Towards Designing for Resilience: Community-Centered Deployment of an AI Business Planning Tool in a Pittsburgh Small Business Center

Paper Title

Towards Designing for Resilience: Community-Centered Deployment of an AI Business Planning Tool in a Pittsburgh Small Business Center

Publication Info

• Topic area: Community-centered design and deployment of AI tools for small business planning.
• Keywords: Resilience, AI literacy, business planning, generative AI, community-centered design, small business, feminist makerspace, participatory design, entrepreneurship, collective capacity.

Background and Problem

• Problem / challenge: Entrepreneurs in resource-constrained communities face barriers in creating business plans due to limited digital literacy, lack of access to resources, and the complexity of translating ideas into formal business language. Existing AI tools often fail to address these challenges, assuming high technical fluency and neglecting community infrastructures.
• Significance: Business plans are critical for accessing capital, reflecting on goals, and strategizing growth. Addressing these barriers can democratize entrepreneurship and reduce disparities in AI adoption and outcomes.
• Motivation and related work: Prior work highlights the potential of generative AI for streamlining workflows but notes the "hidden curriculum" of operational skills required for effective use. Existing tools often exacerbate inequalities by favoring users with higher technical fluency. This paper builds on resilience and AI literacy frameworks to explore how community-centered approaches can address these gaps.

Solution

• Proposed approach: BizChat, an AI-powered business planning tool, designed and deployed through community-centered workshops at a feminist makerspace in Pittsburgh.
• Novelty:
  1. Operationalizing resilience and AI literacy through low-floor-high-ceiling design, just-in-time learning, and contextualized AI introduction.
  2. Embedding AI adoption within existing community infrastructures to support collective capacity building.
  3. Introducing design implications like productive friction, communal scaffolds, and co-optability for fostering resilience.
• Procedure and key techniques:
  • BizChat scaffolds business planning by guiding users through onboarding questions, offering voice-to-text and rich-text editing, and providing AI-generated suggestions.
  • Workshops framed business planning as a resilience practice, emphasizing iterative and reflective approaches.
  • Data collection included system logs, pre- and post-surveys, and semi-structured interviews with participants.

Results

• Concrete findings:
  • BizChat reduced the time to draft business plans from months to minutes, enabling quick access to "business language."
  • Participants leaned on AI-generated suggestions during onboarding, averaging 6.54 chat turns and 3.27 prompt clicks per user.
  • Limited post-onboarding edits (0.77 edits per user) suggest reliance on initial AI outputs.
• Advantage over baselines:
  • Unlike generic AI tools, BizChat provided structured guidance, reducing cognitive load and enabling users to articulate ideas more effectively.
  • Participants valued the tool’s ability to translate ideas into formal business language and its flexibility for editing outputs.
• Experiments / evaluation:
  • Workshops engaged 30 entrepreneurs, with 10 follow-up interviews conducted.
  • Participants spanned diverse industries, including jewelry design, consulting, and vocational training.
  • Log data and surveys complemented qualitative insights, though survey completion rates were low.
• Limitations and future work:
  • Lack of formal evaluation of business plan quality and long-term impact.
  • Small sample size and opt-in participation may introduce self-selection bias.
  • Future work should explore sustained community adoption, messenger credibility, and scalable deployment of open-source AI models.

Summary

This study introduced BizChat, an AI-powered business planning tool, to a feminist makerspace in Pittsburgh, focusing on resilience and AI literacy. The tool reduced barriers to creating business plans by translating ideas into formal language and enabling quick drafts, though it raised tensions between efficiency and reflective sensemaking. Participants leveraged peer networks to refine plans and build AI literacy, with some expressing interest in adapting the tool for their communities. The study highlights the importance of designing for productive friction, communal scaffolds, and co-optability to foster resilience and equitable AI adoption. While the findings are context-specific, they offer transferable insights for deploying AI tools in resource-constrained communities.