Give everyone a chief of staff.
Then connect them into one team.
A 200-person company is not 200 inboxes. It is 200 inboxes plus the enormous tax of keeping everyone aligned. Arlo for Teams gives each person their own Arlo, then connects them so the right knowledge reaches the right people, and nothing else does.
Every employee already uses AI. Alone, in silos, with no memory of each other.
That intelligence is trapped one person at a time. No shared memory, no governance, no record. Company context gets pasted into outside models with nobody watching. You are paying the cost of AI adoption and getting almost none of the compounding benefit.
Arlo for Teams turns scattered, private copilots into one connected team that remembers and stays in bounds.
Three layers. One product.
Not a data platform with a chatbot bolted on. A personal assistant for everyone, connected and governed.
Two Arlos, with different loyalties.
If people believe their Arlo is feeding raw signal to their boss, they will filter what they show it, and the product breaks at the input. So it does not work that way, ever.
Your Arlo is yours
Private to the employee, loyal to the person. It is not a window for management.
Managers see roll-ups, not messages
Opt-in, synthesized summaries. Engineering is blocked on three things, never here is what John said in Slack.
The boundary is architectural
There is no version of Arlo for Teams that reads an employee's personal anything. It is built in, not a toggle.
A personal assistant for everyone.
A clear view for the org.
A daily loop for everyone
The same triage and morning brief, for every person in the company.
Manager roll-ups
See team load, blockers, and at-risk commitments. Abstracted, never raw inboxes.
Cross-team relay
The right person just knows, without anyone writing the update.
Company knowledge, answered
Ask what was decided about X and get a cited answer from what you are allowed to see.
Policy engine
One place to set who sees what, which AI runs where, and what can auto-run.
Immutable audit log
Every access and decision recorded to an append-only history.
Runs where your data has to live.
Deployment is a hosting choice, not a feature tier. You get the full product in all three, and you can move the AI between cloud and your own hardware by configuration, with no rebuild.
Cloud
Single-tenant and managed by us. The fastest way to start.
On-prem
Entirely inside your network. Nothing leaves the building.
Hybrid
Sensitive work stays local, the rest runs in the cloud.
There is no single product that does this today.
The realistic alternative is to assemble it. A search tool, plus a notes AI, plus dashboards, plus a chatbot, plus a data-loss layer. Then you own the seams between them, the gaps, and the absence of any shared governance. Or you build it in-house and maintain it forever.
Arlo for Teams
One package, configured to your org instead of stitched from parts. The defensible value is the whole working together, governed, not any single feature.
Put the whole company
on the same high ground.
Book a pilot and we will scope it to your org, your tools, and your rules.