Enterprise AI Assistants buyer guide
Review the wider capability model, products, evaluation criteria and procurement questions for this category.
Home / Enterprise AI Assistants / Custom agents / workflows
Enterprise AI Assistants · Assistant & Work Capabilities
Custom agents / workflows
Create, configure or run organization-specific agents, automations or multi-step workflows.
5 products evaluated5 supported0 partial / conditional0 not yet verified0 not supportedAvg evidence confidence 99%
Product support comparison
Recorded product facts are shown separately from buyer-specific recommendation scores. “Not yet verified” means evidence is incomplete; it does not mean the product lacks the capability.
| Product | Status | Confidence | Implementation | Evidence | Limitations / notes | Last verified |
|---|---|---|---|---|---|---|
CE ChatGPT Enterprise OpenAI | Supported | 99% | Not recorded | 1 source | OpenAI documents ChatGPT Work and workspace agents for customized multi-step business workflows. | Sep 18, 2026 |
CE Claude Enterprise Anthropic | Supported | 99% | Not recorded | 1 source | Claude Enterprise includes Cowork, Claude Code, skills/plugins and connected-task workflows across enterprise tools. | Sep 18, 2026 |
GE Gemini Enterprise Google Cloud | Supported | 99% | Not recorded | 1 source | Gemini Enterprise supports no-code workflow agents plus organization-managed Google, partner and custom agents. | Sep 18, 2026 |
M3 Microsoft 365 Copilot Microsoft | Supported | 99% | Not recorded | 1 source | Microsoft documents creation and use of agents through Copilot Studio with Microsoft 365 Copilot. | Sep 18, 2026 |
PE Perplexity Enterprise Perplexity | Supported | 98% | Not recorded | 1 source | Perplexity Enterprise includes Computer for multi-step research, analysis, asset generation and scheduled automations across connected tools. | Sep 18, 2026 |
Buyer research paths
Use this capability as one requirement inside the wider category evidence model. The links below are research and comparison paths, not a product recommendation.
Software evidence benchmark
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Evidence methodology
See how support status, confidence, freshness and Unknown ≠ Unsupported are handled.
How to use this comparison
Support status
Supported, conditional, unknown and not-supported states are kept distinct so missing evidence is not treated as a negative fact.
Confidence
Confidence reflects the strength of the recorded evidence for this capability, not overall product quality.
Fit for your company
A product can strongly support this capability and still be a poor overall fit due to deployment, integrations, security, region, budget or other must-haves.
Independent software advice
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