To overcome the challenge of reaching thousands of employees, Atlassian built a Slack bot that sends targeted group DMs instead of posting in noisy public channels. This high-signal approach feels more personal and significantly increased engagement for training announcements and user feedback surveys on new AI tools.
To drive adoption for an internal tool, identify the teams most frustrated with the existing solution by scraping support channels. Then, schedule small, bespoke tech talks directly for those teams. This targeted approach generates highly engaged and grateful early adopters.
Mandating AI usage can backfire by creating a threat. A better approach is to create "safe spaces" for exploration. Atlassian runs "AI builders weeks," blocking off synchronous time for cross-functional teams to tinker together. The celebrated outcome is learning, not a finished product, which removes pressure and encourages genuine experimentation.
An internal chatbot's usage increased sevenfold when moved from a public channel to a private interface. This highlights a key psychological driver for AI adoption: users are more likely to engage when they can ask basic questions without fear of social judgment.
Remote and global teams suffer from a loss of context. An "AI Buddy" can solve this by delivering personalized, timely information about what relevant colleagues are doing. This automated, customized "newsletter" keeps everyone in the loop without them having to read everything, increasing social awareness.
To overcome employee time constraints, Pendo implemented both scheduled, interactive workshops to create dedicated learning time and a Slack channel for asynchronous, "many-to-many" sharing. This dual approach ensures both focused learning and continuous, organic knowledge exchange across the organization.
Overwhelmed by Slack messages and internal documents? Build a Zapier agent connected to your company's knowledge base. Feed it your job description and current projects, and the agent can proactively scan all communications and deliver a weekly summary of only the updates relevant to your specific role.
To win over skeptical team members, high-level mandates are ineffective. Instead, demonstrate AI's value by building a tool that solves a personal, tedious part of their job, such as automating a weekly report they despise. This tangible, personal benefit is the fastest path to adoption.
To gain organizational buy-in for AI, start by asking teams to document their most draining, repetitive daily tasks. Building agents to eliminate these specific pain points creates immediate value, generates enthusiasm, and builds internal champions for broader strategic initiatives, making it an approachable path to adoption.
DM automation isn't just for sending users to a sales page or blog. It can be used for engagement-focused activities like running polls, interacting with your audience in unique ways, or simply serving them better. This makes it a valuable tool even for creators who don't rely on driving off-platform traffic.
Atlassian's AI onboarding agent, Nora, answers new hires' logistical questions, reducing their reluctance to bother managers. More strategically, this initial, low-stakes interaction serves as an effective on-ramp, conditioning employees from day one to view AI as a standard collaborative tool for their core work.