How the work
actually went.
Selected engagements that illustrate how decisions were made, what tradeoffs were weighed, and what the work actually delivered.
Outcome
Higher fill rates with lower overpayment in competitive markets. More consistent pricing decisions across regions, and stronger trust on both sides of the marketplace — without removing human oversight.
18%
Labor Cost Reduction
across 7,800+ shifts
50%
Faster Fill Times
shift-to-fill speed
~$488K
Projected Annual Savings
at a single facility
Challenge
Pricing was manual and static. Some markets overpaid for shifts while others went unfilled. The team had no consistent way to set rates across regions, and the imbalance was costing money on both sides.
Decision
Build an AI-assisted pricing system that recommends rates in real time — optimizing for fill speed, cost, and clinician quality while keeping humans in control of final decisions.
Tradeoffs Considered
How much to automate versus where to preserve manual judgment. Whether to optimize for cost or fill speed. How aggressively to shift from static pricing without breaking marketplace trust.
Outcome
Revenue no longer dependent solely on active engagements. The firm expanded its reach beyond traditional consulting capacity and created a repeatable system for strategy, execution, and ongoing support.
3×
Client Reach
beyond traditional capacity
Recurring
Revenue Model
platform-based value
Scalable
Delivery
repeatable workflows
Challenge
The firm's revenue was tied entirely to active, 1:1 engagements. There was no way to serve clients between projects or scale advisory work beyond the team's direct capacity.
Decision
Design a platform that packages high-value consulting workflows into repeatable, lower-touch services — without sacrificing the strategic depth clients expect.
Tradeoffs Considered
How much customization to preserve versus how much to standardize for scale. Whether to prioritize short-term engagement revenue or invest in recurring, platform-based value.
Outcome
Document creation dropped from approximately 12 hours to 15 minutes per document. Output quality remained consistent across teams — and the efficiency gains translated directly to the bottom line.
12 hrs → 15 min
Time per Document
per custom document
~$1.2M
Annual Savings
in labor costs
Challenge
Teams were producing high volumes of custom client documents entirely by hand. Each one took roughly 12 hours, creating bottlenecks, high labor costs, and slow turnaround across the organization.
Decision
Build a proprietary tool to systematize document creation — automating the repetitive work while preserving the customization and accuracy each client requires.
Tradeoffs Considered
Whether to build a custom internal tool or rely on templates and outsourcing. How to balance upfront development cost against long-term labor savings. Where automation could replace manual steps without compromising quality.
Outcome
Campaign planning moved from scattered spreadsheets into a single relational system. The team gained clear visibility across regions, eliminated duplicated effort, and could finally see dependencies between campaigns at scale.
2–3 hrs
Daily Time Saved
across the team
$100K+
Projected Annual Savings
in operational costs
Challenge
The marketing team was running dozens of regional campaigns out of spreadsheets. Visibility was poor, work was duplicated across regions, and there was no way to see how campaigns, locations, and outcomes related to each other.
Decision
Replace the spreadsheet workflow with a centralized system purpose-built for multi-region campaign planning, content drafting, and cross-team coordination.
Tradeoffs Considered
Whether the pain justified investing in a custom system or if a lighter-weight fix would hold. How much structure to impose without slowing down a team used to flexible, ad hoc coordination.
A Note on Confidentiality
All case studies are published with client permission and anonymized where requested. Additional references available under NDA.
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