Watch the full session: Charted and Catalyst ERP on AI invoice processing in NetSuite
Every AP automation vendor claims “industry-leading AI” and “99% accuracy.” So why are finance teams still fixing GL coding errors, chasing missing line items, and managing exceptions in spreadsheets?
That’s the question Charted and Catalyst ERP set out to answer together in a recent joint webinar. Catalyst is a certified NetSuite consultancy with over a decade of implementation experience in Europe across retail, manufacturing, and wholesale distribution. Together, we broke down what separates real AI invoice processing from vendor marketing, and what NetSuite finance teams should be asking before they buy.
Why Charted and Catalyst ERP partnered
Choosing the right AP automation tool is only half the equation. How it’s implemented, configured, and embedded into your existing NetSuite workflows determines whether you see real results or spend the next six months troubleshooting sync errors.
That’s why the Charted and Catalyst ERP partnership made sense from day one. Catalyst brings best-in-class NetSuite implementation, with a focus on complex industries like manufacturing based in Europe. Charted brings AP automation built for finance teams working in NetSuite. Together, businesses get a NetSuite setup that’s built to scale from day one. Catalyst is intentional about the tools they recommend, only partnering with organizations that work entirely within the NetSuite ecosystem and genuinely innovating.
As Catalyst’s team put it during the webinar:
“Try not to go outside of the NetSuite ecosystem, because integrating those tools is really, really difficult. It’s really important that you stick within the SDN [SuiteCloud Developer Network], which is a reason why we chose Charted as our AP partner.”
Why Charted and Catalyst focused on the “99% accuracy” claim
A large part of the webinar addressed the number that dominates almost every vendor conversation: 99% accuracy.
The Charted take: most solutions hit 99% accuracy at the character-extraction level, meaning they’re reading text off a page. That’s OCR. It’s table stakes. The metric that actually drives value is field-level accuracy: how correctly the extracted data maps to your NetSuite fields, including the right GL account, the right line-item detail, and the right coding pattern, consistently, across every vendor format you process.
This is one of the specific questions Charted and Catalyst walked attendees through: what to ask vendors, and what a real answer sounds like versus a deflection.
How Charted Invoice AI adapts where rigid models can’t
Most “automated” solutions rely on rigid data extraction models that work well until your business evolves, your vendor base grows, or your coding patterns change.
Charted Invoice AI works differently. It learns GL coding patterns from historical NetSuite data, adapts as the business changes, and gets smarter the longer it runs, scoped entirely to that customer’s instance. During the webinar, Catalyst shared how this plays out for their clients in practice: a recurring vendor sending invoices in a slightly non-standard format gets handled correctly without manual intervention, every time.
As a Charted team member said during the webinar:
“If you have to make a correction to the data, Invoice AI is going to essentially ask itself the question: where did you get that information? If it’s able to determine where you got that information from the invoice itself, then the next time you go to process an invoice for that same vendor, it’s able to learn those changes and make the edit for you automatically.”
The Catalyst perspective: Why architecture matters
For NetSuite users specifically, Catalyst emphasized that the architecture of an AP automation solution matters more than most buyers realize. Tools that process invoices outside of NetSuite and sync results back introduce a conversion problem: custom fields get dropped, line-level data gets flattened, audit trails fragment.
As Catalyst put it on the webinar:
“You don’t have to go log into another portal, and you don’t have to teach your users another system. They’re used to NetSuite, so let’s keep them inside NetSuite and let them do their job.”
Charted processes directly on the native NetSuite Vendor Bill record, so custom fields, saved searches, workflows, and approval chains all carry over without reconfiguration.
What Charted and Catalyst say touchless processing requires
Touchless invoice processing isn’t just a feature you toggle on; it’s one of the greatest forms of accounts payable efficiency, by being able to eliminate a certain percentage of bills from needing human intervention entirely.
Charted and Catalyst walked through the five capabilities that need to work together to sustain it:
- Centralized intake: a single, consistent entry point for all invoices regardless of format or source
- High-accuracy capture: field-level accuracy, not just character extraction, that maps correctly to your NetSuite records
- Real-time three-way match: automated matching against POs and receipts, with intelligent routing when discrepancies arise
- Edge-case handling: plain-language AI Directions that finance teams can configure without IT involvement
- Approval automation: workflows that surface exceptions to the right person with the right context
Remove any one of these and the touchless rate collapses. Charted customers who implement all five see a realistic 25%+ improvement in touchless processing.
Watch the full Charted and Catalyst ERP webinar
This blog post only covers the highlights. The full on-demand session goes deeper into field-level accuracy benchmarks, live examples from Catalyst’s NetSuite implementations, and a Q&A on evaluating AP automation vendors.
Watch the on-demand webinar: Charted and Catalyst ERP on AI invoice processing in NetSuite →
Interested in seeing what Charted Invoice AI looks like inside your NetSuite instance? Get started at charted.com/get-started
