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WCG Private AI / Use cases

Where private AI shows up in the work.

Built for policy-heavy, regulated, and compliance-driven environments: the places where manual review, documents, and decisions create real cost, and where the data cannot leave. These are the workflows where most engagements start.

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§ 01 · The catalog, by sector

Six environments where the work cannot leave.

01Healthcare & life sciencesHIPAA-ready
Clinical and policy Q&A, prior-authorization and claims drafting, and trial-document summarization, with PHI kept inside your perimeter and HIPAA-ready by design.
02Financial services & insuranceIn-perimeter
Document and contract review, KYC/AML summarization, and memo and report drafting, with client and regulatory data that never leaves your perimeter.
03PE-backed & founder-ownedP&L-mapped
Operational workflows mapped to a measurable lever: financial close and reconciliation, contract review, and diligence, with data and IP kept in-perimeter.
04Regulated contractors & advisoryFirm knowledge
Compliance and contract navigation, regulatory research, audit preparation, and instant access to firm knowledge, for regulated vendors and consulting firms.
05Knowledge & expert agentsCited answers
Turn dense policy, regulation, and technical documentation into cited, traceable answers: an expert agent for any high-stakes corpus, from onboarding to audit.
06Public sectorSecondary focus
Policy and regulation navigation, compliance support, and internal knowledge management for public-sector agencies, a secondary focus alongside our core regulated verticals.
§ 02 · Outcome snapshots

What shipped, at mid-market scope.

Specialty healthcare
Prior-auth drafting
A prior-auth drafting prototype shipped in weeks, on a PHI-safe private deployment.
~40% less time per submission
PE-backed services
Financial-close assistant
A financial-close assistant prototype, built inside the close calendar the team already runs.
3-5 days targeted off the close
Registered Investment Adviser
Private document review
A document-review workflow on a fully private model.
Zero client data past the firewall

Representative of typical mid-market engagements. Results as reported by WCG.

Read the full case studies at wellesleycove.com →

§ 03 · What every deployment shares

The same guarantees, whatever the sector.

1.
Data sovereignty. Processing happens inside your environment, with air-gapped options available. No data leaves your walls.
2.
Grounded, cited answers. Every response is grounded in your own documents and cited to the source, so you can verify it instead of trusting generic training data.
3.
Time savings. Document-search time down 40-60% in typical deployments, with instant answers to complex questions.
4.
Audit-ready trails. Citations and logs designed for compliance verification, on your systems.
5.
Built around your rules. Agents tailored to your workflows, business rules, and compliance requirements, and moved between postures as your needs change.

Ranges reflect typical outcomes and are not guarantees. Actual results vary with baseline data, workflow feasibility, and implementation complexity.

Not sure where to start, or have something custom?

Tell us where manual review, documents, or decisions create real cost. We will show you what a private or hybrid deployment would look like in your environment, proven workflow or custom agent.

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Not ready to talk? The Operator's Guide to Practical AI covers how to scope and de-risk a first workflow. Get the guide →