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AI Control Tower at AxionAI

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At AxionAI, we recognize that the rapid expansion of artificial intelligence introduces a complex web of architectural, regulatory, and operational challenges. To help our clients maintain total transparency and authority over their expanding portfolios, we specialize in the implementation, deployment, and optimization of ServiceNow's AI Control Tower.
At AxionAI, we recognize that the rapid expansion of artificial intelligence introduces a complex web of architectural, regulatory, and operational challenges.
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About Us

What is AI Control Tower?

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ServiceNow’s AI Control Tower serves as the centralized "mission control" for your enterprise intelligence. Rather than running models, it sits above native and external AI systems to provide a unified governance workspace. In near-real-time, it aggregates continuous visibility into your active models, prompt templates, and datasets. This empowers our clients with a single pane of glass to track ownership, manage lifecycles, and enforce strict risk controls.
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How Can AxionAI Support You with AI Control Tower?

Deploying a complex governance application requires more than just enabling a plugin. We provide end-to-end technical engineering to turn ServiceNow's AI Control Tower into a single pane of glass for your enterprise.

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Centralized Asset Inventory Configuration

We map and inventory your entire AI landscape, including distinct AI systems, foundational models, specific prompt templates, and active training datasets; assigning clear technical ownership across departments.

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Automated Risk & Compliance Mapping

Our team embeds automated risk screening workflows aligned directly to global standards like the NIST AI Risk Management Framework (RMF) and the EU AI Act, ensuring compliance checks occur before a model hits production.

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Real-Time Telemetry and Monitoring

We configure live platform pipelines to stream near-real-time metrics on usage, model performance, and operational health directly into your workspace. We deliver proactive alerts to detect issues before they impact users.

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Value Tracking & Value Templates

We design custom reporting frameworks to measure actual productivity gains, cost offsets, and business value driven by your AI assets, making sure your return on investment is quantifiable.

AxionAI Expertise for AI Control Tower

Our engineers maintain deep specialization across the technical prerequisites required to maximize ServiceNow's AI Control Tower. We bridge the gap between platform architecture and data science.

The ServiceNow AI Control Tower is a centralized command center designed to discover, govern, secure, and monitor all AI models, agents, and workflows across your enterprise. Axion AI integrates this framework natively into your instance to establish a single registry for AI assets, ensuring full oversight of both native ServiceNow AI and third-party models.

Using AI Control Tower's automated discovery capabilities, we scan your environment to map every active AI agent, model dependency, and prompt URL. We link these assets directly to business owners within your CMDB, giving our clients total visibility to eliminate shadow AI, mitigate compliance risks, and govern runtime behavior.

We configure automated guardrails, risk scoring, and kill-switch protocols within the AI Control Tower. This allows our clients to continuously audit model performance for bias, prevent prompt injection risks, enforce data privacy rules, and immediately isolate malfunctioning or rogue AI agents before they impact business continuity.

Yes. Through the AI Control Tower Value Dashboard, we establish real-time Key Performance Indicators (KPIs) to measure adoption rates, cost savings, MTTR reduction, and net return on investment across your entire AI ecosystem, converting abstract AI initiatives into quantifiable business outcomes.

We leverage ServiceNow's AI Agent Fabric alongside security access boundaries to allow autonomous agents to communicate, share context, and execute multi-system workflows safely. Our architects configure strict permission boundaries so AI agents can query data and trigger platform tools without breaching governance rules.

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