AI can’t run on
data it can’t read.
Agentic commerce is coming to B2B, but agents can only act on data they can reliably access. That’s an integration problem before it’s an AI problem. TradeCentric connects eCommerce and procurement systems, so the automation your buyers expect actually works.
Talk to an integration expertwhat is agentic commerce?
Agentic commerce raises the stakes on integration
Agentic commerce is B2B buying where AI agents research, evaluate, and execute purchases on a buyer’s behalf, acting across systems within limits you set.
Every B2B relationship is climbing the same curve, from disconnected and manual to connected and machine-ready. Whichever agentic tools win will run on top of whatever connections already exist: suppliers with machine-ready data and APIs can plug into any of it, suppliers running on manual processes and closed data can’t.
5-Part Series
Will agents replace PunchOut?
No. But PunchOut will evolve.
AI vendors are promising to replace the infrastructure enterprise procurement runs on. This series separates what agents can actually do in B2B commerce from what they can’t, and what suppliers and buyers should do about it.
Steve Frechette
Chief Product Officer, TradeCentric
Part 1 of 5
The State of Agentic B2B Commerce
AI is improving commerce. It’s not revolutionizing it.
Before examining what agents mean for enterprise B2B, it’s worth understanding where agentic commerce in B2C is genuinely heading, and where it runs into structural walls. The B2C story sets the terms for everything that follows.
Part 2 of 5
The Enterprise B2B Reality Check
Why agents won’t replace PunchOut — and why neither side is asking them to.
Technology vendors are making bold claims about autonomous procurement. This part examines the three assumptions behind those claims and explains why each fails when tested against real enterprise buying requirements: compliance, determinism, and scale.
Part 3 of 5
How PunchOut Evolves to Support Agents
The conversational layer is coming. The infrastructure underneath it isn’t going anywhere.
PunchOut doesn’t need to be replaced. It needs a new front door. This part explains what a conversational evolution of PunchOut actually looks like, who controls the conversation, and why that question has significant commercial implications for suppliers.
Part 4 of 5
The Market That Makes Agentic PunchOut Real
The most compelling opportunity isn’t upgrading PunchOut. It’s finally getting the digital laggards in.
An estimated 65% of manufacturers have never meaningfully invested in digital channels. For them, agentic PunchOut isn’t an upgrade — it’s an on-ramp. This part examines why the barrier is finally low enough and what it means for both sides of the transaction.
Part 5 of 5
Introducing UPOP
TradeCentric’s approach to making agentic commerce actually work at enterprise scale.
The Universal PunchOut Protocol (UPOP) extends TradeCentric’s existing integration infrastructure to support AI-driven, conversational shopping — without sacrificing the compliance controls enterprise procurement depends on. Here’s what we’re building, what we know, and what we’re still learning.
Framework Download
Agentic Commerce Readiness Framework for B2B Suppliers
Vendors are making bold claims about autonomous procurement. Before evaluating any of them, evaluate yourself.
Category 1
Buyer demand and market signal
6 questions
Category 2
Business model considerations
9 questions
Category 3
Trust, accountability & governance
4 questions
Category 4
Catalog & pricing: IP, security, control
4 questions
The foundation agents run on
Agents change the interface, not the infrastructure
A conversational layer is only as good as the integration beneath it. These are the connected transaction flows that make agentic PunchOut possible.
FAQ
Real questions from teams like yours
Agentic commerce is a model where autonomous AI agents research, evaluate, and complete purchases on behalf of a buyer or business with limited human intervention. It goes beyond chatbots and rules-based automation: agentic systems are goal-driven, meaning they interpret intent, plan multi-step actions, gather missing information, and execute across multiple systems within defined boundaries. In enterprise B2B, that could mean identifying an approved supplier, validating inventory, checking contract pricing, initiating a purchase order, and routing it for approval. The constraint is not model capability. Agents can only act on data and systems they can reliably access, which makes agentic commerce an integration readiness question before it is an AI question.
They are not competing categories. PunchOut is infrastructure; agentic commerce is an interface.
PunchOut is a deterministic, human-centered workflow: a buyer launches into a supplier’s catalog from their procurement platform, builds a cart, and transfers it back as a correctly formatted, validated PO. It sits in a three-part flow: PunchOut creates the PO, PO integration delivers it, invoice integration closes the loop. The last two are already fully automated. PunchOut is the one step where a human is still in the loop, which is exactly why it’s the step agents could plausibly change.
An agent changes how the cart gets built. It does not change the authentication, entitlements, contract pricing, business rules, or cart transfer that make the resulting PO valid.
No. Agents won’t dismantle the governance and compliance infrastructure enterprise procurement depends on. What they change is the interface buyers and suppliers use within that infrastructure. PunchOut evolves, it gets a conversational front door, but the integration underneath stays essential.
To be direct about the counter-case: today’s demand signals for agentic procurement are weak. Suppliers are reluctant to expose catalogs to agents they don’t control, and buyers aren’t asking their suppliers to support it. The strongest argument for agents replacing PunchOut isn’t technical feasibility, it’s that no one has yet demonstrated it can be done deterministically, at scale, across every buyer-supplier relationship. Once you’ve built an agent for one supplier relationship, you still have to build another for the next.
Yes, a good developer using AI can stand up a connection to one buyer much faster than they could two years ago. It is governance that is the difficult and expensive part of it, though, not the build. Every buyer brings its own contract pricing, catalog entitlements, PO format, and compliance requirements. All of this configuration has to be right and stay right for each one. Contracts get renegotiated, price files change, and buyer platforms update on their own schedule. AI doesn’t maintain these and it can all decay quietly instead of breaking loudly.
There is also the concern of scaling. Using AI to create a connection for a few buyers is doable. But when the number of connections increase, the difficulty for doing it through AI does as well. So the useful question isn’t whether you can build it. It’s how many buyer connections you expect to add over the next couple of years, and who owns them after go live.
That depends entirely on which model you allow, and the difference is commercial, not technical.
In a supplier-controlled model, you host and control the conversational agent. Product data, pricing, entitlements, and customer experience stay in your systems. The integration layer governs the handoff. This is the model most suppliers we’ve spoken with will accept.
In a buyer-controlled model, your product data flows into a system you don’t control — which makes real-time price comparison across suppliers trivially easy and commoditizes your customer experience.
The underlying concern is legitimate: a buyer’s agent with valid credentials can crawl and comparison-shop your site as easily as it can execute a purchase. Governance controls that address this, session-level rate limits on how much product data an agent can retrieve, and data handling rules that prevent retention beyond the immediate cart-to-PO workflow, are exactly what we’re defining and testing with UPOP design partners. We don’t consider these solved; we consider them the core question.
Only if the transaction runs through governed integration infrastructure. That’s the whole point.
Contract pricing, entitlements, approved-vendor logic, field mappings, unit-of-measure and currency transformations, and approval routing don’t live in the agent. They live in the integration layer. When an agent operates through that layer, your rules apply exactly as they do in a traditional PunchOut session, same authentication, same entitlement checks, same deterministic cart transfer, same audit trail.
When an agent operates around it, screen-scraping a supplier site, or a DIY integration built per relationship, those guarantees weaken. GDPR, CCPA, and SOC 2 obligations don’t disappear because an agent is doing the work. And there’s a monitoring gap worth naming: when a human makes a mistake in a PunchOut session, someone catches it. When an agent does, no one is watching unless the infrastructure surfaces it.
Work through the Agentic Commerce Readiness Framework for B2B Suppliers. It’s a 7-part, cross-functional assessment covering buyer demand, business model, governance, catalog and pricing, technical readiness, organizational readiness, and ROI, designed to be completed as a team rather than by one function.
Before you start, a useful gut check: if your product data is fragmented, approvals live in email inboxes, or invoices still require manual reconciliation, you have an infrastructure problem before you have an AI problem. Agents don’t reconcile systems that disagree with each other.
They surface where your operating model still depends on human workarounds. Get the framework →
At minimum, an agent transacting against your catalog must be able to:
- Authenticate with an auditable identity that satisfies the buyer’s access control requirements
- Surface the right sub-catalog based on entitlements specific to that buyer-supplier relationship
- Search structured, machine-readable product, pricing, and inventory data, not PDFs or spreadsheet exports
- Maintain a persistent cart across sessions, since buyers rarely complete a purchase in one sitting
- Transfer the cart back in the correct format with all field mappings, UOM, and currency transformations applied
Supporting that requires deterministic business rule enforcement, monitoring and audit instrumentation, disaster recovery for cart data, and segregated dev/test/production environments with controlled change promotion, the same governance any enterprise system handling procurement data needs.
Worth noting what isn’t required: a full eCommerce site. For suppliers who’ve never invested in digital channels, a buyer-specific catalog plus a governed integration layer is enough to get started. That’s the lower barrier that makes agentic PunchOut an on-ramp rather than an upgrade.