Answers in Slack, docs, and people's heads. Crafty documented it first; agents now handle 60%+ of questions and free 730 engineer hours.
A tech-enabled national provider of office food and beverage programs, with teams spanning client experience, IT, partner network, equipment, and manager support.
As the company scaled, operational knowledge fragmented across Slack, documents, spreadsheets, and individual employees. Building integrated agents...
“Notion helped us lower the barrier to entry while staying organized. It gave us one place to keep the source material, track the work, manage agent setup, and review what agents do.”
Tech-enabled pantry and kitchen management platform for workplaces.
A new tool that blends your everyday work apps into one. It's the all-in-one workspace for you and your team.
Crafty's Internal knowledge automation is part of this use case:
Related implementations across industries and use cases
Scattered systems left a long tail of manual actions untouched. AI agents now operate UIs directly to run workflows, escalating exceptions.
Teams hunted for context across Slack and Jira. By integrating 20+ tools, AI now queries 7 years of history, saving 9 hours weekly.
One AE held the team's institutional knowledge—90% of his day in Slack. A digital double in his voice freed him to sell.
200 daily IT queries from live depositions bottlenecked support. An AI agent now answers routine questions, freeing humans for emergencies.
Onboarding across four platforms required weeks of shadowing. Now, an AI assistant instantly answers Slack queries so new hires self-serve.
Recruiters juggled disconnected systems while managers fielded candidate calls from the back office. An AI now screens and engages 24/7.
Workflows collapsed when staff changed roles. A meta-agent now turns plain-language descriptions into live agents—no AI team needed.
With 99% of records missing metadata, teams sifted unlabeled databases. Now, AI generates column descriptions for data experts to verify.
Manual document summaries bottlenecked experienced staff. Now, AI drafts preliminary risk assessments, freeing teams for complex advisory.
Answers in Slack, docs, and people's heads. Crafty documented it first; agents now handle 60%+ of questions and free 730 engineer hours.
A tech-enabled national provider of office food and beverage programs, with teams spanning client experience, IT, partner network, equipment, and manager support.
As the company scaled, operational knowledge fragmented across Slack, documents, spreadsheets, and individual employees. Building integrated agents...
“Notion helped us lower the barrier to entry while staying organized. It gave us one place to keep the source material, track the work, manage agent setup, and review what agents do.”
Tech-enabled pantry and kitchen management platform for workplaces.
A new tool that blends your everyday work apps into one. It's the all-in-one workspace for you and your team.
Crafty's Internal knowledge automation is part of this use case:
Related implementations across industries and use cases
Scattered systems left a long tail of manual actions untouched. AI agents now operate UIs directly to run workflows, escalating exceptions.
Teams hunted for context across Slack and Jira. By integrating 20+ tools, AI now queries 7 years of history, saving 9 hours weekly.
One AE held the team's institutional knowledge—90% of his day in Slack. A digital double in his voice freed him to sell.
200 daily IT queries from live depositions bottlenecked support. An AI agent now answers routine questions, freeing humans for emergencies.
Onboarding across four platforms required weeks of shadowing. Now, an AI assistant instantly answers Slack queries so new hires self-serve.
Recruiters juggled disconnected systems while managers fielded candidate calls from the back office. An AI now screens and engages 24/7.
Workflows collapsed when staff changed roles. A meta-agent now turns plain-language descriptions into live agents—no AI team needed.
With 99% of records missing metadata, teams sifted unlabeled databases. Now, AI generates column descriptions for data experts to verify.
Manual document summaries bottlenecked experienced staff. Now, AI drafts preliminary risk assessments, freeing teams for complex advisory.