Guides
Enterprise AI search vs process mining: what’s the difference?
Enterprise AI search answers “how do we do this, and where is the document?” by reading documents. Process mining answers “how does the process really run, and where does it stall?” by reading event logs from systems such as ERP and CRM. Glean is a well-known example of the first and Celonis of the second. Duaer puts knowledge answers and follow-up on due work together for mid-sized teams that need some of both.
What is enterprise AI search?
Enterprise search finds information inside a company’s own systems, databases, and repositories. Enterprise AI search goes a step further: it answers directly, cites the source, and respects each document’s permissions. Glean is a leading example; it says it connects to 275+ apps and offers search, an assistant, and agents.
What is process mining?
Celonis defines process mining as a technology for modeling, analyzing, and optimizing business processes. It extracts event logs from information systems and rebuilds how a process actually runs end to end, a “digital twin” of the business. Typical uses are order-to-cash (O2C) and purchase-to-pay (P2P), with data from ERP and CRM systems such as SAP and Oracle.
Celonis now describes itself as the platform to industrialize enterprise AI and launched its Context Model in 2026. It says it mainly serves enterprises with complex processes, prices by scale, and offers a free plan to start.
What is the difference between the two?
- What they read: AI search reads documents, sheets, and wikis. Process mining reads event logs from ERP and CRM systems.
- What they answer: AI search answers “how do we do this, and where is it?”. Process mining answers “how does it really flow, where is it slow, and where does it stray from the standard?”.
- Who uses them: AI search is for every employee. Process mining is mainly for process owners, analysts, and leadership.
- How you start: AI search needs document sources connected. Process mining needs structured system data, usually shaped into a data model first.
Where does Duaer fit?
Duaer doesn’t do process mining and doesn’t analyze ERP event logs. It does two everyday things:
- Answers when you ask: knowledge base answers with citations that keep source permissions. See AI answers with citations and no hallucination.
- Follow-through on what’s due: items with a date and an owner become card rules, reach the owner before the date, and every decision is recorded. See Follow up on overdue work without chasing people.
Which one do you need?
- To find bottlenecks in big processes like O2C or P2P with mature ERP data: process mining, where Celonis is the better fit.
- Thousands of employees and many apps that need one place to search: enterprise AI search, where Glean is the better fit.
- A mid-sized team with documents in Feishu, a shared drive, or Microsoft 365 that also needs samples, calibrations, and contracts followed up: Duaer.
Sources
Facts about Glean and Celonis come from their own sites and docs, checked on October 8, 2026:
Questions
Can Duaer do process mining?
No. Duaer doesn’t analyze ERP event logs. It answers questions from your knowledge base and puts due and overdue work in front of its owners. For process mining, a tool like Celonis fits better.
Is the Duaer knowledge base a kind of enterprise AI search?
Yes. The Duaer knowledge base finds answers in connected documents within each person’s permissions and cites them. Duaer adds follow-up on work that comes due.
In this section
Glean alternatives for mid-sized companies: where Duaer fits
Glean is an enterprise AI platform that says it connects to 275+ apps, with search, an assistant, and agents, and calls itself built for enterprise from day one. Mid-sized companies looking for Glean alternatives usually want something faster to start that answers questions and also follows up on what’s due. Duaer is one option: cited, permission-aware answers from your documents, plus card rules that put due items in front of their owners.
Knowledge baseAI answers with citations and no hallucination: how Duaer does it
To get AI answers with citations and without made-up facts, do three things: answer only from documents the person may read, mark which file each statement comes from, and give no answer when there is no source. The Duaer knowledge base answers this way by default.
Follow-throughFollow up on overdue work without chasing people: how Duaer does it
To follow up on overdue work without chasing, each item needs one owner, a clear date, and something that asks for an outcome once the date passes. Duaer does this with card rules and the employee portal: overdue items show up for their owner every day, what gets worse if it waits comes first, and every decision is recorded.
Follow-throughExpiry date tracking and reminders with Duaer card rules
To track expiry dates and get reminders before certificates, contracts, or equipment lapse, paste the list into a Duaer card rule and set how many days ahead to remind. Duaer puts a card in front of each owner every day before the date. One click records what was done, and the reminders stop.