CFO-grade savings projection

How much could AI cut your customer-support cost?

Ten questions turn ticket volume, channel mix, and team profile into a defensible annual savings range, a deflection percentage, and a SaaS-vs-custom payback verdict. Free, vendor-neutral, methodology open and audited in CI.

Free preview without an email. Work email reveals the full breakdown + board-ready PDF.

Why CS

Customer support is the highest-ROI AI investment in 2026.

The volume is repetitive, the questions are bounded, the deflection benchmarks are public, and the savings show up on the P&L the same quarter. No other AI use case combines this much data with this short a payback window.

Volume

Tier-1 is 60-80% of tickets

FAQ, account lookups, status updates, password resets - the deflection-friendly bucket dominates volume in nearly every industry.

Benchmarks

Public deflection data exists

Salesforce, Gartner, McKinsey, Crescendo, and Zendesk all publish per-industry deflection ceilings. Modelling at industry-specific rates avoids both over-promise and under-delivery.

Payback

P&L impact in the same quarter

Mid-market SaaS deployments pay back in 5-12 months. Custom builds amortise in 12-24. Both are short relative to other AI bets.

What we calculate

Five numbers that turn a hunch into a board memo.

The wizard returns the same set of numbers every time - deterministic, vendor-neutral, sourced.

  • Deflection

    40-85%

    Industry deflection range

    Tier-1 deflection ceilings differ enormously - we model each of 30 industries against published benchmarks.

  • Annual savings

    $0.6M+

    Typical mid-market projection

    Net annual savings range, after the four hidden-cost buckets are subtracted from gross.

  • Payback

    5-24 mo

    SaaS vs custom payback

    SaaS pays back fastest (5-12 months); custom amortises over 12-24 but compounds at scale.

  • Hidden costs

    15-25%

    Subtracted from gross savings

    Token spend, integration, training data, QA + supervision - vendor pitches almost never include these.

  • Build-vs-buy

    74 / 6 / 20

    SaaS / Custom / Hybrid

    Current verdict distribution across 50 synthetic scenarios. CI-enforced SaaS floor of 40%.

How it works

From inputs to projection in 60 seconds.

  1. 01

    Ten questions

    Industry, country, ticket volume, channel mix, handle time, agent cost, headcount, hours, languages, complexity. Country defaults pre-fill agent rates from BLS, ONS, ABS, and Eurostat.

  2. 02

    Rule engine evaluates

    Inputs cross-referenced against 30-industry deflection benchmarks (Salesforce, Gartner, McKinsey, Crescendo, Zendesk), channel modifiers, hidden-cost ranges, and the build-vs-buy rubric. Same answers, same output, every time.

  3. 03

    You get the projection

    Annual savings range, deflection rate, channel breakdown, hidden-cost taxonomy, build-vs-buy verdict, payback period, three-year ROI, and a board-ready PDF.

Who this is for

Built for the buyer, not the vendor.

CFOs sanity-checking the ROI. Heads of customer service planning their AI roadmap. Founders deciding whether to build or buy.

  • CFO

    Defensible savings range, payback period, three-year ROI, and a hidden-cost taxonomy that survives audit.

  • Head of Customer Service

    Channel-by-channel breakdown, deflection benchmarks against your industry, and a 90-day rollout roadmap.

  • Founder / CEO

    Build-vs-buy verdict in 60 seconds with industry-specific defaults. No vendor pitch in the loop.

Methodology v1.0 - April 2026

Transparent, deterministic, refreshed quarterly.

Every benchmark, channel modifier, and hidden-cost range is published with sources cited. The build-vs-buy distribution gate is in CI as a public test - SaaS must be recommended in at least 40% of synthetic scenarios. buzzi.ai builds custom chatbots; honesty is the moat.

Read the methodology
  • Industry-specific deflection benchmarks (30 verticals, 5 sources)
  • Channel modifiers: chat 1.00, email 0.85, voice 0.65, social 0.90
  • Hidden-cost taxonomy: token, integration, training, QA
  • 0.85 residual haircut for escalations + AI runtime drag
  • CI-enforced SaaS recommendation floor of 40%

Frequently asked

Questions buyers ask.

How accurate is the savings projection?

The projection uses public deflection benchmarks from Salesforce, Gartner, McKinsey, Crescendo, and Zendesk, and applies a 15% conservative haircut for residual escalation, AI runtime overhead, and supervision drag. Expect Β±20% accuracy on the mid estimate when your ticket volume and handle time are reasonably well-known.

Why does the calculator recommend SaaS sometimes when buzzi.ai builds custom?

Honesty is the moat. The recommendation engine is rule-based and audited in CI: SaaS must be recommended in at least 40% of synthetic scenarios. If your inputs favour SaaS, that is what the tool says β€” even though we build custom-trained chatbots.

What ticket complexity counts as simple, medium, or complex?

Simple = FAQ, account lookups, status updates (the 70-80% AI-deflectable bucket). Medium = bookable steps such as cancellations, address changes, or refunds. Complex = multi-system or judgement calls that humans still own.

Why is voice deflection lower than chat?

ASR error rates and intent ambiguity cap voice deflection. We model voice at 65% of chat effectiveness β€” improving rapidly but still significantly harder.

What hidden costs does the tool include?

Token / API consumption (10-15% of gross savings), helpdesk integration ($25K-$35K one-time), training data prep ($12K-$18K one-time), and ongoing QA / supervision (~8% of agent cost). All are subtracted before showing net savings.

How does the build-vs-buy logic work?

A rule-based score: low volume + simple tickets + single language β†’ SaaS. High volume + complex tickets + regulated industry β†’ custom. Mid-range or mixed signals β†’ hybrid (SaaS for tier-1, custom workflows for tier-2/3).

Can I change the assumptions on the results page?

Yes. The editable assumptions panel lets you override AHT, agent cost, ticket volume, and the deflection rate. The model recomputes in the browser as you change values β€” no server round-trip.

Do you store my submission?

Only if you sign in to unlock the full breakdown + PDF. Anonymous previews are not persisted. Your row is private to your account; we never sell or share it.

How is currency handled?

The tool detects your country and pre-fills the currency (USD, GBP, EUR, AED, SGD, AUD, INR, or CAD). All cost figures are formatted in the chosen currency on results, PDF, and emails.

How often are the benchmarks refreshed?

Quarterly, from Salesforce State of Service, Gartner CIO Survey, McKinsey State of AI, Crescendo CX Benchmarks, and Zendesk CX Trends. Each refresh re-runs the SaaSβ‰₯40% distribution gate.

Is the methodology open?

Yes. Every benchmark, channel modifier, and hidden-cost range is published on the methodology page with sources cited. The build-vs-buy distribution gate is in CI as a public test.

Can buzzi.ai help me build a custom chatbot?

Yes. If your projected savings exceed $300K/year and the recommendation is custom or hybrid, we will deliver a written deployment plan in 14 days. The contact form on the results page routes directly to a senior delivery consultant.

Want a second opinion?

Run your projection past buzzi - free 30 min.

No pitch. Senior delivery consultants will walk through your projection, sanity-check the build-vs-buy verdict, and tell you which patterns we have seen end deployments badly.

Book the call