Glean, Perplexity Enterprise, and Wissly: Choosing an AI Search Workflow
Evaluate connected workplace knowledge, internal and external research, and document repositories across Glean, Perplexity Enterprise, and Wissly using sources, permissions, and deployment.
An employee looking for an old project decision and an analyst researching a new market both need information, but their source requirements differ. Compare Glean, Perplexity Enterprise, and Wissly by the approved workflow and actual repositories rather than treating each product as belonging to a single fixed category.
Internal search and external research can overlap. A business review may need both, but an external example cannot establish the company's approved policy, and internal records cannot establish the entire market. Answers should make their evidence boundaries clear.
Glean: evaluate connected workplace context
Glean's connector documentation explains how connected systems provide content and source permissions for retrieval. Its Enterprise Graph description discusses relationships and metadata across that connected foundation.
This is relevant when project knowledge spans documents, work items, and collaboration records. Evaluate the sources your employees actually use and their identity mappings.
Do not assume Glean only connects cloud SaaS. Its connector hub includes enterprise systems and custom connector paths. Verify the source version, authentication, synchronization, and access model. The existence of a connector does not establish compatibility with every customer environment.
Similarly, a workplace-search orientation does not imply that web information or research features are absent. Confirm the capabilities and settings needed for the selected task.
Perplexity Enterprise: assess internal and external research
Perplexity Enterprise provides internal knowledge and application connections alongside external research. A team using both internal documents and public information can evaluate these capabilities together.
Its official file-connection guidance covers sources such as Drive, SharePoint, OneDrive, Box, and Dropbox. Compare the actual supported connection and its permissions against the source environment.
For external research, inspect publication dates, source quality, and whether the cited page supports the answer. Citations make verification possible; they do not establish accuracy by themselves.
For a source not covered by the relevant connection documentation, obtain confirmation rather than assume support. Exporting files for upload and continuously reflecting repository changes create different operating responsibilities.
Wissly: assess document discovery and processing location
Wissly connects folders, documents, NAS, and drives to find content and inspect the original evidence. It is a candidate when users spend time locating files before they can begin their analysis.
Wissly supports OCR for scanned and image PDFs, including document content with tables. Extraction results depend on original quality and format. Test representative documents rather than assume uniform accuracy.
ERP, groupware, business SaaS integrations, identity controls, and audit requirements are scoped around the organization's data and access environment. Confirm the agreed connections and output formats, and include human review of summaries and document drafts in the workflow.
SaaS, Private Cloud, and on-premise deployment options are available. On-premise uses local AI within the network. Organizations can evaluate Wissly-in-a-Box or SI deployment on existing GPUs and servers, with installation and support scope agreed after review.
Compare the same requirements
| Requirement | What to verify |
|---|---|
| Data sources | Repository, deployment version, supported connection, exclusions |
| Context | Documents and relationships needed to answer the selected question |
| Access | Source permissions, identity mapping, shared results, revocation |
| Updates | Changes, deletion, moved files, stale links, failure handling |
| Evidence | Relevant passages, versions, dates, units, and missing information |
| Deployment | Processing and storage locations, external dependencies |
| Operations | Customer and vendor responsibilities, support and recovery |
These criteria do not produce a performance ranking without testing. Use the same files and questions to evaluate candidates and report the conditions alongside any measurements.
Include existing ChatGPT capabilities in the comparison
A company evaluating ChatGPT Enterprise alternatives should first define the unmet requirement. OpenAI's Company Knowledge guidance describes supported organizational sources and their access controls. Assess these connections against the required repositories before estimating additional integration work.
The reason to evaluate another candidate may be a specific repository, document workflow, local processing requirement, or operating model. Training policy and processing location are separate conditions. Compare those requirements directly.
Test one workflow before broad rollout
For an illustrative business review, separate three tasks: retrieve an approved internal proposal, research an external development, and draft a comparison using both sources.
Check that the internal answer uses the current authorized document. Check the external answer's publication date and evidence. In the combined draft, verify that outside information is not represented as company performance or policy.
Revise a source, revoke an account's access, and repeat the questions. Record retrieved content, answers, and citations separately. The RAG evaluation guide provides a practical record for this process.
Make ownership part of the decision
Identify who manages source accounts, detects failed ingestion, approves updates, and responds when an API or permission structure changes. Successful initial retrieval does not establish ongoing freshness.
Compare the same workload and period when estimating licenses, integrations, infrastructure, evaluation, and support. The deployment guide can help clarify processing and operating responsibilities.
For Wissly, bring the workflow, representative file types, source locations, user access rules, and network conditions to an Enterprise consultation. Select the candidate that can support the task with verifiable evidence and an operating scope the organization can maintain.
