You spent a decade transforming your business for digital buyers. You built the portal. You enabled self-service. You optimized the checkout experience. You thought you were done. But while you were optimizing for humans who shop online, a new customer emerged—one that doesn’t browse, doesn’t click, and doesn’t care about your beautiful UX.
Your next customer is an algorithm.
According to Gartner’s 2026 Strategic Predictions, 90% of B2B purchases will be intermediated by AI agents by 2028, channeling more than $15 trillion in spending through automated exchanges. These aren’t chatbots answering questions. These are autonomous systems that discover vendors, evaluate options, negotiate terms, and execute purchases—often without human intervention.
The definition of digital transformation is shifting beneath our feet. And most B2B organizations aren’t ready.
What Is B2A?
For decades, we’ve talked about B2B—business-to-business commerce built on relationships, sales teams, and increasingly, digital self-service. Now we’re entering the era of B2A: Business-to-Algorithm.
B2A represents commerce designed for AI buyers, not just human buyers. It’s the recognition that a growing share of purchasing decisions will be made—or heavily influenced—by AI agents acting on behalf of human stakeholders.
The contrast is stark:
Traditional B2B
Emerging B2A
Human researches online
AI agent queries structured data
Website experience matters
API accessibility matters
Brand storytelling persuades
Machine-readable specifications win
SEO drives discovery
AEO (Answer Engine Optimization) drives discovery
McKinsey projects that agentic commerce—transactions orchestrated by AI agents—could reach $3 to $5 trillion globally by 2030. Meanwhile, research from TrustRadius shows that 46% of AI users now rely on it as their primary research method, often replacing traditional search engines entirely.
This isn’t replacing human relationships. Complex, high-value B2B decisions will continue to involve people, trust, and negotiation. But routine and transactional purchases? Those are migrating to algorithms faster than most organizations realize.
The Invisibility Problem
Here’s the uncomfortable truth: most B2B digital transformation has focused on human experience. Portals. Checkout flows. Mobile optimization. Customer journeys designed for people who browse, compare, and click.
But AI agents don’t experience your website. They query your data.
If your product information isn’t machine-readable, structured, and API-accessible, you simply don’t exist to algorithmic buyers. You’re invisible.
AI agents parse structured data—product specifications, pricing models, inventory levels, delivery terms. They evaluate vendors based on verifiable performance metrics, not marketing promises. And they make decisions in milliseconds, not meetings.
As one analysis from PYMNTS noted, the winner in an AI-mediated marketplace won’t be the company with the slickest checkout interface. It will be the one whose systems are easiest for agents to verify, reason about, and trust.
Research from Shopify and Deloitte found that only 20% of B2B sellers feel prepared for the future of digital commerce. If your competitors make themselves machine-readable and you don’t, their products will surface in AI-generated recommendations. Yours won’t.
The Infrastructure Is Being Built Now
This shift isn’t theoretical. The rails for algorithmic commerce are being laid right now—by the world’s largest technology companies, retailers, and payment providers.
Case in point: the recent open-sourcing of the Universal Commerce Protocol (UCP). Co-developed by Google, Shopify, Walmart, Target, Etsy, and Wayfair, UCP defines a common language for platforms, AI agents, and businesses to transact. It’s already endorsed by Visa, Mastercard, PayPal, Stripe, American Express, and major retailers including Best Buy, Kroger, Lowe’s, Macy’s, Home Depot, and Sephora.
UCP isn’t a pilot project. It’s production infrastructure designed to let AI agents interact with commerce systems through standardized protocols—handling checkout, identity verification, order management, and payments without custom integrations for every Connection.
The protocol supports MCP ( Model Context Protocol), A2A ( Agent-to-Agent), and AP2 ( Agent Payments Protocol)—the emerging standards that will define how AI systems discover, evaluate, and purchase from businesses. Organizations that adopt these standards become visible and transactable by AI agents. Those that don’t become invisible.
Digital Transformation 2.0: Becoming Machine-Readable
It’s time to reframe what digital transformation means in the AI era.
Digital Transformation 1.0 was about going online—building websites, enabling eCommerce, creating self-service portals.
Digital Transformation 2.0 is about becoming machine-readable—exposing your business through APIs, structuring your data for algorithmic consumption, and building trust with AI systems.
This requires a shift in priorities:
- Audit your data foundation. Is your product data clean, unified, and structured? Can it be consumed by AI agents as easily as it’s displayed on your website?
- Build API-first infrastructure. Can AI agents query your catalog, check real-time inventory, verify pricing, and place orders programmatically? Your website is for humans. Your API is for algorithms.
- Implement AEO alongside SEO. You’ve spent years optimizing for Google. Now optimize for AI platforms—ChatGPT, Perplexity, Gemini, and enterprise procurement AI.
- Adopt emerging commerce protocols. Standards like UCP, MCP, and AP2 are becoming the common language of algorithmic commerce. Early adoption means early visibility.
The Competitive Imperative
The businesses that treated “going digital” as a destination are about to discover it was just the first leg of the journey. The next wave of transformation isn’t about human experience—it’s about machine accessibility.
The companies that make themselves discoverable, evaluable, and transactable by AI agents will capture their share of the $15 trillion opportunity. Those that don’t will find themselves invisible to the most influential buyers of the next decade.
You spent a decade transforming for digital buyers. Now it’s time to transform for algorithmic ones.