After every customer call.
Recap drafted for approval. Account context updated. Action items filed against owners. The next meeting proposed. Our own team runs this on every customer call.
Work · Meetings
Turn meeting recordings into transcripts, follow-ups, and memory
Athena joins calls, produces cited transcripts, runs your post-call workflows, and makes every conversation searchable with timestamps.
Ten agents on the platform run roughly half of Athena Intelligence's own operations; post-call follow-ups are one of them.
- Zoom
- Google Meet
- Microsoft Teams
- Bot-free desktop recorder for bot-restricted enterprises
- Timestamp citations
- Follow-ups run as workflows
The problem
Recordings sit unused when context gets lost
Notetakers give you a summary and a to-do list. Then the to-do list sits there. The recording sits in a folder nobody searches. The next person on the account starts from zero.
The value is the follow-up that actually happens and the context everyone can find months later.
Attendance is the input; follow-up and searchable memory are the outputs.
How it works
Attend. Cite. Act. Remember.
Attend. Invite the agent to Zoom, Meet, or Teams, or use the bot-free desktop recorder where bots are prohibited.
Cite. Speaker-identified transcript. Every claim in the summary links to a timestamp you can click.
Act. After the call, an Agent Operating Procedure (AOP) runs the follow-ups you defined: recap email for approval, CRM update, action items filed, next meeting proposed.
Remember. The call joins the organization's memory with its permissions. Ask about it in a month, in a year, from any surface.
People and agents
What people and agents each do
Meetings. A meeting bot joins calls from the invite. Transcript, notes, decisions, and follow-ups, searchable across every meeting.
| Capability | People can | Agents can | Together |
|---|---|---|---|
| Meetings | Run the meeting; review and send the follow-ups. | Take the transcript, pull decisions and owners, draft the recap and next steps. | Follow-ups wait in drafts until a person sends them. |
Anything a person can do here, an agent can do with the same permissions, and both land in the same audit trail.
Use cases
What teams run after calls end
The new hire who has heard every call.
Ask what happened on every call with an account before you joined. Get the answer with timestamps. A finance team used it to ramp a hire on a client's history in an afternoon.
A company brain from four years of calls.
Ingest years of recordings and a large email corpus with permissions inherited from the source. Under a week for 5,000+ meetings and 100,000+ emails at a global manufacturer's procurement team.
A wake phrase in the room.
Say a wake phrase you configure; the agent adds an item to the follow-up list or answers a factual question from your documents without anyone leaving the call.
Bot-restricted enterprises.
Where meeting bots are prohibited, a desktop recorder captures locally with the same transcript, citations, and follow-ups.
What customers say
“It's good to understand the capability of the platform. That how far, and how quickly you guys can get these things going [...] that has been impressive overall.”
“Lets us get a lot more out of our data than [...] We can sit on top of all of the data in [our data warehouse] as opposed to just, like, our little ingested, you know, three gigabytes semantic models. I think we have a lot of power here.”
“Gave Athena the spreadsheet, explained which column I was trying to figure out, and then ten secs it told me... exactly how the calculation was based on the other data.”
“He wrote the entire stuff. By itself. And I was there, and I was thinking, alright. If I had to write all this stuff, I mean, I would've spent days, days, days.”
“I send that to the programmer and he said, alright. I read your file. I copied the section of the code because he has the right interface, and it works. Wow. Just like magic.”
“One workspace. All different, let's say, avatars of their output data. Right? Suddenly, it's dashboard. Excel is here. PowerPoint is when it's all together. It's very impressive.”
“Use the Athena platform probably closer to the concept and how it was designed, like, with the spaces architecture where you've got a set of primitives and capabilities, and you bring together the right set of capabilities to solve a task.”
“Digital worker, it gets spun up, it gets given access to the toolkits that it needs. It gets given access to the data that it needs. Just exists for the period it needs to exist to perform the task. And then it gets torn back down again afterwards.”
“I like that direction, that concept of the agent is the agent. It becomes an entity in its own right with its own ownership and its own missioning, and you get rid of the gray area and the blurry lines.”
“It was PowerPoint... there was no kind of distinction between the two. So that was killer. And I literally had a meeting on it today, and people said how great it was.”
Verbatim from customer calls. Customers anonymized.
Governance
Permissions, approvals, and what to plan for
Recordings and transcripts are assets with owner and permissions like any other.
Follow-up actions run as AOPs with approval steps and budgets.
Retention and hard delete on your schedule.
Consent and recording notices follow your policy; the bot announces itself.
What to plan for
Speaker identification is good, not perfect, on crowded calls with cross-talk. Citations still land on the right minute; speaker labels occasionally need a correction.
FAQ
What does Athena do with meetings?
Records and transcribes them, drafts summaries and follow-ups, and makes past meetings searchable.
Can it act on what was agreed?
Yes. It can draft follow-up emails and tasks for approval.
Who can see meeting content?
Access follows your sharing settings.
One platform underneath
AGS · Athena Governance System
Records every change by a person or an agent, rolls back one contributor's edits without losing anyone else's, and keeps the model, instructions, and sources behind each agent action.
Palladium · deployment
How the platform is deployed: Athena's managed cloud, your cloud on AWS, GCP, or Azure, on-prem, air-gapped, or GovCloud. Same platform in every option.
How it fits together
Build, Work, and Data on top; 150+ connectors and every surface in and out; one map of the whole platform.
The rest of the platform