Early-stage startupIllustrative case study
A data room that built itself
A SaaS startup kept evidence as it worked, so diligence became a matter of days.
Illustrative. This is a fictional composite written to show how the model works. The people, startup and details are invented. It is not a real client, and no result or outcome is claimed or guaranteed.
The situation
The founders had a strong pitch and a first investor meeting. They knew diligence would follow but had not prepared for it.
A quick self-check against the UERF showed that the story was ahead of the records: the cap table in the deck differed from the share records, key metrics were quoted from memory, and legal, IP and compliance documents were scattered.
The question in the way: Will an investor trust our records and story?
- Team
- Five people, three founders
- Sector
- Business software (SaaS)
- Stage
- Early revenue, preparing for a pre-seed conversation
- Route
- Funding-readiness plan
What the diagnostic found.
The UERF baseline ranked the gaps by urgency. Severity is shown by name and symbol.
- CriticalCap table in the pitch did not match the legal records.
- HighNo data-room index.
- HighNo history behind the metrics.
- MediumUse of funds not tied to milestones.
- MediumIP and product evidence scattered.
The plan, in order.
One priority map, worked through by the roles the stage called for.
First 7 days
- Reconcile the cap table with registers and agreements and correct the deck.
By day 30
- Create the data-room index and list what is missing.
- Start a monthly KPI sheet.
By day 60
- File legal, compliance, IP and product evidence against the index.
- Tie each planned expense in the use of funds to a milestone.
- Run a mock diligence session with an adviser.
Who helped
What they produced
- Reconciled cap table
- Data-room index
- KPI sheet
- Pitch narrative
- Diligence checklist
Connected modules
TransactionVeritas, Ready1Go. How they connect
Step 5 and 6: Prove, then raise and scale
What changed.
- When a request for documents came, the founders answered from an organised index instead of searching inboxes.
- The pitch now claimed only what the records could back up.
- The mock diligence session surfaced two questions the founders had not thought to prepare for.
- The founders reported feeling more in control of the conversation, whatever its outcome.
Lessons
- Make the records agree with the story before the meeting, not during diligence.
- Evidence collected as you work is far cheaper than evidence collected on request.
- Readiness improves the conversation. It does not decide the result.
Illustrative. This is a fictional composite written to show how the model works. The people, startup and details are invented. It is not a real client, and no result or outcome is claimed or guaranteed.
Other case studies.
- Student foundersThree friends, one app, no paperworkA campus ed-tech team found out who owned what before an investor asked.
- Early-stage startupThe calendar nobody ownedAn agri-tech startup turned scattered filings into one calendar and a folder of proof.
- Early-stage startupFrom hackathon prototype to security questionnaireA health-tech team answered a customer’s security questions before they became a rebuild.