AI Contact Centre ROI Calculator

Wage Bill Reduction

Right-size your contact centre team with 24/7 AI handling the volume

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What is an FTE? Full-Time Equivalent: one person working 40 hours per week. For example, one full-time staff member plus one person working 20 hours per week equals 1.5 FTEs.

Current Contact Centre FTEs

2.0 FTEs

1 FTE14 FTEs

Average Annual Salary per FTE

£24,000

£18k£45k

Weekly Hours

80 hrs

across team

Employer On-Costs

+22%

NI, pension, provision

Cost per FTE

£29,280

total employment cost

Total Team Cost

£58,560

current annual bill

Recommended for teams of 2 to 6 FTEs

AI-Optimised Team Size

1.0 FTE

With AI handling 24/7 FAQ deflection, general enquiries, and inbox consolidation, a single coordinator manages exceptions, escalations, and high-value cases during scheduled hours.

FTEs Saved

1.0

40 hrs/week freed

Annual Saving

£29,280

total employment cost

Monthly Saving

£2,440

in reduced wage bill

Employer on-costs modelled at 22% above basic salary, covering UK employer National Insurance (15% above the £5,000 secondary threshold from April 2025), auto-enrolment pension contribution (3% on qualifying earnings), and a provision for recruitment and onboarding. Actual on-costs will vary. Each venue's staffing needs may differ and redundancy or restructuring costs are not included in this model.

What the AI handles instead

24/7 FAQ Deflection

Opening times, pricing, booking queries, directions, policies — resolved instantly without a human.

Inbox Consolidation

All inbound channels unified and resolved by AI: phone, web chat, email, WhatsApp, Facebook, Instagram, TikTok, and Google Business Messages. Human snippets speed up exceptions.

Intelligent Escalation

Complex or high-value cases are raised as tasks, completed during scheduled quiet periods — improving guest-facing attention.

When a case needs a human, the AI handles the handover too: it summarises the conversation, assigns the task to the right person, and ensures nothing is dropped. Your team steps in with full context, not a cold transfer.

AI improves with every month

Real-world data from a live Leisure CoPilot deployment shows call transfer rates (calls passed to a human) falling from 53% in month 1 to 7% by month 7. As the model learns your venue, it handles more autonomously and your team shrinks its contact centre role naturally.

Month 1

53%

human transfers

Month 2

34%

human transfers

Month 3

23%

human transfers

Month 4

15%

human transfers

Month 5

13%

human transfers

Month 6

human transfers

Month 7+

93% autonomous

Missed Revenue Capture

Model the value of enquiries that currently go unanswered or unconverted

Monthly Enquiry Volume (All Enquiries)

1,000 enquiries/mo

1005,000

Estimated Missed / Unconverted Rate

40%

5%80%

Leisure CoPilot Deployment Data

16.9%

of inbound enquiries were product enquiries, across 6,715 enquiries at a live venue over 7 months

83.1%

were general enquiries, FAQs, booking admin, and other topics handled by AI at no revenue cost

Most people contacting you are not enquiring about a specific product. This data grounds the revenue model below, so the calculation only applies to the enquiries that genuinely represent a purchase opportunity.

Product Enquiry Rate (adjust for your venue)

17%

of enquiries are product enquiries

5%50%

Total Calls

1,000

per month

Product Enquiries

170

per month (at 17%)

Currently Being Lost

at 40% missed rate

Missed / unconverted means product enquiries that came in but resulted in no booking: enquiries handled but not followed through, after-hours contacts, or high-value enquiries that needed more nurturing than your team had capacity to provide.

Your top 3 products by enquiry volume

Edit the product names and average order value for your venue. The percentages represent each product's share of your product enquiries (not all enquiries). They are linked and always total 100%. Product 3 adjusts automatically when Products 1 or 2 change.

Product 1

Average Order Value

£400

£50£1,500

% of product enquiries

45%

0%100%

Set this as your highest-value product

Big bookings carry the most hesitation. The higher the price, the more questions a customer needs answered before committing. AI ensures no high-value lead is ever left waiting for a reply.

Product 2

Average Order Value

£20

£5£200

% of product enquiries

35%

0%100%

Product 3

Average Order Value

£30

£5£200

% of product enquiries

20%

0%100%

Enquiry split total: 100%

Gross Product Enquiry Value

£24,140

per month at AOV if all converted

Value Being Lost

£9,656

at 40% missed rate

AI Capture Rate

65%

of previously lost enquiries recovered

What is AI Capture Rate? This is the percentage of previously missed or unconverted product enquiries that the AI successfully recovers into bookings. It applies only to the enquiries already identified as both product-related and unconverted, not to your total enquiry volume. The revenue model runs in three steps: total enquiries multiplied by your product enquiry rate gives the product enquiry volume; that multiplied by the missed rate gives the value being lost; AI Capture Rate (65%) is then applied to that lost value to show what the AI recovers. The 65% is based on observed conversion improvement from AI-assisted follow-up in leisure deployments and is intentionally conservative. Actual results will vary by venue, product mix, and season.

Monthly Revenue Captured

£36,920

additional bookings per month

Annual Revenue Captured

£443,040

additional annual revenue

High-Value Enquiry Note

Always followed up

Premium products need the most hand-holding. AI ensures every enquiry is followed up, 24/7, without exception.

Total Annual Impact

£472,320

combined wage saving and captured revenue per year

Wage Bill Saving

£29,280

Revenue Captured

£443,040

Monthly Impact

£39,360

This model is indicative and directional. Wage savings are based on approximate UK employer on-costs of 22% above basic salary and do not include redundancy or restructuring costs. Revenue capture applies only to product enquiries (not all enquiries), modelled at 65% of missed enquiry value within that subset. The 16.9% product enquiry benchmark is derived from 6,715 enquiries across 7 months at a live Leisure CoPilot venue. Actual results will vary by venue, product mix, team structure, and AI maturity. A full assessment is recommended before implementation.