Enterprise AI productivity, SaaSEngagement one. Enterprise AI productivity measurement.
Starting state. An enterprise AI productivity company serving CFO and CIO buyers had strong activation metrics but no defensible measurement framework connecting AI usage to business outcomes. Customer success teams could see telemetry but could not translate it into intervention paths.
Intervention. Designed the customer-facing measurement playbook translating telemetry signals into specific intervention paths the customer success team could execute without consulting support. Built the metric architecture, defined input and output indicators, and constructed scenario libraries for adoption, proficiency, and workflow yield.
Measurable change. Customer success teams gained a repeatable playbook for converting telemetry into client intervention. The framework became the foundation for the company's thought leadership content and external positioning with CFO and CIO buyers.
Elapsed time. Three months.
What survived. The measurement framework remains in production at the company.
Marketing data and identity, enterprise SaaSEngagement two. Enterprise marketing data platform, product operations.
Starting state. The product organization had not produced an achievable 12-month roadmap in several years. Product managers were spending significant time gathering and synthesizing information rather than making decisions. Cross-functional alignment between product, sales, and development was inconsistent, and RFP responses were taking days because institutional knowledge was scattered across teams.
Intervention. As fractional product leadership, automated product management workflows by building live dashboards linked directly to Jira, authoring methodology documentation that standardized how the team operates, and creating roadmap prioritization frameworks that automatically identify missing information and request it from stakeholders before decisions are made. Deployed LLM-based systems that digest and synthesize information so product managers can apply judgment rather than spend cycles on information gathering. Built RFP response infrastructure that leverages accumulated institutional knowledge to respond to complex questions in minutes rather than days.
Measurable change. Produced the first achievable 12-month product roadmap in several years, with documented alignment across product, sales, and development. Product management cycle time reduced. Sales team RFP response time compressed from days to minutes. Development team enablement is the current focus.
Elapsed time. Six weeks to initial outcomes. Engagement ongoing.
What survived. Live Jira-linked dashboards, methodology documentation, roadmap prioritization frameworks, LLM-based information synthesis systems, and RFP response infrastructure all operating as the product organization's standard workflow.
AdTech measurement, medium enterpriseEngagement three. AdTech attribution measurement.
Starting state. Leadership had committed to a next-generation attribution platform and a compressed delivery window, but the work was fragmenting across product, engineering, sales, and customer success without a shared methodology or signoff discipline. The largest skeptical client was preparing to disengage.
Intervention. As fractional Head of Measurement Products, validated five core methodology changes, authored the documentation suite that became the standard communication protocol across sales, customer success, and product, and built custom GPTs that enabled the sales team to produce client-ready change analysis reports in minutes rather than days. Installed a six-gate signoff process governing rollout to pilot customers.
Measurable change. Converted the largest skeptical client, who had been preparing to disengage. Methodology documentation adopted as standard protocol across sales, customer success, and product. Sales team report production time compressed from days to minutes through the custom GPT infrastructure.
Elapsed time. Four months.
What survived. The methodology documentation, custom GPTs, and six-gate signoff process continued operating as the company's standard after the engagement ended.
Government affairs, Washington DCEngagement four. Government affairs earmark intelligence.
Starting state. The firm was identifying federal funding prospects manually, with senior staff spending 60 plus hours per month on appropriations analysis that produced inconsistent results and limited prospect volume.
Intervention. Built a framework that mines federal appropriations and congressionally directed spending data from multiple sources, runs prospects through a structured qualification sequence matching geography, sponsorship, committee, agency, theme, and funding amount, produces a fully qualified prospect list, and triggers automated outreach and appointment-setting workflows. The system runs end to end in approximately two hours.
Measurable change. 60 plus hours per month of senior staff time recovered. 150 plus qualified leads surfaced in a single month, with the system capable of producing hundreds monthly. 32 percent increase in sales calls and a double-digit increase in sales attributed to the framework.
Elapsed time. Six weeks.
What survived. The framework continues to run, identifying prospects and triggering outreach without ongoing operator involvement.
Commercial space and defense, pre-revenue deep techEngagement five. Commercial space go-to-market.
Starting state. A commercial Very Low Earth Orbit ISR startup had strong technology but no structured path into U.S. government buyers, no agency-specific messaging, and no qualified pipeline. SBIR funding eligibility was unconfirmed.
Intervention. Architected the U.S. government go-to-market strategy across the National Reconnaissance Office, Space Force, NASA, and the National Geospatial-Intelligence Agency. Mapped contract vehicles and decision-makers, built agency-specific messaging frameworks segmented by buyer type, and produced persona-specific email templates and meeting playbooks. Secured an Air Force Research Laboratory Letter of Support.
Measurable change. 140 to 310 million dollars in addressable annual contract value mapped across four agencies. SBIR Phase I eligibility unlocked through the AFRL Letter of Support.
Elapsed time. Five months.
What survived. The agency-specific messaging frameworks, contract vehicle map, and outreach playbooks continued as the company's internal go-to-market operating system.