AI Lifecycle Management (ALM)
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AI Lifecycle Management (ALM) helps organizations control enterprise AI and securely put AI to work. It combines expert strategy, engineering, implementation, and managed services with Halo – OmniTrust’s enterprise AI platform spanning AI Control Plane and Agent Studio.
For CIOs, CISOs and AI leaders, Halo AI Control Plane provides Discover, Control & Optimize across enterprise AI. For business teams, Halo Agent Studio provides Build, Operate & Scale for AI assistants, agents and automations -with the same identity, policy, data protection and runtime controls built in.
A Trust-Native Approach to Enterprise AI
Organizations don’t need another AI tool. They need a trusted approach for adopting AI across strategy, governance, security, operations, and innovation. ALM brings these disciplines together into a single Trust-Native framework that helps organizations discover opportunities, establish governance, accelerate AI adoption, and continuously manage AI throughout its lifecycle.
Key Capabilities:
AI Strategy & Advisory
Develop enterprise AI strategy, identify high-value use cases, assess readiness, and build a practical roadmap for secure, scalable AI adoption.
AI Foundry & Engineering
Move AI from concept to production with OmniTrust forward-deployed engineers who design, build, integrate, and operationalize trusted AI solutions.
Trust-Native AI Architecture
Design identity, runtime controls, policy, data protection, model choice, and secure infrastructure into AI from the start.
OT Halo AI Control Plane - Discover
Discover AI and Shadow AI across applications, models, agents, APIs, browsers, and devices. Build a live inventory of enterprise AI usage, risk, and spend.
Halo AI Control Plane - Control & Optimize
Enforce AI policy at runtime, protect data and IP, control models and agents, manage identity, and optimize AI cost, performance, and provider choice.
Halo Agent Studio - Build, Operate & Scale
Build and deploy secure AI agents using any approved model or framework. Operate under Halo controls and scale across teams without creating AI silos.
ALM Services & Halo AI Platform
- ALM Expert Services — Define AI strategy and accelerate adoption with advisory, forward-deployed engineering, Trust-Native architecture, implementation, and operational expertise.
- Halo Enterprise AI Platform — Two integrated offerings: Halo AI Control Plane to Discover, Control & Optimize enterprise AI, and Halo Agent Studio to Build, Operate & Scale trusted AI agents and automations.
- One AI Lifecycle — Bring enterprise control, business enablement and AI economics together to accelerate AI adoption, protect sensitive data, control execution, optimize cost and scale AI confidently.
- AI Strategy & Advisory - Executive workshops, AI strategy, use-case discovery, roadmap planning, and readiness to accelerate Trust-Native AI adoption.
- AI Foundry & Engineering - Embedded AI architects rapidly build, deploy, and scale trusted AI assistants, agents, and enterprise automations.
- Trust-Native AI Architecture - Identity, runtime control, policy enforcement, and data protection embedded into every AI deployment from day one.
- ALM QuickStart Program - Rapidly identify AI opportunities, deploy initial Trust-Native solutions, and establish the foundation for enterprise AI adoption.
- Build and deploy AI workers in minutes using low-code or your preferred development framework.
- Support OpenClaw, OpenShell, NemoClaw, CrewAI, LangChain, N8N, AutoGen, Google ADK, OpenAI Agents, Microsoft Copilot Studio, and custom agents.
- Run frontier, open-weight, private, sovereign, or self-hosted models—or securely connect your own APIs and enterprise AI infrastructure.
- Integrate agents with enterprise applications, APIs, databases, SaaS platforms, tools, and business workflows using reusable connectors.
- Build with any model. Deploy any framework. Govern every AI agent through Halo's Trust-Native AI Control Plane.
- Every AI agent inherits Halo's runtime governance, identity, policies, guardrails, audit trails, and operational controls for trusted enterprise AI.
- Discover AI and Shadow AI across applications, models, agents, tools, browsers, devices, data flows, usage, risk, and spend.
- Control AI at runtime with trusted identities, permissions, policy enforcement, data and IP protection, model and agent controls, and secure AI gateways.
- Optimize AI cost and performance with spend visibility, workload intelligence, dynamic model selection, and multi-model and infrastructure choice.
- Establish enterprise-wide AI accountability with centralized policy, approvals, audit trails, usage visibility, and continuous runtime enforcement.
- Discover AI usage across browsers, desktop applications, laptops and enterprise endpoints using lightweight browser and endpoint sensors.
- Automatically inventory AI applications, models, agents, APIs, tools, MCP servers and Shadow AI to understand what is being used, where and by whom.
- Organize the enterprise AI inventory, identify usage and risk, align AI to approved policy, and provide the foundation for governance and runtime enforcement through Halo Control.
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