Build, Manage, Deploy, Orchestrate, and Govern AI Agents For Every Team
A complete agentic stack for designing, executing, and scaling enterprise workflows
Every agent and workflow is policy-aware, auditable, and traceable enabling enterprises to scale agent-driven execution with confidence.
Modular agentic architecture
FuturePath is built on a modular agentic architecture where different agent types—autonomous, co-resolve, modular, and developer-extended—operate as part of a single, unified system. Each agent is designed to handle a specific class of work.
Coordinated execution across enterprise systems
Agents coordinate across search and chat interfaces, enterprise knowledge and LLM context, and workflow automation—to sequence actions across IT, HR, Finance, Sales, and Support systems.
Adaptive reasoning within human workflows
FuturePath agents are designed to adapt to real-world ambiguity. Agents dynamically adapt execution based on policy constraints, data availability, and human input—requesting clarification or escalation.
Continuous optimization with governance built in
Sensitive data protection, role-based access, least-privilege execution, audit trails, and policy enforcement are applied consistently across every agent and workflow.
The Agentic Development Environment
One platform surface, purpose-built for every role involved in agent-driven execution
Govern outcomes, not experiments
Business leaders use the agentic development environment to define how AI agents operate within the enterprise. They set execution boundaries, approval requirements, and escalation paths to ensure agents align with business objectives, regulatory constraints, and operational standards.
What this unlocks
- Predictable, policy-aligned agent execution
- Clear ownership and escalation across functions
- Confidence to scale agents into core operations
FuturePath Agents Plan, Act, Learn, and Scale Together
The Agentic Layer is the execution fabric of the platform, built for systems engineering, not just chat.
Ready-to-Deploy Enterprise Agents
Pre-built agents aligned to real operational roles, designed to run safely in production environments from day one.
Pro-Code Agents
Extend and compose agents using proprietary logic, internal tools, and custom workflows—without bypassing governance.
Customer & Partner-Built Agents
Build domain-specific agents that inherit enterprise context, permissions, and execution boundaries by default.
Execution Learning Ledger
Every approval, correction, and outcome is captured as structured learning—improving future execution.
Multi-Channel Native Execution
Agents operate consistently across chat, email, voice, portals, ticketing systems, and collaboration tools.
Built for Enterprise Scale
Designed to coordinate thousands of concurrent actions across teams, regions, and systems.
Orchestrated Execution Across Enterprise Workflows
The Agentic Layer coordinates multiple specialized agents through a shared enterprise core.
AI Agents for IT
Incident Detection to Resolution
Anomaly Detection
Incident Correlation
Impact Assessment
Similar Fix Lookup
Execute Remediation
Post-Incident Learning
IT: From incident to resolution
Champion and operationalize AI across the entire IT lifecycle.
Enterprise-Grade Security and Governance, Built In
Applications built with security and compliance embedded. Every workflow is policy-aware, auditable, and traceable—designed to operate safely at enterprise scale.
Learn more about trust and securityAnalytics
Track agent usage, performance, and outcomes with real-time dashboards, execution logs, and full traceability.
User consent and authentication
Secure delegated execution through OAuth 2.0, giving users clear visibility and control over agent access.
Granular role-based access
Enforce least-privilege execution with fine-grained access to tools, data, and actions.
Compliance by design
Meet global and industry security standards with built-in protections for PII, PHI, and PCI, and support for frameworks like GDPR.