Your needs

Start with the operating problem.

Scale That Works supports leaders when AI and automation opportunities need to become practical, performance needs to move, complexity is increasing, manual work is creating drag, or execution is not matching the strategy.

Find automation leverage

The organization is interested in AI, automation, workflow redesign, or process simplification, but needs a practical way to identify where technology can reduce manual work, improve speed, create capacity, and strengthen the operating model.

AI, automation, and workflow opportunity assessment
Manual workflow, duplicate data entry, and exception queue review
Business process automation, RPA, rules-based decisioning, and AI-enabled workflow support candidate identification
Labor model, capacity, control, and patient or customer experience impact assessment

Improve performance

Costs are high, productivity is uneven, service is inconsistent, or execution is not improving fast enough.

Operational diagnostic and opportunity sizing
Performance scorecards and operating reviews
90- and 180-day action planning

Reduce variation

The organization has pockets of strong performance, but the methods are not codified, replicated, or managed consistently.

Best-practice discovery and translation
Standard work and leadership routines
Cross-location replication plans

Integrate operations

Teams, systems, acquired assets, or support functions need to be brought into a clearer operating model.

Current-state assessment
Centralized, shared services, distributed work, and field role clarity
Governance, decision rights, quality controls, regulatory requirements, and transition plans

Scale growth

The business is expanding, but the routines, reporting, accountability, and workforce model are not yet strong enough to support scale.

Scalable management cadence
Workforce and capacity planning models
Operating infrastructure for growth

Where I help

Focused support for complex operating environments.

The work is most valuable in businesses where service delivery, workforce execution, process discipline, and leadership routines directly determine performance.

Healthcare services

Operating models, access, service delivery, centralized support, shared services, distributed work, and field execution.

Pharmacy and fulfillment operations

High-volume operations, automation, productivity, quality, workforce, and regulatory execution.

Multi-site field operations

Standard work, leadership cadence, operating reviews, and performance replication across locations.

Contact centers and patient access

Service performance, workforce management, quality routines, and central reporting.

PE-backed platform operations

Integration, turnaround planning, operating discipline, and readiness for the next stage of growth.

Centralized, distributed & shared services models

Identifying where work should be centralized, distributed, or shared, then building the operating infrastructure, governance, role clarity, quality controls, regulatory discipline, metrics, and cost containment needed to scale.

AI, automation and workflow leverage

Identifying where work is already digital but still manual, where repetitive decisions can be rules-based, and where valuable people can move toward higher-value judgment, service, and exception work.