One fair view of how every agent performs - human and AI.
Coach and reward on merit, with complexity built in.
Modern support runs on both people and AI. Agent Intelligence evaluates every conversation on the same framework - quality, customer experience, escalation risk and AI compliance - so you can see who is excelling, who needs help, and where to improve, without comparing apples to oranges.
What Agent Intelligence measures
Every agent, one standard
Score every conversation across customer experience, operational quality, consistency and escalation risk - with the same framework applied to human and AI agents, so comparisons are fair.
So you finally compare human and AI performance on equal terms.
No more "they had the easy tickets"
Capability and quality-vs-volume scoring account for how hard each conversation actually was, so a strong performer on tough cases is not penalised next to someone clearing simple ones.
So your team trusts the scores, because they are fair.
Catch fabrications and off-policy behaviour
Detect fabrications, policy violations, inconsistencies and unsafe automated behaviour before they reach customers - the independent oversight your AI vendor cannot give you.
So a bad AI answer is caught by you, not discovered by your customer.
Know exactly what to fix
Each finding comes with a clear recommendation - a prompt to adjust, a workflow to change, a knowledge gap to fill, or an agent to coach.
So every review ends with a fix, not just a finding.
Your platform grades its own homework. Isara does not.
Outside the loop
Isara sits outside the system running your agents, so errors that never generate a complaint still surface.
An audit trail you own
A structured, independent record of what your AI said and did - not locked inside the vendor.
Human and AI together
One evaluation framework across your whole operation, not separate tools and standards.
Questions about Agent Intelligence
Does this replace my QA team?
No - it scales them. Instead of sampling a couple of percent of conversations, your QA team works from findings drawn across 100%, and spends their time coaching rather than hunting.
Will agents feel surveilled?
Scoring is complexity-aware and consistent, designed to be fair. It is read-only and focused on patterns and coaching, not gotchas.
Does it work for AI agents from any vendor?
Yes. Isara is independent of the platform running your AI, so it works regardless of who built the agent.
Score every agent fairly - human and AI.
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