INDUSTRY · HEALTHCARE
Provider organizations, payers, and carriers all run on the same back-office reality — credentialing, prior auth, denials, eligibility, and the correspondence that strings them together. BuildClub deploys agents on those workflows. Your EHR, practice management, and clearinghouse stay exactly where they are.
Request a conversation →
Senior people inside healthcare organizations spend most of their week on operational paperwork, not on the work their title suggests. A credentialing director spends her days chasing CAQH updates, primary source verification responses, and payer-specific application revisions. A revenue cycle director spends his week pattern-matching denial reasons, drafting appeals, and routing re-submissions. A VP of provider network at a payer spends her time reconciling enrollment status across hundreds of contracted groups. The job titles say leadership. The calendars say paperwork.
The workflows stay manual because they sit between systems, not inside them. The EHR holds clinical data. The practice management system holds scheduling and billing. The clearinghouse handles submission. The payer portals hold their own rules. The credentialing system holds documents. None of those systems talks fluently to the others, and the gap is filled by humans copying, reformatting, and following up. That is the work AI eats first — not the clinical work, the connective tissue between systems.
For the P&L, the consequence is straightforward. Operational margin in a mid-market medical group compresses every year as payer mix shifts, prior auth volume rises, and credentialing backlogs delay revenue. Payers feel the inverse pressure on MLR — every dollar of internal labor spent on claims processing and provider network maintenance is a dollar against medical loss ratio targets. The unit economics of healthcare operations have not improved in a decade. AI is the first lever that materially changes them.
~30%
of physician time spent on documentation and administrative work.
AMA Practice Sustainability Survey, 2024.
$15.6B
annual cost to U.S. providers of prior authorization workflows.
CAQH Index 2023.
12.3%
claim denial rate across mid-market providers — a recoverable revenue line item.
Change Healthcare Denial Trends, 2024.
During Phase 0, the following task clusters surface again and again across provider organizations, payers, and carriers. They are where BuildClub typically focuses first.
| Function / Workflow | What is manual today | Task cluster opportunity |
|---|---|---|
| Credentialing and re-credentialing | Hunting down 30–40 documents per clinician per payer. CAQH updates. Primary source verification through NPDB, DEA, and state boards. Payer-specific application drafting. Follow-up tracking across credentialing committees. | Document gathering agent. Payer-app drafting agent (one per payer pattern). Re-credentialing reminder and chase agent. |
| Prior authorization | Per-payer rules research. Clinical documentation packaging. Submission, follow-up, and denial escalation. Different rules per plan, per state, per drug class. | Per-payer prior-auth playbook lookup. Documentation packaging assistant. Denial response drafting. |
| Claims and denial management | Pattern matching across denial reasons. Appeal drafting. Payer correspondence. Re-submission tracking. Coordination of benefits research. | Denial-pattern recognition agent. Appeal-letter drafting agent fed by historical resolution data. |
| Intake and eligibility verification | Insurance verification per visit. Eligibility checks across payers. Referral routing. Authorization tracking before service. | Eligibility lookup automation. Referral routing agent. Pre-visit authorization status checker. |
| Care gap closure | HEDIS measure outreach. Patient correspondence. Scheduling coordination across panels for value-based contracts. | Outreach drafting agent. Care gap dashboard. Scheduling escalation routing. |
| Clinical documentation review | Note enhancement for payer documentation requirements. Coding assist. Documentation review tied to value-based and capitation contracts. | Documentation review agent. Coding-assist co-pilot deployed alongside existing CDI tools. |
| Provider enrollment and contract maintenance | Tracking enrollment status across dozens of payers. Re-credentialing cycle management. Contract amendment processing and fee schedule reconciliation. | Enrollment-status tracking agent. Contract diff agent. Fee schedule reconciliation agent. |
What is manual today
Hunting down 30–40 documents per clinician per payer. CAQH updates. Primary source verification through NPDB, DEA, and state boards. Payer-specific application drafting. Follow-up tracking across credentialing committees.
Task cluster opportunity
Document gathering agent. Payer-app drafting agent (one per payer pattern). Re-credentialing reminder and chase agent.
What is manual today
Per-payer rules research. Clinical documentation packaging. Submission, follow-up, and denial escalation. Different rules per plan, per state, per drug class.
Task cluster opportunity
Per-payer prior-auth playbook lookup. Documentation packaging assistant. Denial response drafting.
What is manual today
Pattern matching across denial reasons. Appeal drafting. Payer correspondence. Re-submission tracking. Coordination of benefits research.
Task cluster opportunity
Denial-pattern recognition agent. Appeal-letter drafting agent fed by historical resolution data.
What is manual today
Insurance verification per visit. Eligibility checks across payers. Referral routing. Authorization tracking before service.
Task cluster opportunity
Eligibility lookup automation. Referral routing agent. Pre-visit authorization status checker.
What is manual today
HEDIS measure outreach. Patient correspondence. Scheduling coordination across panels for value-based contracts.
Task cluster opportunity
Outreach drafting agent. Care gap dashboard. Scheduling escalation routing.
What is manual today
Note enhancement for payer documentation requirements. Coding assist. Documentation review tied to value-based and capitation contracts.
Task cluster opportunity
Documentation review agent. Coding-assist co-pilot deployed alongside existing CDI tools.
What is manual today
Tracking enrollment status across dozens of payers. Re-credentialing cycle management. Contract amendment processing and fee schedule reconciliation.
Task cluster opportunity
Enrollment-status tracking agent. Contract diff agent. Fee schedule reconciliation agent.
Phase 0 starts in revenue cycle, credentialing, and intake — the three areas where the friction is most measurable. We sit with credentialing coordinators, denial analysts, prior auth specialists, and intake leads. We map task clusters across the team, quantify the operational hours, and produce a 12-month roadmap. For payers, Phase 0 starts in claims operations, provider network management, and member services. The output is the same shape: a ranked roadmap of clusters with effort and impact estimates.
Phase 1 deploys the AI tool stack across the operational functions — Claude, ChatGPT, function-specific platforms — with proper admin controls and HIPAA-aware configuration. Training runs cohort-by-cohort: credentialing coordinators, billing analysts, denial specialists, intake teams. If you also engage the Company Brain (separately scoped, standalone knowledge layer), it ingests your internal policy documents, payer-specific playbooks, denial libraries, and credentialing references — so when a coordinator asks what is the documentation requirement for this payer, the answer comes from your own institutional knowledge.
Phase 2 deploys agents on the highest-impact task clusters surfaced during Phase 1 task decomposition. A re-credentialing agent that gathers the documents, drafts the payer applications, and chases the responses. A denial-pattern agent that classifies denials, drafts appeals from the historical library, and routes them to the right human reviewer. The agents sit on top of your existing EHR, practice management, and clearinghouse infrastructure — they do not replace any of it.
Composite example — illustrative of typical engagements, not based on a single client.
A mid-market multi-specialty medical group, roughly 80 providers across several states, engages Phase 0. The CFO and COO are co-sponsors. The presenting pain is operational margin compression — credentialing backlog is delaying revenue from newly hired providers by an average of 90–120 days, and denial volume has been climbing for four consecutive quarters.
Phase 0 surfaces three primary clusters. First, re-credentialing — roughly 20% of the credentialing team hours go to chasing documents and drafting payer-specific applications, with high repeatability. Second, denial management — about 40% of the denials in the past 12 months fall into a small set of payer-and-reason patterns that the team handles individually each time. Third, prior authorization — per-payer rules research consumes a disproportionate share of the prior auth specialists week, and the rules library lives in scattered files.
Phase 1 deploys the AI tool stack across revenue cycle, credentialing, and intake. Where Company Brain is engaged alongside Phase 1, the standalone knowledge layer ingests the group internal credentialing reference library, denial appeal templates, and payer-specific playbooks. Training cohorts run for credentialing coordinators, denial analysts, prior auth specialists, and intake leads. Light automations clean up the document-gathering workflow and the re-credentialing reminder cadence.
Phase 2 deploys a re-credentialing agent and a denial-pattern agent. Illustrative outcome: roughly 20% of the credentialing team operational hours recovered for higher-value work, denial appeal turnaround time reduced materially, and new-provider revenue ramp shortened by weeks. The agents continue to learn from the team resolution patterns as they run. The medical group owns the agents, the Company Brain, and the underlying configuration.
Not a clinical AI vendor. We do not touch diagnosis, treatment recommendation, clinical decision support, or anything that sits in front of a clinician decision-making. Our scope is the operational side of healthcare — the paperwork, the correspondence, the verification, the follow-up. Clinical AI is a different discipline with different regulatory requirements, and other vendors do it well.
Not a clearinghouse replacement. Your existing claims submission, prior auth submission, and EDI infrastructure stays exactly where it is. The agents we deploy work alongside your clearinghouse — they prepare submissions, package documentation, and handle correspondence around the submission. They do not replace the rails the submission travels on.
Not an EHR or practice management module. We deploy on top of your existing EHR and practice management tools, not in place of them. If your group runs Epic, athena, eClinicalWorks, Kareo, or any other platform, we work with it. The agents read from and write to your existing systems; they do not replace them.
The buying committee is typically CFO, COO, and revenue cycle director. The presenting pain is operational margin compression, payer mix complexity, and credentialing backlog. They have already invested in their EHR and clearinghouse. They are not looking for another platform — they are looking for AI deployed on the workflows their existing platforms do not cover.
Practice administrators and practice managers struggling to integrate acquired practices billing, credentialing, and intake workflows. Each acquisition brings its own payer contracts, credentialing files, and operational habits. The work of normalizing those onto a single operational standard is exactly the work AI agents handle well.
VP Operations, VP Claims, or VP Provider Network. The pain is different — they want to reduce internal labor on claims processing, provider network management, denial review, and member correspondence. The task clusters look different from the provider side, but the method is the same: Phase 0 maps the operational work, Phase 1 deploys tools and the Company Brain, Phase 2 deploys agents on the clusters that matter.
Tell us about your operational pain — credentialing, prior auth, denials, intake — and we'll identify whether Phase 0 · Assess is the right starting point.
Request a conversation →