BackOps AI

What BackOps AI does

BackOps AI provides an AI-native operating system for supply chain logistics that transforms internal processes into always-on automation across legacy systems, vendor portals, manual tools, and tribal knowledge. It allows teams to record workflows, analyze data to surface repeatable processes, and execute workflows autonomously using AI agents. The platform, Relay, is designed to handle complex, manual back-office operations by ingesting SOPs, learning processes, and deploying agents across various systems like web portals, carrier APIs, ERPs, email, and Slack. It also includes features for human approval and escalation paths, ensuring control and accountability. BackOps aims to move companies from labor-driven execution to automated workflows, reducing delays, errors, and operational overhead.

Products

• RelayAn AI-native operations platform built for the complexity of real back-office work. It ingests SOPs, learns processes, and deploys agents that execute across systems like web portals, carrier APIs, ERPs, email, and Slack. Relay acts as an operations OS, a living system of record for how teams work, and an execution engine.

Key capabilities

• AI-native operating system
• Workflow Recorder to capture live workflows across systems, portals, email, and spreadsheets
• Analysis of historical tickets and email threads to surface repeatable workflows and coordination patterns
• Autonomous execution of workflows via AI agents
• Orchestration across departments (CS, Ops, Finance, Sales)
• Configurable human approval and escalation paths
• Multi-system coordination across ERP, email, and carrier systems
• OCR & document intelligence for extracting data from various documents (POs, invoices, email attachments, BOLs, compliance forms, PDFs)
• Browser automation for interacting with legacy ERP systems and vendor portals without APIs
• Approvals & guardrails for human sign-off on modifications above defined thresholds
• Single-customer isolated environment for data security
• Encrypted data in transit and at rest
• Customer-controlled identity with SSO/MFA and least-privilege access
• Support for SOC 2 Type II, ISO 27001, and GDPR
• Integration with OpenAI, Anthropic, Gemini, and BackOps self-hosted models for scoped reasoning and drafting
• Queryable audit trail for AI traces
• Human review, version history, and controlled channels for approvals and feedback
• 24/7 passive monitoring of carrier systems and email channels

Use cases

• Order management (full order lifecycle: status checks, modifications, address changes, reshipments, exception resolution)
• Claims management (detecting triggers, gathering evidence, filing claims on carrier portals, tracking to resolution, filing appeals)
• Shipment visibility and tracking (tracking containers and shipments across carriers, detecting delays, updating systems, alerting customers proactively)
• Accounts Payable (capturing invoices, extracting fields via OCR, three-way matching, routing for approval, posting to ERP)
• Document processing (reading BOLs, invoices, compliance forms, scanned PDFs, email attachments, extracting structured data, validating, routing into workflows)
• Inbound request resolution (parsing intent from email, phone, chat, portal; matching to data; resolving or escalating)
• Manufacturing operations (automating order entry, compliance documentation, vendor coordination across production and distribution networks)
• RFQ processing (sending RFQs, parsing responses, building comparisons, flagging anomalies)
• Grocery operations (handling temperature-sensitive claims, delivery exceptions, reshipments for perishable supply chains; vendor compliance, receiving exceptions, cold-chain integrity, claims)
• 3PLs and 4PLs (orchestrating operations across multiple clients, carriers, and systems; exception handling, document processing for WMS/TMS/brokerage platforms)

AI approach

BackOps AI provides an AI-native operating system for supply chain logistics, transforming internal processes into automation across legacy systems, vendor portals, manual tools, and tribal knowledge. It uses AI agents to record workflows, analyze data from historical tickets and email threads, and autonomously execute tasks like parsing emails, pulling ERP data, filing claims, and updating records. The platform leverages OCR and document intelligence to extract data from various documents and uses browser automation to interact with systems without APIs. It utilizes models from OpenAI, Anthropic, Gemini, and its own self-hosted models for scoped reasoning and drafting.

Tech named: AI-native operating system, Workflow Recorder, AI Agents, OCR & document intelligence, Browser automation, OpenAI, Anthropic, Gemini, BackOps self-hosted models

Industries served

• Supply Chain Logistics
• Wholesale Distribution
• Grocery
• Manufacturing
• 3PLs
• 4PLs

What it says sets it apart

• AI-native operating layer for modern operations
• Transforms complex, manual workflows into structured, always-on execution
• Learns processes and deploys agents across various systems, including those without APIs (via browser automation)
• Not a chatbot bolted onto workflows, but an operations OS and execution engine
• Forward-deployed team model for hands-on partnership with operations teams from day one
• Focus on real-world operational complexity and messiness, unlike rigid automation tools
• Single-customer isolated environment for data security and privacy
• Data never used to train models for other customers
• Comprehensive security certifications (SOC 2 Type II, ISO 27001, GDPR support)

Funding rounds we track

From the AI funding tracker — rounds as reported by the linked publications.