Are your AI agents delivering the outcomes you expect?
The agentic era promises unprecedented efficiency and automation — but only if your agents perform in the real world — not just in the lab. Behind the promise lies a growing challenge: agent performance in production is unpredictable.
This e-book explores how Outcome-Based Agent Evaluation and Optimization will define business success in the agentic economy — and why traditional observability, monitoring, and offline testing aren’t enough to ensure trustworthy AI performance.
Why outcome-based intelligence is the new standard
As agents become intermediaries between businesses and consumers, they don’t just execute commands — they shape customer trust. Yet many organizations still measure success using backend metrics like latency, token counts, or accuracy scores.
The only metric that matters is the customer’s perceived outcome.
Did the agent help the customer achieve their goal — or did it introduce friction, confusion, or error? This e-book shows how enterprises can evolve from outdated prescribed customer journeys to measuring consumer patterns.
Inside the e-book:
- The billion-dollar blind spot: why most agent pilots fail when exposed to real users
- The four truths of the agentic era that every enterprise must understand
- Lessons from Conviva’s pioneering work in streaming optimization that apply to agentic systems today
Discover how to lead in the agentic era
Conviva helped the world’s largest streaming platforms evolve from low-level performance monitoring to quality-of-experience (QoE) optimization — transforming how digital success is defined and measured.
Now, those same principles apply to AI agents in production.
Don’t let unpredictable agents damage customer trust or waste investment.
Download the e-book to learn how outcome-based analytics can help your organization build reliable, trustworthy, and scalable AI agent ecosystems.
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