AI agents don’t fail suddenly. They drift.
Technical monitoring tells you when your agents stop working. It doesn’t tell you when they start behaving differently from how you designed them.
That gap — between technically working and behaving as intended — is where your governance risk lives. It is also where most enterprises are exposed right now.
Zypero Intellect closes that gap. We define how your agents should behave before you build them. AegentIQ measures whether they still are once they’re running.
Four services. The full AI agent governance journey.
Each service is an application of The Behaviour Intelligence Lens — Zypero Intellect’s proprietary methodology for AI agent governance. Whether you are preparing to deploy or governing agents already in production, together they form a connected practice, not a menu of isolated offerings.
Agent Strategy & Design
We define how your agent should behave before it is built.
Identifying the right AI agent use cases is the starting point. Defining how each agent should consistently behave is the work most organisations skip — and the reason deployments that look successful in pilots drift in production.
Learn moreAgent Governance Blueprint
We build the governance standard your agents are held to.
Before an agent goes into production, someone needs to define what governing it actually means — in terms specific enough to measure, not general enough to avoid. For enterprises that have already deployed without a governance specification, Blueprint creates that standard now. Either way, it becomes the brief for everything measured afterwards.
Learn moreGoverned Implementation
We build that behaviour into the implementation — not onto it.
The decisions made during implementation are permanent in ways most teams do not anticipate. System prompt architecture, retrieval design, context configuration — these shape how an agent reasons from the first interaction through to the last.
Learn moreAgent Behaviour Maturity Assessment
We assess how well your deployed agents are being governed — and what needs to change before you scale.
For enterprises with agents already in production. Evaluated across six dimensions using the AI Agent Behaviour Maturity Model (AABMM), with findings mapped against NIST AI RMF and ISO 42001.
Learn more
Behaviour Intelligence Platform
You’ve defined your agents’ behaviour. Now measure whether it holds.
We built AegentIQ because we kept designing governance frameworks for enterprise clients and arriving at the same problem: once the engagement ended, there was no adequate instrument for measuring whether agents were still behaving as designed. AegentIQ is that instrument. The service builds the standard. The platform measures whether it holds.
AegentIQ gives your organisation three things once agents are in production:
- AegentScore™ — continuous behavioural scoring for every agent in your fleet
- Insights Report — actionable, board-ready evidence for your risk function and regulators
- Continuous behaviour monitoring — drift detected before it reaches your customers or operations
No access to model internals required. Integrates with IBM WatsonX Governance.
Learn about AegentIQTechnology Partners
Co-Founded By
25 years of enterprise AI/ML experience across JP Morgan Chase, Visa, and LendingClub.
25+ years of operational experience taking startup from 0 to $3M+ ARR
Works With
Our methodology and AegentIQ work with any enterprise AI agent deployment — regardless of the underlying platform or who built the agents.
LLM Providers
Agent Frameworks
Enterprise AI Platforms
The next step in your AI agent journey
Preparing to deploy AI agents?
Start with a Strategic Briefing — we will define the right approach for your organisation, identify the right use cases, and outline what well-governed deployment looks like for your context.
Request Strategic BriefingAlready have agents in production?
Start with a governance assessment — understand where your programme stands, identify the gaps that represent the greatest risk, and get a prioritised roadmap for what comes next.
Request Agent Behaviour Maturity Assessment