We measure every engagement against driver outcomes. Here's what that produces.
Every Axiant engagement begins with a Driver Map and closes with a measurement of whether that map moved. The case studies below are not cherry-picked highlights. They are the documented output of the PFA methodology applied to real small and mid-market organizations with real automation challenges.
"Generic outcomes are not proof. Specific numbers are. Every case study on this page is built around a quantified result tied to a business driver identified before the engagement began."
Axiant, Proof StandardAdditional filter combinations become available as the case study library grows.
Texas Rural Hospital Reduces Claims Processing Manual Effort by 40%+ with Axiant
Texas Rural Hospital's revenue cycle process depended on manual handoffs across its billing system, a third-party coding partner, and an RCM clearinghouse. Decision consistency, processing visibility, and traceability were limited across the end-to-end workflow. The PFA Diagnostic identified three DRIFT elements at the outset: Rules Undocumented, Fragmented Processes, and Invisible Execution.
Operational Truth mapping surfaced a five-step manual sequence that spanned all three parties and lacked centralized state ownership. Similar claims were handled differently, exceptions were often caught late, and auditability was effectively absent when teams needed to reconstruct why decisions were made.
Axiant introduced a five-agent architecture with explicit state transitions and traceable rationale across the workflow. Standardization and design preceded build. The result: 40%+ reduction in average processing time and 70%+ of cases completed without manual intervention.
"Client quote and attribution to be added before publishing this case study."
Attribution pendingTexas Rural HospitalThe documented record of the methodology in practice.
Each case study follows the same structure: before-state, DRIFT diagnosis, Four Paths decision, engagement, and quantified after-state. No generic outcomes. No approximate improvements. Specific numbers tied to specific drivers.
Texas Rural Hospital: Revenue Cycle Workflow Stabilized with Agentic Automation
Fragmented manual handoffs across billing, coding, and clearinghouse systems created inconsistent decisions and delays. Axiant mapped the end-to-end process, standardized decision logic, and implemented a five-agent architecture. The result was 40%+ faster processing and 70%+ of cases completed without manual intervention.
Real Estate Client: Foreclosure Property Monitoring Automated Within Legal Notice Windows
The client replaced a five-step manual property monitoring workflow spread across hundreds of county data sources with a three-agent architecture synchronized to Texas foreclosure notice windows. The result was delivery within 48 hours of key dates, 90%+ finalized data accuracy, and traceable decision rationale.
Real Estate Client: Property Data Processing Time Reduced by 96% with Agentic Automation
The client replaced a fragmented, manual property data aggregation process with an orchestrated agentic workflow designed around standardized filtering and inference rules. The result was a 96% reduction in average processing time, an average turnaround of 48 hours or less, and 90%+ data accuracy on finalized outputs.
Every result on this page meets the same standard.
Most consulting case studies are written by marketing teams after the fact. They describe what happened without documenting what was supposed to happen. The outcome is a narrative, not a measurement.
Axiant case studies are built backwards from the Driver Map established in Stage 1 of every engagement. The target driver outcome is defined before the engagement begins. The result is measured against that target within the Impact Window established in Stage 3. The case study documents both: what was targeted and what was produced.
Every case study on this page has been reviewed and approved by the client before publication. The outcome numbers are verified against the driver metrics established at engagement start. Nothing is approximated. Nothing is rounded to look better than it is.
"Automation should prove its worth or prove its exit. The same standard applies to the case studies we publish. If we cannot quantify the result, we do not publish the case study."
Process First Automation, Core PrincipleThe methodology works across operational contexts. Not just one vertical.
Axiant publishes industry-specific case study clusters when two or more case studies exist within a vertical. These pages are building as the case study library grows. The first clusters will cover the verticals below.
Healthcare Administration
Approval workflow automation, handoff fragmentation, and throughput measurement across distributed operations teams.
1 case study publishedView case studies
Financial Services Back-Office
Invoice processing, reconciliation workflows, and compliance monitoring across finance operations teams in small and mid-market financial services firms.
BuildingComing when two case studies exist
Healthcare Administration
Prior authorization workflows, patient intake automation, and billing reconciliation in small and mid-market healthcare administrative operations.
BuildingComing when two case studies exist
We're also writing the definitive guide on this methodology. Join the early access list.
The Driver Map we build in your Diagnostic becomes the measurement standard for your engagement.
Every result on this page traces back to a Driver Map built in Stage 1 of the PFA Loop. The Diagnostic is where that map begins. Forty-five minutes. A structured conversation with a named Axiant practitioner. A written Process Readiness assessment that identifies your DRIFT elements, scores your process candidates, and classifies each into one of the Four Paths.
Know why the results look the way they do.
How the PFA Loop Produces These Results
The six-stage operating cycle that begins with driver identification and closes with measured outcomes. Every engagement runs this sequence. Every case study on this page came from it.
Explore how we workWhy Every Engagement Starts With the DRIFT Assessment
Before a Driver Map is built, the DRIFT diagnostic identifies which root causes are present. That diagnosis determines the engagement scope. Take the self-assessment to see which elements apply to your organization.
Take the DRIFT Self-AssessmentThe Four Paths: Why We Redesigned Before Automating
Three of the processes in the logistics case study were assigned to the Redesign path before any automation was deployed. This is the framework that made that decision. Understand how it works.
See the Four Paths