Blog

Fraud & Loss Pilot Rollout Checklist: Data Contracts, Metrics, and Audit-Ready Production

Fraud & Loss Pilot Rollout Checklist: Data Contracts, Metrics, and Audit-Ready Production

An engineering-first checklist for fraud pilots that must survive procurement, legal, and SOC audits: data contracts (Snowflake + dbt), ground-truth labeling, backtests, drift detectors (MLflow + Evidently), latency SLOs, and an operator playbook.

Read More
Airewrite at Scale: Post‑Deployment Controls That Cut Token Spend 60% and Stopped Hallucinations

Airewrite at Scale: Post‑Deployment Controls That Cut Token Spend 60% and Stopped Hallucinations

Practical post‑deployment controls for airewrite that cut token spend 62% and reduced inaccurate summaries 78% — runtime prompt slicing, Pinecone caching, adaptive temperature gates, cohort rollouts, and predictive monitoring.

Read More

AI receptionist + Salesforce: SLOs, cost alerts, and where to push logic

A bot that drops leads or spikes your cloud bill will cost more than a delayed roadmap. This checklist gives production SLOs, realtime cost alerts for Vertex/OpenAI, decision rules for putting logic in Salesforce vs the voice agent, and five field-mapping mistakes that silently lose revenue.

Read More

Audit‑Ready Contract Readers: an engineering spec that survives lawyers and regulators

An audit‑ready contract reader must prove provenance, show deterministic failures, and hold a measurable error budget; this post gives an engineering spec, vendor patterns, and an actionable audit checklist.

Read More
Integrating an AI Receptionist with Salesforce: field mapping, event model, and who pays for inference

Integrating an AI Receptionist with Salesforce: field mapping, event model, and who pays for inference

If your AI receptionist doesn’t write calls, intents and disposition data back to Salesforce in a usable way, it’s a toy. This post gives a production-ready reference architecture, canonical field mappings for Leads/Contacts/Cases, and three integration patterns with cost and consistency tradeoffs.

Read More
Is Voice Cloning Legal for Call Centers? Consent, Security, and a Technical Deployment Checklist

Is Voice Cloning Legal for Call Centers? Consent, Security, and a Technical Deployment Checklist

Short answer: sometimes — but most call centers get the legal and technical parts wrong. This checklist ties consent, PCI/HIPAA, watermarking, and audit trails to measurable risk reduction.

Read More

RAG and LLMs in Production: SLOs, Cost Controls, and Kill‑Switches

If your RAG prototype has no SLOs, cost allocation, or automated kill‑switch, it will blow the POC budget. Practical guardrails for latency, accuracy, token budgets, vector-store spend, autoscaling, and hard safety fences.

Read More

Build vs Buy a RAG Layer in 2026: real TCO, vendor playbook, and SLA traps

If your legal team requires auditable vectors, don't DIY without a three-year TCO model — off-the-shelf vector stores plus managed LLMs usually win for mid-market. This post gives an apples-to-apples cost model, vendor tradeoffs (Pinecone, Weaviate, Milvus), managed LLM SLA realities (OpenAI, Anthropic, Vertex), and the contract clauses that cause the bills to spike.

Read More