Source coverage
Does the product support every source, object type, and permission model required for the first use case?
Comparison
Compare enterprise AI by the work you need done
Use the same criteria for every vendor: source coverage, permissions, answer evidence, action control, deployment, and operating ownership.
Compare by operating requirement
Start with the questions that change the decision.
No product wins every category. Weight these criteria against your systems, controls, and deployment boundary.
Permission enforcement
Where are source permissions checked, how quickly do changes propagate, and what can administrators audit?
Answer evidence
Can users inspect citations, retrieval scope, and uncertainty before relying on an answer?
Action control
Which writes require approval, who can approve them, and what appears in the audit trail?
Model and deployment
Can the product satisfy your model policy, data residency, network, and hosting requirements?
Work ownership
Can the product own a recurring responsibility with its own trigger, budget, and escalation path, or does every task start with a person typing a prompt?
What sets Linkence apart
AI that works everywhere you do
Complete enterprise context
Permission-aware retrieval connects your tools into one context layer, so every answer is grounded in your real content and activity, not just matching documents.
Open and flexible
Model-agnostic across 14+ LLMs and cloud-flexible. Run Linkence as managed SaaS or self-hosted in your own AWS, GCP, or Azure account.
AI coworkers, not just chat
Hire a coworker for one recurring responsibility. It starts from an app event or schedule, runs on its own budget, pauses sensitive actions for approval, and escalates to a named human.
Enterprise-grade security
Zero-trust principles, permission enforcement, tenant isolation, approval controls for sensitive actions, and complete audit logs across agent runs.
Comparison questions
Direct answers before you compare.
Each answer reflects the documented product and deployment boundaries described in this comparison.
How is Linkence different from a standalone chatbot?+
Linkence is a governed AI operations workspace, not just a chat box. It retrieves permission-scoped company context, prepares work, can pause sensitive writes for approval, records audit logs, and stays model-agnostic so you are not limited to one provider.
Which enterprise AI tools does Linkence compare to?+
Teams most often evaluate Linkence against ChatGPT Enterprise, Microsoft 365 Copilot, Claude Enterprise, and Glean. Linkence differentiates on AI coworkers that own recurring responsibilities, permission-aware retrieval, approval-gated actions, deployment flexibility, and model choice.
Do these tools offer AI coworkers?+
No. ChatGPT Enterprise, Microsoft 365 Copilot, Claude Enterprise, and Glean all start work from a person in a chat or a configured workflow. A Linkence AI coworker starts from an app event or schedule, owns one responsibility with a defined deliverable and its own budget, pauses sensitive actions for approval, escalates to a named human, and delivers results into Slack, Teams, email, and the website widget.
Can Linkence be self-hosted?+
Yes. Linkence runs as managed SaaS or self-hosted in your own cloud (AWS, GCP, Azure) or VPC, with local inference via Ollama available for air-gapped requirements.
COMPARE ON YOUR DATA
Bring one responsibility. See a coworker run it.
Bring the systems, controls, and success criteria that matter. We will show where Linkence fits and where it does not.