Case Studies

See How We Deliver Results

Every engagement is built around one measure of success: how much time, cost, and friction did we remove from the business.

The engagements below are representative examples illustrating the types of outcomes Pierce Boyd's methodology is designed to produce across our primary industries. They are composite scenarios, not disclosures of specific named clients. Replace with verified client results and metrics as engagements are completed.

A Pierce Boyd AI Strategy Partners engagement in progress
Professional Services

Reclaiming Billable Hours from Administrative Work

Challenge

A mid-market advisory firm's consultants were spending a significant share of each week on documentation, reporting, and knowledge retrieval instead of client work.

Approach

An AI Opportunity Audit followed by AI Implementation for documentation and knowledge management, paired with employee training on adoption.

Hundreds of hours

returned to client-facing work every month.

Healthcare

Reducing Administrative Burden on Clinical Staff

Challenge

A regional healthcare organization needed to reduce non-clinical administrative load without compromising compliance or patient experience.

Approach

An AI Opportunity Audit with governance built in from day one, followed by an AI Implementation project automating intake, scheduling, and records workflows.

Meaningful reduction

in administrative hours per care team, per week.

Financial Services

Modernizing Client Reporting Operations

Challenge

A financial services firm relied on manual processes to compile client reporting each quarter, creating bottlenecks and inconsistent quality.

Approach

AI Implementation for reporting and knowledge management workflows, combined with an ongoing AI Transformation Partnership for governance and risk oversight.

Faster turnaround

on quarterly client reporting cycles.

Manufacturing

Preparing the Workforce for AI-Enabled Operations

Challenge

A manufacturing organization wanted to modernize operations but lacked leadership alignment and workforce readiness for AI adoption.

Approach

An AI Transformation Partnership spanning executive alignment, department-specific AI training, and phased AI Implementation.

Organization-wide

adoption across production, quality, and back-office teams.

Meredith Pierce reviewing engagement findings

Organizations don't need more AI tools. They need a strategy, adoption, workflows, and measurable ROI.

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