Full-Estate Technology Ledger
Headcount has HRIS. Real estate has IWMS. Technology has a spreadsheet and a prayer.
For the first time, Finance has a single, trusted ledger that captures every category of technology spend — cloud, AI, SaaS, on-premise — with the attribution and GL mapping needed to govern it the same way Finance already governs every other asset class.
Attending Gartner Finance Symposium? Reserve a meeting.
Four pillars of the technology ledger
Unified technology ledger
Every technology cost — cloud, AI, SaaS, on-premise, contractor — in a single, GL-mapped ledger. The system of record Finance has never had for the full estate.
Automated data ingestion
Direct integrations with cloud providers, SaaS management platforms, AI vendors, procurement systems, and ERP. Plus BYOD for whatever isn’t native yet.
Multi-dimensional allocation
Allocate by business unit, product, initiative, cost center, customer, or any custom dimension. Hierarchies adapt to your org — not the other way around.
Continuous reconciliation
Real-time reconciliation against GL actuals. Explained variance, automated accruals, and same-day period-close — the way every other asset class already works.
Full-cost-of-AI picture
“Finance and Engineering are working to layer human and labor costs on top of cloud and third-party spend pulled from Ternary — to get a full picture of what AI actually costs the organization.“
Head of FinOps
Enterprise Contact Center SaaS
What the ledger captures
Cloud infrastructure
AWS, Azure, GCP compute, storage, networking
AI & ML
LLM inference, training compute, model hosting, vector DBs, AI-coding tools
SaaS applications
Salesforce, Workday, ServiceNow, productivity, vertical SaaS
On-premise & data center
Hardware, colocation, maintenance, depreciation
Professional services
Contractors, consultants, managed services, outsourcing
Ready to govern your full technology estate?
Talk to a Ternary team member who works with Finance leaders every day — or book a technical demo for your FinOps team.
Attending Gartner Finance Symposium? Reserve a meeting.
Finance-first data model
Judgment infrastructure
SAP · Oracle · Workday integration
Token-level AI attribution
Vendor lock-in avoidance