ChatGPT Enterprise vs Moveworks Comparison

C

Why choose ChatGPT Enterprise

• Higher Output Quality score (9/10 vs 7/10)
• Higher Cost score (3/10 vs 2/10)

Why choose Moveworks

• Better fit for it teams (9/10 vs 7/10)

C

ChatGPT Enterprise

Pros

• The enterprise governance set goes well beyond the Business plan, including SCIM, custom RBAC, customer-managed encryption keys on AWS, GCP, or Azure, and a compliance logs API.
• Data residency across multiple regions and HIPAA BAA eligibility make the plan usable in regulated industries.
• One seat bundles chat, deep research, image generation, voice, the ChatGPT Work agent, and Codex, so teams don't need separate AI tools for each task.
• Admins can set monthly per-user credit limits, overage caps, and alerts to govern agent and Codex spending.
• Connectors for Microsoft 365, Google Drive, Slack, and GitHub let company knowledge search answer questions from internal data.

Cons

• There is no public pricing. Per-seat figures come only from third-party estimates, and contracts are negotiated case by case.
• Usage-based charges for Work and Codex, with multipliers for long context, fast mode, and regional processing, make total cost hard to predict.
• The reported 150-seat minimum and annual commitment exclude smaller teams.
• Compliance logs for Work keep prompts for only 30 days and are not a full audit trail of tool calls, so a separate SIEM export is needed for longer retention.
• PeerSpot reviewers report context limits on very long documents and want finer per-team control over tone and response constraints.

Moveworks

Pros

• Resolves routine IT requests such as password resets and access issues inside chat without a manual ticket, according to G2 reviewers
• Deepest available integration with ServiceNow, which now owns the product
• Broad compliance coverage, including SOC 2, ISO 27001, HIPAA and FedRAMP authorization
• Supports over 100 languages for global workforces
• Tool Studio lets teams build custom agents with low-code tools

Cons

• No public pricing, and estimated costs are around 100 to 200 dollars per employee per year
• Reviewers say integrating with non-ServiceNow and legacy systems is complex and slow
• Non-routine or complex questions often need a human handoff
• Answers stay accurate only with ongoing knowledge-base tuning
• Its future roadmap is tied to ServiceNow, which may matter for Jira or Freshservice shops