WCG Private AI · Agents built for your perimeter

§ 01 · The position

Real AI shouldn't mean handing over your data.

Most AI tools assume your data can move to someone else's cloud. For regulated operations, sensitive IP, and PHI, that is a non-starter. The work either stalls in review or drifts into unmanaged consumer tools.

So we build agents that run where your data lives. Sensitive context stays on private models inside your perimeter; a step reaches an external frontier model only when it genuinely adds value, minimized, policy-approved, and logged.

We build one workflow at a time, on the architecture your risk posture allows: private, hybrid, or external. And you keep what we build. There is nothing to license and nothing to return.

You get the capability without the tradeoff: real models, working on your data, inside your walls.

§ 02 · The postures

What AI looks like in your environment.

Not every workload needs the same posture. We help you place each one where it belongs, private, hybrid, or external, and move it as your needs change.

01Fully privateMaximum control

Your AI stays entirely within your walls: on-prem, in your private cloud, or fully air-gapped. The strongest compliance story, on infrastructure you run. For regulated PHI, financial, or classified-IP workflows, nothing leaves your perimeter.

02HybridBalanced

Sensitive context stays on private models; minimized, policy-approved, and logged calls reach an external model only where it adds value. Frontier capability without exposing sensitive data.

03ExternalMaximum speed

Cloud-assisted and governed, when the workload allows, with policy and logging. The fastest, lowest-overhead path. No lock-in; swap models as the frontier moves.

Private where it must be. Frontier where it helps. Audited everywhere. You own it.

§ 03 · The agents

Working agents, deployed against your systems and your data.

Not a chatbot bolted onto your intranet. Six agent families we deploy today: grounded in your own sources, cited, and yours to own.

AGENT / POLICY-01

Policy & knowledge agents

Answers from your own policies, SOPs, regulations, and playbooks, cited to the exact passage. Never from the open web.

AGENT / DOC-02

Document & email agents

Read, extract, classify, and draft. Long documents, forms, and inboxes become structured output, with people on the edge cases.

AGENT / PAPAIA · FLAGSHIP

PAPAIA

Our flagship policy and program agent: navigate dense regulatory and public-assistance frameworks with cited, traceable answers your auditors can follow. See PAPAIA →

AGENT / FIN-04

Financial close & reconciliation

Match transactions, reconcile high-volume expenses, and draft flux commentary inside your close calendar, with people on exceptions.

AGENT / CLM-05

Prior-auth & claims

Draft prior-auth submissions and work claims exceptions on PHI-safe, fully private deployment.

AGENT / DIL-06

KYC/AML & diligence

Screen entities, assemble evidence, and draft findings with a traceable record your compliance review can follow.

All six agent families, in depth →

§ 04 · The record

Reported results, not projections.

These are operational problems Wellesley Cove Group has helped clients solve. Every engagement is different; the objective is the same: reduce cost, improve quality, and create measurable value.

Lead case · Healthcare

Expense reconciliation

AI-assisted document understanding reconciled $500M in labor expenses for a large hospital group, turning a months-long, large-team process into a few weeks, with fewer people and fewer errors.

97%+ extraction accuracy

Months → weeks cycle time

Marketing operations

Process redesign and automation unified disconnected workflows across a 200+ person operation, creating a single foundation for AI to take on the highest-volume work.

200+ person team, one foundation

Infrastructure

Centralized reporting and real-time visibility brought timelines, budget, and spend into a single view across a $1B+ capital program, on AWS and Microsoft.

$1B+ program, one system of record

Insurance

Advanced analytics revealed previously hidden cross-sell paths within a large insurer's customer base.

4 segments new cross-sell paths

Anonymized; results as reported by WCG. Most engagements are smaller and more focused than the figures above: one workflow, five weeks, one team.

Read the case studies at wellesleycove.com →

§ 05 · The thinking

Notes from the practice.

Methodology, point of view, and observations from the field, published by the wider firm.

01Four AI Use Cases That Actually Map to EBITDAApr 2026

Which use cases pay off inside a value creation plan, and which don't. The cornerstone piece.

02Why AI Initiatives Stall in OrganizationsMar 2026

The common failure patterns: process gaps, data debt, change-management debt, executive-sponsor drift.

03AI-Native vs. AI-Augmented OperationsFeb 2026

When "AI-native" is real, and when it's marketing.

Prefer the long form? The Operator's Guide to Practical AI covers how to scope and de-risk a first workflow without losing control of your data. Get the guide →

§ 06 · Who we work with

Built for regulated and IP-sensitive operators.

01Healthcare & life sciencesPHI-safe

RCM, claims administration, clinical and lab operations. Compliance overhead is real; agents are private and PHI-safe by design.

02Financial services & insuranceControls first

Carriers, servicers, and finance teams where data is sensitive and controls matter. Cited answers and audit trails your reviewers can follow.

03Founder-owned, mid-market & PE-backedOperating cadence

Management teams on an operating-improvement plan who want AI that moves throughput and margin, without a data-exposure story in diligence.

04Regulated contractors & advisoryClient-confidential

Firms that hold other people's sensitive data: legal, accounting, consulting, and the contractors that serve regulated programs.

05Knowledge & expert organizationsCited answers

Teams whose product is judgment: research, policy, and analysis grounded in their own corpus, with citations to the exact source.

Wellesley Cove has also supported public-sector-adjacent organizations, and the firms that serve them, in policy-heavy programs such as disaster recovery and Public Assistance.

§ 07 · Security, stated plainly

AI should fit your risk posture, not the other way around.

We design each agent around the sensitivity of the work. The architecture decision is made deliberately and documented: private, hybrid, or external, depending on your security posture. Access controls, logging, human review, and auditability are configured from day one, not retrofitted. Every prompt and output is logged on your systems, with role-based access and output guardrails.

Your data does not leave your perimeter unless you decide it should. The posture supports HIPAA, SOX, NIST 800-53, and ISO 27001, and simplifies SOC-2 and vendor-security reviews.

See exactly where your data lives →

Talk to the people who build this.

Write to request@wellesleycove.com or use the form. A senior person reads it, and you hear back within one business day.

Start a conversation → Explore the agents

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