What data does the performance dashboard show?

It shows metrics like transaction volume per system, error rate, average processing time, and estimated ROI; which metrics take priority is decided together during setup.

How is ROI calculated?

The cost of the manual process before the system went live is compared against the cost of the automated process after; that comparison is made across time saved, error reduction, and capacity gained.

Who can access the dashboard?

Access is defined together with you; typically the team managing the relevant system and the decision-makers get full access.

Technology Services

AI Analytics & Performance Intelligence

What is AI Analytics & Performance Intelligence?

AI analytics is the work of tracking the performance of the agent and automation systems you've built with real-time dashboards, and measuring the return on investment those systems produce.

What problem does AI Analytics & Performance Intelligence solve?

Once more than one AI system is live, which one is actually creating value and which one isn't delivering the expected result can't be judged by intuition. Performance analytics answers that question with data.

How is AI Analytics & Performance Intelligence set up?

01Metric definition: which metric (transaction volume, error rate, time saved) gets tracked for each system is decided.
02Dashboard setup: these metrics are brought together on a real-time dashboard.
03Predictive analytics: an ROI estimate is derived from historical performance data.
04Regular review: which system to scale up or revise is evaluated periodically.

Example use cases

SaaS: Comparing automations

For a SaaS company unsure which automation is actually saving time, the performance dashboard shows each agent's transaction volume and error rate separately.

Retail: Campaign impact

For a retail brand that wants to measure the sales impact of its AI-powered personalization system, predictive analytics reports that impact on a per-campaign basis.

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