Governed AgenticSearch
A necessary tool for a reliable AI
A framework built to overcome traditional AI search limitations by combining knowledge orchestration, governance, and information validation into one cohesive system.It transforms fragmented data and scattered information into reliable, contextualized insights, ready to power faster and more informed decisions.
From Knowledge Management to Sovereign AI Orchestration
Organizations manage information across documents, databases, knowledge bases, enterprise systems, and connected tools. Governed Agentic Search orchestrates these resources to generate context-aware responses grounded in trusted information. At its core, an AI Orchestrator coordinates specialized agents, semantic retrieval, enterprise tools, and MCP-connected services while maintaining a clear separation between reasoning and execution. This approach improves traceability, control, and response quality.
Features
Separation of Reasoning & Execution
A two-layer architecture separates request analysis and orchestration from final response generation, improving control, monitoring, and transparency throughout the decision-making process.
1
Governance by Design
Validation layers, reflexive controls, and compliance criteria verify the quality, consistency, and reliability of responses before they reach the user.
2
Adaptive Agent Orchestration
The orchestrator dynamically selects agents, tools, services, and workflows based on the context, intent, and nature of each request.
3
Unified Knowledge Access
Documents, APIs, databases, enterprise systems, and repositories are integrated into a single interaction layer, reducing information fragmentation and simplifying access to knowledge.
4
Benefits
Reliable Responses
The combination of trusted sources, continuous validation, and embedded governance helps reduce hallucinations and improve the quality of AI interactions.
Sovereign AI Enablement
The governed approach helps organizations maintain control over information processes, decision flows, compliance requirements, and corporate policies.
Faster Access
A single conversational experience enables users to access and explore distributed information assets without needing to understand the underlying systems.
Greater Control
The separation between reasoning and execution increases decision traceability and simplifies monitoring, auditing, and risk management activities.
A New Architecture for Intelligent Search and Knowledge
With AIWave Studio, Prisma and Sfera, Almawave provides an integrated ecosystem for implementing Governed Agentic Search solutions, an approach that combines semantic search, generative Artificial Intelligence, and multi-agent architectures to unlock the value of enterprise knowledge assets. Applications configured through AIWave Studio can be published and made available to end users through Application Hub, the access portal for the ecosystem’s SaaS services.
Prisma
The Conversational Search Experience.
Prisma is the Conversational Search application that combines semantic search and generative AI, enabling users to query enterprise knowledge using natural language. By integrating search and conversation into a single experience, Prisma allows users to identify and select the sources and documents used to generate responses, ensuring greater control, transparency, and explainability of results. Through the collaboration of AI agents specialized in information retrieval, Prisma can identify relevant content from multiple sources, provide supporting evidence, and support advanced research processes with high levels of accuracy and verifiability.
Sfera
Multi-Agent AI Assistant.
Sfera is the multi-agent AI assistant designed to make distributed organizational knowledge easily accessible. By integrating documents, data, and enterprise systems, Sfera leverages collaborative AI agents to understand users’ operational context, orchestrate access to information, and deliver reliable, contextualized, and traceable responses. In doing so, it transforms enterprise knowledge assets into a practical tool that supports both operational activities and decision-making processes.
AIWave Studio
Designing and Orchestrating AI Applications.
At the core of the ecosystem is AIWave Studio, the no-code and low-code environment that enables organizations to design, configure, and govern customized implementations of Prisma and Sfera. Through graphical workflows, information source integration, agent configuration, and process orchestration, organizations can create tailored AI applications that address specific business needs. These applications can then be published and made available to end users through Application Hub, the access portal for AIWave ecosystem SaaS services.