NewNew: The enterprise guide to Agentic AI — 24 min read.
Read →Billable volume removed, gross-margin lift net of renewal concessions, and the delivery model that keeps you ahead of outcome-based pricing.
Every calculator is ungated, gives conservative, base and aggressive scenarios, and exports an enterprise-styled PDF with your inputs.
Gross-margin lift when AI removes billable volume — modelled net of client price concessions at renewal.
Open calculator →Voice AI, agent assist and automated QA applied across the seats you run for clients today.
Open calculator →Transaction processing, exceptions and rework across outsourced back-office queues — hours and dollars returned.
Open calculator →Voice AI per minute against an occupancy-adjusted offshore seat, with escalation and cost per contained call priced in.
Open calculator →Three-year TCO for an in-house AI delivery capability versus platform plus partner delivery.
Open calculator →How much per-contact revenue AI removes before pricing renegotiation.
Gross-margin lift after the share of savings clients expect back at renewal.
Blended agent, supervisor and QA cost once AI handles the deterministic tail.
Ramp, attrition and redeployment modelled instead of a flat headcount cut.
Automated QA across 100% of contacts as a contract differentiator.
Three-year TCO of an in-house AI delivery team against platform plus partner delivery.
Three delivery organisations that re-priced AI-led operations using the same margin, concession and seat-reduction logic as this calculator.
Deterministic contact tail automated across three logos, with savings share negotiated into a two-year renewal.
Gross margin, net of concessions
Billable volume automated
Payback
"We brought the savings to the client before they asked for them, and kept most of the margin by moving to outcome pricing."
COO, business process outsourcer
AI-led delivery pod deployed as a partner model instead of an in-house build, compared on three-year TCO.
3-yr TCO avoided
Faster to first logo
Contacts QA'd
"Building the platform ourselves was an 18-month detour. Partnering let us bid AI-led pricing in the next cycle."
SVP Delivery Transformation, CX provider
Claims intake, eligibility checks and rework reduction automated with compliance evidence per transaction.
Rework removed
Cost to serve down
Contracts repriced
"Automated QA across every transaction became the differentiator in two competitive renewals."
Managing Director, back-office delivery
Client names withheld under NDA. Outcomes are measured programme results, not calculator projections.
Bring a client contract structure and volume mix. In 30 minutes we validate the margin model with you and outline a 90-day path to AI-led delivery that survives renewal conversations.
Not necessarily. The BPO margin model shows gross-margin lift net of the price concession clients expect at renewal — so you can see the outcome-based pricing shift before it happens to you.
You set the concession share explicitly. Most renewal conversations land between 30% and 60% of the gross saving returned to the client; the model shows margin at any level you choose.
Start with the intents AI removes reliably, price those on resolution rather than seats, and keep FTE pricing on the complex tail while quality data accumulates.
The build-vs-buy model compares three years of in-house team cost, including hiring and attrition, against platform plus partner delivery and time to value.
