Nando tells you what to worry about first.
A capability of the Axonyx platform. See what is included in Core and Enterprise →
Live AI dashboards and virtual advisors that turn enterprise AI activity into clear insight, risk summaries and recommended action.
AI activity is spread across teams, tools, agents, models and providers. Axonyx brings it into one live view: usage, risk, cost and control performance, without digging through disconnected systems.
Built-in virtual advisors, including vCISO and Cost Optimiser, analyse platform data and generate plain-English briefings, summaries and next-best actions.
Book a demoOne view of your AI estate
One executive dashboard for AI usage, risk, cost and compliance. A shared real-time view, not a collection of partial reports.
- Active users, models, agents and providers at a glance
- Risk hotspots and policy activity, colour-coded
- Cost and carbon trends across the estate
AI risk briefings without the manual chase
The virtual CISO turns live data into security and risk summaries. It reviews activity, policy triggers, data exposure and emerging control gaps, then says what to fix first.
- Plain-English risk summaries and key concerns
- Recommended actions with supporting evidence
- A fast view of what changed, what matters and what should happen next
Control AI spend before it drifts
The Cost Optimiser shows where spend is growing, where model choices are inefficient and where routing would cut the bill. Scale AI without losing commercial discipline.
- Spend trends by team, model and provider
- Routing opportunities to lower-cost approved models
- Estimated savings on selected workloads
Insight is only useful when it leads to action
Insight leads to action. Findings route into investigations, audit evidence and policy changes, closing the loop between oversight and what actually happens next.
- Investigate risks straight from the dashboard
- Adjust policies, routing rules and control thresholds
- Evidence logged and audit reports updated automatically
All your AI, on one screen.
Runs, cost, success rate, DLP violations, model usage, hallucination risk and carbon - live across every model and provider, on one executive dashboard.
Questions we get about the governance dashboard
What does the AI governance dashboard show?
Where your AI risk sits right now, in one place: which teams and applications are using AI, what it is costing, what got blocked, which frameworks are covered, and what needs attention.
It is built for the conversation a CIO has with a board rather than for an engineer reading logs.
What are the virtual advisors?
A set of assistants that read your own activity and tell you what to do about it. Nando handles risk and tells you what to worry about first. Others cover compliance readiness, spend and policy.
They are useful because the raw data is large and the signal in it is small. The advisor's job is to put the three things that matter this week in front of you.
Can we report AI spend by team?
Yes. Spend is attributed by team, application and cost centre, which is usually the first thing a finance director asks for and the hardest thing to answer without a gateway in the path.
Because it comes from actual model calls rather than from invoices, you get it during the month rather than after it.
Can we get board-ready reports?
Yes. Reports can be produced on demand or on a schedule, covering framework coverage, incidents, spend and usage trends.
They are built from the same underlying evidence as the audit packs, so the number a board sees and the number an auditor tests are the same number.
Move from AI chaos
to AI control.
See what your AI is doing, stop what it should not, and keep the proof.
Book a demo