INDEPENDENT WORK SAMPLE Fictional starting values · Local calculation
Sebastian Becerra

THE CONTACT CENTER AI BUSINESS CASE

When does
contact center AI
pay for itself?

Compare the human spend you can avoid with AI usage, recurring fees and setup. Include handoffs and repeat contacts before you call it a saving.

Build your scenario

THE ECONOMICS EXPLORER

Set up your scenario.

All costs in USD.
Values rounded for display.

Try a fictional scenario

All starting inputs are fictional. Replace them with your costs and pilot estimates.

01

Enter your human baseline

Use one channel and one comparable group of issues.

issues

First contacts only. Repeats are added below.

min

Include talk, hold and after-call work.

$/ hr

Per productive handling hour, including pay and allocated overhead.

Baseline repeat contacts 12%
%

Applied to direct-human and handed-off issues. Each repeat takes the same handling time.

02

Set routing and follow-up

Use figures you can verify in a pilot.

60%
All humanAll AI first
20%

Share of AI-routed issues, not all issues.

8%

Within your chosen window, e.g. 72 hours. Each gets one human follow-up.

Handoff overhead 1 min
min

Added once per initial handoff, on top of normal handling time.

03

Add the AI program costs

Replace these fictional figures with your proposal and internal costs. Include all quoted usage, recurring and setup charges.

$/ attempt

Charged on every AI start, including handoffs. Convert your actual contract to this unit.

$

Per month: platform, review, administration.

$

Integration, training, change management.

40%

Time saved does not reduce payroll by itself. Count only spend you can remove or avoid, such as overtime or planned hiring.

MODELED YEAR-ONE CASH IMPACT

LIVE SCENARIO
Calculating…net savings after all modeled AI costs

Human capacity releasedhours per year, not cash savings
Simple cash paybacksetup cost ÷ monthly net benefit
◎

0% routed to AI100%

A scenario, not a forecast. Steady-state performance from month one; no revenue, quality or risk benefits monetized.

Your inputs stay on this device. Downloads include the assumptions and limits.

Where the work goes

PER MONTH

Follow new issues through the model.

Human first
AI → human handoff
AI → repeat contact
AI, no repeat in window

Counts are expected values, rounded for display. No repeat within the window does not prove resolution or satisfaction. Existing human repeat contacts are included in costs, but excluded from this first-issue flow.

Year-one cost comparison

YEAR ONE
Human-only baseline
With AI program
Human capacity value released
Portion counted as cash benefit
AI usage + recurring program
One-time implementation
Net year-one cash impact

Baseline assumes loaded cost scales with handling time. Unconverted capacity stays in human spend. Additional human work, if any, is charged in full.

If more calls need a human

HANDOFF SENSITIVITY

Year-one cash impact if the handoff rate moves. Every other input stays fixed.

OPEN THE MODEL

Check the assumptions.

This calculator estimates changes in cost to serve. Revenue, customer experience and risk require separate measurement; none is assigned a dollar value here.

How are the numbers calculated?

Baseline human hours = new issues × (1 + human repeat rate) × handling time ÷ 60.

With AI, direct-human and handed-off issues retain that human repeat rate. AI-contained issues that return create one human follow-up, with no further repeat in this simplified model. Every handoff also adds the extra minutes you specify.

Positive capacity value × your cash-conversion share = avoided human spend. Additional human cost is counted at 100%. Subtract AI usage, monthly program costs, and one-time setup to get year-one cash impact.

Payback uses steady monthly benefit. Routing break-even varies only the fraction sent to AI, holding handoffs, repeat contacts and all costs constant.

What is intentionally missing?

Ramp-up, seasonality, staffing schedules, minimum staffing levels, contract tiers, discounting, taxes, and later repeat-contact chains. Fixed program costs apply even at zero routing. Each initial issue can create at most one repeat contact. The model assumes any human follow-up completes the modeled journey.

“No repeat in window” is not the same as successful resolution. Validate first-contact resolution, customer satisfaction, abandonment, compliance, and escalation quality separately before expanding a pilot.

Who made this and how?

Sebastian Becerra directed the original independent concept. AI tools assisted the implementation. OpenAI Codex prepared the standalone version, exports and verification. The original build model and version are not verified.

The example inputs are fictional. This build has no measured organic, AI-citation or pipeline results. It demonstrates a working buyer tool and a transparent economic model.

BEFORE YOU COMMIT

What should you verify in a pilot?

Ask for same-issue recontact rates, the human handoff workflow, and every cost in the proposed deployment.

Year-one cash impact Calculating…View result ↓