Enterprise AI Solutions

Production AI for business decisions — built with deterministic cores, executable evals, and human escalation where the stakes demand it. The model does the language; auditable code makes the call.

Chargeback Decision Engine

Solution build 10/10 adversarial eval

Decides whether a supplier should dispute, accept, or escalate a retailer’s chargeback claim — and backs every verdict with machine-verified evidence from the supplier’s own ERP and signed Bill of Lading records. The architecture is the point: the LLM only extracts facts from the free-text notice under a quote-or-null contract; a deterministic engine makes the money decision — reproducible, auditable, and identical with or without an API key. When the records can’t settle it, the verdict is escalate-to-human with the reason recorded.

Python (stdlib core) Claude — extraction only Evidence integrity checks Runs keyless Executable eval

How it’s built →

Transcript Intelligence

Solution build Conversation analytics

Turns raw B2B call transcripts — support, sales, internal — into findings a leadership team can act on. Theme discovery via embeddings + clustering, sentiment trends per call type, and the differentiator: a cross-call narrative engine that reconstructs a customer's, incident's, or competitor's full story across organizational silos. In the demonstration corpus it surfaced churn signals concentrated in a support silo no account manager could see, and traced one outage's six-week commercial tail across 30 calls.

sentence-transformers KMeans + silhouette Claude (cluster naming) Runs keyless Python CLI

How it's built →

How an engagement works

The same discipline in every build: measure first, decide deterministically, escalate honestly.

Scope the decision

We identify the business decision the system will make — and, just as deliberately, the cases where it must hand off to a human instead of guessing.

Build with an eval harness

The eval comes first: labeled cases plus synthetic edge cases for the paths real data never shows. Every prompt and pipeline change is gated by it — no change ships on vibes.

Verified handoff

You receive a system whose claims are reproducible — measured results, an executable eval you can re-run, and graceful degradation when models or keys are unavailable.

Have a decision process that deserves this treatment?

Deductions, claims, audits, document review, conversation analytics — if it's high-volume and judgment-shaped, it's a fit.

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