Why 65% of Payments Firms Automating Identity Now

Sixty-five percent of firms are planning to adopt or expand identity automation in the next year, according to new data. PYMNTS Intelligence, in collaboration with Plaid, reveals the most urgent priority in payments modernization isn't a shiny new payment rail or AI tool. It's the foundational, unsexy work of automating know-your-customer (KYC) and identity verification. This 65% figure points to a strategic sea change: the industry's budget is moving from chasing pure transaction speed to building unbreakable, automated trust.

The Once-Boring Back Office Has Become Payments' Main Event

Forget headline-grabbing buzz about cryptocurrency or central bank digital currencies for a moment. The real money is moving behind the scenes. Payments tech spending is lining up behind identity, reconciliation, and automation, providing the clearest map yet of where operational risk is perceived to be highest.

The urgency around identity automation signals a critical shift. The industry has largely solved for speed with real-time payments and instant settlement. Now, it's solving for integrity and operational cost. The risk of manual onboarding friction, fraud losses, and ballooning compliance overhead has become a tangible drag on growth. The 65% adoption intent figure is less a statistic and more a statement of consensus: the manual, error-prone back office is no longer tenable. As one report described, Splintered Payment Systems Are Strangling Merchant Growth, and part of that splintering is a jungle of manual identity checks.

This is about building a financial infrastructure where trust is not a bottleneck but a feature.

Cracking Open the 65%: Where the Identity Dollars Are Actually Flowing

What exactly is identity automation in this context? It's the move from human-dependent processes to system-driven ones. Think automated document verification (scanning a driver's license), real-time database checks for KYC, biometric authentication, and continuous monitoring of user activity for anomalies.

The PYMNTS/Plaid data points to a massive two-tiered investment wave. The 65% planning action in the next 12 months aren't just tinkerers. They are firms executing on priorities. This group is split between those playing catch-up by adopting basic automation for the first time and those doubling down, expanding sophisticated systems they already have in place. When you include longer-term plans, a staggering 90% of firms have identity and KYC upgrades on the roadmap. Only 1% are outright ignoring it.

The budget allocation here is a direct response to concrete business pain:

• Onboarding Friction: Manual checks drop potential customers. Automated identity slashes approval times from days to minutes, directly boosting conversion.
• Fraud Losses: Static checks are useless against evolving synthetic identity fraud. Continuous, automated verification creates a dynamic defense.
• Compliance Costs: Manual review teams are expensive and scale poorly. Automation turns a variable cost center into a fixed, scalable tech expense.

The ROI conversation has decisively flipped. Identity tech is no longer viewed as a pure compliance cost. It's now seen as a revenue and security enabler.

PYMNTS/Plaid Data Reveals Identity's Surprising Rivals: Reconciliation and Security

The investment hierarchy is telling. Identity automation (65%) is a top priority, but it doesn't stand alone. It's part of a triad of operational trust, locked in a tight budget race with two other key areas.

Reconciliation automation leads at 70%. This highlights that the modernization push is as much about cleaning up the mess after a transaction as it is about securing it beforehand. These two priorities, identity and reconciliation, represent two sides of the same coin. Automated identity provides the clean, verified data at the point of entry. Automated reconciliation uses that clean data to seamlessly match payments against invoices and ledgers on the back end.

The tie between AI-based fraud detection and secure bank connectivity (open banking) at 59% reveals the complete picture. Modern payments infrastructure is converging into a single, interconnected system. Verified identity data feeds AI models for real-time fraud scoring. Open banking APIs, secured by that same identity layer, provide the transaction data needed for everything from personalized lending to automated accounting.

This isn't a collection of point solutions. It's the architecture for a fully auditable, efficient, and secure financial workflow.

A View from the Trenches: Winners, Losers, and Skeptics of the Identity Rush

This budget shift creates clear stakeholder dynamics within any organization planning these upgrades.

CFOs and COOs see a direct path to cutting costs. They are funding automation to eliminate manual review salaries and reduce the revenue bleed from abandoned onboarding funnels. For them, this is an efficiency play with a clear bottom-line impact.

Risk and Compliance Officers are the biggest internal advocates. They are finally getting tools to move from a reactive, fire-fighting posture to implementing proactive, scalable controls. Automated identity is their ticket from being a cost center to being a strategic protector of the brand.

Product and Customer Experience Leaders face the most delicate challenge. Their job is to weave powerful new verification steps into user journeys without adding friction. A clunky identity flow can destroy the seamless experience they've built elsewhere. Their success hinges on selecting technology that is both robust and invisible, much like the seamlessness being explored in consumer tech such as Earbud Case Holds an AI Agent That Completes Your Tasks.

The potential losers in this shift are clear: legacy vendors selling on-premise, manual-review software suites, and internal teams whose entire function is built around manually checking documents. Their processes are now marked as a strategic liability. The data shows 51% of firms still plan to spend on legacy infrastructure maintenance, but that spending is increasingly a holding pattern, not a growth investment.

From Suspicion to Seamlessness: The Historical Trajectory of Identity Checks

To understand why this shift is happening now, look at the trajectory. Two decades ago, KYC meant mailing paper forms and waiting weeks for a manual background check. The process was rooted in suspicion and delay.

The digital shift of the last decade, massively accelerated by the pandemic, exposed these manual processes as a business continuity risk. You cannot run a digital-first business on analog, human-dependent verification. The technology itself has also matured. We've moved from proprietary, clunky systems to open, API-driven standards for biometric checks, document scanning, and database lookups.

Accuracy has improved while cost has plummeted. This mirrors the evolution of other financial infrastructure, like card networks, which moved from closed, physical systems to digital, interoperable platforms. We've hit the inflection point where identity automation is not just powerful and accurate, but also cheap and accessible enough for mass deployment. It's a utility, not a luxury.

What This Means for Businesses Launching Digital-First Services Tomorrow

The implications for any business operating online are immediate and stark.

First, the bar for onboarding has been permanently raised. A clunky, multi-day manual verification process is now a competitive disadvantage. Consumers expect near-instant access, and the 65% of firms investing in automation will be the ones providing it.

Second, technology selection is a core strategic choice. Choosing an identity verification partner is no longer just an IT procurement decision. It directly shapes customer acquisition cost, lifetime value, and fraud loss rates. It is a decision made at the C-suite level.

Third, the line between 'payments provider' and 'identity platform' is blurring. The next generation of fintech winners will be built on both competencies simultaneously. Your ability to move money safely will be dependent on your ability to verify who is moving it.

Finally, internal data strategy must evolve. Verified, high-quality identity data is becoming a primary corporate asset. It's the fuel for the AI fraud models and personalization engines that 59% of firms are also investing in. A clean identity data pipeline is the first step to a functional AI strategy, a lesson being learned across sectors as seen with initiatives like Oumi Automates AI Dev, Declares ML Engineers Obsolete.

The Fully Automated, Continuously Verified Payments Future Is Closer Than It Appears

The 12-month plans in this data are just phase one. The logical endgame is the move from onboarding-only identity to continuous, transaction-level verification.

Imagine a financial ecosystem where trust is programmable. Your verified identity isn't just checked once when you open an account. It forms a dynamic token that securely accompanies every transaction, feeding real-time risk scoring, enabling instant micro-credit decisions, and personalizing financial products in a single, seamless flow. The verification event becomes invisible and continuous.

This future brings new challenges, primarily around the privacy-convenience debate. The industry will have to navigate consumer comfort with transparent design and clear user control. Regulations will evolve to keep pace.

The data makes one thing certain: the race is on. The firms in that 65% cohort aren't just buying software. They are building the foundational layer for everything that comes next. The endgame isn't just automating KYC. It's creating a financial ecosystem where trust is a built-in, automated feature, freeing businesses to innovate on what matters most.

Disclaimer: This XOOMAR analysis is for informational and educational purposes only. It is not financial, investment, legal, tax, or professional advice. It does not provide buy, sell, hold, price-target, portfolio, or personalized recommendations. Verify information independently and consult qualified professionals before making decisions.

Impact Analysis

• Mass adoption of automated identity verification will reduce fraud losses and compliance costs for businesses.
• Consumers will experience faster, more secure onboarding and transactions with less friction.
• This shift represents a strategic reallocation of billions in payments tech spending from 'shiny' tools to foundational trust infrastructure.