Glean finds.
Leena AI acts.
Both ship as "AI for employees." One surfaces docs. The other resolves the work — passwords, laptops, PTO, expenses — end to end, in one conversation. Here's where we diverge.
Two products. Two very different jobs.
Both call themselves AI for employees. They do very different things.
Action-first agentic platform.
Pre-built AI Colleagues that resolve work end-to-end across HR, IT and Finance. Native MCP + A2A. 70%+ self-service resolution.
Search-first knowledge platform.
Sharp RAG over your knowledge base. Surfaces documents and drafts summaries. Doesn't create tickets, update systems or close the loop — users leave Glean to act.
Feature comparison
Same question, different answers. Where the two platforms diverge on the
dimensions enterprise buyers weigh hardest.
The questions that come up most
You'll hear these across the C-suite. Here's how we'd answer them — straight.
"We already use Glean for search."
Keep it for retrieval. Add Leena to actually resolve. When Glean finds the password reset SOP, Leena runs it. Different jobs, no overlap.
"Can you really go live in days?"
Yes. 200+ pre-built enterprise integrations. No indexing phase, no admin access provisioning per tool, no relevance tuning. Glean rollouts run weeks to months - ours run hours to days.
"Search is cheaper. Why pay for action?"
Tickets deflected is a metric for tools that can't resolve. We commit 70%+ self-service resolution. The cost question rewords itself in quarter two.
"How fast does this start showing return?"
Live in days, not quarters. The build phase Glean rollouts include — indexing, tuning, integrating to ITSM and HRIS — isn't on your invoice with us.
"Will my people actually adopt another tool?"
People use whatever closes their request fastest. Resetting a password in one turn beats reading three articles. Adoption follows resolution — and resolution is faster on Leena.
"Can it really handle benefits, PTO, onboarding?"
Yes — by role, location and tenure. Contextual Memory carries entitlements and history across turns. Eligibility is a lookup, not a guess.
Where Leena wins, clearly
If three or more of these describe your situation, this is the easier conversation.
The KPI is tickets resolved, not tickets deflected.
Employee requests cross multiple systems — not just one knowledge article.
Need go-live in days, not a multi-quarter indexing and tuning project.
In-house agents (Copilot Studio, Now Assist, Agentforce) need to call enterprise tools via MCP today.
Frontline, deskless or field workforce that needs voice, mobile or kiosk support.
HR, IT, Finance automation is the priority — not a side project.
Pick your next stop
Hand-picked next reads — short on filler, long on what matters.
Leena AI vs. Copilot Studio
One gives your team tools to build agents. We ship AI Colleagues already trained - live in weeks.
Moveworks
For CXOs deciding where the Agentic layer sits -inside the ITSM, or above the whole stack.
AOP Studio
AOPs are SOPs for AI Colleagues. The playbook they execute on - written in plain english.
Workflow Studio
1000+ pre-built tools across 200+ enterprise systems. Auto-bound to AOPs, deterministic by design.
Knowledge Studio
Enterprise AI knowledge layer - cleans, parses, and continuously health-checks every source.
Customers
Trusted by 500+ enterprises world-wide. Powering 20M+ employees across functions.
Agentic AI Architecture
The platform Fortune 500s use to build, govern, and run enterprise AI Colleagues.
Frequently asked questions
What's the difference between Leena AI and Glean?
Is Leena AI a Glean alternative?
Does Leena AI do enterprise search like Glean?
How fast can I deploy Leena AI compared to Glean?
Does Leena AI support MCP and A2A protocols?
How many integrations does Leena AI have compared to Glean?
Can Leena AI replace Glean for HR, IT and Finance?
Is Leena AI better for ticket resolution than Glean?
