The control intelligence for autonomous business operations.

The policy-driven intelligence layer of Wolvestride BCOS, coordinating AI execution across the business.

  • Understands business context
  • Executes policies as logic
  • Coordinates role-based AI agents
 

Modern enterprises don’t fail because they lack automation. They fail because automation runs without understanding.

Business workflows

Ensures every process follows defined policies while adapting dynamically to real-time business context.

AI agent actions

Controls how AI agents act, collaborate, and escalate to prevent unsafe or unauthorized execution.

System integrations

Orchestrates data and actions across connected systems with compliance, security, and auditability built in.

Approval decisions

Applies intelligent rules and risk checks to route, approve, monitor, or block actions automatically and securely.

Risk responses

Detects operational and compliance risks early and triggers corrective actions before impact occurs.

Exception handling

Manages anomalies with contextual intelligence, guiding resolution instead of breaking the process.

Every action is evaluated against: Policy · Context · Risk · History · Outcome before it runs.
Traditional AI
  • Black-box decisions
  • Generic automation
  • AI outside governance
  • Risk found later
  • Compliance as review
Krake AI
  • Explainable outcomes
  • Context-aware execution
  • AI inside BCOS
  • Risk prevented in real time
  • Compliance as logic

This is AI you can trust at scale.

Core Capabilities

Policy-Aware Intelligence

Krake makes decisions inside the rules.

  • Interprets policy-as-code
  • Applies context-based logic
  • Enforces boundaries dynamically
Multi-Agent Coordination

Krake doesn’t run one agent.
It runs fleets.

  • Assigns work to MinY agents
  • Orchestrates collaboration
  • Balances load and skills

Resolves conflicts

Predictive Control

Krake anticipates operational failures before they surface.

  • Overspend prediction
  • Bottleneck detection
  • Risk escalation forecasting
  • Workflow failure patterns
Behavioral Risk Detection

Krake learns what “normal” looks like.

  • Access pattern analysis
  • Spend behavior modeling
  • Process deviation detection
  • Insider risk signals
Adaptive Optimization

Krake continuously tunes execution.

  • Approval thresholds
  • Routing logic
  • Agent task distribution
  • SLA and performance rules
Krake connects and controls
  • C2 Studio (apps & workflows)
  • GRC Engine (policy & compliance)
  • ESDA (access & context)
  • MinY Agents (execution)
  • Audit Vault (evidence)
  • Integrations (external systems)

Krake’s Decision Loop

01

Observe

Krake monitors signals from users, systems, workflows, and agents.

02

Interpret

It applies business rules, compliance logic, and behavioral models.

03

Decide

It determines the safest and most optimal next action.

04

Execute

Tasks are assigned to MinY agents, workflows, or systems.

04

Improve

Outcomes retrain thresholds, logic, and models.

Safe & Secure

Built Inside BCOS. Designed for Operational Intelligence.

Krake AI does not run beside the platform. It runs inside the Wolvestride Business Compliance Operating System (BCOS).

  • Governed Decisions

All actions are enforced by the GRC engine and validated against policies in real time.

  • Context-Aware

All actions respect ESDA rules—based on role, data sensitivity, time, and risk.

  • Audit by Default

All actions are logged automatically with tamper-proof audit trails.

  • Agent Orchestration

Coordinates AI agents to execute tasks safely across operations.

  • Workflow Autonomy

Runs intelligent approvals and self-driving workflows with built-in guardrails.

  • System Orchestration

Connects and coordinates actions across enterprise applications seamlessly.

AI will run your business.

The question is—can you trust it?

Krake AI ensures intelligence is aligned with policy, accountable to governance, and embedded into execution.