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Turn abstract cultural values into actionable, automated prompts. Laurel's Company OS analyzes customer data (e.g., from Gong) to suggest personalized acts of "unreasonable hospitality," ensuring core values are practiced consistently by everyone, not just the most thoughtful employees.
Go beyond stated values by using AI tools like Granola to analyze meeting transcripts in aggregate. This generates an "unspoken culture handbook" that reflects how your team actually operates, revealing gaps between stated and practiced values and providing a data-driven basis for hiring rubrics.
Hospitality isn't an innate trait. A hotel manager's story illustrates that you can design systems that prompt hospitable actions. This creates a positive feedback loop, as employees witness customer gratitude and become addicted to creating that feeling.
Go beyond viewing prompts as mere instructions. The detailed system prompts your team develops to automate work constitute a new form of valuable IP. A well-developed library of internal prompts can increase a company's acquisition value, as it represents a codified, efficient operating system.
Implementing structured hospitality systems, like a process for late check-ins, does more than ensure consistency. It lets employees witness guests' profound appreciation, addicting them to that positive feeling and inspiring them to find new, creative ways to be gracious on their own.
Many employees have great ideas for customer gestures but lack the time or resources to act. A 'Dreamweaver' is a dedicated resource whose sole job is to help the team bring these ideas to life, systematically increasing the frequency of hospitable acts.
Employee feedback is often a mix of nuance, emotion, and contradiction—"culture noise." An AI system analyzes this noise to find specific, contextual signals. It transforms a generic metric like "low trust" into a specific insight like "trust broke after a restructuring," making the problem solvable.
Zapier built an AI coach that analyzes meeting transcripts to provide feedback based on company values and frameworks. This automates cultural reinforcement, normalizes constructive criticism, and ensures leaders consistently model desired behaviors, scaling what is typically a manual process.
Go beyond one-off "magic" moments by identifying events that happen regularly (e.g., engagements, flight delays). By creating a standardized, yet exceptional, playbook for these recurring touchpoints, you can scale hospitality without losing its personal touch.
Generic AI app generation is a commodity. To create valuable, production-ready apps, AI models need deep context. This "Brand OS" combines a company's design system (visual identity) and CMS content (brand voice). Providing this unique context is the key to generating applications that are instantly on-brand.
By creating an AI 'skill' that synthesizes key company documents like product principles, value propositions, and frameworks, a product team can ensure that all generated outputs (e.g., PRDs) consistently reflect the company's specific language, strategic thinking, and established culture.