Smarter AI for Smaller Teams: Scaling Automation Without Breaking the Bank
summary
Claims a £245,000 UKRI grant and KTP with University of Glasgow funds a one‑person build that cuts a quoted £50–100k data‑lake cost to ~£300 using AWS credits, remote devs and open source, automates thousands of manual hours saving ~£62,400/year on one process, and stitches GPT‑4/RAG/Azure AI into pipelines that are trialed, not vaporware. Practical steps include proof‑of‑concept first, hunting cloud credits and grants, hiring remote contractors, and calculating real ROI before scaling.
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chapters (10)
- 0:00Introduction
- 3:56Digital transformation project
- 7:45Why 2025 for AI automation
- 12:21Funding automation grants
- 16:36Remote talent and cloud credits
- 19:49LLM impact and outcomes
- 22:44Risks and mitigation
- 25:15Top five scaling tips
- 27:03Choosing partners and networking
- 28:31Summary and Q&A
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