LV), Chief Strategy & AI Officer, Mainstay
Customer data has a home. Revenue data has a home. Service interactions have a home. But business value—the economic justification behind strategic investments—often does not.
Instead, the methodologies, assumptions, benchmarks, financial calculations, and evidence used to justify those investments are scattered across spreadsheets, presentations, emails, and the knowledge of individual experts (i.e. tribal knowledge). That may have been manageable when people were responsible for finding and interpreting the information. It becomes a much bigger problem as organizations increasingly rely on AI to inform customer conversations and business decisions.
AI can generate answers quickly. But the quality and credibility of those answers depend on the information it can access and trust.
The Missing System of Record and Why It Matters in the Age of AI
Organizations already rely on systems of record for critical business information. CRM platforms manage customer relationships, ERP platforms track financial transactions, and HR systems maintain employee information. Each provides a structured, governed source of data that organizations can trust.
Business value rarely has a system of record of its own.
In most organizations, value assessments are created by different teams using different methodologies. Assumptions often vary from one analysis to another, while the financial logic behind an ROI calculation may be accessible only to a handful of experts. Even the narrative used to communicate value can become disconnected from the underlying economics.
That leaves AI without an authoritative source when it needs to answer fundamental questions:
- Why should this customer invest?
- What business outcomes are most relevant?
- How was this ROI calculated?
- What assumptions support this recommendation?
Humans know how to dig for information. AI, oftentimes, does not. It requires structured, accessible, and trustworthy information to generate meaningful recommendations. Without it, AI risks producing “AI slop”—answers that sound convincing but lack accuracy, credibility, or traceability.
In enterprise sales, where recommendations can influence multimillion-dollar investments, that isn’t enough. Buyers may accept an AI-generated narrative, but will still want to understand the assumptions, benchmarks, calculations, and evidence behind the recommendation.
The future of AI is not simply about generating answers. It is about generating answers that humans can defend.
From Data Intelligence to Value Intelligence
Business value management requires more than data. It requires connecting customer objectives and business challenges with
- financial metrics
- industry benchmarks
- value frameworks
- outcome mappings
- economic calculations.
Together, these elements provide the context needed to determine not only what is happening, but what should happen next.
When that information is unified and governed, AI can move beyond generic recommendations and provide guidance tied to specific business outcomes.
A Value Intelligence Platform serves as the authoritative, governed source for how value is defined, measured, calculated, and communicated across an organization. Instead of treating business value as a collection of isolated analyses, it becomes a managed corporate asset that both human and AI can use.
Building a System of Record for Business Value
Mainstay is working to transform business value from a point-in-time deliverable into a persistent, intelligent asset that can be used across the customer lifecycle.
That requires a platform where:
- Value methodologies are standardized.
- Financial logic is transparent and auditable.
- Assumptions are governed and reusable.
- Industry benchmarks are maintained centrally.
- AI-generated narratives are tied directly to validated business outcomes.
- AI can access and explain the reasoning behind its recommendations.
With that foundation, AI-generated recommendations can be traced back to the assumptions, benchmarks, and financial models behind them. Business leaders can see where the numbers came from and how outcomes were calculated, making the analysis easier to understand, validate, and defend.
The Future of Enterprise Decision-Making
The next generation of AI will not win because it is more conversational. As we state in our recently published book, AI Driven Value Management, it will win because it is more trustworthy.
A system of record for business value gives AI access to something more valuable than content: institutional expertise. Years of accumulated methodologies, benchmarks, financial models, and best practices become reusable intelligence that can be applied across customer interactions.
As AI takes a larger role in business decisions, organizations will need to manage value intelligence as carefully as they manage customer and financial data today. The question is whether their AI will operate from a trusted system of record or generate answers from an incomplete picture.
At Mainstay, we believe the future belongs to organizations that can combine the speed of AI with the rigor of proven business value methodology. Building a system of record for business value is how they will get there. Contact us if you want to discuss how a business value system of record can impact your sales results.
