Case Study · Design Core Detroit

Helping Design Core Detroit Scale Month of Design with AI

Think Technologies helped Design Core Detroit turn scattered event operations, partner communication, member data, and institutional knowledge into a clearer AI-powered workflow strategy.

Month of Design AI Workflow Strategy

From manual coordination to AI-assisted operations.

Internal AI assistance, public-facing guidance, submission workflow strategy, matchmaking intelligence, and a long-term AI roadmap for creative ecosystem growth.

The Challenge

Creative ecosystems create a lot of moving parts.

Programs, submissions, partners, resources, members, and institutional knowledge all need to stay connected.

Design Core Detroit supports a large creative ecosystem through programs, events, member engagement, and the annual Detroit Month of Design. As the organization scaled, important information lived across disconnected tools, documents, staff knowledge, open call submissions, partner conversations, and member records.

This made it harder for staff to quickly answer questions, route creatives to the right opportunities, organize submissions, and maintain consistent communication across programs.

What We Designed

An AI workflow strategy built around real operations.

We focused on practical systems that help staff, partners, members, and creatives find the right information faster.

01

Internal AI Assistant

A private assistant for staff to access program details, member profiles, event information, resources, and institutional knowledge.

02

Public-Facing Assistant

A member and creative community guide that helps people find the right programs, opportunities, resources, and next steps.

03

Submission Workflow Strategy

An AI-supported approach to organizing open call information, reducing manual review work, and improving program coordination.

04

Matchmaking Engine

A concept for connecting designers, vendors, mentors, partners, spaces, programs, and opportunities across the creative ecosystem.

Our Process

From workflow mapping to a practical AI roadmap.

We helped translate operational complexity into systems the team could understand, prioritize, and build toward.

1

Mapped the current workflow

We identified where information lived, where manual work slowed the team down, and where AI could support staff without disrupting existing operations.

2

Designed AI use cases around real needs

We prioritized internal knowledge access, public guidance, submission support, partner communication, and creative ecosystem matchmaking.

3

Created a roadmap for scale

We outlined a long-term AI strategy for automation, data organization, member engagement, program intelligence, and future Month of Design growth.

The Impact

More clarity, consistency, and capacity.

The work gave Design Core Detroit a clearer path to scale operations without relying only on manual coordination or individual staff knowledge.

Faster Responses Staff can respond to partner, member, and creative community questions with clearer access to the right information.
Less Knowledge Dependency Institutional knowledge becomes easier to access instead of living only with individual team members.
Better Program Visibility Programs, resources, members, opportunities, and workflows become easier to connect across the organization.

AI is not just about automation. It is about helping teams access knowledge faster, communicate more consistently, and connect people to the right opportunities.

Work With Think Technologies

Have scattered workflows, documents, or customer questions?

Think Technologies helps organizations design and build AI assistants, workflow automations, internal knowledge systems, and practical AI roadmaps that create measurable operational value.

Next
Next

Xclusive Seats Platform Case Study | Think Technologies