AI chatbot ROI is a cost model, not a product review. The question is:
If we add a bot on a named meter, what happens to verified resolutions, leftover handle time, and the invoice?
Guzli wrote this page. Desk research of public pricing, read 19 September 2026. Sources: Fin pricing, Guzli /pricing/. Evaluation criteria sit in the buyer’s guide. This is not a customer case study and not a promise that your rate will match the examples.
What to count
Verified resolution — the customer got the correct outcome and did not come back inside a window you chose before the pilot (seven days is a common choice). Silence is not resolution.
Residual work — the tickets that remain are usually harder. If average handle time on leftovers rises, part of the “deflection” never hits the bank.
Correction cost — a wrong bot answer that a human must undo often costs more than the original ticket. If you cannot sample transcripts, you cannot claim savings.
Do not count a conversation as saved when the visitor left, the bot said “I don’t know” and closed, or the same person opened a new thread two days later.
The identity
Annual ROI = (Annual benefit − Annual AI cost) / Annual AI cost
Annual benefit =
(verified AI resolutions × fully loaded human cost per ticket)
+ (minutes saved on leftover tickets × fully loaded minute cost)
+ attributed meetings or recovered checkout you can actually tie to the thread
− correction cost on wrong-bot tickets
Annual AI cost =
subscription + usage meter + implementation hours + content and quality-assurance (QA) timeFully loaded human cost is payroll + benefits + the desk you already pay for, divided by tickets that person resolves. If you do not have that number, stop and get it from finance. Do not paste a vendor “$8 per ticket” benchmark into a board slide.
A CFO-oriented writeup makes the same point: a 50% containment rate is not a 50% cost cut.
Public meters you can put in the denominator (19 September 2026)
Fin — fin.ai/pricing: $0.99 per billable outcome (resolution, procedure handoff, or disqualification). Qualifications $9.99. What counts as a Fin outcome is one charge per conversation. Fifty-outcome monthly minimum when Fin sits on your current help desk. Intercom help-desk seats from $29/teammate. Copilot $35/user/month. Fin Voice is custom / sales-partnered. Salesforce closed its acquisition of Fin (formerly Intercom) on 10 September 2026.
Guzli — /pricing/: Hobby $49/mo chat-only (1,000 message credits, 1 member). Standard $149 + 16¢/min talk (5¢/min transfer, 3 concurrent). Pro $499 + 14¢/min (4¢ transfer, 8 concurrent). Extra credits $12 / 1,000. Widget stays up on overage. No trial unless checkout shows one.
Chatbase — chatbase.co/pricing: Free 50 credits, Hobby 700, Standard 4,000, Pro 15,000. Read the live dollar column; this page does not invent a JS-rendered price.
Worked example (labeled assumptions, not a Guzli customer)
Assumptions you must replace with your own numbers:
- 800 support conversations / month, all chat
- Fully loaded human cost $10 / resolved ticket (your finance figure)
- Pilot verifies 25% true resolution (200 / month). The other 600 stay human. Residual average handle time (AHT) — minutes a human still spends on leftover tickets — is unchanged in this first cut.
- Assume 4 credits per resolved thread on Guzli (you must measure this). 200 × 4 = 800 credits — inside Hobby’s 1,000. If your threads run longer, Hobby overage is $12 / 1,000 credits, or you move to Standard (12,000 credits).
- No revenue line. No voice. No correction-cost line yet — add one after you sample.
Guzli Hobby path (chat only, credits actually fit): $49 × 12 = $588 / year in subscription only. 200 verified resolutions × $10 × 12 = $24,000 gross benefit. Subscription-only ROI ≈ ($24,000 − $588) / $588 if the 25% rate is real. Add implementation hours and weekly QA from the identity before you take this to finance — those lines are not in the $588. Do not put 1,000 monthly resolutions on Hobby’s 1,000 credits — that only works if every resolution costs one credit.
Fin outcome path (help desk you already have): 200 billable outcomes × $0.99 × 12 = $2,376, above the 50-outcome monthly minimum. If teammates already sit on Intercom seats, add $29 × seats × 12. Same $24,000 gross benefit. If Fin bills a procedure handoff as an outcome, that is spend without a resolved customer — keep that line separate.
These two rows are not “Guzli is cheaper.” They show why the meter matters. A higher resolution rate on a $0.99 outcome can beat a cheap flat plan. A low rate on outcomes is an expensive way to fail. At 1,000 verified resolutions / month you would model Standard (or credit overage), not Hobby’s $588.
If the bot can finish a Shopify order lookup, a Stripe change under policy, or a Calendly / Cal.com booking, conversations shorten. That shows up as fewer leftover minutes — not as a magic multiplier. Guzli is not a Shopify App Store app; connect the Shopify integration.
How to validate without guessing
- Pick one high-volume intent with a written policy.
- Shadow 100 historical tickets or run 5–10% of live traffic.
- Grade resolution, wrong action, and re-contact on the window you froze.
- Only then fill the identity and compare meters.
Do not decide from a demo. Deployment notes: best practices. If the current desk is Intercom, switch without a big-bang cutover.
A spreadsheet version of the same identity is the ROI calculator. It does not replace your finance cost-per-ticket.
FAQs
How do I calculate AI chatbot ROI quickly?
Take monthly volume × the verified resolution rate × your fully loaded cost per ticket, minus the meter you will actually hit (subscription, per-outcome fees, or message credits). Then prove the rate in a pilot. Do not treat silence or “I don’t know” closes as savings.
What should count as ticket deflection?
Only a correct outcome without a human, inside the re-contact window you froze before the pilot (seven days is a common choice). Track false deflections — abandonment, wrong answers, and same-person follow-ups — separately.
Does the pricing model change ROI?
Yes. Three public meters change the denominator. Seats (help-desk humans) stay on the invoice even when the bot works. Outcomes (Fin’s $0.99 billable resolutions, procedure handoffs, or disqualifications) scale with billed success. Credits (Guzli and Chatbase message credits) scale with thread length. Residual average handle time on leftover tickets still belongs in the benefit line.