See how much you
can save with AI.

This calculator uses figures from official government wage data and published industry benchmarks — including the methodology industry-leading AI support vendors publish for their own ROI calculators — not internal or promotional numbers. Sources are listed below — adjust any input to match your actual numbers.

Default cost-per-agent, by region (fully loaded: base pay + payroll taxes/employer contributions + benefits):

• United States — $4,450/mo:
  U.S. Bureau of Labor Statistics, Occupational Employment and Wage Statistics: median hourly wage for Customer Service Representatives, $20.59 (May 2024). Grossed to a monthly figure at 173.3 average working hours/month, loaded at 1.25× for payroll taxes and benefits.
• United Kingdom — $4,250/mo:
  UK Office for National Statistics, Annual Survey of Hours and Earnings (ASHE) 2024: median full-time hourly earnings, £18.64. Grossed to a monthly figure at 152 hours/month, loaded at 1.18× for employer National Insurance and pension contributions, converted to USD.
• European Union — $5,420/mo:
  Eurostat, average hourly labour cost in the services sector, EU-27, €33.30 (2024) — this figure already includes employer social contributions. Grossed to a monthly figure at 152 hours/month, converted to USD.

Other assumptions:

• The AI Agent augments your team, it doesn't replace it: automation is capped at 85%. Independent industry benchmarks show top-performing AI deployments reach 80–84%, particularly in ecommerce and subscription businesses with well-structured knowledge bases — Wrennon is trained directly on your own catalog. Typical deployments land lower, at 55–70%.
• Resolution rate definitions vary across vendors — some count any conversation the customer didn't escalate as "resolved" (deflection), others require a verified fix (true resolution), which can differ by 20–30 points for the same deployment. This calculator uses the stricter, more conservative end of published ranges.
• At least 20% of agents stay on for escalations, edge cases, and oversight, with an absolute floor of 1 agent. The 20% figure is a reasonable operational buffer, not a cited statistic; the floor of 1 reflects standard business-continuity practice — avoiding a single point of failure — rather than a specific published number.
• Average handle time: 6 minutes per ticket, per Zendesk's own published customer service benchmarks.
• Cost per ticket: calculated as your fully-loaded hourly cost per agent × average handle time — the standard contact-center "cost per contact" formula (e.g. a $25/hr fully-loaded agent at a 6-minute AHT works out to roughly $2.50/contact, per published call-center costing benchmarks). This is deliberately not "total team spend ÷ ticket volume": that ratio only holds if your whole team's hours are fully consumed by your stated ticket count, and produces unrealistic per-ticket costs whenever your ticket volume and agent count aren't proportional. Anchoring to time × rate keeps the figure stable and realistic at any input size.
• AI cost only applies to overage: chats within your plan's included monthly allowance are already covered by your flat plan fee. Only automated chats beyond that allowance are charged, at $0.75/chat — in line with Wrennon's own flat overage rate and within Gartner's 2025-reported range of $0.50–$1.05 per AI-handled ticket.
• Handle-time reduction on remaining human-handled tickets: 10%, a conservative internal assumption for copilot-assisted agents — not drawn from a specific published study.

How the output values are calculated:

• Annual labor cost (baseline, for context and team-capacity figures):
  Agents × monthly cost per agent × 12
• Cost per ticket (time-based, independent of your ticket/agent ratio):
  (Monthly cost per agent × 12 ÷ 2,080 FTE hours) × average handle time
• Gross savings (following the published methodology industry-leading AI support vendors use for their own ROI calculators):
  (Automated tickets × cost per ticket) + (Remaining tickets × cost per ticket × handle-time reduction) − AI overage cost
• AI overage cost:
  max(0, automated chats − your plan's included annual allowance) × $0.75
• Team capacity freed (informational only, doesn't gate the savings above):
  min(automated ticket-hours ÷ 2,080 standard annual FTE hours, Agents − retained agents)
• Net savings:
  Gross savings − your annual Wrennon plan cost
• Annual time saved:
  (Automated tickets × handle time) + (Remaining tickets × handle time × handle-time reduction)
• Return on investment (shown as its true value, including negative, so an input combination that doesn't pay off is visible rather than hidden):
  Net savings ÷ annual Wrennon plan cost
• Payback period:
  (Annual Wrennon plan cost ÷ gross savings) × 12 months
• Service cost impact:
  Net savings as a percentage of your current annual labor cost.

The Wrennon AI Agent works alongside your support team — it does not replace it. This calculator caps automation at 85%, in line with published industry benchmarks showing top-performing AI deployments in ecommerce reach 80–84% automation. It also assumes at least 20% of your current agents (or 1, whichever is larger) remain on your team regardless of automation rate, to handle escalations, edge cases, and oversight — a conservative operational buffer, not a specific published industry figure.

The estimates provided are for illustrative purposes only. Actual results may vary, and will depend on a variety of factors such as implementation practices, user adoption, and external economic conditions. Wrennon does not guarantee any financial outcomes or benefits, and is not responsible for the accuracy of the calculations.