← back to rankingGPN · Global Payments Inc.
Financial - Credit Services · mkt cap $17.5B · calls: Q1 FY2026 vs Q4 FY2025
44.0 conviction · conf-adj 44
conf 2/10 partial
enthusiasm:27.0 · trend:0 · quantifies:0 · impact:0 · under_radar:14 · credibility:0 · business_impact:4 · disruption:0 · commitment:-4 · confirmation:3
Enthusiasm latest 9 / prev 9 (flat)
Across both calls management treats AI as a third strategic pillar alongside Genius and Worldpay integration: agentic commerce (protocols/MCP, payments-rail positioning), AI-embedded authorization/fraud/routing products, and enterprise productivity (Fast Track studio, workflow redesign, engineering agents). Credibility is strongest where Q4 FY2025 cites hard merchant outcomes ($2B approval uplift, 4pt pilot uplift, $200M routing savings, 15% dispute win-rate lift); Q1 FY2026 repeats those products as live but adds fewer new AI-specific numbers and no disclosed AI revenue line—Andrew Schmidt's revenue question is unanswered in the provided transcript.
GROUNDED NEXT-FY IMPACT vs CONSENSUS
Grounded on actual base — revenue $7.7B · net income $1.4B · net margin 18.2% · diluted EPS 5.83
These are next-fiscal-year annual uplift estimates, not next-quarter numbers.
Aggregate next-FY est. rev uplift: % · next-FY EPS uplift: % · vs analysts: inline · priced in: low (model's call-read: high; verdict above is the hard-data one used for ranking) · confidence: 2/10
| Claim | Figure | Arithmetic | Next-FY Rev % | Next-FY EPS % |
|---|
Revenue Boost — >$2B measured merchant approval-rate uplift (2025)
engagement · soft | >$2B merchant approval uplift | The $2B is incremental MERCHANT approved volume, not GPN revenue. GPN earns only its processing yield on that TPV, and no take rate is disclosed. Illustratively at 0.15–1% net capture the $2B maps to ~$3–20M = 0.04–0.26% of $7,705.9M rev — immaterial and entirely assumption-driven. No disclosed take rate, so cannot anchor to GPN P&L. | | |
3DS Flex — >7% higher auth success vs peers (UK)
engagement · soft | >7% higher auth success | Relative product-efficacy/competitive metric vs peers. No UK transaction volume, GMV, or GPN fee yield disclosed to convert a 7-pt auth edge into GPN revenue. Unanchored to GPN P&L. | | |
AI auth optimization — 4-pt approval uplift, pilot merchants
engagement · soft | 4-point uplift | Pilot-only approval-rate efficacy. No pilot TPV, merchant count, or GPN take-rate disclosed; cannot size GPN revenue. Directionally supports the Revenue Boost engine but adds no separable anchored dollars. | | |
Disputes Defender — chargeback win rates +15% avg
engagement · soft | +15% win rate | Relative win-rate lift recovers chargeback losses for MERCHANTS, not GPN. 40,000-merchant count disclosed separately but no chargeback dollar volume, fee per dispute, or ARPU — cannot compute $ impact without inventing avg loss/merchant. | | |
Disputes Defender — >40,000 merchants protected
engagement · soft | >40,000 merchants | Coverage/adoption count only. No per-merchant fee, ARPU, or retention $ disclosed, so 40k × undisclosed ASP = unsizable. Scale signal, not a quantifiable P&L line. | | |
Dynamic routing — ~8B debit txns, >$200M customer savings, +10% YoY
engagement · soft | >$200M saved; +10% YoY | The $200M is savings accruing to GPN's CUSTOMERS (lower network/routing cost), NOT a GPN cost saving or GPN revenue — a retention/value lever, cost-neutral-to-mildly-dilutive for GPN's own P&L. Illustratively at a ~5% fee share it maps to ~$10–11M (<0.15% rev); no disclosed fee share, so not anchorable. Cannot map to GPN EPS. | | |
AI-assisted coding — ~20% faster dev cycles + better code quality
productivity · soft | nearly 20% | Genuine bottom-line lever, but no engineering headcount or R&D/eng spend base is disclosed anywhere in the inputs. A 20% cycle-time gain ≠ 20% opex cut. Saving_$ base unobtainable → cannot compute after-tax EPS uplift; any plausible eng-cost fraction is well under 1% of a ~$2.936B adj NI base. | | |
Disputes Defender — >500 data points in AI model
other · soft | >500 data points | Technical/feature descriptor, no financial figure. Nothing to size. | | |
Assumptions: Earnings basis: consensus is NON-GAAP (FY25 consensus EPS $12.20 / adj NI ~$2,935.8M vs GAAP EPS $5.83 / NI $1,400.1M), so any EPS% is sized off the ~$2.936B adjusted base, not the depressed GAAP base. Revenue base $7,705.9M. GPN is adopter only (no supplier-side AI revenue). Default incremental net margin = current ~18.2%, tax 21%. Phasing: the headline figures are full-year-2025 actuals already in the base, so go-forward effect is run-rate, not a step-up. Critically, every anchored figure ($2B approval uplift, $200M routing savings, +15% win rates, 7-pt/4-pt auth gains) is value delivered TO merchants/customers; it converts to GPN revenue only through an UNDISCLOSED processing take rate, so none can be anchored to GPN's own P&L. Any capture-bridge figure (e.g. 15 bps on approved volume, 5% fee share on savings) is an invented assumption, not a disclosure, and even generously yields <0.2% rev/EPS.
Top line: Not quantifiable as incremental GPN revenue from disclosures. Every anchored figure (>$2B Revenue Boost approval uplift, $200M routing savings, +15% dispute win rates, 7-pt/4-pt auth gains) measures benefit delivered TO merchants/customers, not GPN's processing revenue. GPN captures only its yield on incremental approved volume; the take rate isn't disclosed, so even an illustrative bridge (~$3–20M on Revenue Boost, ~$10–11M on routing → <0.2% of $7.706B) is purely assumption-driven and immaterial. The real topline role of AI here is retention/share-of-checkout (Revenue Boost, 3DS Flex, Disputes Defender as competitive attach products), embedded in consensus, not a separable uplift.
Bottom line: No anchored GPN cost saving. The $200M dynamic-routing figure is CUSTOMER savings (cost-neutral-to-mildly-dilutive for GPN), not a GPN opex cut. The one true efficiency lever — ~20% faster dev cycles from AI-assisted coding — lacks any disclosed engineering cost base, and a cycle-time gain is not a 1:1 opex reduction; against a ~$2.936B adjusted NI base any plausible eng-cost fraction is well under 1% of earnings. Even generous undisclosed capture bridges yield <0.2% EPS — noise. Management also frames AI as central to capturing Worldpay expense synergies, but those are guided separately and already in consensus, not attributable here.
[impact n/m (all claims soft/unanchored)] Consensus FY26 revenue $12.43B vs FY25 $9.28B = +33.9%, and FY26 EPS $13.87 vs $12.20 = +13.7% — that step-up is driven overwhelmingly by the Worldpay combination/synergies, not AI. None of GPN's AI claims is sized as separable GPN revenue/cost: every anchored number is merchant/customer value monetized only through an undisclosed take rate. Even with generous invented capture bridges the aggregate is <0.2% of the current rev/EPS base and <0.5% of the FY26 step-up — immaterial. Forward AI statements are unquantified. No quantified claim supports material upside to consensus.
MODEL CONSENSUS (impact)
partial
Agree on verdict (adopter, inline, priced_in high, all soft). Kept X's nulls over Y's bridged figures since those rested on undisclosed capture rates; both immaterial vs Worldpay-driven consensus.
Conflicts reconciled
- est_rev_uplift_pct: X=null vs Y=0.186 -> used null because Y's figure rests on explicitly undisclosed/invented take-rate bridges (15bps capture, 5% fee share); task forbids inventing a number
- est_eps_uplift_pct: X=null vs Y=0.133 -> used null for the same reason; both agree the result is immaterial either way
- Revenue Boost & Dynamic routing per-claim pcts: X=null vs Y=small numbers -> used null; no disclosed take rate to anchor
- dynamic routing type: X=cost vs Y=engagement -> used engagement because the $200M accrues to customers as a retention/value lever, not a GPN opex cut
- confidence: Y=3 -> lowered to 2 per conservative tie-break on the numeric conflict
| Field | Opus 4.8 | GPT-5.5 |
|---|
| Rev uplift % | – | – |
| EPS uplift % | – | – |
| Priced in | high | – |
| vs analysts | inline | – |
| Confidence | 4 | – |
| Top line | Not quantifiable as incremental GPN revenue from disclosures. Every anchored figure (>$2B Revenue Boost approval uplift, $200M routing savings, +15% dispute win rates, 7-pt/4-pt auth gains) measures benefit delivered TO merchants/customers, not GPN's processing revenue. GPN captures only its yield on incremental approved volume — at an illustrative 0.3-1% net take, the $2B Revenue Boost maps to ~$6-20M, i.e. 0.08-0.26% of $7.706B revenue, and the take rate isn't disclosed so even that is illustrative. The real topline role of AI here is retention/share-of-checkout (Revenue Boost, 3DS Flex, Disputes Defender as competitive attach products), which is embedded in consensus, not a separable uplift. | – |
| Bottom line | No anchored GPN cost saving. The $200M dynamic-routing figure is CUSTOMER savings (cost-neutral-to-mildly-dilutive for GPN), not a GPN opex cut. The one true efficiency lever — ~20% faster dev cycles from AI-assisted coding — lacks any disclosed engineering cost base, and a cycle-time gain is not a 1:1 opex reduction; against a ~$2.936B adjusted NI base any plausible eng-cost fraction is well under 1% of earnings. Management also frames AI as central to capturing Worldpay expense synergies, but those synergies are guided separately and already in consensus, not attributable here. | – |
| Reasoning | Consensus FY26 revenue $12.43B vs FY25 $9.28B = +33.9%, and FY26 EPS $13.87 vs $12.20 = +13.7% — that step-up is driven by the Worldpay combination, not AI. None of GPN's AI claims is sized as separable GPN revenue/cost, and the best illustrative GPN-attributable topline (Revenue Boost ~0.1-0.3% of revenue) and bottomline (AI-coding <1% of a $2.9B NI base) sit far inside that trajectory. So the math does NOT point above consensus; AI is a defensive retention/efficiency story already embedded in guidance — nothing here is an out-of-consensus beat. | – |
Rows highlighted where the two models disagreed.
QUANTIFICATIONS
Measured merchant approval-rate uplift (Revenue Boost / AI-enabled optimization): more than $2 billion (2025 (full year), topline)
“our revenue boost solution delivered more than $2 billion in measured approval rate uplift for merchants in 2025, igniting their growth.”
3DS Flex authentication success vs peers (AI): over 7% higher (key markets like the U.K. (2025 context), topline)
“our new 3DS Flex solution, which utilizes AI to achieve best-in-class authentication rates compared to peers, including over 7% higher authentication success rates in key markets like the U.K.”
AI-powered authentication optimization approval-rate uplift: 4-point uplift (2025; pilot merchants, topline)
“In 2025, it delivered a 4-point uplift in approval rates for pilot merchants by deciding when to invoke or bypass 3D Secure based on issuer behavior and risk signals.”
Disputes Defender chargeback win-rate improvement (AI automation): an average of 15% (last year (2025), both)
“It protected over 40,000 merchants last year, increasing chargeback win rates by an average of 15%.”
Disputes Defender merchant coverage: over 40,000 merchants (last year (2025), topline)
“It protected over 40,000 merchants last year, increasing chargeback win rates by an average of 15%.”
Dynamic routing debit transaction optimization and customer savings: nearly 8 billion debit transactions; over $200 million saved; more than 10% year-over-year increase in savings (2025, both)
“In 2025, we optimized nearly 8 billion debit transactions, saving our customers over $200 million, an increase of more than 10% year-over-year.”
AI-assisted coding — development cycle acceleration: nearly 20% (adoption period referenced on Q4 call (no explicit calendar bound beyond ongoing), bottomline)
“Our engineering teams have adopted AI-assisted coding tools, which accelerates requirements gathering and development cycles by nearly 20%, while also improving code quality.”
Disputes Defender data points used in AI automation: more than 500 data points (2025 product performance context, both)
“our Disputes Defender product uses AI to automate charge-back responses utilizing more than 500 data points.”
PAST (realized)
- Q4 FY2025 — Completed OpenAI agentic commerce protocol implementation; merchants can accept payments from ChatGPT and Google AI chat interfaces.
- Q4 FY2025 — Launched MCP in November for AI agents to initiate/query payments.
- Q4 FY2025 — AI authentication optimization delivered 4-point approval-rate uplift for pilot merchants in 2025.
- Q4 FY2025 — 3DS Flex (AI): >7% higher authentication success rates in key markets like the U.K.
- Q4 FY2025 — Revenue boost: >$2B measured approval-rate uplift for merchants in 2025.
- Q4 FY2025 — Disputes Defender (AI): 40,000+ merchants protected; ~15% higher chargeback win rates.
- Q4 FY2025 — Dynamic routing optimized ~8B debit transactions, saving customers >$200M in 2025 (+>10% YoY).
- Q4 FY2025 — AI-assisted coding tools: ~20% faster requirements/development cycles with improved code quality.
- Q4 FY2025 — Deployed sales platform with embedded AI for lead flow.
- Q1 FY2026 — PayByLink Plus enhancement (Feb) with AI content generation for social campaigns.
- Q1 FY2026 — 3D Flex, revenue boost, dynamic routing, and fraud-side already delivering approval/fraud/decline improvements.
- Q1 FY2026 — Payments MCP 'live and production ready' for agent-driven commerce flows.
CURRENT (now)
- Q1 FY2026 — Activating enterprise merchants on Google's UCP; building modular end-to-end flows with commerce/checkout/middleware partners.
- Q1 FY2026 — Advancing agentic risk via Ravelin (AI-native fraud prevention) with enriched ecosystem signals.
- Q1 FY2026 — Embedding AI in products and servicing with governance; scalable impact on authorizations, fraud, revenue optimization.
- Q1 FY2026 — Internal AI for engineering/DevOps/QA via Fast Track studio; agents as first responders for common tasks.
- Q1 FY2026 — Worldpay integration used to redesign workflows with an 'AI-centric mindset' for efficiency.
- Q4 FY2025 — Founding member of major agentic-commerce protocols; partnership discussions on agentic fraud, KYA, disputes, product-lead optimization.
- Q4 FY2025 — Genius: generative AI for review responses; launching natural-language agent assistant for owners.
- Q4 FY2025 — AI embedded in onboarding, risk reviews, ticket routing, settlement reconciliation, partner support; AI aiding tech-stack consolidation.
FORWARD (guidance)
- Q1 FY2026 — NRA announcements expected in coming weeks on AI-enhanced Genius capabilities.
- Q4 FY2025 — Natural language agent assistant within Genius 'will provide insights' to business owners.
- Q4 FY2025 — 2026 initiative: expand AI/agentic commerce investment; AI central to capturing expense synergies during Worldpay integration.
- Q4 FY2025 — Partnership pipeline: agentic fraud prevention, know-your-agent, disputes management, product-lead optimization.
- Q1 FY2026 — OpenAI ecosystem shift toward AI-driven discovery while leaving checkout/payments/risk/settlement with GPN framed as structural tailwind.
- Q1 FY2026 — Position as 'central connected tissue' between agents, merchants, networks, and consumers as agentic commerce scales.
TRACK RECORD — PROMISE vs DELIVERY
—/100 (no quantified promises) no-quantified-promises 6 calls reviewed
Across six calls (Q4 FY2024–Q1 FY2026), GPN talks up GenAI dev tools, agentic commerce, cafeteria menu AI, fraud/routing models, and copilot-style dashboards, but almost never sets numeric AI targets with deadlines. What numbers appear are either backward-looking 2025 results ($2B approval uplift, 15% chargeback wins, ~1M AI-generated LOC) or non-AI ops goals (Worldpay synergies, 500 sellers, Genius rollouts)—so there is no judgeable AI promise-and-delivery track record in this set.
PRICED-IN (REFINED)
LOW (room left)Est. revisions falling · Fwd P/E 6.1 · EV/Sales 4.0x
AI claim maps to Merchant Solutions Segment, Issuer Solutions Segment
Price targets stepped down (lastMonth 80 vs lastQuarter 81.17 vs lastYear 88.65) and grades are flat-to-soft (strongBuy fell to 0, holds ticked up) rather than migrating toward more buys. Forward P/E ~6.1x and P/B ~0.75 are depressed, not rich, so the market is not paying a growth premium despite consensus EPS ramping to ~16 by 2027. AI fraud, automation, and merchant value-added claims map mainly to Merchant Solutions (and Issuer Solutions where relevant). Falling revision momentum plus cheap multiples imply AI upside is not yet baked into estimates or valuation.
COVERAGE — ENTHUSIASM TRAJECTORY + CATALYSTS
2Q4 FY20242Q1 FY20256Q2 FY20257Q3 FY20257Q4 FY20255Q1 FY2026
AI enthusiasm across 6 calls — trend ↗ rising
Silent through Worldpay pivot, then concrete cafeteria AI and Google agentic commerce; internal dev and sales AI followed, latest call more thematic.
RECENT AI CATALYSTS & NEWS
BUSINESS IMPACT - QUALITATIVE MATERIALITY
6/10 qualitative impact moderate medium-term · mixed evidence
Where AI matters: merchant auth/fraud/routing and agentic checkout rails
GPN has live AI in core merchant products (Revenue Boost, 3DS Flex, Disputes Defender, dynamic routing) with credible 2025 merchant outcomes ($2B+ approval uplift, 15% dispute win-rate lift, $200M routing savings), plus agentic-commerce/MCP positioning, but disclosed figures are customer value not separable GPN revenue or EPS and management gave no AI revenue line on the latest call.
Caveats: Anchored AI metrics measure merchant/customer benefit, not GPN take-rate capture, so P&L upside stays assumption-heavy; Andrew Schmidt's AI-revenue question was unanswered in the provided transcript; Dynamic routing and approval optimization can be retention-positive but fee-neutral or mildly dilutive to GPN; FY26 step-up is Worldpay/synergy-driven, so AI is easy to overstate in the narrative
AI DISRUPTION / CANNIBALIZATION RISK tailwind · 3/10
AI may compress pricing on some software/VAS and merchant fee-optimization tools, but regulated payment processing, settlement, and risk at checkout remain necessary; management's agentic-commerce framing keeps discovery with AI platforms while checkout stays on GPN rails, which is additive rather than automating away the core model.
OPTIONS / MARKET STRUCTURE
option liquidity: fair
proxy inputs — dollar-ADV $245M · beta 0.757 · px $74.03
source: proxy (no options chain on FMP)
FMP /stable/ exposes no options-chain endpoint on this key, so ATM IV, bid-ask spread and open interest are unavailable. Liquidity below is a PROXY from dollar-ADV, beta and price level (a stand-in for option depth), not measured option-market data.
CONFIRMATION — INSIDERS · 13F · LANGUAGE
Mixed — insiders neutral, institutions adding, management language 3/10 hedged.
INSIDERS neutral 3 buy(s) / 2 sell(s) — roughly balanced
INSTITUTIONS (13F) adding as of 2026-03-31: 104 new / 138 closed positions; 447 increased / 246 reduced; institutional ownership +15.87pp; -36 net 13F holders
MGMT LANGUAGE 3/10 hedged Barely discusses AI: one shipped merchant feature; enterprise AI is aspirational with no metrics or results.
commit “supported by an AI content generation tool”
commit “we launched a first-to-market enhancement to our PayByLink Plus solution in February”
hedge “the increasing application of AI across our business to create new sources of revenue growth”
VERBATIM AI QUOTES
“the acceleration of our innovation agenda, particularly with our Genius platform and the increasing application of AI across our business to create new sources of revenue growth, accelerate product velocity and innovation and improved productivity across the enterprise.”
— Cameron Bready, Q1 FY2026
“we launched a first-to-market enhancement to our PayByLink Plus solution in February that enables our clients to run sales campaigns across social media platforms directly from our merchant dashboard and supported by an AI content generation tool.”
— Cameron Bready, Q1 FY2026
“Lastly, our work in Agentic Commerce and artificial intelligence continues to accelerate and recent developments across the AI ecosystem reinforced the critical role we play at the center of the next evolution in commerce.”
— Cameron Bready, Q1 FY2026
“Open AI shift in focus towards AI-driven product discovery and traffic generation while intentionally leaving checkout, payments, risk and settlement with us plays directly to our strengths and strategy.”
— Cameron Bready, Q1 FY2026
“we are currently activating several enterprise merchants into Google's UCP protocol so that they can be among the first to provide a genetic shopping experiences for their customers.”
— Cameron Bready, Q1 FY2026
“Further, our own payments model context protocol is live and production ready. It enables in agent-driven commerce flows with minimal incremental development effort.”
— Cameron Bready, Q1 FY2026
“Through Ravel in, our AI native fraud prevention platform, we are advancing a genetic risk capabilities that leverage enriched ecosystem signals based on our scale and diversity of data.”
— Cameron Bready, Q1 FY2026
“Beyond Agentic Commerce, we are embedding AI directly into our products and client servicing experiences with enterprise-grade discipline, governance and scale.”
— Cameron Bready, Q1 FY2026
“We are building scalable AI capabilities that generate measurable, repeatable impact across authorizations, fraud mitigation and revenue optimization.”
— Cameron Bready, Q1 FY2026
“Products such as 3D Flex revenue boost, dynamic routing and fraud side are already delivering tangible results, improving approval rates, reducing from losses and lowering false declines often with no incremental integration required.”
— Cameron Bready, Q1 FY2026
“Internally, we are also deploying AI to accelerate engineering, DevOps and quality assurance. Through our proprietary Fast Track studio platform, we are standardizing the path from experimentation to production ensuring security, observability, compliance and repeatability.”
— Cameron Bready, Q1 FY2026
“We're also using agents as first-time responders for common tasks, freeing our teams to focus on higher-value initiatives.”
— Cameron Bready, Q1 FY2026
“This depth and breadth of data creates a uniquely rich training environment, allowing our AI models to learn faster, generalize better and deliver superior outcomes, all while maintaining the highest standards for privacy, security and regulatory compliance.”
— Cameron Bready, Q1 FY2026
“In short, our scale doesn't just make our AI smarter. It drives better results for our clients and reinforces our position at the center of the future of commerce.”
— Cameron Bready, Q1 FY2026
“we're really focused across 3 primary sort of vectors for AI. The first is Agentic commerce”
— Cameron Bready, Q1 FY2026
“The second is embedding AI capabilities more broadly into our products and solutions.”
— Cameron Bready, Q1 FY2026
“Genius is obviously a great example of that. And I don't want to get ahead of myself, but we have some exciting announcements that we'll be making in the context of the NRA coming up here in the next couple of weeks that certainly, I think, fit very nicely in the category of sort of how we can better leverage AI to enhance the capabilities around Genius and help grow and scale Genius more effectively going forward.”
— Cameron Bready, Q1 FY2026
“And then the last area of AI, of course, is around productivity improvements that we see in the business.”
— Cameron Bready, Q1 FY2026
“we're building them in a way that we believe we can integrate AI to enable those workflows, those processes, the delivery of services to the business in a much more efficient and effective way.”
— Cameron Bready, Q1 FY2026
“we've created our own proprietary fast track studio platform. And effectively, that allows us to massively accelerate product from experimentation to production.”
— Cameron Bready, Q1 FY2026
“Further, we are investing in the adoption of our new AI-enabled development tools and enhanced product operating model, allowing for increased productivity and quicker speed to market for new functionality.”
— Cameron Bready, Q4 FY2025
“we have deployed a new technology platform with embedded AI capabilities to better manage lead flow and improve our performance.”
— Cameron Bready, Q4 FY2025
“We plan to invest approximately $1 billion annually in commerce technology to help our customers grow, expanding omnichannel offerings, advancing our AI-enabled product road map and accelerating innovation across Genius and our platforms.”
— Cameron Bready, Q4 FY2025
“rapidly expanding Genius and boldly leveraging AI to create new revenue streams and drive productivity across the business.”
— Cameron Bready, Q4 FY2025
“Finally, our fourth important initiative for 2026 is expanding our investment in AI and agentic commerce. AI is rapidly advancing and has become a foundational initiative permeating all aspects of our organization to both strengthen our top line and accelerate our efforts on cost efficiency.”
— Cameron Bready, Q4 FY2025
“We are leveraging AI across 3 strategic paradigms, agentic commerce, AI embedded within our products to improve client outcomes and AI-enabled productivity and operational efficiency.”
— Cameron Bready, Q4 FY2025
“agentic commerce is the next evolution of the retail experience, where AI can research, select and even complete transactions on behalf of consumers.”
— Cameron Bready, Q4 FY2025
“we've been a founding member of every major protocol announced, including Google's Universal Commerce protocol and OpenAI agentic commerce protocol.”
— Cameron Bready, Q4 FY2025
“we've just completed our implementation of the latter, so our merchants can accept payments originating from ChatGPT as well as Google's AI chat interfaces.”
— Cameron Bready, Q4 FY2025
“We also launched our own model context protocol or MCP in November, which makes it easier for AI agents to initiate in query payments in automated operational workflows.”
— Cameron Bready, Q4 FY2025
“Our AI-powered authentication optimization service goes far beyond legacy rules-based systems by dynamically choosing the path with the highest probability of issuer approval or regulatory compliance.”
— Cameron Bready, Q4 FY2025
“In 2025, it delivered a 4-point uplift in approval rates for pilot merchants by deciding when to invoke or bypass 3D Secure based on issuer behavior and risk signals.”
— Cameron Bready, Q4 FY2025
“Recent innovations include our new 3DS Flex solution, which utilizes AI to achieve best-in-class authentication rates compared to peers, including over 7% higher authentication success rates in key markets like the U.K. and our revenue boost solution delivered more than $2 billion in measured approval rate uplift for merchants in 2025, igniting their growth.”
— Cameron Bready, Q4 FY2025
“our Disputes Defender product uses AI to automate charge-back responses utilizing more than 500 data points. It protected over 40,000 merchants last year, increasing chargeback win rates by an average of 15%.”
— Cameron Bready, Q4 FY2025
“In 2025, we optimized nearly 8 billion debit transactions, saving our customers over $200 million, an increase of more than 10% year-over-year.”
— Cameron Bready, Q4 FY2025
“we can automatically gather customer reviews from multiple social platforms and use generative AI to drive personalized on-brand responses on behalf of our merchants.”
— Cameron Bready, Q4 FY2025
“we are launching a natural language agent assistant within Genius that will provide insights to business owners.”
— Cameron Bready, Q4 FY2025
“Our engineering teams have adopted AI-assisted coding tools, which accelerates requirements gathering and development cycles by nearly 20%, while also improving code quality.”
— Cameron Bready, Q4 FY2025
“By embedding AI into core operational workflows, everything for merchant onboarding and risk reviews to service ticket routing, settlement reconciliation and partner support we can dramatically reduce manual effort in cycle times”
— Cameron Bready, Q4 FY2025
“This breadth and diversity of data creates uniquely rich training environments for our AI models.”
— Cameron Bready, Q4 FY2025
“In short, the scale of our data does not make our AI better. It drives better results for our customers.”
— Cameron Bready, Q4 FY2025
“Genius Drive-thru, our multilane solution that pairs a seamless order flow with our patented camera vision system, so each vehicle is automatically matched to the right order.”
— Cameron Bready, Q4 FY2025
“We also bring enterprise-grade capabilities to SMBs, such as our machine learning-based payments optimization tools”
— Cameron Bready, Q4 FY2025
ANALYST QUESTIONS ON AI
Q (Q1 FY2026, Adam Frisch (Evercore)): And then also on AI, obviously, a big tool for cost reduction that you're leveraging would also ask you to expand how you're leveraging it to drive product acceleration and future revenue growth. And if you're using it to bring Genius up to some of the -- up to scale more quickly as well?
A: Josh Whipple on revenue synergies timing (2027–2028, ~$100M in 2028, $200M run rate exit). Cameron Bready: AI across three vectors—agentic commerce (prepared remarks positioning); embedding AI in products including Genius with NRA announcements coming; productivity via Worldpay integration redesign with 'AI-centric mindset'; proprietary Fast Track studio to 'massively accelerate product from experimentation to production.' Bob Cortopassi added orchestration and in-a-box operating model accelerating delivery velocity—not AI-specific beyond prior tech-stack comments.
Q (Q1 FY2026, Andrew Schmidt (KeyBanc)): I hope I could drill down just on your comments on AI-related revenue. Obviously, there's a few sources.
A: [Transcript provided ends before management response.]