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Explore expert tips, industry insights, and product updates to help you grow smarter and stay ahead in the world of AI and automation.
AP2 vs ACP vs x402: A Builder's Comparison of the Competing Agentic Payment Protocols
Agentic commerce has three competing payment protocols emerging in parallel, not one converged standard. Here's a builder-level comparison of AP2, ACP and x402, and what to actually consider before committing engineering effort to any of them.
Designing a Branded Wallet Product: What the Brand Owns Once the Licensed Partner Is Chosen
Choosing a licensed partner makes a branded wallet possible. These are the product decisions that make customers use it: onboarding, ledger, loyalty versus e-money, refunds, support and a first release partners approve.
What Fintech Delivery Case Studies Show About Launching a Wallet or Lending Product Without Becoming a Bank
Eight published Innovify case studies, from a BNPL wallet to a property lending platform, point to the same delivery patterns. Here is what they suggest for brands and platform teams planning a wallet or lending launch, and what they cannot prove.
EPC Scarlet and Digital Identity Wallets in Payments: A UK View
The European Payments Council has approved Scarlet, a common framework for accepting EU Digital Identity Wallets in payments. This commentary separates what is settled from what depends on the Payment Services Regulation, with a UK view for firms selling into the EU.
Spend Controls for AI Agents: Virtual Cards, Limits and Reconciliation Patterns for Corporate Spend
Capital is reportedly flowing to platforms that productise agent spending controls, but finance and platform teams still need to decide which controls make agent spend safe. A vendor-neutral framework: a virtual card per task, limits, merchant restrictions, approval routing and reconciliation.
Agents Inside the Regulated Core: What UK Banks Going Live With Financial-Crime and Customer-Operations Agents Reveal About Data Ownership and Hosting
Early reports of UK banks running agents in financial-crime and customer operations are headline-level and self-reported. A commentary on what they suggest about data ownership, model hosting and human oversight, and which choices a mid-sized platform can copy.
Consumers Will Let AI Research but Not Yet Buy: What the Trust Gap Means for Checkout Design and Merchant Controls
Surveys suggest consumers are more willing to let AI research a purchase than complete it, but the evidence is thin, vendor-authored and North American. A balanced read of what it shows, and the confirmation steps and spend limits that bridge the gap.
When Agents Buy APIs, Data and Compute: How Machine-to-Machine Payments Differ From Consumer Agentic Checkout
Consumer agentic checkout and machines paying for APIs, data and compute look similar from a distance but need different authority, limits and records. A concise commentary on what is shipping, what is only announced, and what a platform team should prototype first.
Release Gates for Regulated AI: Evaluation, Pre-Deployment Certification and Live Oversight for Customer-Facing Agents
Regulated firms often cannot say what evidence an AI agent needs before it faces customers, or who signs it off. Our framework sets out five release gates, from evaluation sets to live oversight, and how to connect them to FCA and EN 18286 expectations without over-claiming.
Should You Rebuild Rented SaaS as a Custom Agentic System? A Decision Framework for CTOs and Heads of Product
Providers now invite buyers to replace rented SaaS with custom agentic systems. Our framework tests the decision on ownership, integration, run cost, control and governance, and shows how to test any 'working software in weeks' claim.
Why Embedded-Payments Adoption Stalls Inside Platforms, and Why Integration Quality Beats Feature Lists
Embedded-payments research from payments providers points to inertia, not missing features, as the barrier for SaaS and platform businesses. Our view: diagnose product, integration and inertia separately, then sequence the launch around one workflow.
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