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AI Collections for Mid‑Market AR: Build‑vs‑Buy Playbook (Recover Cash in 60–90 Days)

AI Collections for Mid‑Market AR: Build‑vs‑Buy Playbook (Recover Cash in 60–90 Days)

A blunt playbook for CFOs, RevCycle leaders, and Salesforce architects: which AR collection tasks to automate, vendors that actually ship, and the KPI bundle that proves payback in 60–90 days.

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Airewrite in Production: a Playbook for Cost‑Bound LLMs

Airewrite in Production: a Playbook for Cost‑Bound LLMs

Stop guessing whether Airewrite should be your core inference plane. This playbook gives engineers a decision matrix for API vs self‑host, a hybrid router+cache pattern that cut token spend 40–70%, procurement SLOs, and mirrored canary metrics you can use today.

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Niche medical‑scan models fail in hospitals — three deploy‑first fixes that recover triage throughput and $/scan

Niche medical‑scan pilots stall for three engineering reasons—not model size. This post gives three deploy‑first fixes, vendor-tested configs (NVIDIA Clara, Vertex AI, Databricks), and a CFO-friendly ROI worksheet that converts fewer false negatives and faster inference into scans/hour and revenue/procedure.

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Proving ROI for an AI Receptionist: event model, Salesforce mapping, and procurement-ready KPIs

If you can't give Procurement a dollar number and two KPIs in the first meeting, your AI receptionist is a dead pilot. This playbook supplies the event model, exact Salesforce field mappings, SQL for attribution, vendor notes (Twilio, Dialogflow CX, Amazon Connect, Service Cloud Voice), and a one-page CFO evidence bundle you can drop into procurement.

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Airewrite TCO Playbook: Budget, Measure, and Cut Inference Costs for Production LLMs

Airewrite TCO Playbook: Budget, Measure, and Cut Inference Costs for Production LLMs

If you can't forecast next quarter's inference bill, Airewrite isn't in production — it's a financial surprise. This playbook shows CFOs and CTOs how to model Airewrite licensing plus OpenAI/Anthropic/Vertex inference, where caching/quantization/prompt engineering cut token spend ~60%, which vector DBs actually save money at scale, and a sample TCO spreadsheet tied to SLOs and dollars.

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When to Replace Rules with ML for Fraud: A Break‑Even Playbook for Mid‑Market Fintech

When to Replace Rules with ML for Fraud: A Break‑Even Playbook for Mid‑Market Fintech

A CFO-ready playbook that forces the math on replacing rules with ML: break-even formulas, uplift measurement, audit-safe deployment patterns (Kafka + Snowflake + MLflow), vendor timelines.

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Real‑Time Agent Assist: architectures, latency budgets, and vendors that actually cut handle time

Agent coaching only pays when latency is under 200ms, the assist UI stays out of the agent's way, and outcomes are measured in seconds saved per call; this post gives production architectures, SLO budgets, ROI metrics, and a vendor map that works in live contact centers.

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Airewrite in Regulated Workloads: a Practical Security, Data‑Residency, and Audit Trail Playbook

Running Airewrite over PHI/PII or legal workflows with default settings will fail an auditor. This playbook gives engineers concrete patterns — data residency, on‑write redaction, encrypted vector stores, provenance bundles, and SIEM-linked canary evidence — plus implementation notes for Pinecone/Redis and Snowflake/BigQuery.

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