KumuluzAI Platform

The AgenticAI platform for secure enterprise automation

KumuluzAI helps organizations build, manage and operate secure, governed and production-ready AI agents on a common enterprise platform.

Move beyond isolated chatbots and experiments. KumuluzAI is a platform foundation for AI agents, enterprise knowledge, tool integration, human approvals, model routing, auditability, cost control and centralized governance.

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Cybergrid
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Energetika Ljubljana
Gen I
Giz
Ministry Justice
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AI experiments are easy. Enterprise AI platforms are hard.

Many organizations start their AI journey with individual assistants, document chatbots or departmental proofs of concept. These can create early value, but they often grow into fragmented solutions that are difficult to secure, govern, integrate and scale.

Each AI initiative may introduce its own model access, knowledge base, prompts, tools, integrations, user permissions, cost structure and audit trail. Over time, this creates another layer of technology silos.

KumuluzAI solves this by providing a common platform foundation for enterprise AI agents and assistants — so organizations can reuse knowledge, tools, policies, integrations and governance across multiple AI use cases.

Fragmented AI assistants

Different teams build separate AI solutions with different architectures, vendors, knowledge bases and security models.

Lack of governance

Without a platform, it is difficult to manage who can use which agent, which tools it can access and what actions it can perform.

Uncontrolled knowledge access

AI agents need access to enterprise knowledge, but this must respect permissions, data sensitivity and source traceability.

Hard-to-audit AI decisions

Enterprise AI must be explainable and traceable enough to understand what happened, which sources were used and which tools were called.

Rising AI costs

Without central model routing, budgets and usage control, AI costs can grow unpredictably across teams and departments.

Limited production readiness

AI prototypes often lack lifecycle management, observability, approval workflows, secure deployment and operational control.

One platform foundation for enterprise AI agents

KumuluzAI is an AgenticAI platform for building AI agents, assistants and AI-powered business applications that can operate safely in enterprise environments.

It brings together the core capabilities needed for production AI adoption: agent runtime, orchestration, RAG, enterprise knowledge access, tool integration, model routing, identity, guardrails, human-in-the-loop workflows, auditability, cost control and centralized management.

Instead of building a separate AI stack for every use case, KumuluzAI gives organizations a reusable foundation for multiple agents, departments, business processes and digital channels.

Build once, reuse across use cases

Reuse knowledge sources, tools, policies, prompts, integrations and platform services across many AI agents and assistants.

Govern AI centrally

Manage agents, users, permissions, policies, tools, costs and audit trails from a common platform layer.

Integrate with enterprise systems

Connect agents to APIs, applications, document repositories, databases and business systems under controlled access.

Operate AI in production

Deploy AI agents with observability, approvals, cost monitoring, security controls and lifecycle management.

What you can build with KumuluzAI

KumuluzAI supports multiple types of enterprise AI use cases — from focused assistants to advanced agentic process automation.

Enterprise AI agents

Build AI agents that can understand user intent, retrieve enterprise knowledge, call tools, interact with systems and support business processes.

Examples

  • Claims processing support
  • Internal service desk agents
  • HR and legal knowledge agents
  • Compliance support agents
  • Customer support automation
  • Operational process assistants

Agentic process automation

Automate multi-step business workflows where AI agents coordinate tasks, use tools, retrieve information and involve humans when needed.

Examples

  • Document review and routing
  • Customer onboarding support
  • Case preparation
  • Internal approvals
  • Ticket classification and enrichment
  • Knowledge-based decision support

RAG and enterprise knowledge solutions

Connect AI assistants and agents to approved enterprise knowledge sources while preserving source traceability, access control and governance.

Examples

  • Policy and procedure search
  • Product knowledge support
  • Technical documentation assistance
  • Employee onboarding
  • Knowledge base modernization
  • Document-heavy process support

AI assistants for customers and employees

Deploy AI assistants that help users access information, complete tasks and navigate digital services through a conversational interface.

Examples

  • Customer-facing support assistants
  • Internal employee assistants
  • Digital portal assistants
  • Service navigation assistants
  • FAQ and knowledge assistants

AI-enabled enterprise applications

Embed AI capabilities into existing business applications, portals and workflows using platform-managed agents, tools and knowledge sources.

Examples

  • AI in customer portals
  • AI in internal business applications
  • AI-assisted case management
  • AI-powered search and recommendations
  • AI-enhanced digital products

Core platform capabilities

KumuluzAI provides the platform building blocks needed to create, govern and operate AI agents in enterprise environments.

Agent runtime and orchestration

KumuluzAI provides the runtime foundation for AI agents and multi-agent workflows. Agents can reason, retrieve knowledge, use tools, call APIs and support multi-step business tasks.

Key capabilities

  • AI agent runtime
  • Multi-step agent workflows
  • Agent orchestration
  • Tool-using agents
  • Task planning and execution
  • Reusable agent templates
  • Agent lifecycle management

Enterprise knowledge and RAG

KumuluzAI enables agents to access enterprise knowledge through controlled retrieval-augmented generation patterns. Organizations can connect documents, procedures, policies, knowledge bases and other approved sources while maintaining traceability and access control.

Key capabilities

  • RAG pipelines
  • Enterprise knowledge connectors
  • Document ingestion and indexing
  • Vector search and semantic retrieval
  • Source attribution
  • Permission-aware knowledge access
  • Knowledge base management

Tool and system integration

AI agents become truly useful when they can interact with enterprise tools and systems. KumuluzAI enables controlled tool use, API calls and integration with business systems.

Key capabilities

  • Tool registry
  • API and system integration
  • MCP-ready tool integration patterns
  • Function and tool calling
  • Approval-controlled tool execution
  • Least-privilege access to tools
  • Integration with enterprise workflows

Model gateway and routing

KumuluzAI helps organizations manage access to different AI models through a controlled model gateway. This allows teams to use the right model for the right task while maintaining control over cost, providers, data handling and routing policies.

Key capabilities

  • Model provider abstraction
  • Routing between external and self-hosted models
  • Model selection policies
  • Cost and usage tracking
  • Budget controls
  • Fallback strategies
  • Hybrid LLM deployment support

Security and guardrails

KumuluzAI includes security and guardrail capabilities that help protect enterprise AI interactions and reduce operational risk.

Key capabilities

  • Prompt shielding
  • Input and output validation
  • PII and sensitive data handling
  • Policy-based tool access
  • Safe execution boundaries
  • Content moderation patterns
  • Guardrails for AI actions

Identity and access control

Enterprise AI agents must respect organizational identity, roles and permissions. KumuluzAI supports identity-aware access to agents, knowledge and tools.

Key capabilities

  • Enterprise identity integration
  • User and role-based access
  • Agent-level permissions
  • Tool-level authorization
  • Knowledge access control
  • Identity propagation
  • Audit-ready access history

Human-in-the-loop workflows

Not every AI action should happen automatically. KumuluzAI supports human review, approval and intervention for sensitive decisions or actions.

Key capabilities

  • Approval workflows
  • Human review checkpoints
  • Escalation patterns
  • Manual override
  • Sensitive action approval
  • Decision traceability
  • Business process control

Auditability and traceability

KumuluzAI helps organizations understand what happened in an AI interaction: which user started it, what the agent did, which sources were used and which tools were called.

Key capabilities

  • Agent session history
  • Tool call logs
  • Knowledge retrieval traceability
  • Prompt and response tracking
  • User and identity traceability
  • Decision and approval history
  • Compliance-supporting audit trails

Observability and cost control

KumuluzAI gives teams visibility into AI usage, performance, costs and operational behavior.

Key capabilities

  • Usage monitoring
  • Cost tracking
  • Token and model usage visibility
  • Agent performance metrics
  • Error and failure visibility
  • Operational dashboards
  • Continuous improvement feedback loops

Management console

KumuluzAI provides centralized management for agents, tools, knowledge sources, prompts, policies, approvals, usage and audit trails.

Key capabilities

  • Agent management
  • Tool management
  • Knowledge source management
  • Prompt and configuration management
  • Policy configuration
  • Approval management
  • Audit and usage overview

A platform architecture for production Agentic AI

KumuluzAI is designed as a platform layer between users, AI models, enterprise systems and operational governance.

It allows organizations to manage AI agents centrally while integrating with existing applications, data sources, identity providers, APIs and deployment environments.

User and channel layer

Connect AI agents to internal portals, customer channels, business applications, chat interfaces and digital services.

Agent orchestration layer

Manage agent behavior, workflows, task execution, tool use, memory patterns and process-specific logic.

Knowledge layer

Connect approved enterprise knowledge sources through RAG, indexing, semantic search and permission-aware retrieval.

Tool integration layer

Expose APIs, tools and enterprise systems to agents through controlled, auditable and policy-based access.

Model gateway layer

Route AI requests to selected models, providers or self-hosted deployments based on policies, cost, performance or data requirements.

Governance and control layer

Apply identity, authorization, guardrails, human approvals, auditability, observability and cost control across the platform.

Designed for enterprise deployment

KumuluzAI is built for organizations that need control over data, identity, security, deployment and operations.

The platform can support deployment models where AI capabilities run in dedicated customer environments, integrate with enterprise systems and follow organizational governance requirements.

Single-tenant deployment

Deploy KumuluzAI in a dedicated environment to support isolation, data residency and enterprise control.

Cloud, hybrid or on-premise

Support deployment across cloud platforms, private infrastructure and Kubernetes-based enterprise environments.

Kubernetes and OpenShift-ready

Run KumuluzAI in modern containerized environments aligned with enterprise platform engineering practices.

Model flexibility

Use external model providers, private model deployments or hybrid model routing depending on business, cost and data requirements.

Enterprise integrations

Integrate with identity providers, APIs, document repositories, databases, business applications and operational systems.

Operational readiness

Support monitoring, auditability, usage visibility, lifecycle management and production-grade operations.

Governance and control from the beginning

Enterprise AI requires more than model access. Organizations need to know who used an AI agent, what it did, which data it accessed, which tools it called and whether sensitive actions were approved.

KumuluzAI is designed to make governance part of the platform foundation — not an afterthought added after pilots become production systems.

Identity-aware AI

Agents operate with user context, roles and permissions instead of generic access to everything.

Controlled tool use

Agents can only use approved tools and APIs under defined policies and access rules.

Permission-aware knowledge

Knowledge retrieval respects organizational access control and data sensitivity.

Human approvals

Sensitive actions can require human review before execution.

Audit trails

AI interactions, retrievals, tool calls and approvals can be traced for review and compliance support.

Cost and usage governance

AI consumption can be monitored, attributed and controlled across agents, teams and use cases.

AI assistants and knowledge accelerators

KumuluzAI supports advanced Agentic AI platforms, but it can also power focused AI assistant solutions for organizations that want to start with practical, high-value use cases. These solutions can be deployed as standalone AI assistant implementations or as part of a broader KumuluzAI platform roadmap.

AI Smart Assistant

AI Smart Assistant helps users access information, answer questions, navigate digital services and complete simple tasks through a conversational interface. It can be used in customer-facing channels, employee portals, support environments or digital products where users need fast access to relevant information. Best for customer support, employee assistance, digital service navigation, internal helpdesk support, FAQ automation and first AI use cases.

Key capabilities

  • Conversational interface
  • Enterprise knowledge access
  • Natural language search
  • Contextual answers
  • Integration with digital services
  • Optional handover to human support

AI Knowledge Mentor

AI Knowledge Mentor helps organizations make internal documentation, procedures, policies and learning materials easier to access and understand. It is especially useful in document-heavy environments where employees need guidance, onboarding support or fast access to organizational knowledge. Best for employee onboarding, knowledge management, training and enablement, internal procedures, policy guidance and document-heavy business processes.

Key capabilities

  • Knowledge search
  • Document understanding
  • Guided answers
  • Source-aware responses
  • Learning and onboarding support
  • Internal knowledge assistance

Where KumuluzAI fits

KumuluzAI is designed for organizations where AI must work with real processes, enterprise knowledge, existing systems, security requirements and operational control.

Insurance

Claims support, policy knowledge, process automation, customer assistance and internal knowledge agents.

Banking and financial services

Customer support, KYC assistance, compliance knowledge, internal service agents and process automation.

Public sector

Document-heavy workflows, citizen support, case preparation, internal knowledge access and administrative assistance.

Energy and utilities

Operational knowledge, customer service, field support, regulatory documentation and process assistance.

Manufacturing and enterprise services

Product knowledge, service support, partner assistance, internal operations and business process automation.

Technology and digital platforms

AI-enabled applications, developer assistants, platform automation and AI-powered digital products.

Why KumuluzAI

Platform, not isolated AI projects

KumuluzAI helps organizations avoid fragmented AI silos by providing a shared foundation for agents, knowledge, tools, governance and operations.

Built for enterprise environments

Security, identity, permissions, auditability, human approvals, deployment flexibility and cost control are designed into the platform.

Agentic automation beyond chat

KumuluzAI supports AI agents that can use knowledge, call tools, interact with systems and support business workflows — not only answer questions.

Flexible model strategy

Organizations can use external providers, private models or hybrid model routing depending on task, cost, performance and data requirements.

Delivered by Sunesis

KumuluzAI is developed by Sunesis, combining platform product development with enterprise software engineering, integration, DevOps and AI delivery experience.

How organizations start with KumuluzAI

KumuluzAI can be introduced gradually. Organizations can start with a focused assistant or knowledge use case and evolve toward a broader AgenticAI platform over time.

1

Identify high-value AI use cases

We help identify processes, knowledge areas and user journeys where AI agents can create measurable value.

2

Connect enterprise knowledge

Approved documents, procedures, knowledge bases and data sources are connected through controlled retrieval and access patterns.

3

Define agents, tools and guardrails

Agents are configured with goals, tools, permissions, prompts, safety controls and escalation rules.

4

Integrate with enterprise systems

KumuluzAI connects with APIs, business applications, identity providers, document repositories and operational systems.

5

Deploy and govern

The solution is deployed with monitoring, auditability, approvals, access control and usage visibility.

6

Scale across use cases

Additional agents, tools, knowledge sources and workflows can be added to the same platform foundation.

Ready to move from AI experiments to an enterprise AgenticAI platform?

KumuluzAI helps organizations build secure, governed and production-ready AI agents that connect to enterprise knowledge, tools, systems and workflows.

Start with a focused assistant or build a broader platform foundation for enterprise AI automation.