Agentic Evaluation
Prove AI ROI in 90 days
Measure what matters: AI agent accuracy, task completion, cost-per-action, and business outcomes. Move from "Is it working?" to proven ROI.
The Challenge
2025 was AI hype. 2026 is "Is it working?" Most executives haven't yet seen significant revenue gains from AI. The gap between expectations and realized benefits is massive.
- No clear metrics for AI agent success
- Can't differentiate AI value from noise
- Stakeholders asking "Is it working?" with no answer
- Cost per AI action unknown
- Business outcomes unattributed to AI investments
Our Solution
A comprehensive evaluation framework that measures AI agent performance against business outcomes. Track task success, accuracy, efficiency, and cost—then prove ROI to stakeholders with hard numbers.
Key Capabilities
What you get with Agentic Evaluation
Task Success Rate Tracking
Goal completion %Measure whether agents complete their assigned goals, with breakdowns by task type and complexity.
Accuracy & Hallucination Monitoring
Truth metricsTrack factual correctness, citation accuracy, and hallucination rates across all agent outputs.
Cost-Per-Action Analysis
Cost transparencyKnow exactly what each AI action costs—API calls, compute, human review—down to the task level.
Business Outcome Attribution
ROI attributionConnect AI agent activity to revenue, cost savings, and throughput improvements.
How It Works
Our implementation process
Baseline Measurement
Establish current metrics for the processes AI will handle—time, cost, accuracy, throughput.
Instrumentation
Deploy monitoring on AI agents—every action, decision, and outcome is tracked.
A/B Testing
Compare AI-assisted vs baseline processes with statistical rigor.
Dashboard & Reporting
Real-time visibility into AI performance, cost, and business impact.
Integrations
Works with your existing systems of record
Results We Deliver
From deployment to demonstrated business value
With real performance data to guide improvements
Know exactly what AI is costing and delivering
Frequently Asked Questions
Common questions about Agentic Evaluation
How do you measure AI agent performance?
We track multiple dimensions: task success rate (did the agent complete the goal?), accuracy (was the output correct?), efficiency (how long did it take, at what cost?), and business outcomes (what value did it create?). All metrics are auditable and tied to specific agent actions.
What's a good task success rate?
It depends on the task complexity. For routine tasks (data extraction, routing), we target 95%+. For complex tasks (multi-step workflows, decision-making), 85%+ is strong. We establish baselines and improve iteratively.
How often should we evaluate our agents?
Continuous monitoring with weekly reviews and monthly deep-dives. Drift detection alerts you when agent performance degrades, triggering investigation and retraining.
Can you evaluate existing AI deployments?
Yes. We can instrument and evaluate AI systems you've already deployed, providing visibility you may not currently have.
How do you handle the "black box" problem?
We require explainability in agent decisions. Every action has a logged rationale, enabling audit, debugging, and continuous improvement.
Ready to prove AI ROI?
Book a discovery call to see how agentic evaluation delivers measurable business outcomes.
Book a Strategy Call