ChatGPT Enterprise vs PolyAI Comparison

C

Why choose ChatGPT Enterprise

• Higher Ease of Use score (8/10 vs 6/10)
• Higher Analytics score (7/10 vs 6/10)
• Better fit for developers (7/10 vs 5/10)

Why choose PolyAI

• Higher Customization score (8/10 vs 7/10)
• Higher Support score (8/10 vs 7/10)
• Better fit for startups (4/10 vs 2/10)

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.

PolyAI

Pros

• Reviewers repeatedly praise its natural-sounding voices and its handling of interruptions and topic changes in multi-turn calls.
• PolyAI claims around 90% end-to-end call resolution on its largest deployments and 99.994% trailing uptime.
• Compliance is strong for regulated industries: SOC 2 Type 2, ISO 27001, PCI DSS, GDPR, and US, UK, EU and APAC data residency.
• Managed pricing bundles maintenance, model upgrades, integrations and 24/7 support.
• One agent can serve voice, SMS, WhatsApp, web chat and email.
• G2 reviewers describe support as responsive during implementation.

Cons

• The platform has no public price, so buyers must go through a sales-led quote.
• Some users report occasional lag or slow responses.
• Reviewers want deeper voice analytics and reporting.
• It can struggle with complex or unusual interactions.
• It relies on underlying telephony providers rather than bundling a full phone system.
• It is oriented toward large enterprises, which makes it a poor fit for small teams.