Fei Business Advisory
Operational AI for work that must actually change.
We help established organizations decide where AI belongs, redesign the work around it, and leave teams with systems they can run.
Executive agenda
Where executive intent becomes better work.
Which decisions deserve machine support?
We identify the moments where better evidence, faster synthesis, or reduced cognitive load changes the economics of frontline work.
Which workflows are constrained by legacy practice?
We map handoffs, bottlenecks, error patterns, and informal compensating behaviors before prescribing technology.
What must your team be able to run after the engagement ends?
We design playbooks, governance routines, and measurement systems so modernization survives beyond launch.
Services
Advisory disciplines for high-consequence modernization.
01
AI workflow redesign
Convert expert judgment, policy interpretation, and repetitive administrative reasoning into auditable human-in-the-loop systems.
02
Operating-model modernization
Rebuild process architecture, ownership, measurement, and adoption around the realities of legacy organizations.
03
Data-to-decision systems
Create executive views, analytical products, and cadence designs that convert fragmented evidence into accountable action.
04
Technology diligence
Assess vendor claims, product feasibility, organizational readiness, and implementation risk before capital is committed.
05
Frontline research
Interview, observe, and instrument the work to reveal variance between formal process and lived operational practice.
06
Implementation governance
Stand up decision forums, risk controls, and delivery rituals that keep modernization disciplined under ambiguity.
Selected situations
Work products clients can use, not slideware.
Clients engage Fei Business Advisory when the problem needs technical judgment, operational evidence, and accountable delivery in the same room.
Clinical operations
AI-assisted reimbursement workflow
Decision support for claim-code selection, denial-risk reduction, and caregiver-facing administrative efficiency.
Read the case studyEnterprise operations
LLM-powered contract risk review
Contract-language triage, clause-risk identification, and escalation design for procurement and legal stakeholders.
See deliverablesHow we work
Rigorous diagnosis. Practical architecture. Executable change.
Diagnose
Establish the empirical base through interviews, workflow observation, data review, and constraint mapping.
Architect
Define the target operating model, intervention logic, system requirements, and governance controls.
Implement
Build the minimum durable system: prototypes, workflows, measurement, adoption support, and executive instrumentation.
Transfer
Leave behind playbooks, decision rights, analytical artifacts, and capability owners.
Begin
Bring discipline to the next modernization decision.
If the problem is expensive enough to require judgment, evidence, and delivery discipline, we should talk.