Second Shift Labs helps owners understand what is happening across their visibility, processes, data, and systems before they invest in another tool, hire, or transformation project.
My work spans 9-figure privately held companies, family-run businesses, and Fortune 500 companies across healthcare, manufacturing, home services, professional services, financial services, and government: documenting operations, redesigning processes, evaluating and selecting systems, architecting integrations and automation, and designing, building, and leading the implementation.
I have worked inside other people's workplaces to get the work done, and developed a practical approach from it: understand the pain points and current operation, verify the problem, quantify the effect, and sequence changes around the team's actual capacity.
There are two ways to start. The free report applies this approach to AI visibility. The free discovery call is for owners who want to discuss a pain point, time leak, current technology, or interest in automation and AI. Neither path obligates the business to proceed.
Built automation and RPA strategies that removed manual work, standardized data for reporting, and designed AI-enabled workflows, recommended only where they fit the problem.
Founder-operator of a revenue-generating e-commerce business since 2018, owning sourcing, pricing, fulfillment, and customer experience end to end, with AI-assisted workflows running daily. The advice comes from the same seat you sit in.
Architected solutions end to end: system evaluation and selection (ERP, CRM, ServiceNow), API integration, cloud migration, and data standardization, then designed, built, and led the implementation rather than handing off a recommendation.
Led multi-million-dollar transformation programs for Fortune 500 companies, public-sector organizations, and privately held businesses, including Microsoft, Walmart, and the City of Atlanta, across healthcare, manufacturing, financial services, retail, and government.
The report is a starting point, not a forced sales step. When the findings are useful on their own, you can use them. When they expose a larger operational issue, we can define the next step together.
During an assessment, we examine the current process, data, systems, ownership, and constraints. Recommendations are designed to use what already works before adding new technology.
The outcome is a written 7/30/60/90-day Operational and AI Readiness Roadmap: immediate fixes, sequenced priorities, implementation considerations, and a longer-term path tied to the business problem, not to a preferred software product.
Both are free. Neither obligates you to proceed.