Fragmented AI pilots
Departments create separate AI assistants and agent prototypes that are difficult to reuse, govern or scale.
Agentic AI Platforms
Build governed enterprise platforms for AI agents
AgenticAI can transform how organizations automate processes, support employees, serve customers and connect knowledge with action.
But enterprise AI agents need more than model access — they need a secure platform foundation for knowledge, tools, APIs, workflows, identity, human approvals, auditability, cost control and governance.
Kumuluz helps you build Agentic AI platforms where AI agents reason, retrieve knowledge, use approved tools, call APIs, interact with business systems and participate in deterministic workflows — under enterprise control.
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AI agents need a platform, not another silo
Many organizations start with AI assistants, document chatbots or departmental pilots. These experiments can prove value, but they often create fragmented AI stacks.
Each team may choose different models, prompts, tools, knowledge sources, security rules, access models and cost structures. Some agents may connect directly to backend systems. Others may use separate knowledge bases or unmanaged integrations.
This creates risk: duplicated work, weak governance, inconsistent access control, unclear auditability and limited production readiness.
AgenticAI requires a platform approach. Organizations need shared foundations for agents, knowledge, APIs, tools, workflows, governance and operations.
Uncontrolled tool access
Agents may connect directly to systems or APIs without clear permissions, validation, routing or auditability.
Duplicated knowledge
Teams repeatedly ingest the same documents, procedures and data into separate AI solutions.
Non-deterministic process execution
AI agents can reason and assist, but critical business processes often require defined steps, validations and approvals.
Limited auditability
Organizations need to know which agent acted, which user triggered it, what knowledge was used and which tools were called.
Unclear cost and model governance
Without a platform, model usage, token consumption, routing and provider strategy are difficult to control.
A governed foundation for enterprise AgenticAI
Kumuluz provides a platform-based approach for building enterprise AgenticAI solutions.
At the center is KumuluzAI, which manages agents, knowledge, tools, model routing, guardrails, approvals and auditability. Around it, other Kumuluz products provide the API, business capability and digital platform foundations agents need to operate safely.
Kumuluz API exposes and governs APIs, including MCP and agent integration scenarios. Kumuluz Business APIs provide reusable, agent-ready business capabilities. Kumuluz Digital Platform helps build the services, connectors, MCP-enabled tools and deterministic workflows that agents can safely use.
Together, they create a controlled AgenticAI architecture for production environments.
Govern agents centrally
Manage agents, tools, knowledge sources, permissions, policies, approvals, audit trails and usage from a common platform foundation.
Connect AI to enterprise systems safely
Use APIs, MCP-enabled tools, connectors and Business APIs instead of giving agents direct backend access.
Combine reasoning with deterministic execution
Let AI agents assist, prepare context and suggest actions while workflows execute critical process steps in a predictable way.
Scale beyond one assistant
Reuse knowledge, tools, APIs, business capabilities and workflows across multiple agents, departments and channels.
What an enterprise Agentic AI platform needs
Production AgenticAI requires multiple platform capabilities working together. Kumuluz provides these capabilities through a connected product family.
Agent runtime and orchestration
AI agents need a runtime where they can reason, retrieve knowledge, call tools, follow instructions and execute multi-step tasks.
Supported by
- KumuluzAI Platform
Enterprise knowledge and RAG
Agents must access approved enterprise knowledge with source traceability and permission-aware retrieval.
Supported by
- KumuluzAI Platform
- AI Knowledge Mentor
Tool and API governance
Agents need controlled access to APIs, tools and business systems.
Supported by
- Kumuluz API
- Kumuluz Business APIs
- Kumuluz Digital Platform
MCP-enabled integration
Enterprise capabilities can be exposed to agents through MCP-oriented tool patterns and MCP server integrations.
Supported by
- Kumuluz API
- Kumuluz Digital Platform
- Kumuluz Business APIs
Deterministic workflows
Critical processes need predictable execution, retries, approvals, compensation and audit trails.
Supported by
- Kumuluz Digital Platform
- Kumuluz Business APIs
- Temporal / Camunda integration patterns
Model routing and cost control
Organizations need control over which models are used, how requests are routed and how token usage is monitored.
Supported by
- KumuluzAI Platform
- Kumuluz API
Security, guardrails and approvals
AI interactions require authorization, policy enforcement, input/output validation and human-in-the-loop controls.
Supported by
- KumuluzAI Platform
- Kumuluz API
- Kumuluz Business APIs
Auditability and observability
Organizations need visibility into agent actions, knowledge retrieval, API calls, workflow steps, approvals and token usage.
Supported by
- KumuluzAI Platform
- Kumuluz API
- Kumuluz Digital Platform
AgenticAI reference architecture
A production AgenticAI platform separates reasoning, tools, workflows, APIs and enterprise systems into clear layers.
This avoids direct, uncontrolled access from agents to backend systems and creates a safer architecture for enterprise automation.
Users and channels
Employees, customers, operators, portals, mobile apps, service desks and business applications that interact with AI agents.
KumuluzAI agent layer
AI agents, assistants, RAG, prompts, policies, guardrails, human approvals, agent sessions and model routing.
MCP and tool layer
MCP-enabled tools, agent-callable APIs, connectors, skills and tool metadata exposed under governance.
API management and gateway layer
Kumuluz API manages API catalog, access, routing, monitoring, MCP exposure, LLM routing and token usage logging.
Business capability layer
Kumuluz Business APIs expose reusable business functions such as customer lookup, product data, onboarding, KYC, orders, payments, cases and notifications.
Workflow orchestration layer
Temporal, Camunda or similar engines execute deterministic process steps, approvals, retries and long-running workflows.
Digital platform service layer
Kumuluz Digital Platform provides cloud-native services, APIs, connectors and integration adapters.
Enterprise systems and data
Core systems, ERP, CRM, document repositories, databases, legacy applications, external services and data platforms.
What you can build
Kumuluz AgenticAI platforms can support many enterprise automation and assistance scenarios.
Enterprise service agents
AI agents that help employees or customers resolve service requests, find information and trigger approved actions.
Examples
- Internal service desk agents
- Customer service agents
- HR support agents
- IT support agents
- Policy assistance agents
- Digital portal agents
Knowledge-based process support
AI agents that retrieve enterprise knowledge, prepare context and support complex business processes.
Examples
- Claims preparation
- Compliance support
- Case analysis
- Legal and policy review
- Product support
- Technical documentation assistance
Agentic process automation
AI agents that participate in business workflows and use tools to support multi-step processes.
Examples
- Customer onboarding
- KYC preparation
- Document review and routing
- Case enrichment
- Ticket classification
- Approval preparation
- Process exception handling
AI-enabled digital applications
Add governed AI capabilities into portals, mobile apps, internal systems and business applications.
Examples
- AI in customer portals
- AI-assisted business applications
- AI search and recommendations
- AI-supported forms
- AI-guided user journeys
- AI-enabled digital services
AI agents connected to APIs and workflows
Use Kumuluz API, Business APIs and workflow orchestration to let agents safely interact with enterprise systems.
Examples
- Agent calls customer data API
- Agent checks order status
- Agent starts onboarding workflow
- Agent prepares KYC case
- Agent triggers approval process
- Agent retrieves crowdsensing insight
Governance and safety built into the platform
Enterprise AgenticAI must be safe, traceable and controllable. Kumuluz helps organizations design governance into the platform foundation rather than adding it after pilots become production systems.
Identity-aware agents
Agents operate with user context, roles and permissions.
Permission-aware knowledge
Knowledge retrieval respects access rules and source traceability.
Tool authorization
Agents can only use approved tools and APIs under defined policies.
Gateway checks
Agent requests can pass through API gateway routing, validation and policy enforcement.
Human-in-the-loop approvals
Sensitive actions can require human review before execution.
Deterministic workflow boundaries
Critical process steps can be executed through workflow engines instead of relying only on agent reasoning.
Audit trails
Track agent sessions, prompts, knowledge retrieval, tool calls, API usage, workflow steps and approvals.
Token and cost visibility
Monitor model usage, token consumption and AI-related operational cost.
Where AI should assist and where workflows should execute
AI agents are useful for understanding intent, retrieving knowledge, preparing context, classifying information and recommending actions.
But many business processes require deterministic execution. Regulated, financial or operational workflows often need defined process steps, validations, human approvals, retries, compensations and audit trails.
Kumuluz supports this separation. AI agents can assist and orchestrate interaction, while workflow engines such as Temporal or Camunda execute process-critical steps through Business APIs and platform services.
AI agents
Understand intent, retrieve knowledge, prepare context and suggest actions.
Business APIs
Expose governed business capabilities.
Workflow engines
Execute deterministic process steps.
Kumuluz API
Routes, secures, monitors and logs API and agent requests.
Enterprise systems
Perform final business operations.
MCP-enabled tool integration for enterprise agents
AI agents need a structured way to discover and use enterprise tools. MCP-oriented integration patterns help expose approved capabilities in a form agents can understand and use.
Kumuluz supports MCP-enabled tool integration across the platform family. Kumuluz API can support MCP server scenarios and can expose its own MCP server for integration with agentic systems. Kumuluz Digital Platform can be used to build MCP-enabled tools, connectors and skills. Kumuluz Business APIs can be prepared as agent-callable business tools.
Tool discovery
Expose approved capabilities with descriptions, schemas and metadata.
Controlled tool access
Apply access rules and policies before agents can invoke tools.
Reusable tools
Use the same tools across multiple agents and use cases.
Platform integration
Integrate agentic systems with Kumuluz API and KumuluzAI platform services.
Business tool layer
Expose business capabilities such as customer lookup, KYC, onboarding, cases, orders or notifications as agent tools.
Designed for enterprise deployment
Kumuluz AgenticAI platforms are designed for organizations that need control over data, security, integration, deployment and operations.
Depending on requirements, solutions can support single-tenant, cloud, hybrid or on-premise deployment models and integrate with existing enterprise systems and identity providers.
Single-tenant deployment
Support dedicated customer environments for data isolation and enterprise control.
Cloud, hybrid or on-premise
Deploy according to infrastructure, data residency and regulatory requirements.
Kubernetes and OpenShift-ready
Use modern containerized deployment and enterprise platform engineering practices.
Enterprise identity integration
Integrate with existing identity providers and access management systems.
Existing system integration
Connect to APIs, databases, core systems, document repositories and business applications.
Operational visibility
Monitor agents, APIs, workflows, services, token usage and platform behavior.
Kumuluz products used in this solution
Agentic AI Platforms are built from several Kumuluz products that each play a distinct role.
AI
KumuluzAI Platform
The core AgenticAI platform for agents, assistants, knowledge, tool use, model routing, governance, human approvals and auditability.
Platform
Kumuluz Digital Platform
Engineering foundation for building services, APIs, connectors, MCP-enabled tools and deterministic workflows.
API
Kumuluz API
API management and gateway platform for exposing, securing, routing and monitoring APIs used by applications, partners and AI agents.
Business
Kumuluz Business APIs
Reusable business capabilities that agents and workflows can use as governed business tools.
Data
Kumuluz Crowdsensing
Optional data-driven component for real-world data, AI-enhanced insights and smart service context.
How organizations start with AgenticAI
Organizations can start with a focused AI use case and evolve toward a broader AgenticAI platform over time.
1
Identify high-value agent scenarios
We identify where AI agents can support users, processes, knowledge work or automation.
2
Map knowledge, tools and systems
We identify required knowledge sources, APIs, business capabilities, workflows and enterprise systems.
3
Define governance and safety boundaries
We define permissions, policies, tool access, approvals, auditability and deterministic workflow boundaries.
4
Build the platform foundation
KumuluzAI, APIs, tools, Business APIs, connectors and workflow patterns are configured and implemented.
5
Deploy first agents
Focused agents are deployed for selected users, channels or business processes.
6
Monitor, learn and improve
Usage, agent behavior, knowledge retrieval, API calls, token consumption and workflow outcomes are monitored.
7
Scale across use cases
Additional agents, tools, workflows, knowledge sources and departments are added to the same platform foundation.
Why Kumuluz
Platform approach instead of AI silos
Kumuluz helps organizations build reusable AgenticAI foundations instead of isolated assistants and experiments.
Enterprise governance
Security, identity, permissions, auditability, human approvals and cost visibility are part of the platform design.
Safe connection to enterprise systems
APIs, tools, Business APIs, connectors and workflows create controlled access between agents and backend systems.
Deterministic where it matters
Critical process steps can be executed through workflow engines while agents provide reasoning and assistance.
MCP and agent integration readiness
Kumuluz products support MCP-oriented integration patterns and agent-ready API/tool exposure.
Delivered by Sunesis
Sunesis combines enterprise software engineering, cloud-native platforms, APIs, integrations, DevOps and AgenticAI implementation experience.
Ready to move from AI pilots to an enterprise AgenticAI platform?
Kumuluz helps organizations build governed Agentic AI platforms where agents can access knowledge, use tools, call APIs, participate in workflows and operate under enterprise control.
Start with a focused use case and evolve toward a reusable platform foundation for AgenticAI across the organization.