Enterprise fintech deals die in onboarding, and the config already exists
Enterprise fintech deals don't die in the demo. They die in week six of onboarding, while someone re-types the customer's approval rules into a canvas. I spent two years inside a procurement fintech and the pattern was consistent: the product demos great, the contract gets signed, and then comes the wall. Setup that drags for weeks. Change requests every single week. Users who don't fully…
Enterprise deals collapse during onboarding, not during the product demo. The majority of issues arise six weeks after a contract is signed, with users repeatedly re-entering their approval rules into the system. The process is time-consuming, with constant changes and users uncertain about how to configure the software. The key to reducing onboarding time by 90% lies in integrating the software seamlessly with existing systems, such as ERP, and providing a pre-configured approval workflow instead of a blank canvas.
This approach eliminates the need for users to re-enter data and reduces the number of support tickets. Tools like chatbots can also assist clients in changing configurations, eliminating the need for engineers. The CTO of a fintech company emphasizes that time-to-first-value, not features, determines procurement deals. An upcoming iteration, Ledgerloop, takes this concept further, using an agent to read the HRIS and derive the approval workflow, mapping titles to actual approval authority using an LLM.
This approach flags dirty data and allows for human review before finalizing the workflow. The final payment process remains deterministic, with AI reading and proposing, but never deciding. The 2026 vision involves using AI to read customer systems, derive their configuration, and present a human reviewable draft, ultimately reducing onboarding costs and improving the customer experience.
Written by urgent.news from Dev.to's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
