For PMs in restrictive companies, the best way to get budget for AI tools is to show, not tell. Use free or personal plans to demonstrate a clear productivity gain or solve a specific problem. Frame the request around accelerating business impact, not just acquiring new software.
Related Insights
When lobbying for a new tool like telemetry, don't just ask for the tool. Frame its absence as a direct blocker to your core responsibilities. By stating, "I can't make decisions without this data," you tie the budget request to clear business outcomes and personal accountability.
Generic use cases fail to persuade leadership. To get genuine AI investment, build a custom tool that solves a specific, tangible pain point for an executive. An example is an 'AI board member' trained on past feedback to critique board decks before a meeting, making the value undeniable.
With hundreds of AI vendors pitching enterprises weekly, trust is low and differentiation is difficult. The most effective go-to-market strategy is to prove the technology works before asking for payment. Offering a free "solution sprint" for several weeks de-risks the decision for the customer and demonstrates confidence.
Don't start by asking for a budget or hiring an AI expert. The critical first step for any CRO or CMO is to roll up their sleeves, pick one tool, and personally manage the 30-day training and deployment process. This builds essential, foundational knowledge.
If your company lacks access to modern AI tools, don't see it as a blocker; view it as a leadership opportunity. Create a concise 'one-sheeter' outlining specific use cases, estimated hours saved, and productivity gains. Presenting a clear business case can turn hesitant leadership into champions for modernization.
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.
When introducing AI to a skeptical executive, a detailed, multi-week rollout plan can be overwhelming and trigger resistance. A more effective approach is to showcase one specific AI capability within an existing tool to solve a tangible problem. This "dip your toe in the water" approach builds comfort and demonstrates immediate value.
Creating products customers love is only half the battle. Product leaders must also demonstrate and clearly communicate the product's business impact. This ability to speak to financial outcomes is crucial for getting project approval and necessary budget.
When leadership demands ROI proof before an AI pilot has run, create a simple but compelling business case. Benchmark the exact time and money spent on a current workflow, then present a projected model of the savings after integrating specific AI tools. This tangible forecast makes it easier to secure approval.
When leadership pays lip service to AI without committing resources, the root cause is a lack of understanding. Overcome this by empowering a small team to achieve a specific, measurable win (e.g., "we saved 150 hours and generated $1M in new revenue") and presenting it as a concise case study to prove value.
