Managed IT and HR support agents priced per employee, or an owned platform that runs support and everything else on your infrastructure
On ibl.ai you own all the code and the data, run it model-agnostic across any LLM, and pay with no per-seat pricing — so you can deploy anywhere, from your own cloud to a fully air-gapped network.
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Moveworks automates the long tail of employee support — password resets, access requests, policy questions, HR queries — with mature intent handling built over years of service-desk data. For IT organizations drowning in tier-one tickets, that maturity is worth paying for.
It is a managed service priced per employee, and since the ServiceNow acquisition its roadmap sits inside a larger platform strategy. Both facts belong in a five-year evaluation.
An owned platform treats employee support as one workload among many. The same deployment, the same integrations, and the same permissions model also serve engineering, sales, finance, and any other function, without another per-employee contract for each.
This page compares them on the three things that decide enterprise support AI: what it costs across the whole workforce, where support conversations are stored, and who controls the roadmap you are building on.
by ibl.ai
Owned agentic AI platformby Moveworks (ServiceNow)
Managed employee-support agents| Criteria | Self-Hosted AI | Moveworks |
|---|---|---|
| Out-of-the-Box Readiness | Production agents for IT help desk, HR service delivery, access requests, onboarding, and internal knowledge search once deployed, configured to how your organization actually works. | Immediately useful — mature employee-support automation across IT and HR, with intent handling built on years of service-desk data. |
| Integration With Your Systems | Deep integration with ServiceNow, Jira, Okta, Workday, and Microsoft 365 over APIs and MCP, running inside your own network. | Connects to common systems, bounded by the connectors the vendor has built. |
| Extensibility | Build and own workflows the vendor has not thought of, because you hold the code. | Configurable within the product; capabilities outside it require the vendor to build them. |
| Any-LLM & Model Control | Run any open or commercial model, route by cost, latency, and capability, and switch anytime. | Runs on models Moveworks selects and manages. |
| Criteria | Self-Hosted AI | Moveworks |
|---|---|---|
| Self-Hosting / On-Prem / Air-Gapped | Runs on your servers, your private cloud, or fully air-gapped with zero external calls. | Runs in Moveworks' cloud; it cannot be self-hosted or air-gapped. |
| Where the Data Lives | employee data and internal support records never leaves your environment, and every interaction is logged for audit. | Processed and retained on the vendor's infrastructure under your agreement. |
| Source Code Ownership | You hold the full source and can audit, fork, and extend every layer. | You rent access; the platform and its roadmap belong to the vendor. |
| Fit With SOC 2, ISO 27001, and GDPR obligations | Data stays inside your perimeter, which is the simplest posture to evidence under SOC 2, ISO 27001, and GDPR obligations. | Vendor compliance coverage under shared-responsibility terms. |
| Criteria | Self-Hosted AI | Moveworks |
|---|---|---|
| Cost at Scale | Flat license plus compute you own — extending access across enterprise IT and HR service desks does not multiply the bill. | per-employee licensing, so cost grows with the size of the organization rather than the work done. |
| Time-to-Value | Requires deployment and integration, or a partner who does both for you. | Usable almost immediately with no infrastructure work. |
| Support & Maintenance | Self-managed, or fully supported with forward-deployed engineers. | Fully managed by Moveworks (ServiceNow). |
| What You Keep If the Relationship Ends | A working platform and all your data, still running on your own infrastructure. | Whatever the contract allows you to export. |
A flat, self-hosted license covers every employee and every other AI workload from the same deployment, so support automation does not carry its own headcount multiplier.
Per-employee pricing is coherent for a support tool and does mean the bill tracks the workforce rather than the ticket volume it actually handles.
Most tickets come from a minority of employees. Pricing the whole workforce for that is the same structural mismatch as per-seat assistant licensing.
An owned platform runs support agents alongside engineering, finance, and sales agents on shared integrations, permissions, and audit — one deployment rather than five contracts.
A specialist support product is deeper in its lane out of the box and requires no platform thinking to deliver value.
Organizations that will deploy AI beyond the service desk should count the eventual number of vendors, not just this one's price.
Owning the source means your platform's direction is not decided by another company's portfolio strategy or integration timeline.
Acquisition brings resources and integration depth with ServiceNow, which is a genuine benefit for ServiceNow-centric organizations.
Weigh it by your own estate. If you are consolidating on ServiceNow, the acquisition helps; if you are not, your AI roadmap now depends on someone else's.
Support, engineering, finance, and sales agents should share one platform, integrations, and audit trail rather than accumulating separate contracts.
Mature intent handling built on years of service-desk data deflects tickets immediately without a platform program.
Support conversations contain employee data, and self-hosting keeps them inside systems the organization already controls.
Building on a product whose roadmap now serves another vendor's platform strategy is a dependency worth avoiding if you are not consolidating there.
Timeline: Four to ten weeks depending on integration count and review requirements
Timeline: Days to a few weeks
ibl.ai is the agentic AI platform where you own all the code and the data. You self-host the entire stack inside your own perimeter, run it model-agnostic across any LLM and switch anytime, and pay by usage with no per-seat pricing — so you can deploy anywhere: your cloud, on-premise, GovCloud, or fully air-gapped.
ibl.ai treats employee support as one workload on a platform rather than a product to buy separately. The same self-hosted deployment runs IT and HR agents alongside agents for engineering, finance, and sales, sharing integrations, permissions, and one audit trail. Agentic OS connects to ServiceNow, Jira, Okta, Workday, and Microsoft 365 over APIs and MCP, indexes your own ticket history so intent handling improves on your data, and keeps support conversations — which routinely contain employee personal data — inside systems you control. You own all the code and the data, run any model, and can deploy on any cloud, on-premise, or air-gapped, on a flat license rather than per employee.
Full source code under a perpetual license, running on your infrastructure. Not API access to someone else's platform — the stack itself is yours.
Run any LLM — Claude, GPT, Gemini, Llama, Command, or your own fine-tune — and switch providers without rewriting the platform.
Usage-based billing against a budget cap you set. Cost tracks what your organization actually uses, not how many people you employ.
Your cloud, your VPC, on-premise, GovCloud, or a fully air-gapped network with no outbound connectivity.
1.6M+ users across 400+ organizations run the platform this way, including NVIDIA, MIT, and Syracuse University.
ibl.ai is family-owned and operated from New York, NY — a U.S.-headquartered, domestically-owned long-term partner, not a vendor that sells licenses and moves on.
See how ibl.ai deploys AI agents you own and control—on your infrastructure, integrated with your systems.