Follow Derek Johnson through the biggest deal in his pipeline. When a critical signal threatens a $320K opportunity, see how Strategy Lab turns disruption into strategy and uncertainty into a win.
7:22 AM. Derek opens PILLAR. A critical signal is waiting: Dr. Angela Torres, the Chief Academic Officer at Chicago Public Schools and the decision maker on his $320K Elevate Science deal, has departed the district. The committee review is 23 days away. The person who chairs it just left.
Derek clicks into Chicago Public Schools. The full picture loads: the existing Math relationship, the Science opportunity now flagged at risk, key contacts with Dr. Torres marked as departed, and the Strategy Lab ready to help him navigate the transition.
Derek hits "Analyze Deal." In seconds, Claude processes the executive departure, maps the remaining stakeholder network, assesses the deal timeline risk, and delivers a complete recovery strategy - including who the likely interim decision maker is and how to reach them.
Derek needs to meet with James Park immediately to understand the transition and align on next steps. He generates a meeting prep brief focused on navigating the leadership change, protecting the deal timeline, and arming his champion with the right materials for the incoming CAO.
After the call, Derek needs to send James the executive briefing materials and a note he can forward to the incoming leader. Claude drafts an email that threads the needle - supportive of the transition, not salesy, and designed to make James look good internally.
Three signals exist for Chicago Public Schools. One threatens the deal. Two protect it. Strategy Lab synthesizes them into a single intelligence narrative - giving Derek the full picture of what's at risk, what's stable, and exactly where to focus.
Derek checks his pipeline. No fanfare. No victory screen. Just the quiet proof that preparation met the moment.
Strategy Lab turns your CRM data, stakeholder signals, and account intelligence into real-time coaching for every deal, every disruption, and every email. This is what AI-native selling looks like.