Your AI is talking to customers.
Measure what it's actually doing.
XiByte instruments every AI interaction in your stack and turns it into two numbers your board understands: the XiByte Performance Index and the Customer Impact Score.
// deploys read-only in under 20 minutes — no model changes required
Measure AI performance and customer impact in one place
Chatbots, voice agents, copilots, email automation — XiByte taps the event stream you already have and scores every interaction as it happens.
Real-time interaction scoring
Every conversation gets a resolution, sentiment, and effort score within seconds of closing — no sampling, no surveys.
Drift & regression alerts
When a model update quietly degrades outcomes, you know before your customers post about it.
ROI & value attribution
Ties AI outcomes to saved handle time, deflected tickets, and retained accounts — in dollars, not vibes.
Board-ready reporting
Weekly XPI and CIS digests your leadership can read in ninety seconds, exported straight from the console.
The scoring system behind XiByte
Most AI dashboards drown you in metrics. We compress them into two calibrated indices, benchmarked across industries.
How well your AI performs the job
A graded A+ through F index of technical and operational performance, recalculated hourly against your baselines and peer benchmarks.
What your AI does to the humans
A 0–100 score of net customer outcome: did the interaction leave the customer better off, faster, and more likely to stay?
Instrument → Score → Act
Three steps from zero visibility to a live impact console. Read-only by default; nothing touches your models.
Connect your event stream
Point XiByte at your conversation logs, webhooks, or warehouse. Native connectors for the platforms your agents already run on.
Calibrate the indices
Our scoring engine learns your baselines in the first 72 hours, then benchmarks XPI and CIS against anonymized peers in your vertical.
Route, fix, prove
Drift alerts route to your team, regressions get flagged with the exact conversations that caused them, and savings show up in dollars.
Estimate your Customer Impact Score
Feed the estimator your current AI operation. It runs the same weighting model as the platform's onboarding calibration.
Your AI operation today
Rough numbers are fine — the model normalizes for volume.
Model v3.2 · weights: outcome .35 / sentiment .30 / effort .20 / retention .15 · benchmarked against anonymized vertical cohorts. Estimates only — request a calibrated readout at support@xibyte.com.
Built by operators, not observers
We ran AI at scale before we measured it — and got burned by dashboards that couldn't answer "is this thing actually helping?"
Sean
Designed the XPI and CIS weighting models and the peer-benchmark methodology. Believes every metric should survive a board meeting.
Reach Sean →Emily Johnson
Took two AI-automation platforms from zero to multi-tenant production. Owns positioning, product, and the customer's first ninety days.
Reach Emily →Diane Morgphingy
Builds the scoring engine and the pipeline that keeps 40M daily events flowing without dropping a signal. Allergic to sampling.
Reach Diane →Stop guessing what your AI is doing to your customers.
Live console in under 20 minutes. Calibrated scores in 72 hours.