AI notetakers record your meetings. AI Workers run them.
DelegateWorker deploys named AI participants into your organization's meetings, calls, and workflows. They join, speak, execute a defined role, and deliver structured outcomes. Across Zoom, phone, and the web.
The cost of the status quo
Your executives' most expensive hours are going to meetings that do not need them.
Almost 40%
of executive time goes to making decisions, and executives believe most of that time is poorly used.
Source: McKinsey, "To unlock better decision making, plan better meetings"
61%
of executives said at least half the time spent on decision making was ineffective.
Source: McKinsey, "What is an effective meeting?"
~530,000 days
of managers’ time per year is lost to inefficient decision making at a typical Fortune 500 company, roughly $250 million in wages.
Source: McKinsey estimate
23 hours
per week is the average time executives now spend in meetings, up from under 10 in the 1960s.
Source: Harvard Business Review
$399 billion
per year is the estimated cost of unnecessary meetings to US businesses.
Source: Industry estimate
The market answered with notetakers. Notetakers document waste. They do not remove it.
The category shift
This is a category replacement, not a feature upgrade.
Every wave of enterprise software has a moment where the incumbent category becomes obsolete overnight. Notetakers watch. Assistants wait to be asked. AI Workers join as named participants with a role, speak, run the session, and deliver structured outcomes.
AI notetaker
Transcribes and summarizes what happened. Useful for records and recall. It cannot speak or act inside the workflow.
AI assistant
Responds when a person asks for help. Useful for questions and drafting. It stays passive until someone prompts it.
AI worker
Joins as a named participant with a role, speaks, runs the session, and delivers structured outcomes. It behaves like a deployable teammate, not a passive tool.
A notetaker tells you what happened in the meeting. An AI Worker is why the meeting produced an outcome.
Where executives deploy AI Workers
One deployment layer. Every leadership function.
CEO / Chief of Staff
- Pain
- Sitting in recurring syncs only to stay informed.
- Deployment
- An AI Worker attends recurring reviews in the CEO’s place, participates per brief, and delivers a decision-ready summary.
- Outcome
- Hours per week returned to the top of the organization.
CRO / Sales leadership
- Pain
- Pipeline qualification consumes senior seller time.
- Deployment
- AI sales workers run first-touch discovery and qualification on Zoom, phone, and inbound web, then hand qualified buyers to closers.
- Outcome
- Senior sellers only talk to qualified pipeline.
CFO
- Pain
- No visibility into what meeting hours actually cost.
- Deployment
- AI Workers absorb the recurring coordination layer and produce auditable structured outputs.
- Outcome
- Measurable reduction in meeting hours per executive, reportable as cost.
CHRO / Talent
- Pain
- First-round screening burns hundreds of manager hours per hire cycle.
- Deployment
- AI recruiting workers run consistent structured screens at any volume, on video or phone.
- Outcome
- Every candidate screened the same way. Managers only see the shortlist.
COO / Operations
- Pain
- Standups, syncs, and reviews exist to keep leads aligned, and consume the leads to do it.
- Deployment
- Operations workers attend, capture blockers and owners, and route structured output to the team’s stack.
- Outcome
- Alignment without attendance.
Customer Success leadership
- Pain
- Check-in coverage does not scale with the book of business.
- Deployment
- AI workers run scheduled customer check-ins and onboarding sessions, and escalate risk signals to humans.
- Outcome
- Full coverage of the long tail.
One worker, every channel
Deploy once. Meet your organization wherever work happens.
The same worker, the same brief, the same structured outcomes, on every channel.
Microsoft Teams deploys through your own tenant in 10 to 14 days.
How an enterprise pilot works
Scope one outcome. Deploy in two weeks. Measure the ROI.
01
Scope
Pick one use case and one team. Define the outcome metric: hours returned, screens completed, or pipeline qualified.
02
Deploy
Workers configured and live inside 2 weeks. Microsoft Teams runs through your own tenant if required.
03
Measure
Structured outcome logs make the ROI auditable. Expand by use case, not by seat.
Enterprise pricing is per use case per month, on annual agreements. Implementation is included with annual agreements.
Trust and control
Named. Visible. Scoped to exactly what you approve.
Workers announce themselves as AI in every session, named and visible as participants.
You define exactly when a worker may speak, per role, per meeting type.
Structured outputs only go where you route them.
Customer-configurable data retention windows, including auto-delete of meeting summaries.
Data processing agreements available. Application infrastructure runs on SOC 2 Type II and ISO 27001 certified cloud infrastructure.
SOC 2 Type II in progress, target Q3 2026. Bring-your-own-key encryption on the enterprise roadmap.
Request our current security documentation and data processing agreement at hello@delegateworker.com.
The fastest way to evaluate an AI Worker is to talk to one.
No deck. No sales call. Open the link and have a conversation. It will show you what it can do, and answer your questions itself.