The Friction: "Recovered Revenue" vs. "Cost of Recovery"
The new leadership team has a clear mandate: Scale the business efficiently. Your product is brilliant, recovering lost revenue for merchants. But for a CCO, this creates a specific margin friction. The Friction: Your product relies on heavy Machine Learning to determine the optimal time to retry a transaction. That ML compute is your "Cost of Goods Sold" (COGS). If the AWS bill for your training models scales linearly with transaction volume, your Gross Margins compress. You end up recovering revenue for clients, but eroding profit for Butter.
The Risk: The "Unit Economics" Trap
You are - 1.5 years out from your last major funding round. The path to Series B relies on showing elite unit economics. The Commercial Risk:
Pricing Flexibility: If your infrastructure costs are high, your pricing floor is high. This limits your ability to be aggressive in commercial negotiations with large enterprise merchants.
Margin Drag: Investors value Fintechs on "Gross Margin." If your AWS spend is bloated because of unoptimized legacy infrastructure (from before the leadership change), it artificially lowers the valuation of the company.
The Solution: 2bcloud as Your "Margin Optimization" Team
We don't just fix servers; we improve your P&L. Think of 2bcloud as the FinOps Partner that supports the new leadership agenda. We handle the heavy lifting of the AWS backend, auditing the ML Inference Costs and optimizing the Data Processing layers, so Sonali (CTO) can focus on product innovation, while you get a leaner cost structure that improves your commercial margins.
The Economics: The "New Leadership" Win
New executives look for "Quick Wins." This is the fastest one available. The Net Result: As an AWS Premier Partner, we unlock the Optimization Licensing Assessment (OLA). This is a fully funded audit where we find wasted spend in your environment. Typically, we cut cloud bills by 20-30% without changing a line of code. That is pure profit added back to your bottom line, requiring zero commercial effort.
What We Handle (So You Can Focus on Revenue):
ML COGS Reduction: We analyze your Machine Learning workloads (Step Functions/SageMaker). We implement Spot Instances and Graviton processors to lower the cost of every payment prediction, directly increasing your Gross Margin per transaction.
FinOps Visibility: We give you a "Commercial View" of your cloud spend. You will know exactly how much it costs to support "Customer A" vs. "Customer B," allowing you to price deals more intelligently.
Security & Trust (FTR): Selling to Fintechs requires trust. We run the Foundational Technical Review (FTR) to validate your security posture, giving your sales team the "Bank-Grade" evidence they need to close deals faster.
Runway Extension: By cutting waste, we extend your cash runway. This gives the new executive team more time to execute the 2026 strategy before needing to raise capital.
How We Fund This Engagement (2026 Programs):
Based on Butter Payments’ profile (Fintech, AI, Scale-Up), we would target:
Optimization Licensing Assessment (OLA): A fully funded deep-dive to identify and cut wasted spend immediately.
AWS Fintech Accelerators: Funding pools specifically for payment companies modernizing their stack.
Generative AI Innovation Funds: Credits to offset the cost of training your payment recovery models.
Proposed Next Step
I’ve drafted this based on the commercial goal of improving margins under the new leadership team. I’d love to verify if these efficiency and gross margin goals match your 2026 strategy.
