Agentic AI Is Getting Real: What ServiceNow + Moveworks Changes

The shift: from “AI that answers” to “AI that executes”

Most organizations already have AI pilots. Lots of summaries. Lots of chat. But the real bottleneck is still the same: work doesn’t complete itself—approvals, permissions, tickets, handoffs, compliance checks, audit trails.

In late February 2026, ServiceNow made a very clear statement about where enterprise AI is going next:

1. Autonomous Workforce — “AI specialists” designed to execute jobs end-to-end with governance.
2. EmployeeWorks — a new employee “front door” that combines Moveworks’ conversational AI + enterprise search with ServiceNow workflows to turn natural language into governed execution (and it’s aimed at scale: “nearly 200 million employees”).
3. Moveworks FedRAMP Moderate Authorization — bringing a secure path for public sector and regulated environments via Moveworks GovCloud on AWS GovCloud (US).

If you’ve been waiting for “agentic AI” to become real in enterprises, this is one of those moments.

What ServiceNow announced: Autonomous Workforce

ServiceNow describes Autonomous Workforce as a set of “AI specialists” with defined roles that can execute jobs with scope, authority, and governance requirements for enterprise work.

A key point: ServiceNow positions this beyond “single-task agents.” The idea is orchestration of AI specialists working across processes, with controls and auditability.

The first out-of-the-box specialist: Level 1 Service Desk AI Specialist (controlled availability now; expected GA in Q2 2026). ServiceNow also claims internal early results: handling 90%+ of employee IT requests, and the L1 specialist resolving assigned cases 99% faster than human agents for those cases.

Why this matters: enterprises don’t just want “probabilistic” answers; they need deterministic outcomes—security, governance, auditability, and predictable operations. ServiceNow frames the difference as “AI + workflows” rather than AI bolted onto disconnected apps.

EmployeeWorks: the “AI front door” meets enterprise-grade execution

ServiceNow also introduced ServiceNow EmployeeWorks, combining Moveworks’ conversational AI + enterprise search with ServiceNow’s unified portal and autonomous workflows. The promise: employees ask in natural language, and the platform completes the work with governance and audit trails.

A detail that’s easy to miss but important: EmployeeWorks is designed to work where employees already are (Teams, Slack, browser), and it understands org structure, approvals, and authorization, so it can execute multi-system tasks responsibly.

Availability: EmployeeWorks is generally available “since yesterday” (Feb 26 announcement).

The public sector angle: Moveworks achieves FedRAMP Moderate

One day earlier, ServiceNow announced that Moveworks achieved FedRAMP Moderate Authorization, a big deal for public sector and heavily regulated environments.

ServiceNow positions Moveworks as an “AI front door” for government agencies: search + action across business applications, reducing manual work for routine requests.

Key points from the release:

• Moveworks GovCloud is a dedicated environment built on AWS GovCloud (US).
• Support for communication in 100+ languages.
• Mentions of native integrations, an AI Agent Marketplace, and Agent Studio for automation across existing stacks.
• Intention to pursue additional certifications such as FedRAMP High and Impact Level 5 (IL5).

For organizations in (or selling into) public sector, this matters because it reduces the friction between “we want modern employee experience” and “we need security/compliance first.”

What this means in practice: where to start (without boiling the ocean)

If you’re a CIO / IT / HR / SecOps leader, the question isn’t “Should we use AI?” — it’s:

Where can AI safely execute work end-to-end, with measurable ROI, and without creating governance debt?

A practical starting sequence we recommend:

1. Pick one high-volume domain (often IT L1: password resets, access requests, software requests, common incidents).
2. Map the workflow reality (approvals, exceptions, knowledge sources, identity, integrations).
3. Define guardrails (what can be fully autonomous vs. needs human approval).
4. Instrument outcomes (time-to-resolution, deflection rate, employee satisfaction, auditability).
5. Scale to adjacent domains (HR, Finance, Procurement) once the pattern is proven.

This is exactly where the “front door + workflow + governance” combination becomes powerful.

How Sequal Consultancy team helps you get real outcomes

At Sequal, we focus on making agentic AI operational:

• AI Front Door strategy: what employees should ask, where they should ask it (Teams/Slack/portal), and how requests get executed.
• Workflow-first automation: turning intents into controlled actions across ServiceNow + connected systems.
• Governance & auditability: clear rules, traceability, and a model for autonomy levels (from assist → approve → execute).
• Use-case pipeline: we help you pick the first 3–5 use cases that will actually move the needle, fast.

If you want, we can run a 30-minute working session to identify:

• your best “L1 automation” candidates,
• the minimum integrations needed,
• and what “safe autonomy” looks like in your org.

Book a 30-minute AI execution review with Sequal Consultancy and leave with a shortlist of use cases and a simple rollout plan.