Everyone agrees technology spend is out of control. An enormous risk and opportunity for businesses today. Between cloud, SaaS, data center, AI, internal platforms, etc. technology is now one of the fastest-growing lines on the P&L. And yet most companies are still trying to manage it with tools and processes that were never designed for how technology is actually consumed today.
That’s why FinOps is evolving beyond the cloud to encompass all technology spend.
Here’s the blunt reality: You cannot manage technology spend strategically if you don’t have a single system of record for it.
Most companies don’t.
Where technology spend actually breaks down
In almost every organization I talk to, the same pattern shows up:
- Finance owns the budget
- Engineering controls the spend
- Executives are accountable for outcomes
But the data that connects those three things is fragmented. Cloud costs live in one place. SaaS contracts live somewhere else. Revenue data lives in finance systems. Usage data lives with engineering. Headcount and internal effort live nowhere useful.
Finance is asked to forecast spend it doesn’t control. Engineering is asked to optimize costs it doesn’t fully see. Executives are asked to make decisions without a clear link between spend and results.
This isn’t a people problem. It’s a data model problem.
What a Universal Spend LedgerTM actually enables
Technology Spend Management only becomes real when all technology spend and business context live in the same analytical plane. That’s what a Universal Spend LedgerTM enables.
Here are concrete examples of what organizations start doing once this exists.
1. Real margin and unit cost modeling
Instead of guessing, organizations can answer questions like:
- What does it actually cost us to serve a customer?
- What’s the fully-loaded cost of a product, environment, or region?
- How does margin change as usage scales?
This requires joining:
- Cloud and infrastructure spend
- SaaS and tooling costs
- Internal platform costs
- Revenue or business data
Without a unified ledger, this analysis is slow, manual, and usually abandoned halfway through. With it, margins become a living metric and not a quarterly exercise.
2. Finance-led guardrails without blocking engineering
Most FinOps tools stop at giving engineers visibility into spend. That visibility is necessary, but it is not sufficient on its own.
Technology Spend Management goes a step further by elevating finance as the primary owner of financial guardrails and priorities, while still enabling engineering to operate independently within clear boundaries. Rather than telling engineers what to do, finance defines the constraints that matter most to the business.
In practice, this looks like:
- Finance sets unit cost targets for a service
- Engineering sees those targets alongside usage and architectural decisions
- Tradeoffs become explicit and data-driven, rather than emotional
This model only works when finance and engineering are working from the same numbers, derived from the same underlying system of record.
3. Evaluating AI spend like a business investment
AI spend is breaking every existing model.
Usage-based pricing, opaque vendor metrics, and experimental workloads make it nearly impossible to answer basic questions:
- Is this AI workload improving outcomes?
- What’s the cost per inference, per user, per dollar of revenue?
- Which experiments should we scale and which should we kill?
A Universal Spend LedgerTM brings AI usage, infrastructure costs, and business impact together for analysis. Without it, AI spend becomes an act of faith.
4. From cost cutting to capital allocation
The biggest shift Technology Spend Management enables is psychological. When all technology spend is visible, normalized, and tied to outcomes, the conversation changes from:
“Where can we cut?” to “Where should we invest more?”
That’s the difference between cost management and capital allocation. And it’s the difference between reacting to spend and using it strategically.
Why existing tools can’t get you there
ERP systems were not built for usage-based pricing. SaaS management tools focus narrowly on licenses. Spreadsheets do not scale. And many FinOps tools were built cloud-first and engineering-first, rather than with the business in mind.
The core failure is structural. No system was designed to serve as the system of record for all technology spend.
Effective Technology Spend Management requires one.
Where Ternary fits
At Ternary, we’re building around a simple idea: technology spend needs a universal ledger, not another dashboard.
Ternary ingests cloud and non-cloud spend, usage data, and business data into a single, schema-agnostic platform. Teams analyze this data together in one place, rather than stitching it together manually after the fact.
FinOps remains the operating model. Ternary is the Universal Spend LedgerTM for technology spend.
The bottom line
The expansion of the FinOps scope beyond public cloud isn’t a trend. It’s an inevitability.
As companies continue to use emerging technology to build, scale, and compete, managing that spend requires the same rigor we apply to revenue and capital.
You can’t do that without a Universal Spend LedgerTM.
See the Ternary platform in action.
