SEARCH
Enter your search term below:
Close
Enter your search term below:
WORLD LEADING BUSINESS SUPPORT
More start-up founders are turning to AI tools, particularly language models and smart automation, to reduce friction and free up precious hours. But they’re doing so thoughtfully, combining experimentation with caution to stay productive without compromising quality or judgment.
Time-saving use cases emerging across the ecosystem
1. Speeding up early content creation
Founders are using generative AI to create first drafts of pitch decks, blog posts, investor updates or product descriptions. Instead of staring at a blank page, you can start with a structured output and refine from there, saving time without outsourcing your voice.
2. Handling investor and grant FAQs
For founders regularly answering similar questions from funders, AI can help consolidate common responses. Some are even creating AI-powered knowledge bases that answer queries based on key documents like business plans, grant applications or data rooms.
3. Summarising complex reports
Working in regulated sectors means navigating long policy docs, standards or clinical research. Founders in areas like digital health and advanced engineering are using AI to summarise white papers, identify key risks or compare frameworks, a task that might otherwise take hours.
4. Light-touch admin automation
Natural language models can support inbox triage, meeting summaries, action item extraction and lightweight customer support. While human review is still key, these tools help clear the clutter and keep things moving.
5. Drafting technical documentation and funding bids
Some founders are using AI to help shape draft responses for Innovate UK bids, technical manuals or internal reports, particularly when working under pressure or with lean teams.
Tools being used and how
While the most well-known tools include generalist large language models like ChatGPT or Claude, some founders are exploring integrations with sector-specific AI tools (e.g. regulatory copilots, grant writing assistants or internal search bots trained on company data).
The most productive use often comes from combining multiple tools. For example, using a note-taking app that plugs into an AI summariser or linking an AI model to a secure knowledge base for context-aware replies.
Proceed with caution
As with any emerging technology, responsible use matters. Founders are advised to remain mindful of:
Early best practices
Sector-specific examples
Used wisely, AI can be a genuine productivity partner for early-stage teams, helping you stay focused on vision, product and traction. But like any tool, it requires discernment. It should support, not replace, human insight, judgement and creativity. Overreliance can slow learning, dilute messaging or lead to blind spots. Think of AI as an accelerator, not a crutch.
This article is for general information only and does not constitute legal, commercial or technical advice. Always consult a professional adviser for your specific circumstances.
Get all the fresh insights first! Stay up-to-date with all the
latest investment news, blogs and all things SETsquared.
Close
Close