Frequently Asked Questions
This FAQ explains how enterprises use Day2 AI to securely build, deploy, and scale AI agents and applications.
What is Day2 AI?
Day2 AI is a secure enterprise platform that helps organizations build, deploy, and manage AI agents and AI-powered applications. It provides centralized governance, security controls, and deployment flexibility across cloud, private cloud, or on-prem environments.
Who is Day2 AI built for?
Day2 AI is designed for enterprise teams such as product, engineering, operations, customer support, marketing, and internal IT teams that need to deploy AI solutions securely and at scale, without exposing sensitive data.
How does Day2 AI help enterprises build and deploy AI agents?
Day2 AI supports enterprises through: Use-case discovery and solution design, Custom AI agent or application development, Secure integration with internal systems and data, Deployment, monitoring, and ongoing support. Organizations can deploy both custom-built solutions and pre-configured AI workflows.
How long does it take to deploy an AI agent?
A typical AI agent deployment takes 4-8 weeks, depending on: Complexity of the use case, Number of integrations required, Deployment environment (cloud, private cloud, on-prem). Simple pilots or proofs of concept may be delivered faster.
How does Day2 AI handle security and data privacy?
Day2 AI is built with enterprise-grade security in mind, including: Role-based access control (RBAC), Secure API-based integrations, Encryption of data in transit and at rest, Support for enterprise security frameworks and compliance requirements. Customer data remains under customer control at all times.
Can Day2 AI run on-premise or in a private cloud?
Yes. Day2 AI supports on-premise, private cloud, and hybrid deployments, allowing enterprises to meet internal security, regulatory, and data residency requirements.
What systems and tools can Day2 AI integrate with?
Day2 AI can integrate with: Internal databases and knowledge systems, Enterprise tools such as CRM, ticketing, and collaboration platforms, APIs, data warehouses, and internal services. Integrations are designed to align with existing enterprise architecture.