Enterprise AI that
actually works.
Most AI pilots look great. Most AI deployments disappoint.
CophyAI gives you the infrastructure to change that — measure quality, keep knowledge current, and improve continuously.
The Problem
AI without quality management is just automating errors at scale.
Three things consistently break enterprise AI — not the models, not the technology. The infrastructure around them.
You can't measure quality
Your AI outputs look plausible. But you have no reliable way to know if they're accurate — and no system to catch degradation before your clients do.
Your knowledge goes stale
Policies change. Compliance rules update. Products evolve. But your AI is still running on prompts written six months ago against documents no one has touched.
Iteration is too slow
Every prompt change requires an engineer. Every test is manual. Every deployment is a guess. By the time something improves, something else has broken.
The Solution
Run. Measure. Improve. Repeat.
CophyAI is the platform that closes the quality loop — the infrastructure layer that turns AI from a risk into a reliable operational asset.
01 — Run
AI that works inside your actual workflows
Configurable pipelines for calls, documents, and records. PII protection built in. Context pulled from your policies automatically.
02 — Measure
Quality metrics you can actually trust
Every AI output is scored against labeled ground truth. Precision, recall, and F1 per field. Alerts when quality drops. A real number, not a feeling.
03 — Improve
Systematic improvement, not guesswork
Discrepancy patterns surface prompt candidates. New versions tested against labeled datasets before deployment. Every change tracked and reversible.
How It Works
From raw input to structured output — in a controlled, observable pipeline.
Every request follows the same path: protected, contextualized, processed, scored, and tracked.
Quality Management
The quality loop that never stops.
A component that hit 92% precision at launch can degrade to 74% three months later — without anyone noticing. CophyAI catches this before your clients do.
- Human reviewers label outputs as correct/incorrect — TP/TN/FP/FN
- Precision, recall, and F1 calculated automatically per output field
- Discrepancy patterns surface prompt improvement candidates
- New prompt versions tested against labeled datasets before promotion
- Old versions retained for rollback — no irreversible deployments
Industries
Built for operations where AI errors have real consequences.
Mortgage & Lending
Document validation, disclosure compliance, underwriting QA. Accelerate loan processing 2–4x while reducing post-close audit defects.
Banking & Financial Services
KYC/AML monitoring, communication surveillance, compliance automation. 100% coverage vs. 5% manual sampling.
Insurance
Claims review, fraud detection, adjuster QA. Reduce claims processing costs 30–60% with consistent, traceable decisions.
Debt Collections & Settlement
FDCPA compliance monitoring, agent QA, dispute classification. Catch violations before they become lawsuits.
Call Centers & BPOs
100% interaction coverage for QA, coaching, and compliance — at a fraction of the cost of manual review.
Healthcare Administration
Intake quality, prior authorization review, documentation compliance. High-volume structured and unstructured document processing.