AI News for Business: OpenAI Policy Shift, Microsoft + NVIDIA Agentic Launchpad, MIT CSAIL Patterns, and NHS Prostate Cancer AI
Hello from Istanbul!
I’m here to speak about AI for Sales and Marketing to EOrs from around the world at the AI summit this week. I’ll do my best to get a recording and share it with you when they say I can. For now, enjoy the updates…and some cat pics on the blog.
Doing a quick skim? Here are five stories to help you move from curiosity to action. You’ll find startup programs you can plug into, deployment patterns your engineers can use, real clinical impact, and policy clarity you can hand to compliance.
This week’s insights
Microsoft and NVIDIA Launch Agentic Launchpad for UK and Ireland Startups
Microsoft, NVIDIA, and WeTransact have opened the Agentic Launchpad to help early teams build and commercialize autonomous AI. The program offers Azure credits, NVIDIA tooling, and hands-on engineering support. Applications are open, and it’s part of Microsoft’s broader AI investment in the UK.
Why it matters: If you partner with startups, this is a low-friction path to pilot agentic tools that already fit within an Azure environment. This means enterprise buyers get shorter integration cycles.
My take: I’d treat this as a feeder for proofs of concept in your operations, support, and finance departments. Follow the companies in the program and see if there’s anything you can use.
Link: Windows Central report and Microsoft announcement
MIT CSAIL Shares Practical Patterns for Clearer, Safer AI-generated Software
MIT researchers have introduced a framework that makes AI-generated code more legible and modular for real-world deployment. It works by splitting systems into small, manageable concepts with explicit synchronizations, and a lightweight DSL helps models express these relationships consistently.
Why it matters: Modular, explainable code reduces both integration risk and long-term maintenance costs. It also gives your governance teams clearer and more defined points for testing.
My take: Ask your engineering team to trial these patterns in one specific service. Have them document the effects on code review time, the number of defects, and how easily they can swap between different models.
Link: MIT News
Healthcare Advance: NHS Begins Multi-site Prostate Cancer AI Trial
NHS hospitals are set to evaluate an AI for risk scoring and diagnostics to guide prostate cancer treatment decisions. The goal is to speed up diagnosis and reduce instances of over or under-treatment for thousands of patients.
Why it matters: This allows providers and payers to target resources more effectively and at an earlier stage. For medtech and pharma companies, it means they can design clinical trials with better patient selection from the outset.
My take: If you operate in the health or life sciences sector, this is a model to watch.
Link: The Guardian coverage and NHS sources
OpenAI Policy Clarification Makes Boundaries Clearer for Legal and Medical Use
There’s been some confusion online, but OpenAI has clarified its usage policies. They continue to prohibit providing tailored advice in licensed fields (like law or medicine) without the involvement of a qualified professional. This means ChatGPT can still offer general information, but it cannot give personalized legal or medical guidance unless a licensed professional is in the loop.
Why it matters: This clarification gives compliance and risk teams the confidence to set clear guardrails. Your employees can still benefit from AI for research and general explanation, while high-stakes advice is correctly routed to professionals.
My take: It’s a good time to update your internal AI use policy and employee prompts. Make sure you add a clear escalation path for any topics that touch on legal, finance, medical, or mental health advice.
Link: OpenAI Usage Policies
Policy and Courts to Watch: New US Health AI Guidance and a Pivotal UK IP Ruling
Two big updates for your radar. First, The Joint Commission and the Coalition for Health AI released initial guidance for US health systems, covering governance, transparency, and safety reporting for AI adoption.
Second, in the UK, the High Court’s ruling in Getty Images v. Stability AI limited key copyright claims while noting some trademark issues. This offers fresh context for how model training is viewed.
Why it matters: Hospitals now have a practical checklist for responsible AI adoption, and AI builders have clearer IP risk contours to work within.
My take: Map the new health guidance to your internal review checklist. On the IP front, this reinforces the need to maintain provenance logs for your training data and models, and to meticulously document your fine-tuning sources.
Links: Joint Commission update and case coverage from The Guardian.
First Steps to Implement AI in Your Business
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Want in on the next cohort? Sign up for the waiting list here!
3 AI Smart Tips
Tip #1 Read.AI for Fast Document Retrieval
The team used Read AI to instantly locate documents, links, and proposals scattered across Google Drive, Slack, and email threads. Instead of manually searching folders, Read surfaced the exact files and even linked back to related emails.
Example prompt:
“Find the latest OS proposal and show me the related email or Slack message.”
Use Read’s “Search in Workspace” to save time finding meeting notes, project docs, or shared links across platforms.
Tip #2 Gemini for Calendar Event Management
Crystal showed how Gemini can create, edit, and organize Google Calendar events using plain language. You can schedule meetings, adjust times, and even convert time zones through prompts.
Example prompt:
“Add a meeting with [Client’s name] tomorrow at 4 PM PST titled ‘Airport Transfer’ and include a link to the Uber app in the notes.”
Always double-check events after Gemini adds them sometimes it may misread time zones or fail to update correctly.
Tip #3 Gemini for Calendar Time Insights
Andrea demonstrated Gemini’s built-in Google Calendar Insights to analyze how time is spent in meetings versus focused work. It can reveal your total meeting hours per week, who you meet with most, and where duplication happens.
Example prompt:
“Show me how much time I spent in meetings this week compared to last week, and list my top collaborators.”
Use these insights to rebalance your schedule and identify meetings that could be skipped or delegated.
Tools to try this week
- Leonardo.ai: Free image and video generation perfect for ads, social media visuals, and concepting.
- OS CRM – Manage your client interactions through automations & AI Agents, with this specialty CRM. Consistent nurturing, outreach, lead sourcing to grow your business without adding more employees.
- Talkadot– For Speakers – Capture real-time feedback, collect testimonials, and turn engaged audience members into future clients.
Join the Conversation
Got a burning question, a fresh take, or just want to share your latest AI wins? Reply to this email or hit us up at info@aismartventures.com. Your insights keep this community growing and thriving!
Can’t wait to hear from you!
Cheers,
-Nicole Donnelly
Founder, AI Smart Ventures
