Contract intelligence for the agentic enterprise: Pramata connects with Claude’s Microsoft Excel integration for fast, strategic billing reconciliation.
In our latest installment of Contract Intelligence for the Agentic Enterprise, we’re covering an exciting new use case for finance teams: billing reconciliation.
Billing reconciliation shouldn’t require a detective, but most times, the process comes with a lot of digging.
Every finance team knows the drill goes something like this:
You pull billing data from your ERP, open the contract, cross-reference pricing terms, check for escalators, verify payment due dates and hope you haven’t missed anything buried in an amendment from three years ago. It’s painstaking, error-prone, and slow. And when the answer finally comes, it’s often: we’ve been underbilling this account for months.
Our newest innovation in agentic billing reconciliation has just changed that reality.
Introducing billing reconciliation with Pramata in Excel
Pramata now connects directly to Claude’s Microsoft Excel integration through a secure MCP (Model Context Protocol) connection, bringing robust contract intelligence into one of the most-used tools in your tech stack.
Here’s what that means in practice: you can take billing data exported from your ERP system, ask Claude a question in plain English, and get a side-by-side comparison of what you actually billed versus what the contract says you should have billed; complete with price escalators, payment terms, and variance analysis. All within your Excel workbook. All within minutes.
Simply put, no more toggling between systems, manual contract reviews, or tedious guesswork.
Pramata powers agentic enterprises
Through Pramata’s connection with Claude’s Microsoft Excel, AI agents access your agreed-upon terms to recommend, cross-compare, and more; closing the gap between having the right tech and getting value from it. The key is contract intelligence.
Your contracts define the binding parameters of every commercial relationship—pricing terms, service commitments, renewal dates, payment conditions, usage rights. This issue? This crucial relationship context is usually overlooked by enterprises.
Most reconciliation efforts fail because the source of truth is locked inside master agreements, order forms, and amendments accumulated over years. Pramata unlocks that contract intelligence for AI-powered billing reconciliation.
Through Pramata, Claude’s Excel integration draws on the complete picture of a commercial relationship—delivering analysis previously impractical at scale.This is the foundation of building your agentic enterprise: accessing contract intelligence that flows to the people, systems, and agents that need it, exactly when they need it.
How billing reconciliation with Pramata works
The workflow is straightforward. Start with your billing data—transactions exported from NetSuite, SAP, Oracle, or wherever your invoices live. With Pramata’s secure MCP connection active in Claude’s Excel plug-in, you can compare actuals to what was contracted using natural language.
Ask Claude to look up contractual pricing for a specific customer and set of products. Behind the scenes, the system uses agents to find the relevant contracts, determines which are active, locate order forms where those products are being sold, and pull extracted pricing data from Pramata. It also examines master agreements and amendments to surface the currently in-effect terms, including price escalators and payment conditions.
Then ask Claude to compare. It reads your spreadsheet data, aligns each product’s billing history against the contract intelligence from Pramata, and writes the results directly into a new tab in your workbook: a detailed, line-by-line reconciliation done in seconds.
Immediately actionable results
The analysis output is practical and immediately actionable. For each product and billing period, you get the amount that was actually billed alongside what should have been billed per the contract. Where price escalators apply, the system identifies which ones were missed and calculates the cumulative variance—recognizing, for example, that you’re in year five of a contract and multiple annual increases were never applied.
Through this powerful integration, Claude also evaluates payment terms. If your billing system has a customer set to net-30 but the contract specifies net-60 for certain products, that discrepancy surfaces clearly.
The result is a complete picture: how much revenue is being left on the table, where your billing system needs to be updated, and exactly which contractual terms aren’t being enforced.
Why contract intelligence makes the difference
Operating blindly leads to missed revenue opportunities and unaccounted for funds.Pramata solves this by maintaining contract intelligence at the product level. That means the system doesn’t just know that a customer has a 3% annual escalator—it knows which products carry 2% and which carry 3%, and it applies the right rate to each line item. That granularity is what turns a rough estimate into a precise reconciliation.
This contractual data is proprietary to your organization and securely accessible only through Pramata. It’s not available through any general-purpose AI model. The MCP connection ensures that contract intelligence flows into your workflow without ever leaving your organization’s security perimeter.
Who should use AI-powered billing reconciliation
This capability is built for the people closest to billing accuracy and revenue assurance:
Financial analysts and revenue teams responsible for ensuring invoices reflect contractual commitments. Instead of hours spent cross-referencing contracts, the analysis happens in minutes directly in Excel.
Finance and accounting leaders focused on revenue leakage and billing compliance. With contract-aware reconciliation, underbilling patterns become visible before they compound into significant shortfalls.
Sales operations and deal desk teams who need to verify that negotiated terms—including product-level escalators and custom payment schedules—are actually being applied downstream.
Legal and legal ops professionals who want assurance that billing practices align with what was agreed to, particularly across complex, multi-product customer relationships.
Use cases beyond reconciliation
While billing reconciliation is a powerful starting point, the same underlying capability—connecting live contract intelligence to the tools your teams use every day—opens the door to a range of applications:
- Revenue recovery audits –Identify historical underbilling across your entire customer base, not just one account at a time.
- Contract compliance monitoring – Continuously verify that operational systems reflect current contractual terms as agreements are renewed and amended.
- Renewal preparation – Before approaching a customer about renewal, understand exactly what’s been billed, what was contracted, and where pricing adjustments are warranted.
- Vendor billing validation – Apply the same logic in reverse — ensuring that what your vendors are billing you matches what you agreed to pay.
Contract intelligence matters to billing reconciliation
What makes this remarkable isn’t just the speed. It’s that contract intelligence is now meeting you where you already work. Financial analysts don’t need to learn a new platform or request data from another department. With Pramata’s new MCP connector, the contractual context you need for strategic decision making flows directly into Excel, ready to go from the moment a question is asked.
This is what contract intelligence built for the agentic enterprise looks like. Not locked away in a contract repository, but actively powering the workflows and processes that drive your business forward.
Stay tuned for more use cases in our Contract Intelligence for the Agentic Enterprise series!
Ready to see how contract intelligence transforms billing operations? Schedule a demo.