The New AI Platform from Open To Close: When Transactions Start Building Themselves

If you’ve ever stared down a Monday morning inbox full of contracts and thought, “I’m about to spend the next three hours retyping what’s already on page one,” you are exactly who Open To Close is building their new AI platform for.

And it is important to be clear from the start:

This is not an upgrade to the current system.
This is not AI added into existing workflows.

This is a completely new AI-first platform, built from the ground up around how transactions actually exist in the real world across contracts, counters, addenda, listing data, and supporting documents.

At the center of this platform is Ollie, Open To Close’s new AI engine, designed to take the most repetitive parts of transaction setup, intake, field entry, task building, template logic, document interpretation, and turn them into something transaction professionals have wanted for years:

Upload the documents → get a clean, structured transaction → with tasks, fields, and communication ready for review.

Not magic.
Not hands-off.
But fast, structured, and designed for real operational volume.

Before we dive into the specifics of this new launch check out this overview of the top TC Software systems currently out there.  

The Real Shift: From Form-Driven Systems to Contract-Driven Systems

For decades, transaction software has asked humans to translate contracts into systems. The new Open To Close AI platform flips that model.

Instead of asking users to rebuild the transaction manually inside software, the system starts with the documents themselves. The contract becomes the foundation, not the final step.

In the new interface, users initiate transactions through a simplified AI-first workflow, upload their documents, and guide Ollie on what information should be extracted and how it should be interpreted.

And that last part matters.

Open To Close is being refreshingly realistic about AI. Ollie is not designed to guess intent. It is designed to execute within a system. When instructions are clear, output becomes predictable and scalable.

Ollie Is Built to Understand the Entire Transaction — Not Just One Document

One of the most important capabilities being built into Ollie is multi-document intelligence.

Ollie does not read a purchase agreement in isolation. It reads the full transaction story. That includes purchase agreements, counters (even when written in free-form language), addenda, and any supporting documents added throughout the lifecycle of the file.

As new documents are uploaded, Ollie reconciles what changed, what was overridden, and what ultimately controls the transaction. In real-world negotiation scenarios where price, concessions, and inclusions may change multiple times, Ollie is designed to identify the final controlling terms based on the full document chain.

Instead of forcing humans to mentally reconstruct the deal across five or six documents, Ollie presents a clean, reviewable transaction record and shows where the information came from.

The Three Structural Layers That Power the Platform

While the experience feels simple, the system is structured around three core operational layers that make scalability possible.

Prompt Templates function as the intake logic. Rather than entering data manually, teams define what questions should be asked and what actions should happen based on answers. Ollie can answer questions using contract context or prompt users when needed. Those answers can trigger workflow automation such as installing task templates, adding field groups, or activating document logic.

Extraction Templates define exactly what data should be pulled. The system encourages targeted extraction rather than pulling everything from every contract. Teams can define core fields, contract-type-specific fields, and state-specific fields. Ollie can also help generate extraction templates automatically by scanning documents.

Document Processing runs in the background. Once documents are uploaded and templates are applied, Ollie begins building the transaction without requiring users to sit and wait. Multiple files can be processed simultaneously, allowing teams to keep working during high-volume intake periods.

For high-throughput TC teams, this alone is a massive operational unlock.

MLS, Listing Sheets, and Property Data: The Direction Is Multi-Source Intelligence

One of the most common operational questions is whether Ollie will be able to help populate property-level information like year built, HOA presence, pool indicators, and listing characteristics.

The direction of the platform is clearly toward multi-source transaction intelligence. Ollie is being designed to extract information not only from contracts, but also from listing sheets, MLS exports, and other uploaded property documents. When those documents are available, Ollie can extract and use that data to help complete the transaction picture.

There is also discussion of using publicly accessible listing data sources, such as public listing websites, to help complete context when needed.

It is important to be realistic about direct MLS database access, which is governed by licensing and data permissions. But from a workflow perspective, the platform is clearly moving toward reducing the need for humans to cross-reference property data manually across multiple sources.

Email and Communication Automation Without Smart Block Complexity

Another major shift is moving away from deeply nested conditional email templates toward prompt-driven communication.

Instead of building fragile conditional logic trees, users can instruct the system using clear prompts. Ollie reads the full transaction context and includes only relevant information. If a property has HOA information, it includes it. If it does not, it leaves it out.

This reduces template maintenance, eliminates most smart block debugging, and makes communication automation easier to understand and maintain long-term.

AI-Generated Fields Without Database Chaos

Ollie can also scan documents and suggest new fields when contract structures introduce data that does not currently exist in the system. Users retain full approval control, which is critical for long-term database health.

The system also helps identify potential duplicate fields so teams can maintain clean data structures while still benefiting from AI-driven system expansion.

Global Rules and Brokerage-Level Operational Intelligence

The platform also supports global rule training so extracted data and communications can align with brokerage or team operating standards. This moves AI beyond task automation into true operational consistency.

At the same time, the team is realistic about ambiguity. When contract language is unclear or conflicting, Ollie presents extracted information transparently rather than forcing a guess. Humans still make final decisions.

What This Means for Transaction Professionals

The real story here is not automation replacing transaction professionals. It is automation removing the lowest-leverage work from the transaction process.

The role shifts from manual entry and template building toward system oversight, automation design, exception management, and compliance review. The most valuable TC skill sets will increasingly be systems thinking and workflow design, not data re-entry speed.

The Bigger Industry Moment

The most important thing about this release is not speed, although speed will improve dramatically.

The real shift is structural. Transaction systems are beginning to move from manual reconstruction toward transaction cognition. Systems are beginning to read the transaction, understand the negotiation story, and assemble the operational workflow automatically.

That is a fundamental change in how real estate operations will scale over the next decade.

The Real Takeaway

The goal is not to remove humans from transactions.
The goal is to remove the need for humans to manually stitch together information that already exists.

Instead of piecing together contracts, counters, addenda, listing data, and property context manually, Ollie is being built to do the heavy lifting and present a clean, reviewable record with visibility into where every piece of information came from.

That is where real leverage begins.

To see it live check out this Loom Video from Shane.