Our story
Everyday AI Playbook brings operations, analytics, privacy-aware AI, automation, and practical communication into one business—so clients receive one coordinated path from a messy workflow to a tested improvement.
Why EAP exists
Teams often keep important work moving through memory, repeated follow-up, scattered files, and workarounds that only a few people understand. EAP exists to make one recurring workflow visible, easier to run, and safer to improve before a business commits to a larger build.
One business, complementary strengths
Rick and Sharon built EAP around a simple belief: useful technology starts with understanding how people actually work. Their different backgrounds help EAP examine the workflow from both sides—the people, responsibilities, and communication that keep it moving, and the data, tools, and testing that make it easier to run.
Clients do not have to coordinate two separate practices. EAP brings the pieces together in one scope, one delivery relationship, and one practical plan.
The backgrounds behind the work
Operations, systems, and practical communication
Rick brings experience in education leadership, operations, systems, and public storytelling. He helps teams clarify how work should move, where ownership belongs, and how to explain a change so people can use it.
Analytics, privacy-aware AI, and tested implementation
Sharon brings experience in business analytics, privacy-aware AI, automation, and system design. She turns scattered information into clear decisions and builds practical systems with documented privacy rules and tests.
Relevant investigation experience
In 2025, Sharon Grant conducted an attendance data investigation for Neighborhood House Charter School. She provided an initial assessment, reviewed integration and reporting evidence, shared status updates, and proposed record comparisons and vendor escalation.
The method behind the name
The Everyday AI Playbook introduced the practical framework that now guides EAP engagements. The same five lenses help EAP understand a workflow, build the right improvement, and make the result useful to the people who run it.
Make the work, ownership, information, and next steps clear.
Reduce routine follow-up and repeat entry where it is safe to do so.
Fix the specific breakdown causing delay, confusion, or rework.
Use reliable evidence before deciding what to change, buy, or build.
Use the organization's own data to understand patterns and improve decisions.
Start with one real process
For the first service candidate, EAP focuses on one supplier-document-to-quote process: source inputs, pricing workbook, exceptions, customer output, approvals, and handover.