Acta.ai elevates meeting intelligence with specialized AI agents designed for specific business functions. Our domain-specific approach ensures more accurate, relevant, and actionable outcomes across your organization.
Domain-Specific AI Agents
Unlike generic AI note takers, Acta.ai offers agents trained on the language, tasks, and context of specific business functions:
Recruiting Agent
Transforms interviews into candidate evaluations, complete with ATS updates and culture-fit scoring.
Sales Agent
Extracts buying signals, updates CRMs, and drafts follow-up emails after calls.
Customer Support Agent
Understands issue resolution, triggers ticket updates, and escalates when necessary.
Meeting Agent
Captures decisions, owners, and deadlines—then sends structured summaries to drive accountability.
Ticketing Agent
Reviews and prioritizes tickets, suggests resolutions, and flags unresolved issues.
Follow-up Agent
Detects next steps and automates follow-up emails/messages.
Note-taking Agent
Real-time note capture synced with Notion, Slack, or Google Docs.
Insight Agent
Pulls intelligence from conversations across teams—surfacing trends, risks, and opportunities.
Real-Time Workflow Integration
Acta.ai doesn't just listen—it acts. All agents are built to integrate with tools your teams already use, including:
That means no more context switching. Information is captured, interpreted, and routed where it belongs—automatically.
Insights That Drive Strategy
With Acta.ai's Insight Agent, you're not just analyzing a single meeting—you're understanding patterns across hundreds of them. Whether it's product feedback from sales calls or candidate trends from interviews, your leadership team can act on data, not guesswork.
Built for Outcomes, Not Just Notes
Most AI tools stop at documentation. Acta.ai's agents go further by:
- Generating structured action items
- Automating follow-ups and next steps
- Driving resolution and accountability
The result? Fewer missed handoffs, shorter sales cycles, better hiring, and happier customers.
Example: Sales Agent in Action
During a sales call, the Sales Agent automatically:
- Identifies that the prospect mentioned budget approval in Q3
- Highlights competitor concerns around implementation timeline
- Updates the CRM with deal size, timeline, and next steps
- Drafts a follow-up email with specific addressing the implementation timeline concern
- Sets a reminder for the account executive to check in before the Q3 budget meeting