Context-aware search
Reads across your connected inbox, CRM, and files, the same lookup a search tool does, as step one.
Glean Alternative That Takes Action, Not Just Search
Comparison — — by Mahmoud Zalt
The best Glean alternative for teams that want work done, not just found: Sistava hires AI Employees that search, decide, and finish the task.
Glean answers a real question well: where does the information live across all the tools my company uses. If you have ever lost an hour hunting through Slack, Drive, and a wiki for one decision that someone made three months ago, you understand why enterprise search exists. The honest limit is what happens after the answer appears. Glean hands you the finding and stops. You still open the doc, write the follow-up, and update the system. This article is a fair comparison for the team that wants the step after the search to happen too.
Sistava takes the opposite design bet. Instead of a search box that returns knowledge, it ships pre-built AI Employees that treat search as one skill inside a larger job. When you ask a Sistava sales Employee about a lead, it does not just surface the last conversation. It reads the context, drafts the next email in your voice, logs the touch to your CRM, and schedules the follow-up. The finding is a means, not the deliverable. That difference is small in a demo and large in your week, because the work between the answer and the outcome is exactly the work you were trying to hand off.
At a Glance
- Search + do
- Sistava finishes the task, not just the lookup
- 49/mo
- Entry plan with a full AI Employee
- Plain English
- How you brief and correct the Employee
- Same day
- Time from hire to first finished task
What is Glean actually built for?
Glean is an enterprise work assistant built on top of company-wide search, and it deserves genuine credit for it. It connects to your Slack, Google Workspace, Confluence, Jira, and dozens of other systems, builds a permissions-aware index, and lets anyone ask a question in natural language and get a sourced answer. For a large organization drowning in scattered documents, that is a real productivity unlock, and the retrieval quality is among the best in the category. If your core problem is that knowledge is buried and people cannot find it, Glean is a serious, well-built choice.
The honest boundary is that Glean is a knowledge layer, not a labor layer. It is designed to tell you things, and it assumes a human will take the next action. That is the right design for a company where the bottleneck is finding information. It is the wrong design for a solo founder or a lean team where the bottleneck is doing the work once the information is in hand. When you are the person who has to write the email, file the report, and chase the reply, another great answer is not the help you needed.
The clearest way to feel the gap is to watch what each product does with a single request. Ask Glean to prepare for tomorrow's renewal call and it returns the account notes, the last tickets, and the contract terms, neatly sourced. Ask a Sistava AI Employee the same thing and it returns those findings plus a drafted call agenda, a summary of open risks, and a follow-up email ready to send. Both read the same context. Only one of them produces the artifact you were actually going to make with that context.
Where does each platform win?
Neither product is strictly better, and pretending otherwise would be dishonest. They are built for different bottlenecks. Glean wins when the pain is that a large workforce cannot find what it already knows. Sistava wins when the pain is that a small team cannot get through the work even when the information is right in front of them. The table below is the comparison I would have wanted before choosing, written for a founder or lean team weighing find versus finish.
Comparison
| Before | After |
|---|---|
Benefits
Drafting and delivery
Turns the finding into the email, report, or record update you actually needed, ready for your approval.
Tool actions
Logs to the CRM, schedules the follow-up, and files the update, so the task closes instead of stalling on you.
Memory across tasks
Remembers the account, the thread, and your corrections, so it does not rediscover the same context each time.
How do you move from a search tool to a teammate that finishes work?
Switching from a search layer to an action layer sounds like a migration, but for a small team it is closer to a hiring decision. You are not re-indexing your company. You are describing the job you kept doing after every search and letting a pre-built Employee take that job. The steps below are how I onboard a role that owns the whole loop, and none of them require a rollout project.
Comparison
| Before | After |
|---|---|
One caveat worth stating plainly: if your only problem is knowledge discovery across a very large workforce, and every employee is perfectly capable of acting once they find the answer, then a dedicated search platform like Glean may be the cleaner fit and Sistava's action layer will be more than you need. That case is real and it is honest to name it. It is just not the situation most founders and lean teams are in. Their people are not short on answers. They are short on hours, and hours are what an action-taking Employee gives back.
Frequently asked questions
FAQ
Is Sistava a true Glean alternative?
For teams that want work finished, yes. Glean is an enterprise search and answers platform that surfaces information across your connected apps. Sistava hires AI Employees that search the same context and then complete the task, drafting the email, updating the record, or writing the report. If your bottleneck is finding knowledge, Glean fits. If your bottleneck is doing the work, Sistava fits.
Can a Sistava AI Employee search across my apps like Glean does?
Yes, search is one of its skills. An AI Employee reads across the tools you connect, such as your inbox, CRM, and files, to gather context before it acts. The difference is that it treats that lookup as the first step of a job rather than the final answer it hands back to you.
Do I need coding or a rollout project to start?
No. You hire a pre-built AI Employee, connect the accounts it needs in a couple of clicks, and write a one-paragraph brief about your business. That brief is closer to a job description than a configuration. Most teams have an Employee finishing real tasks the same day, without an indexing project.
What does Sistava cost compared to Glean?
Sistava starts at 49 per month with credits bundled into the plan and no per-seat surcharge to add a teammate to the workspace. Glean is priced as an enterprise, seat-based platform. For a solo founder or lean team, the bundled-credit model is usually simpler to predict.
Does the AI Employee act without my approval?
Only where you allow it. You decide which actions run automatically and which pause for your review. Most teams keep sending, publishing, and irreversible steps behind an approval on day one, then loosen the reins on the routine work once they trust the output.
The clean way to decide is to name your real bottleneck. If your people spend their day hunting for information they already have somewhere, a great search layer like Glean will pay for itself and you should look hard at it. If your people find the answer quickly and then still have a pile of drafting, updating, and following up waiting for them, the search was never the problem, and a teammate that finishes the task is the shorter path. Hire the role that owns the whole loop, write the paragraph that describes the job, and let the Employee do the part that used to land back on your desk.