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Operations & Insight

Both workforces. One set of numbers. Built-in BI & Analytics.

AI workers and advisors reported on the same pane, against the same definitions, on the same clock. Volume, AHT, FCR, QM score and cost per contact — live, with drill-through to the interaction behind every figure.

A supervisor presenting live contact-centre dashboards to colleagues beside the operations floor
Standard reports Custom reports Scheduled delivery Export & API
1
Pane for both workforces
0
Spreadsheets to reconcile
Live
Not a report that lands tomorrow
1 click
From a number to the interaction
The reporting problem

Two stacks produce two truths.

When AI and human work are measured in different systems, the totals disagree, the definitions drift, and the number that reaches your board meeting was assembled by hand.

Separate stacks
Two reports that never reconcile
Totals differ by 1,847
AI platform report
Contacts handled 3,856
Average handle time 1:42
First-contact resolution n/a
QM score n/a
CCaaS report
Contacts handled 2,009
Average handle time 4:12
First-contact resolution 71%
QM score 9.1 · 3% sample
Neither report can answer a question about the whole floor — so someone rebuilds it in a spreadsheet every Monday.
AIWRKR
One pane, both workforces
Reconciled by construction
Workforce Contacts AHT FCR QM
AI workers · voice 2,412 1:38 93% 9.3
AI workers · digital 1,444 1:51 89% 9.0
Advisors 246 4:12 82% 9.2
Whole floor 4,102 1:52 91% 9.1
Same definitions, same clock, both workforces — because it is one platform writing one set of numbers.
Detected in the last hour Live
Roaming queries up sharply Digital · WhatsApp · Mumbai +24% 6m
Containment fell below target Voice inbound · billing −4.2pt 22m
Repeat contacts on one fault Chat · service requests +38 34m
AHT improved after prompt change AI workers · digital −11s 51m
✓ 4 alerts, all with drill-through
Evaluated continuously
Anomalies, not dashboards

The number finds you before you go looking.

Thresholds and trend breaks are evaluated continuously against both workforces. Each alert carries the drill-through to the interactions that caused it.

Alerts on volume, sentiment, containment and SLA drift
Every alert drill-through resolves to the actual interactions
Same definitions for AI and human work, so trends are comparable
Retention & compliance

Where the numbers come from — and where they can go.

Data path · from interaction to board pack No nightly batch
Live stream · sub-second
Warehouse · queryable history
Export · your own BI tool
Scheduled reports
Board packs and daily operations reports, delivered on time.
Alerting
Thresholds and trend breaks pushed to the people who act on them.
Drill-through
From any figure to the interactions and recordings behind it.
Bring your own BI
Export to the tool your analysts already work in.
Power BI Tableau Looker Snowflake
What moves on your floor

One number everyone argues from, not about.

One pane, both workforces Live, not lagging a day Definitions that match Drill-through to evidence No manual reconciliation
Against separate AI and CCaaS reporting
Reports to reconcile
2+
1
Time to a floor-wide number
Next day
Live
Drill-through to interaction
No
1 click
QM coverage in the numbers
3%
100%
Typical beforeWith AIWRKR
Under the hood

One platform means one set of definitions.

Both workforces write to the same interaction and case objects, so metrics are computed once from one source. There is no nightly job stitching two vendors' exports together and no place for the definitions to drift.

See the Integration Layer →
Single event stream
Every AI and human interaction, one schema
Metric layer
AHT, FCR and containment defined once, centrally
Drill-through
Any figure resolves to its underlying interactions
Export & warehouse
Queryable history and feeds to your own BI tool
Across the platform

What the numbers are built from.

Bring last month's board pack.

Show us the numbers you reported and how long they took to assemble. We'll show the same month on one pane, with drill-through to every interaction behind them.