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.
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Don't expect your organization to adopt a new strategy uniformly. Apply the 'Crossing the Chasm' model internally: identify early adopters to champion the change, then methodically win over the early majority and laggards. This manages expectations and improves strategic alignment across the company.
For internal tools, don't rely solely on product-led growth. A hybrid approach combines a frictionless product experience with a proactive "sales" strategy of advocating for the tool's potential, constantly proving its value to leadership, and removing friction for users.
To overcome employee fear of AI, don't provide a general-purpose tool. Instead, identify the tasks your team dislikes most—like writing performance reviews—and demonstrate a specific AI workflow to solve that pain point. This approach frames AI as a helpful assistant rather than a replacement.
When employees are 'too busy' to learn AI, don't just schedule more training. Instead, identify their most time-consuming task and build a specific AI tool (like a custom GPT) to solve it. This proves AI's value by giving them back time, creating the bandwidth and motivation needed for deeper learning.
Directly approaching large organizations is often ineffective. Instead, emulate Slack's growth model by getting individual employees to use and love the product. This creates internal champions who advocate for wider organizational adoption, pulling the product in rather than pushing it from the outside.
When rolling out the Odin platform at Uber, the team intentionally avoided a big-bang launch. They started with their own systems, then expanded to friendly teams, using an incremental approach to build momentum and prove value before approaching more resistant groups.
Webflow drove weekly Cursor adoption from 0% to 30% in its design team after one 'builder day' where every participant was required to demo a project. This combination of hands-on practice, peer support from champions, and clear expectations creates rapid, tangible adoption of new AI tools.
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.
Instead of approaching leaders first, engage end-users to gather 'ammunition' about their daily pains. They may not have buying power, but their firsthand accounts create a powerful internal case (groundswell) that you can then present to management, making the approach much warmer and more relevant.
