The Production Reality
Your Agents don’t fail loudly. They drift quietly.
Enterprise AI Agents pass every design review. They clear pre-deployment testing. Governance committees sign off, accountability is assigned, guardrails are confirmed. And then, in production, something more subtle begins.
The Agent starts reflecting the patterns in its operating history rather than the policy it was given. Each individual output looks correct — coherent, properly formatted, within tolerance. No alert fires. No threshold breaches. Logs are normal.
The drift only surfaces when a portfolio review, a compliance audit, or a customer complaint reveals concentrations the original policy was designed to prevent.
This is not a monitoring problem. It is a governance problem — and it is the structural condition of AI deployment without behavioural oversight.
AegentIQ exists to make that drift visible — continuously, independently, before it compounds.
Who is AegentIQ built for?
AegentIQ ensures reliable behaviour of your AI Agents in production.
Head of AI / CDO
“How do I know our Agents are still doing what we deployed them to do?”
Continuous visibility into production behaviour — scored, trended, explained.
CISO / CRO
“If an Agent makes a harmful decision, how quickly would we know?”
Risk-dimension deviations flagged in real time with audit-ready logs.
Enterprise Architecture
“We have Agents across multiple frameworks. How do we get a consistent view?”
API-first ingestion across LangGraph, CrewAI, AutoGen, IBM Orchestrate — no refactoring.
CTO / CIO
“What does the board ask when an Agent deployment goes wrong?”
Executive-ready reporting and audit trails — before accountability becomes a problem.
Customer Experience & Operations
“Our support Agent was fine in testing. Why is it behaving differently in production?”
Drift detection identifies the moment an agent diverges from its validated baseline.
AI CoE / Product & Innovation
“How do we know if our latest agent release is actually better in production?”
AegentIQ scores every Agent version against the same behavioural baseline — so improvement is measurable, and deterioration, if any, is visible before it compounds.
Scaling AI Agent deployments — in any industry, on any framework — AegentIQ is the independent layer that ensures they behave as intended.
What business impact does AegentIQ create?
Deploy Agents with confidence. Govern them continuously.
Prevent Workflow Failures
Catch behavioural drift before it compounds into a customer-facing incident or compliance event.
Increase Agent Reliability
Continuous scoring gives teams the signal they need to maintain performance across all deployed Agents.
Reduce Manual Oversight
Automated monitoring replaces periodic manual reviews — freeing teams from sample-based governance that misses most drift.
Ensure Governance Readiness
Audit-ready logs and evaluation trails satisfy internal governance and external regulatory requirements from day one.
Improve Customer Outcomes
Agents that behave consistently deliver better customer and employee experiences — and fewer escalations.
Accelerate Responsible AI Adoption
Measurable, comparable scoring gives leadership the confidence to scale Agent deployments responsibly.
Platform Highlights
AegentScore™
The Credit Score
for AI Agents.
Every AI Agent deployment carries behavioural risk that no existing metric captures. AegentScore™ changes that — a standardised, explainable behaviour intelligence score across every Agent interaction in production.
Four dimensions. One composite score. Continuously updated. Audit-ready from day one.
Sample composite score — illustrative only
AegentIQ platform — live demonstration
Regulatory Signal
IMDA · Singapore · January 2026
Singapore's IMDA published the world's first AI Governance Framework for Agentic AI — recommending continuous monitoring and logging as foundational controls for autonomous AI Agents in production.
AegentIQ is built precisely for this mandate.
Platform Scope
Precisely what AegentIQ does — and doesn't.
What AegentIQ Does
- Continuously evaluates AI Agent outcomes, quality, drift, and risk in production
- Scores every interaction using AegentScore™ — standardised, explainable, comparable
- Detects behavioural drift before it compounds into a material business event
- Surfaces audit-ready evaluation logs for governance teams
- Operates independently — never both builder and auditor
What AegentIQ Does NOT Do
- Does not train, fine-tune, or modify foundation models
- Does not replace Agent frameworks — works alongside LangGraph, CrewAI, AutoGen and others
- Does not require workflow redesign or refactoring
- Does not build or deploy AI Agents — monitoring only
- Does not require access to model weights, prompts, or training data
Integrations
Works with your existing Agent stack.
No refactoring required
Orchestration
LangGraph
Orchestration
LangChain
Orchestration
CrewAI
Orchestration
AutoGen
Enterprise
IBM Orchestrate
Foundation Models
OpenAI
Foundation Models
Anthropic
Foundation Models
Mistral · Llama
Also compatible with custom agentic and workflow systems via API. No access to model weights, prompts, or training data required.
Start With a Diagnostic
Know exactly how your Agents
are behaving — right now.
Submit a sample of your Agent interaction data. AegentIQ scores it across Drift, Outcome, Quality, and Risk — and returns a full AegentScore™ report, independently assessed, within 48 hours. No deployment. No commitment.
AegentIQ operates independently — never both the builder and the auditor. Developed by Zypero Intellect.
Frequently Asked Questions
What is AegentIQ?
AegentIQ is an independent Behaviour Intelligence platform for enterprise AI Agent deployments. It continuously monitors how AI Agents behave in production, scores them using AegentScore™ across four dimensions — Drift, Outcome, Quality, and Risk — and generates audit-ready governance logs.
What is AegentScore™?
AegentScore™ is AegentIQ's standardised behaviour intelligence scoring system. It evaluates every Agent interaction across Drift, Outcome, Quality, and Risk — giving teams a single comparable score they can trend over time to detect improvement, degradation, or behavioural drift before it becomes a business problem.
How is AegentIQ different from existing AI monitoring tools?
AegentIQ operates as an independent platform — never both the builder and the auditor. Unlike observability tools that monitor uptime, latency, and errors, AegentIQ specifically measures what Agents actually decide in production versus what they were designed to decide. It works alongside existing frameworks — LangGraph, CrewAI, AutoGen, IBM Orchestrate — without requiring workflow changes.