Paraglide AI

Many finance leaders still underestimate how much the finance inbox affects collections performance. Most teams send templated reminders, but replies go back to the same inbox and the issue gets lost in the noise until somebody takes a look at it. In practice, a lot of payment delays still sit inside inbox conversations. And when the inbox backlog grows, you lose visibility… Your DSO starts growing, and cash flow becomes less predictable. Finance leaders use Paraglide AI Agents to run their AR inbox. Agents work with full context to resolve queries and disputes, chase late payers, and handle replies and follow-ups. Their DSO is down 34% in two weeks and collections are managed end to end. Some have reached AR inbox zero only weeks after deploying. Check it out at https://lnkd.in/d-QV5frF

Paraglide AI doesn't just send reminders. We handle replies and follow-ups; the entire 2-way conversation. Reach AR inbox zero when AI agents handle your e-mails for you. Legacy collections tools give AR teams more work, not less. More reminders = more replies to handle manually. AR teams are also fatigued by 9-month implementations of legacy software that was built 25 years ago. Software that is essentially a to-do list and gives their team more work to do. The difference with AI-native solutions is that agents actually do the work. Paraglide's AI agents run your AR inbox: resolving queries & disputes, chasing late payers, handling replies & follow-ups, submitting to portals, and matching payments. No more months long implementations. Start saving time in 14 days. See it in your own AR inbox: https://lnkd.in/edKmee5u

Most DSO delays start in the finance inbox. Companies like Choco are automating billing and collections conversations with AI agents to get paid faster.

Your finance team can save up to 20 hours weekly, reduce DSO and improve collections by automating the finance inbox with AI agents.

Our AR inbox backlog just keeps growing. Sound familiar? Our AI agents handle queries and follow-ups automatically, so you can hit inbox zero in weeks.

Where are the high-ROI use cases for AI agents in the finance team - and why are we, as finance leaders, so far behind in adoption? A recent poll showed that only 6% of finance leaders have actually implemented AI. Meanwhile: • Developers use tools like Cursor every day • Customer support runs on AI agents handling most tickets • Sales teams use AI for outbound prospecting And finance? Still drowning in manual, repetitive work. Which is ironic, because as finance leaders, we talk constantly about operational efficiency. Part of the problem is perception and hype. Most “AI-powered” finance tools are just legacy software with a chat bubble bolted on. But if you think that's what the hype is about, then you're not paying attention to what's happening with agents. AI agents don’t just answer questions - they do the work. They reason, execute multi-step workflows, and operate autonomously across your finance stack. In accounts receivable (AR), AI agents can reply automatically to queries in the billing inbox, handle disputes and deductions, and manage end-to-end collections. In accounts payable (AP), AI agents can process documents (IDP) more accurately than traditional OCR. There are some nice AI use cases in financial close (flux analysis & reconciliation edge cases) and FP&A (management commentary, ask questions on data), but they tend to be more co-pilots than agentic workflows. What other use cases of AI agents have you seen? Wouter Born Adam Barbera Frida Ahrenby 🧚🏼