Accelerate Time to Value with the ROI Optimization Platform
Connect every GenAI initiative to measurable business outcomes. Map costs to business KPIs at the use-case level, identify what's working and what's not, and make investment decisions with board-ready reporting.
Data-Driven Scaling
Prove ROI to the board
Connect every agent and workflow to revenue, productivity, and time savings. Report on GenAI value with data, not assumptions.
See which initiatives to scale or cut
Rank use cases by business impact. Know where to invest more and where to pull back.
Understand true cost per outcome
See full cost distributions for each use case, not misleading averages. Know exactly what's driving spend.
Optimize with confidence
Compare models, prompts, and architectures across cost, performance, and value. Know exactly what to change and why.
ROI Optimization Platform Capabilities
Use Case Leaderboard
See the ROI of every GenAI use case in a single view. Identify which agents, chatbots, and features are delivering value and which need attention. Then use Pay-i's optimization tools to fix what's underperforming.
Real-Time Financial Governance
Set spend limits that actually stop runaway costs, with patent-pending interdiction that can halt an agent mid-execution before it blows past budget. That means you can compare models, prompts, and architectures without worrying about surprise bills.
True Unit Economics
GenAI costs aren't fixed, they're probabilistic. Token pricing only tells part of the story. Track entire agent workflows across every step, model, and tool to see full cost distributions for each use case. Unveil hidden costs, see what's actually driving spend, and know where to optimize to protect your margins.
A/B Impact Testing
Test models, prompts, and architectures across both technical performance and business outcomes. Balance cost, latency, failure rates, and value for each use case, with insights tailored to your business priorities. As new models emerge, know exactly how they compare so you can scale with confidence.
Connects to Your Entire GenAI Stack
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Frequently Asked Questions
How does Pay-i integrate with our AI applications?
Add one line of code per use case in your application to capture all GenAI costs. Teams are typically able to instrument their first agent in under a day.
How is Pay-i deployed?
Pay-i is hosted within your cloud environment (currently Azure and AWS marketplaces), so your data never leaves your tenant. Our team works directly with your engineers to handle the full deployment and implementation.
What if we are using models from different sources (multi-cloud and multi-provider)?
Pay-i is able to capture all AI costs with a single deployment and one line of code. We support all leading model providers, including: Azure OpenAI, AWS Bedrock, Google Cloud, and Anthropic. Pay-i captures the full cost of each AI interaction, including tokens, embeddings, caching, and execution overhead, across all of them.
What kinds of KPIs can Pay-i track?
You define the KPIs that are important to your business and connect Pay-i to your business systems to track the KPIs. Pay-i's value policies framework allows you to assign a dollar or time savings value to these KPIs and link them to AI spend, producing use-case-level P&L statements.
How does Pay-i prevent runaway AI costs?
Real-time budget controls at the org, team, use case, or agent level. When thresholds are approached, Pay-i will notify you in code, allowing you to take actions such as throttle usage, or enforce hard stops before overruns hit your monthly bill.
