Workflow Automation & AI Agents

Many business workflows still depend on people copying data between systems, chasing approvals, and performing repetitive checks. We build AI agents that handle these multi-step processes end-to-end from intake to decision to output while keeping humans in the loop where judgment matters. Property inspection, patient intake, credit assessment.

Put your teams on steroids with AI assistants

Equip your teams with AI assistants that understand context, generate relevant outputs, and seamlessly operate across your tools.

Connect domain knowledge with real-time system actions across CRM, ERP, and ticketing

Draft reports, responses, and briefs grounded in verified enterprise data

Ensure accuracy, traceability, and compliance through built-in permissions and logs

Measure and improve response quality in real-time with feedback-driven learning

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Case Studies

Explore how our solutions have driven real results, from powering innovation in fintech to enabling $60M+ in funding and 3 successful exits.

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All Computer Vision Conversational AI and Chatbots Custom Agentic AI Solutions Data Engineering & Integrations DevOps & Cloud Platform Engineering Document Intelligence & Contract Insights Generative AI Knowledge & Workflow Assistants MLOps (Models, Prompts, Evaluation)Predictive Analytics

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.

Digitizing Property Tax Collection with Satellite-Based Computer Vision

Governments can't tax properties they don't know exist. Manual surveys miss buildings, field workflows rely on paper, and supervisors lack real-time visibility. Red Buffer built an AI system that detects properties from satellite imagery, assigns them to field officers automatically, and tracks collection progress in real time.

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.

Reducing Enterprise Cloud Costs by 25% with AI-Driven Forecasting and Anomaly Detection

Enterprise cloud spending grows faster than most organizations can track. Cost spikes go undetected until the monthly bill arrives, and inconsistent resource tagging makes team-level attribution impossible. Red Buffer built the AI/ML core of a platform that forecasts spend, catches anomalies in real time, and auto-tags resources across AWS, Azure, and GCP.

Cutting Safety Content Creation from Weeks to Hours with RAG-Powered Automation

Safety-critical industries maintain extensive libraries of checklists, instructional content, and visual guidelines all requiring constant updates for regulatory compliance. Manual creation takes weeks per deliverable. Red Buffer built a RAG-powered platform that generates, manages, and visually illustrates safety content automatically.

Reducing ML Model Deployment from Days to Minutes with Automated MLOps

Teams that train models in hours often spend days deploying them. Containerization, API generation, GPU allocation, and monitoring create friction that slows every release. Red Buffer built an automated MLOps platform that takes any ML model - pre-trained or custom from upload to production-ready API in minutes.

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