We work with firms that need this to actually work.

Northfield Federal Bank

Northfield had spent two years trying to land a retention model that the contact center would actually use. Our pod scoped narrowly — high-balance retail customers, single decile, 90-day horizon — and shipped a model wired into the agent desktop in eleven weeks. Recommended actions are bounded to five, scored against expected revenue retained, and reviewable in audit. The model is the floor; the workflow is the product.

Hellenic Reinsurance

Hellenic's first-notice-of-loss workflow had grown a long tail of manual document chasing. The pod paired a document AI extractor with a policy-lookup agent and an adjudication assist that surfaces precedent on similar prior claims. Adjusters keep the disposition decision; the system clears everything around it. Cycle time fell by an order of magnitude; the team grew expertise instead of headcount.

Vega Specialty Lenders

Underwriters at Vega were spending 60% of every file on assembly — pulling financials, reconciling spread sheets, checking covenants from prior decisions. The pod built a working surface that does the assembly in the background and surfaces a draft memo the underwriter edits. Every recommended term is explained against the policy clause and the comparable. Audit trail is the default, not the add-on.

Argent Wealth Partners

Argent's advisor desk was drowning in inbound — research requests, allocation questions, performance explanations. The pod built an agent layer over Argent's own research, holdings, and CRM that drafts the response, flags compliance review when needed, and routes the long-tail to the right human. The advisor still sends every reply; they just don't write every reply from scratch.