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Assessment · Calculator · 6 minutes

Model the BPO AI, CX and CCaaS business case your ops leadership can defend.

Tune nine inputs across seats, AHT, containment, AI QA coverage and shore-mix. We return annual gross savings, ROI, payback, margin-point lift and the implementation playbook that matches your dominant lever.

Inputs
Modeled outcome
Annual gross savings
$17,857,125
Net of investment
$17,107,125
ROI
2281%
Payback
0.5 mo
Margin lift
40.7%
FTE equivalent
325
Baseline agent cost$43,875,000
Post-AI agent cost$29,835,000
QA-driven savings$3,159,000
Shore-mix delta$658,125
Contacts deflected3,375,000
Recommended playbook
Contact Center AI Transformation Playbook

Your biggest lever is self-service containment. Start with the deflection blueprint — IVR-to-conversational-AI, intent taxonomy and QA gates.

Open the Contact playbook →
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Save this business case to your lead record.

We'll email you a formatted copy, tag it against your account, and route it to a Pronix BPO strategy lead who can pressure-test the assumptions with you.

  • · Attribution captured (source, campaign, UTM)
  • · Playbook recommendation attached to the lead
  • · No obligation — you own the model

Assumes 1,800 productive agent hours/year and 250 working days. AHT reduction applies only to non-deflected volume. QA-driven and shore-mix savings are directional bands from Pronix benchmark data and should be validated against your queue-level metrics. Use for a defensible board-level business case; a production model should factor CSAT, attrition, technology run-cost and client-side pass-through commercials.