Case studies

What this looks like in practice.

Case study 01 Early-stage AI Startup

Building an AI-enabled operating system for a growing technology company.

Challenge

A lean, early-stage AI company preparing for commercialization while pursuing its first external funding, with information spread across documents, tools and founder knowledge.

Scope

Investor research and opportunity monitoring
Funding applications and knowledge management
Automated commercialization and CRM workflows
Accelerated funding outreach and outcomes

Outcomes

Faster, automated research and market intelligence
Greater founder capacity, no added headcount
Human decision-making supported, not replaced
Funding opportunities identified, meetings booked

~5 hrs/wk Reclaimed in the first week, with AI-driven automation helping generate key fundraising meetings.

Increased investor outreach
More qualified meetings booked
Outbound workflows automated

AI that creates capacity, without taking away agency.

Case study 02 Philanthropic organization · AI Level 1 Workshop

Building an AI strategy for a philanthropic organization.

Challenge

A philanthropic organization exploring how to introduce AI in a practical, adoptable way. The COO needed a clearer understanding of the tools, implementation layers and adoption barriers.

Scope

Discovery, needs assessment and a custom two-hour workshop
The AI landscape and practical use of Claude and Cowork
Implementation layers and IT considerations

Outcomes

Clearer understanding of where AI creates value
Practical use cases across the tools evaluated
Considerations mapped for adoption

AI Strategy Early AI strategy in place, from exploring AI to a documented adoption roadmap.

Discovery and needs assessment
AI solutions and use cases identified
Adoption roadmap defined

From exploring AI to a practical strategy for adoption.

Let's chat

MAVN NORTH

Know the market. Win the market.

Strategy · Growth · AI