Unified vendor dashboard
See cost, throughput, and business value from every AI vendor in one view. No more reconciling spreadsheets from five different provider portals.
Scale with AI
Multi-Model & Vendor Sprawl
Enterprises typically run 5-15 AI vendors and models simultaneously. Each vendor reports their own metrics in their own format. Without a unified economic view, you can't compare return across providers — so renewal decisions default to relationships, not data.
Unified
cross-vendor cost view
Per-vendor
value comparison
Data-driven
renewal decisions
The challenge
The Problem
The AI vendor landscape is fragmented. Most enterprises use multiple LLM providers, specialized AI services, and automation platforms. Each one generates its own cost reports and performance metrics — but none connect cost to business value. The result: an unmanageable portfolio where weak performers persist because nobody has the data to cut them.
Multiple AI vendors with no unified view of cost-per-outcome — each reports in their own format
Renewal and expansion decisions are based on relationships and vendor demos, not comparative value data
Weak-performing vendors consume budget that could be reallocated to higher-return providers
No way to benchmark one model against another on the metric that matters: business value per dollar
Vendor consolidation efforts stall because teams can't agree on which tools are actually delivering
The solution
How Econa Helps
Econa AI's Foundation normalizes cost and output data from every AI vendor into a single economic view. Economics then calculates measurable return per provider, model, and workflow — giving you the data to rationalize your AI portfolio and reallocate budget to the highest-returning investments.
Comparative value analysis
Compare measurable return across providers, models, and workflows. Know which vendors earn their budget and which are underperforming.
Data-driven renewal decisions
Enter vendor renewals with proof: which providers returned value and which should be renegotiated, reduced, or replaced.
Portfolio optimization recommendations
Sentinel AI identifies opportunities to consolidate vendors, switch models, or reallocate spend to maximize total portfolio value.
How it works
Three Steps
1
Connect every vendor
Foundation ingests cost and output data from every AI provider — LLMs, automation platforms, specialized services — into one normalized view.
2
Compare on business value
Economics calculates return per vendor, per model, per workflow. See which investments return value and which don't.
3
Rationalize and reallocate
Use comparative data to consolidate vendors, renegotiate contracts, and reallocate budget to your highest-returning AI investments.
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