Shannon Copeland is helping companies find hidden savings, reduce procurement complexity, and make better decisions across supply chain and spend management. As CEO of SIB, he leads a company with 35 years of experience helping clients negotiate with vendors, improve competitiveness, and manage procurement across dozens of spend categories. Now, with SpendBrain, SIB is bringing AI into the procure to pay process in a way that prioritizes privacy, accuracy, and human expertise.

In this episode, Russ and Shannon explore how procurement has changed from traditional cost reduction work into a more intelligent, data driven discipline. Shannon explains why simply asking vendors for discounts is not enough, and why true procurement expertise requires understanding vendor language, pricing models, service bundles, operational needs, and industry context.

They dive into SpendBrain, SIB’s AI platform that creates a private semantic ontology for each client. Shannon explains why the platform is not built around a traditional LLM model, how each client gets its own private brain, and why SIB does not harvest or learn from client pricing data.

The conversation also covers how SpendBrain works with messy, federated data across contracts, invoices, systems, and departments. Shannon shares how the platform can identify errors, surface savings opportunities, support forecasting, and help clients move from reactive analysis to proactive cost intelligence.

Along the way, Shannon discusses handcrafted AI, human in the loop learning, why procurement experts remain essential, and how CFOs and supply chain leaders can start uncovering cost leakage by following their own intuition about where problems may be hiding.

Topics Covered:

[00:02] Welcome and intro, Shannon Copeland and SIB’s AI Excellence Award win

[00:35] SIB’s 35 year history in procurement and cost reduction

[01:00] What procure to pay means in practical terms

[02:10] Why procurement often feels like buying tires without knowing the best deal

[02:42] Why vendor negotiations require category expertise

[04:23] Avoiding disruption while improving vendor relationships

[05:30] How procurement work helps clients clarify needs and reduce overspending

[07:44] Introducing SpendBrain and SIB’s AI transformation

[08:02] Why traditional benchmarking databases are no longer enough

[10:22] Building private semantic ontologies for each client

[12:37] Why regulated industries need private, accurate AI systems

[14:54] Working with messy data across contracts, invoices, and systems

[15:37] Pulling data from existing systems without replacing them

[16:21] Handcrafted AI and the role of humans in the loop

[17:31] What CFOs see when SpendBrain analyzes spend data

[18:05] Moving from periodic audits to real time spend intelligence

[20:48] Detecting invoice errors and billing issues

[21:31] Why roughly 40% of invoices contain some type of error

[23:03] Data ownership, explainability, and traceability

[23:32] Why clients own both their raw data and their private brain

[25:52] Surfacing hidden savings in overlooked spend categories

[26:19] Finding major savings in waste and recycling spend

[28:28] How SpendBrain can deliver strong ROI for clients

[29:39] Deciding what AI handles versus what humans validate

[30:00] Reducing mundane work so teams can focus on strategy

[33:33] What cost intelligence may look like five years from now

[35:52] AI as an accelerator for human expertise

[37:25] First steps for CFOs who suspect cost leakage

[39:11] Why some organizations still struggle to get answers from AI tools

[40:06] Final thoughts on pragmatic, low cost, accurate AI for procurement