Thought Leadership and Product Blogs
Latest Aimie
How Sidetrade’s Data Lake Turns Buyer Behavior into Predictable Cash Flow
Discover how Sidetrade’s O2C Data Lake turns buyer payment behavior into predictable cash flow through SPi, surge detection, and AI Aimie’s recommendations.
Operationalizing AI in Accounts Receivable: A Practical Framework for Finance Leaders
A five-step framework for operationalizing AI in accounts receivable, from selecting the right workflow to governance and responsible scale.
Cash App: What a Finished Day in Cash Application Really Means
See how Sidetrade’s Cash App consolidates payment data, clears exceptions, and turns cash application into a finished process, not just a match rate.
The Net 30 Illusion: Why Payment Terms Mislead and ADP Reveals the Truth
Finance teams often assume Net 30 means paid in 30 days. Discover how Average Days to Pay exposes the real gap – and how Sidetrade predicts it.
Sidetrade Launches the O2C Intelligence Platform
25 Years of Order-to-Cash Expertise, Rebuilt for the Agentic Era Welcome to the AI-native era
Why Your AI’s Training Data Matters More Than Its Algorithms
Finance leaders evaluating AI solutions, quite rightly, ask questions. What can it do? How fast?
Aimie: Unrivaled AI in Order-to-Cash Optimization
In the ever-evolving landscape of finance, the order-to-cash (O2C) process stands as the critical financial
Sidetrade Repositions Shared Services Centers Through Value, Purpose & Growth-Led Transformation
Sidetrade offers AI-powered solutions for intelligent automation, advanced analytics, customer engagement, and risk management. By leveraging AI and buyer insights from the world’s largest Data Lake in Order-to-Cash, Sidetrade enables SSCs to automate repetitive tasks, enhance accuracy, and free up resources for more strategic activities. The journey from tactical to strategic Order-to-Cash starts with optimizing data, technology and operations. The Shared Services Centers can help their CFOs turn O2C into a data-driven strategic advantage to create a forward-looking approach to payments, best-collection action, and dispute and risk strategy.
Sidetrade’s Solution Enhancements Round-up
Sidetrade’s Solution Enhancements Round-up It seems like there’s never a shortage of innovation happening at
Aimie AI behind the scenes: a tour of our data sources and effectiveness metrics
Customers can choose to treat Artificial Intelligence as a team coach balancing collector workloads and cash opportunity to-do lists.
Accounts Receivable Software – a beginner’s guide
What is Accounts Receivable? Examine best-in-class Accounts Receivable software driven by artificial intelligence to enhance customer payment processes.
Engineering Blog
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SAFE
How we stopped asking the model to write our UI
We let the model write our interfaces in a small invented language. The rules it needed were making the agent worse at everything else, so we took the language away and gave layout to code.
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Future
The next wave of Enterprise AI will run on intelligence we control
Most enterprise work does not need the most powerful model in the world. Once good-enough intelligence runs in open weights, cost and control decide the architecture, and the hard part of agents is everything around the model.
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People & Process
Introducing PodFlow, our AI-native R&D operating model
How Sidetrade R&D takes an idea all the way to something a customer can use: what PodFlow is, what was slowing us down before it, and where every human decision sits.
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Platform
The agent is the easy part
First in a series on what enterprise collections agents need beyond the model: why an agent harness, not the model itself, is what makes an AI decision safe to run at scale.
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People & Process
You are nothing without your team
Five days in Portugal, 120+ Sidetraders, 18 projects and AI in nearly every one of them. Why our annual hackathon is the most important week in the engineering calendar.
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Platform
Why we run Sidetrade IQ on ourselves first
Sidetrade IQ is the internal deployment of the platform our customers get as Aimie IQ, on the same framework, the same models and the same controls. Why inside first is how the intelligence scales out.