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CASE STUDIES
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2025
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Multiverse
From Manual Handovers to Scalable Automations at a Series D Startup


AI-Powered Operational Automation for a Series D EdTech Company
Multiverse needed to reduce manual learner handovers and improve operational efficiency across teams as the business scaled. I designed and deployed AI-powered workflows that automated complex handover processes, reclaimed 533 hours per quarter, and established a scalable system now used across the coaching department.
Manual Processes Limiting Operational Scale
Learner handovers at Multiverse were handled through fragmented, manual workflows that didn’t scale with the pace of growth. This resulted in unnecessary time spend, inconsistent handover quality, and growing operational overhead.
How can we use AI to reduce manual learner handovers while maintaining quality and consistency at scale?
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SOLUTIONS
Embedding AI as an Operating Capability
This engagement moved AI at Multiverse from experimentation into day-to-day operations. By combining workflow automation, AI agents, and practical enablement across teams, AI became a reliable part of how work gets done, not a side project.
The result was measurable efficiency gains, reduced operational complexity, and a foundation that allows teams to scale without increasing headcount. Just as importantly, non-technical teams were equipped to understand, trust, and adopt AI-powered workflows with confidence.
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RESULTS
Clear Value. Real Adoption. Lasting Impact.
Demonstrable results created trust in the approach, allowing Multiverse to move beyond pilots and commit to AI-driven workflows as part of ongoing operations.
2100+
Hrs Saved Annually
£100k+
Savings Annually
600%+
ROI in first year
This was an extremely valuable piece of work. The learner handover assistant solved a complex operational problem and was delivered faster than expected. It’s now being adopted as the standard handover process across the coaching function at Multiverse.

Barry Whyte
Director of Applied AI







