Manual invoice entry never gets its own line item, but it quietly drains your team's hours and your bottom line. In this webinar, we'll show you how to quantify it, budget for it, and fix it before your 2027 planning locks in.
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Every budget conversation comes down to one question: what's the return? For AP automation, the answer starts with the hours your team loses to manual invoice entry: keying data, chasing approvals, fixing exceptions. It's real, it's recurring, and it rarely shows up as its own line item, which is exactly why it keeps getting deprioritized when budgets get tight.
It's easy to overlook because the cost is spread across people's time rather than sitting in a single line. But it's real money and real risk, the kind that's easy to justify fixing once you can actually see it.
This isn't a generic automation pitch. It's a working session on how to quantify the cost of manual invoice entry, bring it into your 2027 budget conversation, and see exactly where an AI-native platform like Exlify fits once you do.
Quantifying the cost, building the budget case, and seeing Exlify in action.
Bring your budget-cycle questions.
Controllers and Finance/AP leaders building their 2027 budget
AP managers looking to reduce manual processing load on their team
CFOs and finance ops leaders evaluating where AI investment actually pays back
CIOs tasked with making the case for automation spend to leadership
Exlify isn't a bolt-on OCR tool pretending to be AI. It's built AI-native from the ground up, combining intelligent document extraction, decisioning, and workflow automation in one platform, so invoices move from inbox to books in minutes instead of hours or days.
Pulls structured data out of invoices, PDFs, emails, and images with up to 95% accuracy, even on complex documents.
Visual, no-code workflow builder with AI-powered decision points to route, approve, and exception-handle automatically.
Replaces the stack of point tools most AP teams have cobbled together over the years.
Typical payback in 6 to 9 months, with measurable time and error reduction from week one.
This is an AI-native tool with measurable results, a perfect first move for teams just starting their AI journey.
A startup and growth specialist with more than 25 years founding, building, and scaling companies. Today, he focuses on the intersection of business growth and AI, helping organizations understand how AI reshapes decision making, workflow design, and solutions across finance and operations.
Product Owner of Exlify, building AI-native document intelligence and workflow automation for enterprise AP teams, so invoices move from inbox to books without the manual keying and chasing that eats up a finance team's week.
Once budgets are signed off, this conversation gets pushed to 2028. If there's a case for AP automation, now is the window to make it with numbers.
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