Comparison

Sempleo vs ChatGPT Enterprise

ChatGPT Enterprise is a general-purpose AI chat tool. Sempleo is a governed agent platform built around your organizational knowledge. Here is how they compare.

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The core difference

A chat interface vs a governed agent platform

ChatGPT Enterprise gives every employee access to a powerful general-purpose AI chat tool. Add Company Knowledge, and it can pull context from connected apps like Slack, SharePoint, and Google Drive. It is a strong horizontal tool.

Sempleo solves a different problem. It deploys purpose-built AI agents that operate within your organizational structure — scoped to teams, clients, and projects — with persistent knowledge, policy enforcement, and audit trails. The output is not a chat response. It is governed, methodology-aligned work product.

The question is whether you need a smarter chat tool or a platform that makes AI work reliably across your organization.

Knowledge architecture

Connected apps vs structured organizational knowledge

ChatGPT Enterprise introduced Company Knowledge in late 2025. It connects to apps like Slack, SharePoint, Google Drive, and GitHub, and uses GPT-5 to search across them. It respects existing permissions and includes citations. This is useful for finding answers.

Sempleo takes a fundamentally different approach. Knowledge is not fetched per-session from connected tools — it is ingested, structured, and maintained in a persistent knowledge base organized across five levels: Company, Team, Client, Project, and User. Documents have authority scores. Relationships between documents are tracked. Retrieval uses hybrid search with optional reranking.

For organizations where institutional knowledge drives output quality — consulting methodologies, compliance playbooks, client histories — the structural difference matters.

Knowledge capabilities compared

Persistent knowledge base

Sempleo maintains a structured, searchable knowledge base that grows over time. ChatGPT Enterprise pulls from connected apps per-session without persistent indexing.

5-level context hierarchy

Company, Team, Client, Project, and User context layers ensure agents always have the right scope. ChatGPT Enterprise has workspace-level context only.

Authority-aware retrieval

Sempleo scores document authority so approved policies rank higher than draft notes. ChatGPT treats all connected data equally.

Hybrid search with reranking

Sempleo combines vector embeddings, full-text search, and optional reranking for precise retrieval. ChatGPT Enterprise uses GPT-5 semantic search.

Governance and compliance

Workspace admin controls vs agent-level policy enforcement

ChatGPT Enterprise provides solid workspace governance: four roles (Owner, Admin, Member, Analytics Viewer), SCIM provisioning, GPT sharing controls, domain restrictions for GPT actions, and usage analytics. These are admin-level controls for managing who can use what.

Sempleo operates at a deeper level. Every agent run passes through a policy engine that enforces token budgets, schedule restrictions, approval gates, and tool allow/deny lists. Agents can be blocked from running outside business hours, require human approval before executing sensitive actions, or be restricted to specific tools. Every action is logged with 30 to 365 days of retention.

If your governance requirement is "control who has access to AI" — ChatGPT Enterprise handles that well. If your requirement is "control what AI agents can do, when, and with what data" — that is what Sempleo is built for.

Governance features compared

Policy engine

Sempleo enforces token budgets, schedule restrictions, approval workflows, and tool restrictions on every agent run. ChatGPT Enterprise offers workspace-level access controls and GPT management.

Approval workflows

Sempleo can require human approval before agents execute sensitive actions. ChatGPT Enterprise does not have agent-level approval gates.

Audit trails

Sempleo logs every agent action with configurable retention (30-365 days). ChatGPT Enterprise provides workspace analytics and usage tracking.

Tool restrictions

Sempleo allows per-agent tool allow/deny lists including MCP wildcard blocking. ChatGPT Enterprise restricts GPT actions to allowed domains.

Team collaboration

Shared GPTs vs team-scoped agents with shared knowledge

ChatGPT Enterprise supports GPT sharing with assignable permissions — view, edit, or chat-only access. Teams can create custom GPTs for their workflows. When a GPT owner leaves, ownership transfers to a workspace admin. This works for sharing prompts and tools.

Sempleo scopes agents to teams with shared knowledge boundaries. A consulting team shares methodology agents and client knowledge. A sales team shares qualification agents and pipeline data. Knowledge boundaries ensure teams see what they should see. Agent output is consistent because every team member draws from the same methodology and context — not their individual prompting skill.

Collaboration model compared

Team-scoped agents

Sempleo agents are deployed per team with shared knowledge and consistent behavior. ChatGPT GPTs are shared at the workspace level.

Knowledge boundaries

Sempleo scopes knowledge to teams, clients, and projects with RBAC. ChatGPT Company Knowledge respects app-level permissions but has no team-level scoping.

Consistent output

Sempleo agents follow defined methodology and quality standards. ChatGPT output depends on each GPT configuration and user prompting.

Agent marketplace

Sempleo offers a marketplace of pre-built agents organizations can install and configure. ChatGPT Enterprise has an internal GPT store.

Deployment and data sovereignty

Cloud-only vs flexible deployment options

ChatGPT Enterprise runs on OpenAI infrastructure. It does not train on your data by default, offers SSO and SCIM, and provides admin controls. But there is no self-hosted option and no ability to bring your own model.

Sempleo offers self-hosted Docker deployment, Bring Your Own LLM (use your own Anthropic or OpenAI API key so data never leaves your infrastructure), and EU data residency options. For organizations with strict data sovereignty requirements, these are prerequisites, not features.

Deployment options compared

Self-hosted deployment

Sempleo can run on your infrastructure via Docker. ChatGPT Enterprise is cloud-only on OpenAI infrastructure.

Bring Your Own LLM

Sempleo Enterprise supports BYO LLM. ChatGPT Enterprise exclusively uses OpenAI models.

EU data residency

Sempleo supports EU deployment. ChatGPT Enterprise processes data on OpenAI US/global infrastructure.

SSO and provisioning

Both platforms support SSO and SCIM. Sempleo adds WorkOS-powered SAML/OIDC on Professional plans.

Pricing

Transparent per-seat pricing vs enterprise-only quotes

ChatGPT Teams costs approximately $25-30 per seat per month but lacks governance, SSO, and advanced admin controls. ChatGPT Enterprise requires a sales conversation with no published pricing.

Sempleo publishes transparent per-seat pricing: $49/user/month on Starter (minimum 5 seats), $99/user/month on Professional (minimum 10 seats, includes SSO, governance, and API access), and custom pricing for Enterprise. Every plan includes a 14-day free trial. Save 17% with annual billing.

When to choose which

Choose Sempleo when AI needs to work like your team, not just chat with them

Choose ChatGPT Enterprise when your organization needs a powerful, general-purpose AI chat tool for individual productivity — research, drafting, analysis, and ad-hoc questions. It is the best general AI chat product available.

Choose Sempleo when your organization needs governed AI agents that share institutional knowledge, follow team methodology, produce consistent output, and meet compliance requirements. When AI output is a deliverable, not just a draft — Sempleo is built for that.

Sempleo is the right choice when you need

Knowledge

Structured organizational knowledge

Your methodology, client history, and quality standards should inform every AI interaction — not reset with each conversation.

Governance

Agent-level policy enforcement

Token budgets, approval gates, tool restrictions, and audit trails that go beyond workspace admin controls.

Teams

Team-scoped agents with consistent output

When ten team members should produce the same quality of work, not ten different outputs based on individual prompting.

Sovereignty

Data residency and deployment control

Self-hosted, BYO LLM, and EU deployment for organizations that need control over where AI processes their data.

See how Sempleo works for your team

Book a 30-minute demo and we will show you the knowledge engine, governance controls, and agent deployment in action.