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Single search experience across enterprise systems
Search across documents, data, people, and knowledge bases
Eliminate application-specific search silos
AIssist is an enterprise platform designed to help organizations work smarter with AI. It brings intelligence, search, and action together in one secure layer—so teams can find information, make decisions, and execute tasks across systems without switching tools. Built to fit into existing enterprise environments, AIssist connects data, applies controls, and supports consistent execution at scale.
Access agents, take action, and get answers without switching applications or managing multiple logins.

We implemented an AI-powered document management system to centralize customer-facing documents and enable semantic search and contextual retrieval. Customer service teams were able to answer queries faster using natural language search, improving first-call resolution while maintaining regulatory compliance.

We implemented an AI-driven document management system to ingest, classify, and manage operational and compliance-critical documents. The solution enabled semantic search, workflow-driven approvals, version control, and retention management, improving audit readiness and information governance.
Understand enterprise systems, content sources, and access models.
Define enterprise search architecture, AI capabilities, and security controls.
Implement AI-powered enterprise search on the Saxon AI platform.
Connect search with enterprise applications and workflows.
Continuously improve relevance, performance, and adoption.
Enterprise Search is a foundational intelligence layer that enables users and AI systems to access trusted enterprise knowledge with context, security, and traceability built in.
It connects enterprise systems, data, and content into a single search experience and delivers answers that can be trusted and acted upon across business workflows.
Traditional enterprise search focuses on indexing content and returning ranked documents. Saxon’s Enterprise Search is designed to enable understanding and decision making. It reasons across systems, applies enterprise context and permissions at every step, and delivers grounded answers rather than simple content lists.
Enterprise Search works across both structured and unstructured knowledge, including:
This ensures search reflects how enterprises actually operate.
All answers are grounded in authorized enterprise data.
Enterprise Search validates permissions before retrieval, cross-checks information across sources, and maintains traceability back to original systems and content. Users and AI agents can always understand where an answer came from.
Enterprise Graph is the context layer that models relationships across enterprise data, systems, processes, and people.
It helps Enterprise Search understand how information is connected, which sources are authoritative, and how relevance should be determined for a specific user or workflow. This allows search to move beyond keyword matching and deliver context-aware, trustworthy answers that align with how the enterprise actually operates.
Yes. Search results adapt based on who is searching, what they are working on, and what information is relevant in that context. This includes role, team, permissions, active workflows, and source authority, which helps reduce noise and improve relevance.
Yes. Enterprise Search supports natural language questions, follow-up queries, summaries, and comparisons.
Users can explore information conversationally and refine results without starting over, making search more intuitive and productive.
Yes. Enterprise Search supports both indexed content and live system queries.
This allows users and AI agents to retrieve real-time operational data such as status, metrics, or transactional details while balancing performance and freshness.