Deals Are Being Repriced by Execution
Commercial real estate is no longer constrained by capital.
Across the United States, transaction activity has slowed, not because conviction is absent, but because deals take longer to underwrite, longer to validate, and longer to close. In a market defined by pricing volatility, shifting debt markets, and increased scrutiny on assumptions, the ability to move quickly without sacrificing accuracy has become a defining characteristic of successful investment platforms.
Commercial real estate remains one of the only institutional asset classes where the most critical phase of a transaction, diligence, is still managed through fragmented workflows across emails, spreadsheets, and static data rooms.
This is beginning to change.
A new category of proptech platforms is emerging, focused on how deal teams process, structure, and act on complex information. At the center of this shift is Tower, built specifically for commercial real estate deal teams managing high-volume, document-intensive diligence processes.
Together, these platforms represent a broader transition in commercial real estate, from document-driven workflows to systemized transaction infrastructure.
A High-Value Industry Operating on Fragmented Information
Commercial real estate transactions are fundamentally information exercises, requiring the ingestion, interpretation, and validation of large volumes of documentation across multiple stakeholders.
A typical transaction involves hundreds of documents, including leases and amendments, rent rolls, financial statements, estoppels, tenant correspondence, and legal, environmental, and title reports. Despite the scale and importance of this process, the underlying workflows remain highly fragmented and largely unchanged.
Deal teams continue to rely on email chains to distribute documents, spreadsheets to track diligence progress, and data rooms that function as static repositories rather than active workspaces. The process of identifying missing information, validating assumptions, and aligning across internal teams is often manual, iterative, and time-consuming.
This creates inefficiencies across the transaction lifecycle. Information exists, but it is not structured in a way that reflects how deals are evaluated. Teams are involved, but they are not always aligned around a shared understanding of risk. Decisions are made, but often without full visibility into the completeness or reliability of the underlying data.
As market conditions tighten and the margin for error narrows, these inefficiencies are becoming increasingly difficult to absorb.
From Document Repositories to Structured Systems
The first major shift underway is the move from document storage to structured systems that reflect how diligence is actually performed.
Traditional data rooms were designed to provide access to information, not to facilitate understanding. While they solved for centralization, they did not solve for organization, context, or completeness.
Tower is built on a different premise. The platform provides a centralized, collaborative workspace that replaces fragmented workflows across emails, spreadsheets, and data rooms, transforming diligence from a passive process into an active system.
Documents are automatically organized, related materials are grouped, and missing or incomplete information is surfaced in real time. What was previously a collection of disconnected files becomes a structured and navigable source of truth.
The implications are immediate. Deal teams are no longer required to spend time locating and organizing information, and can instead focus on interpreting it, validating it, and using it to inform decision-making.
This shift, from retrieval to structured understanding, represents a meaningful improvement in both speed and quality of analysis.
From Manual Review to Systemized Awareness
The second shift underway is the transition from manual review to system-assisted awareness.
Historically, diligence has been a labor-intensive process in which analysts manually review documents, cross-reference lease terms with financials, and identify inconsistencies across multiple data sources. While effective, this approach is inherently time-consuming and subject to variability depending on the experience and capacity of the team.
Tower introduces a layer of systemization into this workflow by identifying gaps in information, grouping related documents, and highlighting areas where data may be incomplete or inconsistent.
This does not eliminate the role of the analyst. Rather, it augments it by ensuring that attention is directed toward the areas of highest relevance and potential risk.
The result is a more consistent and efficient process in which teams can reach informed conclusions more quickly without sacrificing rigor.
Coordination as a Competitive Advantage
Improved structure and awareness do not fully address the constraints in commercial real estate transactions. The third and most critical challenge is execution.
Transactions today require coordination across investment teams, asset managers, legal counsel, and external advisors, each operating with different information sets and priorities. In traditional workflows, this coordination occurs sequentially, with information passing between stakeholders over time.
This creates delays, misalignment, and, in some cases, incomplete understanding of the deal.
Tower addresses this by creating a shared operating layer for deal teams, in which information is accessible in real time and organized in a way that reflects the needs of each stakeholder.
This enables parallel workflows rather than sequential ones, allowing teams to align more quickly, identify issues earlier, and move toward decision-making with greater confidence.
In a competitive transaction environment, this ability to coordinate efficiently is not simply an operational improvement. It is a source of advantage.
Structuring the Transaction Layer
The evolution of proptech is increasingly focused on the transaction layer, which has historically received less attention than data, operations, and leasing.
Innovation in commercial real estate has traditionally centered on improving access to information or optimizing asset performance. Diligence, despite being central to every transaction, has remained largely unchanged.
Platforms like Tower are beginning to define a new layer within the technology stack.
Data platforms provide inputs into the transaction process. Diligence platforms structure and validate those inputs. Execution platforms enable transactions to move forward and close.
As this stack develops, the transaction process becomes more integrated, less fragmented, and more responsive to the demands of the market.
Market Conditions Are Forcing Operational Discipline
The timing of this shift is not coincidental, but rather the result of converging market pressures.
Pricing uncertainty has increased the need for rigorous and comprehensive diligence, as historical assumptions are no longer sufficient to support investment decisions. Capital constraints have reduced transaction volume while increasing the expectations for deal quality. At the same time, organizations are under pressure to operate more efficiently, often without corresponding increases in headcount.
These dynamics are exposing the limitations of traditional diligence workflows, which are not designed to operate at the speed or level of precision now required.
As a result, technology is increasingly being adopted not as an enhancement, but as a necessity.
A Large and Underpenetrated Opportunity
Commercial real estate transaction volume in the United States consistently reaches hundreds of billions of dollars annually across cycles, with each transaction requiring a diligence process of varying complexity.
Despite the central role of diligence in determining transaction outcomes, the technology spend dedicated specifically to structuring and optimizing this process remains relatively limited.
Platforms like Tower operate at the intersection of document management, workflow infrastructure, and AI-assisted analysis, each of which represents a significant market on its own.
Combined, they represent a large and underpenetrated opportunity within proptech, with the potential to impact every transaction rather than a subset of the market.
Implications for Owners and Investors
Commercial real estate is transitioning from a relationship-driven transaction model to a system-enabled one, in which the ability to process information efficiently becomes a key determinant of performance.
Organizations that are able to structure complex information, identify risks early, align teams effectively, and execute transactions quickly will have a meaningful advantage in competitive processes.
This has direct implications for how firms invest in technology, structure their teams, and approach deal execution.
Over time, the gap between organizations that adopt these systems and those that rely on traditional workflows is likely to widen.
What This Means for Proptech
Commercial real estate is not being redefined by capital cycles alone. It is being restructured by how decisions are made.
The emergence of platforms like Tower signals a broader shift in the industry, in which diligence is no longer treated as a back-office function, but as a core component of competitive advantage.
For decades, success in commercial real estate was driven by access to deals and relationships.
Increasingly, it will be driven by the ability to process information, structure it effectively, and act on it with speed and precision.
