Microsoft 365 Copilot, ChatGPT Enterprise, and Wissly: A Practical Evaluation
Compare enterprise AI candidates using the same workflow, sources, permissions, processing requirements, and evidence. Understand integration options without assuming one tool is required.
Microsoft 365 Copilot, ChatGPT Enterprise, and Wissly can be evaluated for workplace AI. Their suitability depends on the actual task, available source connections, data environment, and processing requirements.
Start with a concrete workflow. A team reviewing a customer project may need messages, approved proposals, and revenue records. Identify where each source lives, who can access it, and which information must appear in the result. Then evaluate candidate tools against that same scope.
Microsoft 365 Copilot: assess the workspace and its connections
Microsoft 365 Copilot provides assistance within the Microsoft productivity environment. Existing document locations, organizational identity, and working habits can influence its fit.
Its data scope is not limited to files already inside Microsoft 365. Microsoft documents Copilot connectors for Windows file shares, including configuration and source-permission requirements. A non-Microsoft repository therefore does not automatically create a need for another product.
Check the specific connector's prerequisites, permissions, supported content, and synchronization. Microsoft's connector permission guidance also explains why configuration matters: broad visibility settings can expose content beyond the intended audience.
ChatGPT Enterprise: evaluate connected knowledge as well as conversation
ChatGPT can support writing, analysis, and research. For organizational information, OpenAI's Company Knowledge documentation describes supported connected sources and source-permission enforcement. Available sources depend on the plan, workspace configuration, authorization, and app requirements.
Existing supported connections may meet a company-knowledge workflow. Systems outside that supported scope may require another integration path, which should be included in the evaluation and cost estimate.
OpenAI's enterprise privacy commitments describe business data handling. Model-training policy and processing location are separate questions. A no-training commitment does not by itself meet a requirement to run all processing within an internal network.
Wissly: evaluate repositories and deployment together
Wissly connects folders, documents, NAS, and drives to search content and inspect source evidence. It can help teams find relevant documents without first remembering their file location, then use the material for summaries and document drafts.
ERP, groupware, business SaaS, organizational identity, and audit requirements are scoped around the customer's data and access model. Confirm which connections and outputs are included, require configuration, or require development. If the task requires a PowerPoint or spreadsheet file, include its structure and review steps in the acceptance criteria.
Wissly offers SaaS, Private Cloud, and on-premise options. On-premise deployments use local AI within the network. Customers can evaluate an integrated Wissly-in-a-Box configuration or SI deployment on existing infrastructure. Installation and operating responsibilities need to be agreed in either case.
Compare the same decisions
| Decision | What to verify for every candidate |
|---|---|
| Source access | Actual repository, system version, API, and access path |
| Permissions | User identity mapping, allowed content, revocation behavior |
| Freshness | New files, revisions, deletion, and source-link changes |
| Evidence | Answers supported by the cited text and accessible originals |
| Processing | Extraction, indexes, model requests, logs, and storage locations |
| Output | Required draft or file format, review steps, and unsupported actions |
| Operations | Credential renewal, updates, incident support, and recovery |
A connector list is a starting point, not acceptance evidence. A source may have the same product name but a different deployment version, authentication scheme, or document model.
Use a representative task for the pilot
Suppose a team wants to summarize customer feedback alongside last quarter's revenue. This is an illustrative workflow, not a product demonstration or customer result.
For each candidate, connect or provide the approved sources through a supported path. Ask the system to identify feedback themes and the relevant revenue evidence separately. Only then request a combined draft.
Check that the draft does not turn customer opinions into financial facts or invent a cause for a revenue change. Inspect citations, period definitions, and calculation inputs. If a needed source is unavailable, the system should make that gap clear.
Repeat the task with another user's permissions and after a source update. Use the enterprise RAG evaluation guide to record failures and required fixes.
Decide whether to keep, extend, or add a tool
An organization may already have a product that meets its first workflow. Another connection or a narrower process change might be sufficient. Multiple products can also serve different approved workflows, but each introduces administration and data-handling responsibilities.
Avoid selecting a second platform merely because documents sit outside one ecosystem. Verify supported connections first. If local model execution, particular document formats, or repository access remain unmet requirements, evaluate alternatives against those specific gaps.
For Wissly, bring the target workflow, representative file types, source locations, access rules, and network requirements to an Enterprise consultation. Compare deployment options and security requirements before finalizing the scope.
