C3 AI vs Zendesk

Uses machine learning to detect suspicious financial activity.

C3 AI Asset Connect creates digital representations of physical assets and retrieves asset information.

Provides logistics visibility and scenario analysis powered by AI.

Synthesizes intelligence sources to support domain awareness and battle management.

Automatically generates demand forecasts using continuously learning AI models.

Uses AI to manage ESG performance and draft reports.

Uses AI forecasts and recommendations to reduce energy consumption.

Unifies data sources and provides AI insights, threat alerts, and anomaly alerts.

Predicts demand uncertainty and supplier delays to generate reorder recommendations.

Provides AI-driven control setpoint recommendations for manufacturing processes.

Uses AI optimization to create production schedules that adapt in real time.

Uses AI to generate property market valuations and sales comparable adjustments.

Detects early signs of fleet equipment degradation and recommends risk mitigation actions.

Uses AI-enabled predictive maintenance to predict equipment failures.

Detects procurement pricing anomalies and surfaces savings opportunities.

Uses AI agents to run supply chain scenarios and respond to disruptions.

Uses AI to detect supply network risks and evaluate disruption scenarios.

C3 Generative AI for Constituent Services processes constituent inquiries and generates draft responses.

C3 Law Enforcement is an application that searches and aggregates law-enforcement records across source systems and uses artificial intelligence to evaluate data and create summaries.

Low-code and full-code workspace on the C3 Agentic AI Platform where engineers and business analysts design, build, test and deploy AI applications and agents, with an application canvas, a Visual Studio Code extension and natural-language dashboard generation.

Agentic application builder within the C3 Agentic AI Platform: describe an enterprise AI application in natural language and AI agents design, build, test and deploy it, with data pipelines, models, workflows, user interface and security controls generated.

AI analytics assistant inside Zendesk that answers service questions asked in plain language, finds root causes with statistical checks and cited insights, and keeps a Context Graph of past analyses and metric definitions.

An AI assistant that helps Zendesk administrators manage operations and configure their environment.

Contact-centre add-on on the Zendesk Resolution Platform that puts voice, digital and self-service in one agent workspace; its Voice AI agents understand caller intent, apply the company's policies and resolve calls end to end, while Voice Copilot takes notes, summarises and reads sentiment in real time for human agents.

An AI assistant add-on for Zendesk that gives human support agents in-workspace guidance, auto-assist suggestions and intelligent triage, and gives admins proactive workflow recommendations.

AI-assisted knowledge-base building and maintenance: unifies service and third-party content, generates ready-to-use articles, and grounds AI/human agents with a single knowledge foundation.

An AI-powered support QA add-on that auto-scores human and AI agent conversations via AutoQA, flags high-risk interactions with Spotlight, and drives targeted coaching.

Forecasting and scheduling add-on for Zendesk support teams: it analyses a team's historical ticket data to predict how many agents a day, month or season will need, builds schedules down to the minute, and tracks what agents are working on in real time.

Generative-AI app builder in Zendesk: describe a support workflow in plain language and it generates the app's code, layout and functionality, with a live preview, version history and a test environment on real Zendesk data.