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Business Value
7 min read

The Authentication CFO Case: Building the ROI Math for a Passkey Rollout

Most passkey programs are launched on a security argument and extended on a CFO argument. The four cost categories that move when passkeys arrive, grounded in published 2025-2026 industry data, and the payback math that makes the spend defensible.
Written by
Toby Rush
Published on
May 19, 2026

TL;DR

  • The CFO case for passkeys reads in four cost categories: SMS OTP messaging spend, support and password-reset costs, fraud losses, and conversion / activation lift.
  • Industry data points to 60–80% reductions in password-reset tickets, 70–90% reductions in SMS messaging volume, and ROI payback inside 12–18 months for most consumer-facing deployments.
  • Password resets run $30–$70 per incident depending on whether they are self-service, agent-assisted, or escalated, making support deflection the largest dollar lever for most banks.
  • Fraud-loss reduction is real but harder to model precisely; the right CFO framing is a confidence interval anchored on a documented mechanism, not a point estimate.
  • Ideem's Passkeys+ provides the production telemetry banks need to convert these projections into board-ready post-deployment numbers.

Most authentication programs at banks are launched on a security argument. They get extended on a CFO argument. By the time a passkey rollout is into its second year of customer enrollment, the question every executive committee is asking is what the program actually saved — and what it should save next quarter.

This post is the CFO case for a passkey rollout. It's written for the leaders who have to defend the spend, the analysts who have to model it, and the security teams that need to communicate value in language the finance function recognizes. The structure is the four cost categories that move when passkeys arrive, each grounded in published 2025–2026 industry data and the patterns real deployments are reporting.

Cost category one — SMS OTP messaging spend

Every bank using SMS OTP is paying per message. The going rate in 2026 ranges from roughly $0.01 to $0.05 per message depending on volume, carrier, and country, with U.S. consumer banking traffic typically in the $0.02–$0.03 band. Sounds small. It isn't.

A bank with 5 million active customers sending an average of two SMS OTP messages per customer per month is sending 10 million messages monthly. At $0.025 per message, that's $250,000 a month — $3 million a year — in messaging spend alone.

Published 2025–2026 benchmarks suggest passkey rollouts reduce SMS OTP volume by 70–90% as customers enroll and shift to passkey-based sign-in. For the $3M example, even a conservative 70% reduction is $2.1M of recoverable annual spend, ramping with adoption. Comparable consumer deployments outside banking have reported in this range — Air New Zealand, for instance, achieved roughly 90% SMS cost savings via a passkey-plus-WhatsApp-OTP migration. The mechanics for banks are identical.

For the CFO conversation, the SMS line item is the easiest to defend. The unit cost is in the bank's existing carrier invoice. The volume reduction is observable in production. The savings line item shows up on the next quarter's reporting.

Cost category two — support and password reset

Industry estimates of password-reset cost per incident span a wide range, with the most-cited band being $30–$70 per reset depending on whether the reset is self-service, agent-assisted, or escalated. Banks at the higher end of the band tend to be those still relying on agent-assisted resets — call-center time, identity verification, written follow-up.

Published case data through 2025–2026 reports 60–80% reductions in password-reset ticket volume after passkey enrollment passes a meaningful threshold of active users. For a bank handling 200,000 password-reset incidents annually at $50 per incident, that's a $10M annual cost base, of which $6M–$8M is recoverable.

This category is usually the largest dollar lever. It also tends to be the most defensible in board conversations because the reduction is auditable from the bank's existing helpdesk reporting.

Cost category three — fraud loss reduction

Fraud is where the savings get larger and harder to model. Banks that have rolled out passkeys at scale through 2025–2026 are reporting meaningful reductions in successful AiTM phishing, SIM swap, and credential-stuffing attacks — but the dollar value of avoided fraud depends on what the bank was losing before and how the attacker population responds afterward.

The right CFO framing is a confidence interval. A reasonable lower bound is the bank's current quarterly ATO fraud-loss line multiplied by a 20–40% reduction. The upper bound, in the institutions reporting strongest results, is closer to 60–80% reduction in ATO fraud volume for enrolled customers. The center of the distribution is the planning number.

What CFOs respond to in this category is not the headline number but the mechanism. SMS OTP fails against adversary-in-the-middle phishing. Passkeys don't. The reason is cryptographic, not statistical. That fact moves the discussion from "are we hoping for a fraud reduction" to "we have removed the attack vector that produced a large fraction of last quarter's losses."

Cost category four — conversion and activation lift

The under-appreciated category is the new revenue passkeys produce by reducing friction at sign-in, account opening, and step-up authentication. Strong deployments are seeing measurable conversion lift on mobile account-opening completion (typically a 5–15% relative lift when passkey enrollment is offered during onboarding), login success rates on returning sessions (15–30% relative improvement in identifier-first flows), and cart abandonment in card-not-present commerce.

For a bank where digital channel revenue moves with completion rate, this is a P&L line, not a cost line. Done well, this category is the one that takes the passkey program from a cost-savings story to a growth story.

Putting it together — payback and ROI

The aggregate picture from published 2025–2026 deployments converges on a 12–18 month payback for most consumer banking passkey programs, with high-volume institutions paying back faster. For a mid-size bank, the order-of-magnitude annual benefit picture often looks like:

  • SMS savings: $1M–$5M
  • Support cost deflection: $3M–$10M
  • Fraud loss reduction: $2M–$15M (wide confidence interval)
  • Conversion lift: $2M–$8M (varies by digital revenue mix)

Against an investment in the platform, integration work, change management, and customer communication that typically runs $500K–$3M for a mid-size bank, the math works out at virtually every scale that's been publicly reported. A separate Corbado business-case analysis reaches similar conclusions for the broader consumer market.

Where Ideem fits

Ideem's Passkeys+ is built for the financial services market, with the rollout patterns, observability, and policy controls a regulated bank needs to capture each of the four cost categories without spending engineering cycles building the supporting machinery. The platform plugs into the bank's existing identity stack — Okta, ForgeRock, Ping, or homegrown — so the rollout doesn't require a re-platform.

More importantly for the CFO conversation, Passkeys+ ships with the telemetry that turns projections into evidence. Enrollment rate by channel. SMS volume retired. Helpdesk tickets deflected. Sign-in success rates by browser and device. Conversion lift attributable to passkey enrollment. The CFO doesn't have to wait two quarters for an internal analytics build before the program shows up on the spreadsheet.

The honest answer is that the CFO case for passkeys has stopped being theoretical. The 2025–2026 data is in. The savings categories are documented. The payback periods are reportable. Banks that build the case around real numbers will defend their spend. Banks that wait for a more comprehensive industry study will be the ones writing the case study for everyone else next year.

Sources

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