Production AI Operations

Evaluation, observability, monitoring, deployment, quality checks, guardrails, and continuous improvement for AI systems in production. We keep your AI systems reliable long after launch, not just working on day one.

Built to Run in Production

Operational systems that catch problems before your users do, and keep improving over time.

Evaluate model and system quality continuously, not just at launch

Monitor performance, drift, and costs with clear, real-time visibility

Deploy safely with guardrails, staged rollouts, and incident prevention

Feed production data back into ongoing improvement cycles

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Case Studies

Explore how our monitoring and evaluation systems keep AI deployments reliable, accurate, and improving in production.

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All AI-Native Engineering Claims & Medical Review Customer Operations Data & Integrations Field & Inspection Financial Operations Legal & Contracts Onboarding

Automating Property Inspections: From Video to Report in Minutes

Property inspections produce slow, inconsistent reports that delay insurance claims, real estate transactions, and maintenance scheduling. Manual observation-to-documentation workflows don't scale with growing portfolios. Red Buffer built an AI platform that converts raw inspection video into structured, cost-estimated reports automatically and in minutes.

Reducing Contract Review Time by 60–70% with NLP-Driven Analysis

Contract analysis is a bottleneck in every enterprise. Manual review averages hours per document, and different reviewers reach different conclusions from the same text. Red Buffer built an NLP platform that ingests contracts, extracts clauses and terms automatically, and routes structured data through a human-validated review workflow.

Achieving 90% Accuracy in Insurance Claim Cost Prediction with AI-Driven Medical Records Analysis

Insurance claims assessment depends on reviewing complex medical records - a process that is manual, inconsistent, and slow. Different reviewers reach different conclusions from the same files. Red Buffer built an AI platform that automates extraction, classifies documents visually, and predicts claim costs with 90% accuracy.

Automating EDI Mapping to Achieve 70% Faster Partner Onboarding

EDI onboarding requires manually mapping each new partner's data formats to internal systems, a process that takes weeks and must be repeated for every format variation. During M&As, heterogeneous systems multiply the problem. Red Buffer built an ML-driven platform that learns mapping patterns and automates transformations, cutting onboarding time by 70%.

Eliminating 90% of Manual Data Entry with AI-Powered Document Intelligence

Enterprises processing thousands of invoices, purchase orders, and receipts face a data entry bottleneck. Different vendors use different formats. Manual extraction is slow, error-prone, and expensive. Red Buffer built a document intelligence pipeline that parses diverse formats, extracts structured data, and feeds it directly into ERP and finance systems.

Automating Thousands of Daily Customer Conversations Across Five Channels

Consumer brands operating across social media, messaging apps, and web chat face a support scaling problem, each channel generates its own stream of inquiries that human teams can't handle cost-effectively at volume. Red Buffer built an AI assistant that automates conversations, accesses real-time order data, and hands off to humans when needed.

What Our Clients Say

Our clients put our solutions to the test every day. These are their experiences in their own words.

”They were highly affordable for the talent they had.
AnonymousCEO, Food Technology Company

”It was more than just a job; the success of the project meant something to them.
Rick BakerCEO, Tech Street

”"We’re delighted with their work. Their help has enabled us to grow."
AnonymousCEO, Digital Energy Solutions Company