The O2C Edge ◇ About

Brandon Polson

O2C AI Strategist

"Ten years in Order-to-Cash teaches you a few things. One of them is that the people selling AI rarely do the work that AI is supposed to fix."

Brandon Polson has spent over a decade inside Order-to-Cash operations — working across every layer of the revenue cycle, from order management and credit to collections, cash application, and contract intelligence, across multiple industries and organizational scales.

He built The O2C Edge because the AI conversation in finance keeps going the same direction — toward the most powerful models, the most expensive deployments, and the least practical recommendations for the teams actually doing the work.

This is the alternative.

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Why The O2C Edge Exists

The AI conversation in O2C has a direction problem.

Over the past few years, finance and operations leaders navigating an increasingly crowded AI landscape have consistently been pointed toward the same answer: the biggest, most powerful, most expensive model available. Flagship deployments. Premium enterprise contracts. Benchmark-topping models that look impressive in a vendor presentation and considerably less impressive when someone runs the actual cost-per-task math against a real O2C operation.

The model your team actually runs every day isn't the flagship. It's the mid-tier — GPT-4o, Claude Sonnet, Gemini Flash. The tools teams can realistically deploy, sustain, and get measurable ROI from without a budget conversation that kills the project before it starts.

That's not a criticism of flagship models. It's a recognition of how AI actually gets deployed at scale inside finance operations — and a direct challenge to the way most AI guidance in this space is structured.

The O2C Edge is built around a single premise: that O2C and RevOps leaders deserve practical, verified, actionable intelligence about AI — grounded in what real teams actually deploy, not what vendors want them to buy.

Ten-plus years across the Order-to-Cash cycle, at multiple organizational scales, makes the gap between recommendation and reality very easy to see. This blog is the direct response to it.

How This Blog Works

The Editorial Standard

What every post on this site is held to — without exception.

Verified Data Only

Every statistic, benchmark, and case study result is sourced and cited. If it can't be traced to a named company, a published study, or a documented analyst report, it doesn't appear. Full references are included in every post.

No Vendor Sponsorships

No tool or platform pays to be featured or ranked on this site. Recommendations reflect what the verified data shows — not what an enterprise sales team wants you to hear. That independence is non-negotiable.

Practical Over Theoretical

The O2C professionals reading this are making real decisions about real operations. Every post is written to be directly applicable — specific tools, realistic deployment paths, and honest tradeoffs. No frameworks that sound right and fall apart in production.