Contracts are the source of record for billing and revenue.

They define what customers should be charged, when charges occur, and how changes like amendments or renewals are handled. But contracts are written for humans, not systems. They vary by deal type and customer, evolve over time, and often are hard to standardize. When contract data is interpreted incorrectly at ingest, every downstream workflow is at risk of being inaccurate.

That is why contract ingestion is where revenue automation either works or breaks.

Today, we are excited to launch Contract Agent in Tabs, which interprets contracts at ingest to power accurate billing and revenue automation.

Tabs has always enabled automated instant contract processing. Now, Contract Agent adds an intelligent, learned layer that continuously improves how contracts are interpreted at ingestion. This learning logic makes Contract Agent truly agentic: it doesn’t just execute a static automation workflow, it adapts and improves its decisions over time based on how contracts are structured and applied.

Faster contract setup, fewer downstream surprises

The real value of contract processing is not just moving faster. It is making sure the data is correct, upfront, to accurately automate in billing and revenue workflows.

Most platforms can help teams move faster when setting up contracts, but without a trusted contract record as the foundation, downstream automation still requires manual review, exception handling, and cleanup as complexity grows.

The Contract Agent is built to solve the root problem. It ensures Tabs correctly understands real contract data upfront so downstream workflows are not only fast, but accurate.

Introducing Contract Agent

The Contract Agent’s job is simple: define the contract correctly at ingest.

It interprets key contract details like customer information, pricing, billing schedules, and renewal terms, then structures that data into a trusted contract record inside Tabs. That record is what Tabs uses to generate invoices and run billing and revenue workflows with confidence.

How the Contract Agent works

Extract

The Contract Agent instantly processes contract data at ingest and extracts the details Tabs needs to run billing and revenue.

For teams with more complex contracts, instant extraction alone is not enough. Contract formats vary by merchant. This is why our Contract Agent also includes contract calibration. Contract calibration trains the agent on your real contracts through a guided workflow. Teams can feed the agent real contract examples, verify extracted terms as ground truth, and teach it how your contracts work. That learned logic is then applied automatically to new contracts going forward.

Instead of relying on rigid rules or generic templates to keep contract setup accurate, the Contract Agent uses AI to get smarter as your contracts evolve.

Confirm

After extraction, teams can review extracted terms side by side with the original control, certify what is correct, certify what is correct, and edit key fields like products and billing terms before anything runs downstream.

This ensures the contract record in Tabs matches what was actually agreed to, and gives finance teams confidence in what the system will automate next.

Run

Once Tabs has a trusted contract record, it can generate invoices and run downstream workflows accurately, based on what was actually agreed to.

When contracts are interpreted correctly at ingest, downstream processes require less manual correction and scale more reliably.

This is how the Contract Agent delivers speed, accuracy, and control at the point where billing and revenue automation either works or breaks.

Why Tabs is different from other “agents” today

Many platforms are starting to talk about agents, but many still rely on the same underlying approach. Humans configure contract logic, update it when pricing changes, and step in when exceptions break automation.

Our Contract Agent is designed to be different since it uses AI to interpret real contract data upfront, then learns merchant specific contract logic over time so downstream automation becomes more accurate as contracts evolve.

Built on the Commercial Graph

The Contract Agent is powered by Tabs’ Commercial Graph, a learning data model that captures and evolves the full customer relationship across contracts, usage, billing, payments, and revenue over time.

This is what makes Tabs automation not just fast, but accurate. When Tabs understand contract context upfront, it can preserve that context downstream so workflows stay accurate, not just fast, as your business scales.

It does not end here

The Contract Agent is the first product proof point in Tabs’ broader agents architecture. This launch sets the foundation for our upcoming agents across Billing, Collections, Revenue, and Reporting. We are starting with contracts because contract accuracy determines everything downstream. When you get the source of record right, you can automate what comes next with confidence.