Trevor Frank Consulting helps organizations replace fragmented work with connected systems for execution. We design Notion operating environments, redesign high-friction workflows, and build practical AI-enabled processes that help teams work with more structure, visibility, and confidence.
Most organizations do not lack effort. They lack a working environment that connects priorities, information, handoffs, and decisions.
Trevor Frank Consulting helps turn that friction into a practical transformation plan.
Before: Fragmented work
We design connected Notion environments that support knowledge, projects, requests, operating routines, and executive visibility. The result is not a page library. It is a workspace that reflects how work should run.
We identify where AI can participate in real workflows, redesign the process structure, and implement practical AI-supported or agent-enabled operating patterns with human oversight where it matters.
We clarify work stages, decision points, handoffs, accountability, and data structure before automating anything. That creates a system the team can maintain and expand.
The strongest transformation work starts with a specific entry point. These offers are designed to help leaders move from operational frustration to a defined next step.
A focused diagnostic that identifies workflow friction, AI opportunities, and the best first initiative.
A structured design engagement for organizations that want Notion to function as a dependable operating environment.
A focused sprint to redesign and deploy one workflow where AI can assist, classify, summarize, or drive structured next steps.
Understand how work actually moves today — workflows, friction points, tools, and AI candidate areas.
Define the future-state workspace, data model, workflow stages, and human / AI boundaries.
Configure the Notion environment — dashboards, templates, automations, and AI workflow elements.
Prepare the team with role-based training, governance guidance, and launch support.
Improve based on real usage, measured friction, AI expansion candidates, and new operating needs.
A modern workspace should make priorities visible, handoffs clearer, knowledge easier to use, and AI more practical to deploy.
Every engagement is different, but the operating problems that drive them tend to be familiar.
Replace email and ad hoc messages with a consistent intake, triage, assignment, and status model.
Connect discussions, decisions, owners, due dates, and follow-up in one operating view.
Unify SOPs, dashboards, initiatives, projects, and team knowledge in a structure that supports day-to-day work.
Choose one recurring business process and redesign it so AI can contribute with context, constraints, and review points.
Make recurring work, review cycles, decisions, and responsibilities visible enough to delegate and scale.
Track client work, obligations, milestones, risks, and internal coordination in one place.
Years in enterprise software & SaaS services leadership
Services P&L ownership across multiple organizations
Delivery frameworks and cross-functional operating models
Multi-team, complex operating environments
Trevor brings more than 20 years of experience leading Professional Services, Delivery, PMO, and Partner Success organizations in enterprise software and SaaS environments. He has owned services P&Ls, built delivery frameworks, designed packaged service models, led cross-functional operating improvements, and helped teams adopt data- and AI-informed ways of working.
That background shapes the consulting approach. The work is not about building attractive workspaces in isolation. It is about understanding how organizations actually operate, locating the friction, and implementing systems that support reliable execution.
Build the operating structures that prevent process sprawl as the business scales.
Improve requests, approvals, handoffs, reporting, and cross-functional work.
Create clearer execution systems for client work, internal coordination, and management visibility.
Translate AI interest into one practical, governed workflow that can be tested and improved.
Most Notion implementations stall because the software gets designed before the operating model does. Here is how to get it right.
Coming soonBefore introducing AI to a business process, you need to be able to draw that process on a whiteboard. Most teams discover they cannot.
Coming soonTrackers manage tasks. Operating systems manage execution. If your team keeps rebuilding the same spreadsheet, that is the signal.
Coming soonA discovery call is the simplest way to determine whether the right first step is a workflow assessment, a Notion operating system blueprint, or an AI workflow execution sprint.