Box vs SAP

No-code agentic workflow-automation platform that orchestrates intelligent content workflows -- contract approvals, claims processing, document routing -- combining AI agents, data extraction and document processing end to end.

Agentic data extraction service that pulls structured fields from documents, spreadsheets, images and video in Box using OCR and reasoning models, and writes the results back as Box metadata or returns them via API.

Agents built on the Box platform that combine frontier models from OpenAI, Anthropic and Google with an organization's own content, automating multi-step tasks such as threat analysis and contract review while respecting Box's enterprise permissions.

Model Context Protocol server that lets external AI agents search, read and extract metadata from content in Box while enforcing the calling user's existing Box permissions, available as a Box-hosted remote server and as a self-hosted Python project.

Generative AI layer across Box's content platform that answers questions over stored documents, summarizes files and folders, and extracts structured data from contracts and forms; agentic, multi-step work is Box AI Agents, recorded separately.

Natural-language generative-AI copilot embedded across SAP's cloud applications, answering questions and taking actions across HR, finance, supply chain, procurement and customer-experience data.

Embedded machine learning that automates matching of incoming payments to open invoices in accounts receivable, learning continuously from accountants' correction behaviour.

End-to-end intelligent document processing for structured and unstructured business documents, using OCR, pretrained transformers and LLMs to extract and validate data, embedded across SAP applications such as Ariba, S/4HANA Cloud and Concur.

AI assistance for consultants working on SAP implementation and cloud-transformation projects, grounded in a knowledge base of SAP-focused content.

AI agents encoded with SAP business-process expertise that automate workflows at scale, coordinated by context-aware assistants across finance, supply chain, spend management, HR and customer-experience functions.

A unified workspace where people describe a goal in natural language and Joule surfaces insights, automates routine work and coordinates Joule Agents across SAP and non-SAP systems, available as web, desktop and mobile apps.

SAP's AI-first development environment for building custom AI agents, apps and workflows with low-code and pro-code tools, powered by the SAP Business AI Platform.

Embedded AI capabilities in SAP Build and ABAP Cloud that generate application code, data models, tests and UI from natural-language prompts, including an SAP-trained ABAP large language model.

Vendor-agnostic command center for discovering, inventorying, governing and evaluating AI agents, LLMs and MCP servers across SAP, Microsoft, Google, AWS, Databricks and ServiceNow, with observability, identity/access control and agent mining.

Centralized AI lifecycle management across multiple SAP AI Core runtime instances -- resource groups, generative AI prompt lifecycle, model training/deployment and consumption analytics for SAP BTP.

Unifies and governs SAP and third-party data via a business data fabric, providing the trusted data foundation for agentic AI (Joule Agents); bundles SAP Analytics Cloud, Datasphere, Business Warehouse, Databricks, HANA Cloud and Master Data Governance under one data platform.

Centralized platform for accessing SAP and third-party generative AI models through SAP AI Core, with prompt experimentation, orchestration and inference observability for building enterprise AI applications.