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Put durable agent trust beyond the workflow control tower.

ServiceNow combines native agents and orchestration with a vendor-neutral AI Control Tower for discovery, governance, security, observability, and value tracking. Iron Gorilla adds durable agent work, behavioral trust, compensation, containment, and recovery.

ServiceNow AI Control Tower in brief

A broad AI control tower connected to enterprise workflows.

ServiceNow is strong when AI agents, risk, CMDB assets, identities, workflows, and business outcomes already live on the ServiceNow platform.

Why Iron Gorilla

Run resilient agent work across the business.

ServiceNow governs a wide AI estate and orchestrates native agents. Iron Gorilla makes durable execution, earned trust, approval, connection health, compensation, containment, recovery, and action evidence the core product.

Feature comparison

Compare AI estate governance with managed runtime control.

Iron Gorilla covers 38 of 42 capabilities. ServiceNow AI Control Tower covers 26. Iron Gorilla includes 16 capabilities ServiceNow AI Control Tower does not.

Managed agent runtimeBuild, run, supervise, and improve agents in one platform.11 features
Fully managed production agent runtimeDeploy, execute, scale, and operate production agents as one accountable service.
Guided Agent BuilderCreate reviewed, versioned agents without assembling the runtime by hand.
Durable execution across interruptionPreserve state and continue long-running work after workers, networks, or providers fail.
Managed long-term agent memoryKeep governed context across sessions and long-running goals.
Long-running goal managementTrack plans, dependencies, state, and outcomes across many steps or sessions.
Managed multi-agent orchestrationCoordinate specialized agents, dependencies, handoffs, and shared work.
Contextual human approval gatesPause higher-risk work for a named person before execution continues.
Checkpoint resume and operator replayRestart work from a known good state after review or failure.
Business-action compensationReverse or compensate for a completed business action during recovery.
Scheduled and event-triggered agentsStart governed work from schedules, APIs, events, or enterprise systems.
Runtime observability and tracesInspect agent steps, tools, models, latency, failures, and outcomes.
Policy and evidenceControl actions before they happen and keep proof of each decision.11 features
Pre-action business policy enforcementEvaluate business rules before tools change enterprise systems.
Policy simulation before activationTest expected decisions against sample actions before enforcement.
Prompt, output, and sensitive-data controlsInspect model traffic and prevent unsafe content or sensitive-data exposure.
Tool permissions and action allowlistsRestrict which tools and actions each agent may use.
Behavioral Trust ProfilesScore each agent from observed behavior and surface drift to operators.
Adaptive autonomy from earned trustTighten or relax oversight as observed behavior changes.
Live agent and connection containmentIsolate risky agents, connections, or work before impact spreads.
Guided operational recoveryDiagnose failure and recover affected work through an accountable operator flow.
Tamper-evident action audit trailPreserve policy, approvals, calls, actions, and outcomes as trustworthy evidence.
Scheduled fixed reports and portable exportsGive leaders and auditors repeatable reports in stable formats.
Vendor-neutral AI asset discovery and CMDB mappingFind agents, models, MCP servers, identities, and dependencies across the enterprise.
Connections and modelsControl MCP tools, model traffic, routing, cost, and integrations.10 features
MCP tools and connectionsConnect agents to MCP servers and governed enterprise actions.
MCP ownership, health, and lifecycleOperate connections with owners, credentials, health, risk, assignments, and history.
Enterprise application integrationsConnect agents to existing systems without rebuilding every interface.
APIs and developer interfacesEmbed agents and platform functions into existing products and workflows.
Multiple model providersUse approved models across providers without rebuilding agent workflows.
Policy-aware model routingSelect models by capability, cost, latency, risk, and policy.
Automatic model-provider fallbackContinue work on an approved backup when a provider fails.
Spend attribution, budgets, and cost routingTrack model cost by agent and constrain or reroute work before spend runs away.
Per-agent tool and model assignmentGive each agent only the tools, data, and model routes it needs.
Governance for agents running on external platformsApply inventory, risk, security, and monitoring to agents outside the native runtime.
Enterprise and governmentProtect identity and data across private and public-sector work.10 features
Managed SaaS deliveryUse the platform as a supported enterprise cloud service.
Customer-controlled on-premises deploymentOperate the platform inside infrastructure controlled by the buyer.
Air-gapped deployment patternOperate inside disconnected environments with controlled data and model access.
Enterprise identity and scoped accessApply organization, role, group, environment, and ownership boundaries.
Published plan structureShow buyers public plan options and included capabilities.
Dedicated government and defense solutionAddress mission, procurement, deployment, approval, and evidence needs directly.
Regulatory and assurance mappingsMap controls and evidence to regulated or public-sector assurance needs.
Formal implementation partner ecosystemUse consulting, technology, and delivery partners for adoption.
Independent SOC 2 Type II assuranceProvide independent assurance that service controls operated effectively over time.
AI value and ROI measurementConnect agent adoption, performance, cost, and outcomes to business value.
The short answer

ServiceNow AI Control Tower or accountable agent operations?

Use ServiceNow for enterprise-wide AI control

Use ServiceNow when AI discovery, CMDB relationships, risk, compliance, identity, workflow orchestration, native agents, and business-value tracking need one enterprise control tower.

Choose Iron Gorilla for the full program

Choose Iron Gorilla when cross-system agents need durable state, long-term operational memory, behavioral trust, adaptive autonomy, compensation, containment, recovery, and fixed evidence.

Switch with less risk

Already under contract with ServiceNow AI Control Tower?

Your organization may qualify for a contract buyout and complimentary professional services when it moves production agent operations from ServiceNow AI Control Tower to Iron Gorilla.

Check eligibility
FAQ

ServiceNow AI Control Tower alternative questions

Is Iron Gorilla an alternative to ServiceNow AI Control Tower?

Yes. Both platforms support production AI work. ServiceNow AI Control Tower runs native production agents and orchestrates workflows, but its broad control-tower model does not publish the same checkpointed durable execution, behavioral trust, or action-compensation layer. Iron Gorilla adds a managed operating model centered on durable execution, behavioral trust, action control, containment, and recovery.

What is the main difference between ServiceNow AI Control Tower and Iron Gorilla?

ServiceNow governs a wide AI estate and orchestrates native agents. Iron Gorilla makes durable execution, earned trust, approval, connection health, compensation, containment, recovery, and action evidence the core product.

Does ServiceNow AI Control Tower run production agents?

runs native production agents and orchestrates workflows, but its broad control-tower model does not publish the same checkpointed durable execution, behavioral trust, or action-compensation layer.

Where is ServiceNow AI Control Tower stronger?

ServiceNow is stronger for enterprise AI inventory, CMDB context, third-party asset governance, workflow integration, AI value measurement, and its global platform and partner ecosystem.

When should a team choose Iron Gorilla over ServiceNow AI Control Tower?

Choose Iron Gorilla when cross-system agents need durable state, long-term operational memory, behavioral trust, adaptive autonomy, compensation, containment, recovery, and fixed evidence.

Can Iron Gorilla buy out a ServiceNow AI Control Tower contract?

Your organization may be eligible for a contract buyout and complimentary professional services. Eligibility and scope depend on your current contract and migration needs.

See the full agent lifecycle.

Build an agent. Set its limits. Run it with trust, approval, and audit controls.

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