Research Note
Responsible Internal Experiment Research Note
Internal entrepreneurship is a governed experiment, not permission to bypass the company. A responsible pilot defines one job, one decision owner, one data boundary, a re
Responsible Internal Experiment Research Note
Editorial conclusion
Internal entrepreneurship is a governed experiment, not permission to bypass the company. A responsible pilot defines one job, one decision owner, one data boundary, a reversible test, baseline evidence, review criteria, and a stop, iterate, or scale decision.
The method in the public guide is a Venture Step synthesis. External sources support risk management, prototype discipline, and learning methods. They do not establish one universal corporate process.
Evidence map
| Source | Supported use | Boundary |
|---|---|---|
| NIST AI RMF Core | Govern, map, measure, and manage as continuous risk-management functions | Voluntary cross-sector framework; AI RMF 1.0 is under revision |
| NIST Generative AI Profile | Cross-sector risks and actions for generative AI design, use, evaluation, and governance | A profile, not organization-specific authorization |
| GOV.UK alpha guidance | Test the riskiest assumption without prototyping the entire service | Government digital-service context |
| GOV.UK prototype guidance | Prototypes help test before commitment and should not be copied directly into production | Digital-service design context |
| Test and Learn annex | Small-scale prototype tests can expose hidden assumptions with proportionate qualitative and quantitative evidence | UK government evaluation guidance, not an employer policy |
| ABA Formal Opinion 512 | Concrete example of competence, confidentiality, verification, supervision, and responsibility remaining with professionals | Legal ethics guidance rather than a general business rule |
Pilot design boundary
The guide must not invite readers to place client, employee, confidential, regulated, personal, licensed, or production data into an unapproved tool.
Approval should cover the problem, data, system, participants, reviewer, evaluation, retention, procurement, records, security, privacy, legal, and release path as applicable.
Measurement model
Speed, quality, rework, control performance, user experience, and total cost should be evaluated separately.
A faster first draft can create more downstream correction, monitoring, exception handling, and review. The unit of comparison is the completed and accepted workflow, not the model response.
Worked-example boundary
Until a cleared real case exists, the public guide should use an explicitly hypothetical document-intake pilot. It should not invent a customer, employer, result, or performance number.
Sources
Follow the evidence.
- Eurostat enterprise AI reportec.europa.eu
- How Compass Commercial Scales with Henryhenry.ai
- NAIOP I.CON West 2024 attendeescredaglobal.org
- NIST AI RMF Measure guidanceairc.nist.gov
- GOV.UK alpha guidancegov.uk
- Henryhenry.ai
- California DRE corporation recordwww2.dre.ca.gov
- OECD AI adoption by SMEsdoi.org
- RICS Responsible use of AI standardrics.org
- OECD 2026 adoption releaseoecd.org
- RICS AI in real estate valuationrics.org
- Navigating the Jagged Technological Frontierpubsonline.informs.org
- RICS Property Agency and Management Principlesrics.org
- California DRE salesperson listwww2.dre.ca.gov
- Avison Young company overviewretail.avisonyoung.com
- Commercial Observer on Henrycommercialobserver.com
- Test and Learn annexassets.publishing.service.gov.uk
- From Static to Strategic: AI's Role in Next-Generation Industrial Real Estatenaiop.org
- nber.org: w31161nber.org
- ABA Formal Opinion 512americanbar.org
- Experimental evidence on professional writingdoi.org
- Henry company profileycombinator.com
- NIST: Artificial Intelligence Risk Management Framework, Generative Artificial Intelligence Profilenist.gov
- Luke Tatman's LinkedIn profilelinkedin.com
- ALTA/NSPS Land Title Survey Standardsalta.org
- RICS Real estate agency and brokeragerics.org
- US Census 2022 SUSB tablescensus.gov
- GOV.UK prototyping guidancegov.uk
- UK Companies House recordfind-and-update.company-information.service.gov.uk
- About Avison Youngavisonyoung.co.uk