A Commercient customer emails customer success asking why a charge on their invoice doesn’t match what they expected, and what exactly their license includes. Two years ago, that question would have sat in a queue while Vicky Mazo’s team tracked down someone on the accounting team with access to the account, a process that could eat up half a business day or longer. Today, Vicky and her team ask Charlie, an agent built on Commercient AI that reads directly from Commercient’s own ERP data, and has an accurate answer in under a minute.
That shift, from waiting on another team to querying an AI agent connected to live ERP and CRM data, is what an AI agent for customer success teams actually looks like in practice. It’s changing how fast mid-market service and support teams can respond to questions that used to require a hand-off.
Why Did Billing and Contract Questions Take So Long to Answer?
Vicky Mazo is a Customer Success Professional at Commercient. Her team is the main point of contact for customers and the bridge between customers and the support team; fielding questions, following up on projects, and coordinating internally so customers get the help they need.
Before the AI agent, any question that touched billing, data usage, contract terms, or license details ran into the same wall: customer success didn’t have direct access to that information. It lived in the company’s ERP, and only certain people, mainly in accounting, had access to it.
“Before, sometimes it really did take half a day or longer,” Vicky says. “It depends on who has the information you need. Even with simple questions, we couldn’t always get an answer right away, because we had to verify with the proper team to get accurate information before getting back to the customer.”
The questions themselves usually weren’t complicated. However, the challenge was locating and confirming the right information fast enough, while handling multiple customer accounts at the same time.
How Much Time Do Manual ERP Lookups Really Cost Support Teams?
Commercient isn’t an isolated case. According to Salesforce’s State of Sales Report, 2026, reps spend 22% of their average workweek manually entering data, a category that covers exactly the kind of account and record lookups Vicky and her team used to route through accounting.
For a mid-market company juggling dozens of active customer accounts, that isn’t a one-off delay. Multiply “half a day” by every billing or contract question that comes in during a week, and it becomes a structural tax on how fast customer success can actually respond to their customers.
What Does an AI Agent Tied to Live ERP Data Actually Change?
Commercient’s AI Solutions team built an internal agent, nicknamed Charlie, that queries Commercient’s own ERP data directly, the same account, billing, and contract records that used to require a request to the accounting team. Charlie doesn’t replace that team; Instead, it gives customer success a first stop for the account-level information they need to answer a question on the spot.
“It could save us time, really,” Vicky says. “If a customer asks a question, we check with Charlie first, and we’ll have an answer in seconds or up to a minute. If we need more information, or we need to verify something further, that’s the time we reach out to the accounting team.”
That first-stop model works because Charlie sits on top of data that’s already kept in sync between systems through Commercient SYNC, rather than requiring someone to log into the ERP directly. Commercient AI Agents can be scoped with role-based access, so customer success sees exactly the account information it needs without opening the full ERP to every department.
Which ERP and CRM Integrations Make This Kind of Agent Possible?
The same SYNC’d data that powers an internal agent like Charlie is available to any Commercient customer connecting their own ERP and CRM. Three integration pairs show how that plays out in practice:
SAP + Salesforce: Sales and finance data usually lives in separate systems at SAP shops, forcing reps and support staff to ask someone else for order, invoice, or account status. Once SYNC’d, that same data is queryable from inside Salesforce or through an agent layered on top of it.
Oracle NetSuite + HubSpot: NetSuite holds the financial and order history that HubSpot users usually can’t see natively. SYNCing the two means a customer-facing team can pull billing and order data without a separate request to the accounting or finance team.
Sage Intacct + Salesforce: Sage Intacct is where the accounting detail lives for many mid-market companies, while Salesforce is where the customer relationship lives. Connecting them closes the exact gap that used to send, for example, Vicky’s team to accounting in the first place.
What Does This Look Like in Practice?
A customer emails asking about a line item on their latest invoice that they don’t recognize. Before Charlie, Vicky would forward the question to accounting and wait, sometimes into the next business day, before she had enough information to reply.
Now she opens Charlie, asks about the account’s current contract terms and recent billing activity, and has an answer in under a minute, so she can reply to the customer directly. She still loops in the accounting team when a question needs deeper verification, but that’s the exception now, not the default first step.
What Does Commercient’s Own Customer Success Team Say About Its AI Agent?
“AI doesn’t replace me. It doesn’t replace the customer success team. It’s a help, an assistant to us, to pull that information and those answers quickly.” – Vicky Mazo, Customer Success, Commercient
“The more time we save on searching and repetitive tasks, the more time we can focus on our customers and building that relationship. For me, that’s the real value.” – Vicky Mazo, Customer Success, Commercient
Vicky isn’t the only one at Commercient who has felt this shift. Her colleague Holly, on the accounting team, described a similar change in how her team fields repetitive account questions in a separate blog: How Commercient’s AI Accounting Agent Cut Repetitive Support Requests by 75%.
Frequently Asked Questions
What is Charlie, Commercient’s internal AI agent? Charlie is an internal AI agent built by Commercient’s AI Solutions team that connects directly to Commercient’s own ERP data, letting the customer success team look up billing, contract, and account details in seconds, without asking another department to check the record. It’s an internal example of the same Commercient AI Agents capability offered to Commercient’s customers.
How does an AI agent get access to ERP and CRM data? It connects to the same synced dataset that Commercient SYNC keeps up-to-date between a company’s ERP and CRM, then answers questions through natural-language chat instead of requiring someone in accounting to open the ERP directly.
How long does it take to set up an AI agent like this? Implementation timelines vary based on how many systems and data sources are connected. Because Commercient AI Agents run on top of data that’s already connected through SYNC, deployments typically move faster than a standalone integration project built from scratch.
Does an AI agent like this replace the customer success or accounting team? No. At Commercient, Charlie is built to handle the lookup step, not the conversation. The customer success team still owns communication with the customer and understanding their situation; the agent removes the wait for information in between.
Which ERP and CRM systems can Commercient’s AI agents connect to? Commercient supports 150+ ERP and CRM systems, including SAP, Oracle NetSuite, Sage Intacct, Salesforce, HubSpot, and many others, so an AI agent can be built on top of whichever systems a company already runs.
See What an AI Agent Could Do for Your Team
See how Commercient AI Agents connect to your live ERP and CRM data so your team can answer account and billing questions in seconds instead of hours, enhancing your customer experience in the process. Book a free 30-minute integration demo.
