OPTIMAZE Economics

What are we getting for our AI spend? Why are our cloud costs so high?

They are one of the most common questions in the boardroom, and one of the hardest to answer. Cloud spend sits among the largest line items on the P&L, yet remains one of the least understood. AI is fast becoming one of the largest, least controlled costs.

• 95% of AI experiments do not return value (MIT)

• 30% of enterprise cloud spend is wasted (Gartner)

• 55% of cloud commitments are based on guesstimates

• 31 days, the average time to detect and fix a cost anomaly

The typical response is a manual initiative, a point-in-time optimization tool, or an expensive consulting engagement. Recommendations get made, tickets get created, only for priorities to shift promptly and efficiency to drop again. The financial and environmental cost compounds.

The root cause comes down to three structural failures that no optimization tool or consulting engagement has adequately solved:

1. Stale, inaccurate cost data - source data is erroneous, unattributed, attributed incorrectly and manual

2. No financial benchmarking - cost owners have limited ways to assess their own performance against meaningful (business goal aligned) baselines

3. FinOps capacity constraints - centralized teams can't scale fast enough to meet organizational demand for financial intelligence

4. Tool sprawl - a fast changing world means teams leverage more tools than ever, custom dashboards can't keep up

OPTIMAZE Economics

OPTIMAZE uses agentic AI to connect spend to engineering output

Multi-Dimensional Cost Attribution Know exactly which team, service, feature, or customer is driving your AI spend, without asking finance. Enrich cost data automatically and map it to your engineering taxonomy so every squad owns their number.

Connect Spend to Engineering Output Stop defending your AI budget with gut feel. See in real time which models, pipelines and features are generating value and kill the ones that aren't before they compound.

Cost Awareness in the Developer Workflow Metrics your developers will actually action. Overlay token spend with unit economics and KPIs so engineering teams can make cost-aware decisions without leaving their workflow. For example:

• ROI per AI experiment

• Tokens spent per outcome

• Cost per token

• Cost per transaction

• Cost per customer

• Cost per per product

• Margin per product or feature

Scale Without Scaling the Ops Team As your environment grows, your FinOps headcount shouldn't have to. Automate cost intelligence across every environment so your team stays lean while your infrastructure grows.

Fixed, easy to forecast pricing OPTIMAZE pricing is designed to be predictable:

• Fixed pricing based on spend under management tiers

• Private offer for enterprises above $25M spend under management

OPTIMAZE integrates alongside your existing optimization tooling, consulting partners, and FinOps programs, accelerating their impact and cementing lasting systems that drive continuous efficiency.

Whether you are an Engineer seeking real-time cost visibility by service and feature, a Finance professional needing accurate attribution and automated reporting, a Product lead wanting Unit Economics tied to product performance, or a Business executive requiring cloud spend aligned to outcomes and benchmarks, OPTIMAZE delivers a single platform that works across every role.