TL;DR
- The Big Shift: We are moving from basic AI chatbots to Agentic Commerce, where AI understands contracts, risk, and procurement governance.
- The Reality Check: 95% of AI projects fail to produce ROI. Success in 2026 requires “Now-Proofing” – fixing back-office data and human processes before launching customer-facing tools.
- The Strategy: 60% of B2B leaders prefer AI models hard-wired into their existing software. Standalone tools add friction and fragment your data.
- The Self-Query Audit: LLMs are the new search engines. If a model cannot parse your value proposition or SKU availability, a digital-first buyer will never find you.
B2B Online 2026 felt different. The digital transformation buzzwords died. In their place is a sobering focus on the human processes that make software work. Between sessions, the conversation was less about the vision and more about the grit required to make a business move faster.
Human Processes Are the Bottleneck
On Day 1, Aaron Sheehan (OroCommerce’s VP of Strategy & Partnership) joined leaders from H.B. Fuller, Mouser Electronics, and Xerox to discuss the buyer’s shifting role. While the industry is focused on “the machine,” the panel agreed that the biggest hurdles remain remarkably human.
- The Data/Process Gap: Technology rarely fails on its own. Most “bad data” is actually a symptom of broken human processes. If your internal workflows are messy, AI will simply help you make mistakes at scale.
- The Rise of Agentic Commerce: We’re moving toward a world where AI doesn’t just suggest products; it understands contract nuances, governance, and risk.
- Humans as Guardrails: As automation handles formulaic tasks, the human role is pivoting toward risk mitigation and high-level strategy.
“The future is uncertain, but we know this: Punch-out and EDI aren’t going anywhere. They are the ‘pure data’ that agentic commerce thrives on.” – Panel Consensus
Moving from AI Hype to Real-World ROI
Day 2 brought a much-needed reality check from Jary Carter (OroCommerce) and Rodrigo Garcia (PartsBase). They cited a staggering MIT report: 95% of AI projects produce no results. To stay in the successful 5%, B2B leaders must prioritize the “back office” over the “front office.”
This shift in strategy is backed by industry sentiment: based on a survey of 100 B2B manufacturing and distribution leaders, 60% of leaders would prefer to use AI models embedded in their existing software (Read the full survey report here).
- The Procurement “Cockpit”: In industries like aerospace, AI can condense massive data sets to help an engineer find a specific part instantly, getting a plane back in the air in record time.
- Governance First: You cannot have an AI initiative without a Responsible AI Framework. Governance protects your brand when data is shared across multiple LLMs.
- Solving Technical Debt: AI shouldn’t be a shiny new toy; it should be the tool that cleans up years of legacy mess, building a foundation for long-term scaling.
Actionable Takeaways for Your 2026 Strategy
To turn these Chicago insights into a competitive advantage, focus on these four pillars:
- Run a “Self-Query” Audit: Follow Aaron Sheehan’s advice, run queries on your own company through various AI models. If the AI can’t understand your value proposition, a digital-first buyer won’t either.
- Audit Your Integrations: If your back-office systems aren’t talking to each other, your AI agents are flying blind. Ensure your data flow is seamless before adding intelligence layers.
- Establish Governance Today: Don’t wait for a data leak or an AI hallucination to create a policy. Decide now how internal data is shared with LLMs and how AI decisions are vetted by humans.
- Start with Internal AI: The most successful AI tools aren’t customer-facing; they are internal. Use AI to clean product data or automate procurement first. Once the foundation is solid, move the intelligence to the storefront.
The Bottom Line
As Kimberlee Sinclair (H.B. Fuller) aptly put it, people are the drivers. No matter how advanced the AI agent becomes, your success depends on your team’s buy-in. The modern B2B buyer wants speed, but they also want to know the company they’re buying from has its act together.
Let’s Build Your Roadmap
The landscape for 2026 and beyond is moving fast, and “now-proofing” your business requires a partner who understands both the technology and the unique complexities of B2B.
If you are looking into your future product roadmap and where AI fits, feel free to contact us as we’re happy to have a conversation.
We’d love to share more about how our new OroIQ embeds intelligence directly into your core business logic rather than just bolting it on.
