Welcome back to Search With Sean — another Chat With Sean, and this one’s a proper demo. I’m joined by Mohamed Yousuf, founder and CEO of Smart Workforce AI, who’s spent 15+ years in workforce planning and operational strategy across complex industries like aviation, rail and healthcare. Mo shares his screen and walks us through the AI platform he’s built to help large organisations make smarter operational decisions.

If you’ve ever stood in a shop watching four people do the work of one — or seen a hospital understaffed one day and overstaffed the next — this is the problem Mo’s going after. We get into how the system forecasts demand by the hour (not the month), designs the shifts, builds the rosters, and keeps the whole thing live with agentic workflows running in the background. Mo’s line stuck with me: he wants AI that’s “human in command, not just in the loop.”

What I liked most is that it isn’t just a cost-cutting tool for the company. Mo’s Marketplace feature hands staff real control over their lives — swap, drop and pick up shifts within the rules, without begging a manager every time — which is where burnout, retention and morale actually get fixed. We also get into the stuff everyone worries about: data privacy (single-tenant, your own small language model, nothing leaves, nothing trains anyone else’s AI), surveillance vs lifestyle benefit, and geofenced clock-in. And right at the end, Mo tells us what he’s building it all with — including Claude and Fable.

Mohamed discusses:

- Why he split the product into Smart Workforce AI (SMBs) and a deeper platform for 5,000+ employee enterprises

- Forecasting demand by the hour, not the month — and why that matters for rail, aviation and hospitals

- “Human in command, not just in the loop” — his take on agentic AI

- The algorithm library + knowledge library: different roles, different equations

- Marketplace: letting staff swap, drop and pick up shifts to control their own lives

- Overtime, burnout and why nurses leave — and how better forecasting helps

- Data privacy: single-tenant, your own SLM, nothing leaves the tenancy

- Surveillance vs lifestyle: the system learning your shift preferences

- Geofenced clock-in/out and break management

- Which industries fit best — aviation, rail, healthcare, events and stadiums

- The scenario studio: “what if we add five routes?” answered in real time

- What he builds the platform with — Claude, Fable and where the tooling’s going

Topics covered include:

- Agentic AI & workforce automation

- AI forecasting, scheduling & rostering

- The future of work & staff wellbeing

- AI data privacy & single-tenant models

- AI in aviation, rail, healthcare & events

Got an innovative idea around search, AI or digital marketing? I'm always open to showcasing it on the channel — get in touch.

🔗 Connect with Mohamed / the platforms:

Smart Workforce AI (SMBs & smaller enterprise): https://smartworkforce.io

Maia Intelligence (large / critical industries): https://maiaintelligence.io

LinkedIn: https://www.linkedin.com/in/mohamed-a-yousuf/