CEO Column | C3 | Agent Room: The Data Room Will Upgrade into Something “Machines Can Procure”

In the future no one will be looking at slide decks; only AI will be reading your company.

The day I first realized that the Data Room had become “obsolete” was in a building at Raffles Place in Singapore. The other side did not want my slides, did not want me to present, and did not even open Zoom. He threw me just one sentence: “Please upload to our Agent Room.”
Then he added a more critical one: “It’s not for us. It’s for our agents.” In that instant I understood completely: future due diligence (DD) will not be humans reading documents but AI parsing enterprises.



01 | A Data Room Is for People; an Agent Room Is for AI

The old Data Room had a pile of PDFs, a pile of scanned files, a pile of image-based reports, a pile of unparseable flowcharts, a pile of documents in inconsistent formats, a pile of SOPs written by feel. Investors would spend two weeks reading slowly, but AI won’t wait for you. AI needs structured, versioned, parseable, traceable, comparable and auditable material. So the Data Room is being phased out, replaced by the Agent Room™ — a document format in which machines can perform DD directly.



02 | Why Is the Agent Room the New Standard? Because the First Step of AI Procurement Is “Parsing”

The core task of an AI procurement Agent is not to understand you, like you, be persuaded by you or be moved by you. It has only one task: can it “break you down” into a model that can be compared, quantified and audited?

This means your documents must meet the following conditions:
1. Machine-readable

It isn’t about whether you can understand it; if AI can’t, it fails outright.

2. Parameterized
Not you writing “we are strong,” but:
* Cost composition
* Parameter assumptions
* Data sources
* Construction-schedule model
* Performance curves
* SLA values
* Failure rates
* Sensitivity analysis

All of it must break down into fields.

3. Traceable
Every conclusion must trace back to:
* A file
* A dataset
* A process
* A person

This is an Agent’s basic requirement.


4. Comparable
For companies of the same type, AI must be able to compare within 30 seconds:
* Cost
* Risk
* Delivery capability
* Moat
* Completeness of resources

If the format you provide is too unusual = eliminated outright.


03 | PSF’s Lesson from Cross-Border Deals: If You’re Not Machine-Readable, You’ll Be Excluded

Over the past two years, whether it was:
* Shiga, Japan
* Brno, Czech Republic
* The Singapore compute center
* iSANetwork in the US
* The UAE’s AI healthcare alliance

they had only one thing in common:
the first gate is always an AI Agent, not a person. Let me show you the most realistic flow:
Old world: hand documents to a person → the person can’t finish reading → the person asks questions → the person arranges another meeting
New world: drop the documents into an Agent → the Agent does four things:
1. Parsing
2. Verification
3. Benchmarking
4. Risk Scoring

In the end the human receives just two words: *Adopt*, * Reject*

You didn’t lose to a competitor; you lost to “format.”


04 | So What Is Needed in an Agent Room? (The Most Important Part)

Below is the “standard 12 items” that cross-border funds, governments and companies are using:

1. Company Identity (Identity Pack)
* Legal-entity structure
* Equity (machine-readable)
* List of directors and supervisors
* Business-unit structure
* Asset list (including GPU types, equipment serial numbers, etc.)

2. Business Model (Business Model Pack)
* Revenue logic (parameterizable)
* Cost model
* GPM drivers
* Unit economics (AI-ready)
* Main risks and buffers

3. Tech Stack (Tech Stack Pack)
* GPU model, PUE, network architecture
* Cooling scheme
* Power supply
* Version-control process (Model Ops / Agent Ops)

4. Workflow (Workflow Pack)
A process can’t be just a diagram; it must break down into:
* Tasks
* Events
* Parameters
* SLAs
* Fallback algorithms

5. Contracts (Contract Pack)
Not PDFs, but:
* Parseable terms
* Parseable cash flows
* Parseable default events
* Parseable risk events

6. Supply Chain (Supply Chain Pack)
AI must be able to see:
* Risk nodes
* Schedule linkages
* Critical dependencies
* Substitutability

7. Government Documents (Regulatory Pack)
* MOUs
* Compliance
* Building permits
* Energy certificates
* Land-use permits

All must be machine-readable.

8. Financial Model (Financial Model Pack)
Not an Excel screenshot, but:
* Adjustable parameters
* Sources of assumptions
* Sensitivity
* Method of verification
* Cash-flow model

9. Data Sovereignty (Data Sovereignty Pack)
* Zoning
* Permissions
* Anonymization
* Monitoring
* Auditing

10. Incidents and Rollback (Incident Pack)
* Incident definitions
* Circuit-breaking
* Downgrade
* Rollback
* Notification process

11. Customer Success (Customer Delivery Pack)
* Past deliveries
* SLA attainment rate
* Incident rate
* Success cases

12. ESG / Energy (Sustainability Pack)
AI will calculate:
* Carbon emissions
* Energy efficiency
* Renewable-energy usage

This is the full skeleton of the Agent Room.



05 | Conclusion: You’re Not Preparing Data; You’re Preparing to Be “Procurable”

All future cooperation will follow this logic: you → upload → Agent → score → human signs.
So you must ask yourself three questions:
1. Can my current documents be understood by AI?
If not = unqualified.

2. Can all my narratives be converted into a “verifiable format”?
If not = high risk.

3. Do I have my own Agent Room format?

If not = forever behind.


The real conclusion is just one sentence: the future is not company-to-company cooperation but AI-to-AI negotiation.
And your task is: to turn yourself into a trustworthy enterprise that “machines can transact with.”