What I solve

Start with the operating problem.

Scale That Works supports leaders when performance needs to move, complexity is increasing, growth is exposing operating strain, integration is creating drag, or technology opportunities need to become practical.

Assess an investment or operating model

Investors, operators, or transformation teams need to understand whether the operating model can support the thesis, growth plan, acquisition, integration, or transformation agenda before the next decision is made.

Diligence and operating model pressure testing
Service-level, fulfillment, network, and workflow review
Cost, complexity, constraint, and execution-risk diagnosis

Often shows up in: PE-backed platforms, integrations, healthcare services, back-office processing, BPO, banking operations, multi-site operations, and shared services.

Explore diligence and operating model assessment

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

Often shows up in: back-office processing, BPO, banking, claims, administrative operations, healthcare services, fulfillment, logistics, contact centers, and shared services.

Explore AI, automation and workflow leverage

Scale growth

The business is expanding, but roles, routines, reporting, accountability, and support models are not yet strong enough to support scale.

Scalable operating cadence and leadership routines
Workforce, capacity, and performance management models
Operating infrastructure for growth and repeatable execution

Often shows up in: growing platforms, multi-site operations, shared services, healthcare services, fulfillment, logistics, BPO, contact centers, and distributed operating teams.

Explore operating model and execution cadence

Clarify the support model

Work needs to be centralized, shared, distributed, automated, or kept close to the customer with clearer service expectations, handoffs, controls, and ownership.

Centralized and shared services model design
Field-to-center intake, handoffs, and escalation paths
Service expectations, quality controls, and governance routines

Often shows up in: shared services, centralized services, back-office processing, BPO, contact centers, healthcare services, banking, and administrative operations.

Explore centralized services and shared services design

Improve performance visibility

Costs are high, productivity is uneven, service is inconsistent, or execution is not improving fast enough, but the average is hiding where leaders should act first.

Operational diagnostic and opportunity sizing
Cost-to-serve, variation, and complexity review
Performance scorecards and operating reviews
90- and 180-day action planning

Often shows up in: fulfillment, logistics, distribution centers, contact centers, back-office processing, healthcare services, shared services, and BPO.

Explore cost-to-serve and performance visibility

Integrate operations

Teams, systems, acquired assets, or support functions need to be brought into a clearer operating model without losing what already works.

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

Often shows up in: PE-backed platforms, multi-site operators, healthcare services, shared services, BPO, logistics, distribution, and light manufacturing.

Explore post-acquisition operating integration

Strengthen quality controls and learning systems

Defects, near misses, rework, or quality issues are recurring, and leaders need a practical way to convert those patterns into stronger controls, escalation paths, and prevention routines.

Defect pattern and near-miss review
Control, system sequence, alert, escalation, and intervention path design
Post-event learning loop and retraining routines
Workflow, system requirement, and standard work recommendations

Often shows up in: healthcare services, banking operations, claims, administrative work, light manufacturing, fulfillment, contact centers, and regulated service environments.

Explore quality, defects and learning systems

Reduce variation

The organization has pockets of strong performance, but the methods are not codified, replicated, or managed consistently across locations, teams, markets, or business units.

Variation discovery and standard work design
Leadership routines, training, and scorecard alignment
Cross-location replication and sustainment plans

Often shows up in: multi-site operations, distributed field operations, healthcare services, light manufacturing networks, logistics and DC networks, contact centers, and PE-backed platforms.

Explore multi-site operations standardization