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AI PLATFORM

Faster onboarding. Cross-system analysis. Less manual integration.

Yarken's API Platform is being built to connect enterprise systems, operational data, specialist agents, and workflow orchestration into one unified operational intelligence layer. Traditional APIs expose systems. Yarken's API Platform is designed to expose operational capabilities.

ENTERPRISE SYSTEMS
FINANCIAL
Systems
CLOUD
Platforms
PROCUREMENT
Tools
VENDOR
Datasets
GOVERN
Systems
YARKEN API PLATFORM
DYNAMIC TOOL
REGISTRY
Semantic capability discovery
RELATIONSHIP
GRAPH
Cross-domain connections
GOVERNED
EXECUTION
Scoped permissions + audit
AI AGENTS & WORKFLOWS
SPECIALIST AGENTS
Dynamically discover tools
WORKFLOW ENGINE
Traverse the operational graph
CLIENT-SPECIFIC LOGIC
No core architecture changes
 DYNAMIC TOOL REGISTRY

Every connector registered as a semantic tool.

Every connector, API, and operational capability is registered as a semantic tool. Each tool contains capability descriptions, security boundaries, relationship metadata, input/output structures, and context-aware discovery information.

This allows specialist agents to discover capabilities dynamically, select the correct tools during execution, coordinate workflows across systems, and extend operational processes safely.

•Capability descriptions: what the tool does and when to select it
•Security boundaries: scoped access controls at the tool level
•Relationship metadata: how this tool connects to others in the operational graph
•Input/output structures: validated schemas for every action
•Context-aware discovery: agents select the right tool at runtime
 RELATIONSHIP - DRIVEN CONNECTIVITY

Enterprise operations depend on interconnected systems.

Yarken maps operational relationships across every domain — so workflows can automatically expand investigative scope across connected systems without requiring users to manually connect every dependency.

Vendor ↔ Contract

Commercial obligations, renewal timelines, and spend attribution linked and traversable during any investigation.

Product ↔ Application

Product cost attribution traced back to the applications and services that deliver it — without manual assembly.

Service ↔ Spend

Every service mapped to its cost driver, enabling TCO analysis without requiring users to connect every data point.

Cost Centre ↔ Tower

Tower structures connected to financial hierarchies for consistent, auditable allocation across every business unit.

Resource ↔ Cloud Platform

Cloud resource consumption linked to cost centres, teams, and business units — surfaced automatically.

Business Unit ↔ Financial Structure

BU accountability mapped to financial structures, enabling fast escalation, governance, and charge-back decisions.

 RAPID ENTERPRISE EXTENSIBILITY

Onboard and configure faster.

Yarken is being built to let implementation teams register new data sources, configure operational relationships, extend workflows, tailor client-specific logic, and expand orchestration behaviour — without modifying the underlying platform architecture.

Step 1

Register data sources

Connect financial systems, cloud platforms, procurement tools, and vendor datasets through the tool registry.

Step 2

Configure relationships

Define operational connections — vendors to contracts, resources to cost centres, products to applications.

Step 3

Extend workflows

Tailor operational playbooks and client-specific logic without changing the platform core.

Step 4

Expand orchestration

As operational intelligence accumulates, AI deployment scope grows — accelerating analysis and governance across your estate.

"Instead of static integrations, Yarken is creating a connected operational graph that AI systems can traverse during workflow execution."

Yarken — Platform design principle

More to explore

AI Engine

AI Engine

Specialist agents coordinating enterprise financial operations.
Yarken's AI Engine breaks complex TBM and FinOps workflows into focused specialist agents: cloud, vendor, allocation, governance, reporting. An orchestration layer runs them consistently, with human approval at every consequential step.



AI Models

AI Models

Your operating model encoded as AI reasoning context.
Technology Finance Intelligence Models (TFIM) give Yarken the context to reason like your organization, not a generic one. Cost pools, tower structures, governance rules, allocation logic. Built once, applied across every workflow.

AI Labs

AI Labs

Researching the operational layer that comes after the copilot.
AI Labs explores agentic workflows, knowledge-grounded intelligence, workflow formalization, and trust frameworks, studying how analyst expertise and governance decisions become structured, reusable operational intelligence at enterprise scale.

Ready to map your enterprise connections?