SAP vs Uniphore

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.

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.

Connects a company's SAP data fabric to AI for grounded, hallucination-resistant answers; grounds Joule and other AI services in customer business context, with pre-populated knowledge graphs for SAP solutions.

A cloud-native enterprise communication recording application that captures voice and screen data, marketed as the capture layer that makes conversation data available to AI. It records uncompressed stereo audio with multi-channel support, includes transcription, and provides customizable policy engines for recording, retention, storage and export alongside MiFID II, Dodd-Frank, PCI DSS and GDPR compliance controls.

A generative-AI conversational intelligence application that analyses 100% of customer conversations to surface trends, sentiment and actionable insights. It automates QA scoring across all calls rather than manual sampling, and surfaces emerging call drivers beyond predefined categories.

An AI agent-assist application that gives contact centre agents in-call support: pre-call intelligence pulled from CRM and past interactions, knowledge assist that delivers contextual answers without manual search, generative conversation summaries with disposition capture, and sentiment detection. A manager dashboard provides live transcription and real-time performance alerts.

An AI recruiting application that summarises resumes and job descriptions, suggests interview questions, and provides real-time co-pilot guidance to interviewers based on candidate background and role requirements. Generative AI automates the creation of interview questions, summaries and notes.

An enterprise sales AI application that analyses the visual, verbal and tonal cues of every sales interaction to surface deal insights and automate administrative work. It provides real-time meeting assistance using emotion AI and generative AI, buyer sentiment and engagement analysis, sales methodology adherence tracking, a searchable sales knowledge base, and AI coaching.

A conversational automation application providing virtual agents across voice and digital channels. It includes emotion AI for sentiment detection and empathetic response, multilingual support with automatic language detection, a no-code conversation designer for business users, and generative-AI training that auto-generates intent phrases.

Builds and orchestrates enterprise AI agents with visual workflows, an orchestration engine and third-party agent integration.

A four-layer enterprise AI platform — data, knowledge, model and agentic layers — meant to unify what a large company already has rather than replace it.

Connects and governs enterprise data for AI without copying it.

Prepares enterprise knowledge for retrieval and model tuning.

Predicts customer behavior and automates marketing execution.

Manages model inference, fine-tuning and orchestration.

An AI-first, composable customer data platform that connects to existing data warehouses without migration using a zero-copy architecture. It provides AI-powered audience segmentation, journey orchestration, identity resolution across anonymous and known customers, and omnichannel campaign activation. This is the productised form of the acquired ActionIQ platform.