Most AI advisory work is built around the technology. We Optimize Work was built around the organization.
The gap between AI investment and AI return comes down to how organizations prepare employees at all levels to use AI as a collaborator, not just a tool for small tasks. Selecting the best AI model and providing technical training alone does not create the organizational infrastructure work most advisory firms are not built to deliver.
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This practice was founded by Domonique Townsend, an Industrial Engineer and Lean Six Sigma Master Black Belt with 17+ years of experience helping global and Fortune 500 organizations lead continuous improvement, organizational readiness design, and employee engagement transformations without relying on senior titles or formal authority. We Optimize Work® is an award-winning consulting firm composed of workflow optimization designers, organizational readiness experts, and managing partners who have been trusted as recognized as a Top Corporate Supplier for innovation and transformation work. Across industries, this group has delivered multimillion dollar improvements in productivity and performance by working directly inside the systems where execution actually succeeds or fails.
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Operating inside the gap between executive strategy and organizational reality, our proprietary frameworks and technology solutions were built from direct experience, the voice of the employee, and proven methodologies.
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Organizations realize the highest ROI from AI when it is treated as a multi-year capability development effort rather than a short-term technology upgrade. Partnering with us provides you with a diagnostic that identifies AI readiness gaps, quantifies the cost of inaction, and delivers a clear roadmap to turn AI into measurable ROI.
Diagnosis before prescription
Every engagement begins with the diagnostic. Not because it is a sales step, but because organizational readiness gaps that are not measured are almost always misidentified. We do not prescribe interventions without understanding the precise shape of the gap first.
Infrastructure over events
AI adoption that stalls usually stalls because it was designed as a launch event rather than an infrastructure build. This practice designs for the 90-day and 6-month horizon, not just the go-live date. Durable adoption requires durable organizational systems.
Measurement as accountability and ownership
Every engagement produces a baseline. Every baseline produces a reference point. The six-month re-diagnostic is not a check-in. It is the financial proof that what was built is working, in score movement, in dollar terms, and in executive presentable evidence.