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Meet The agent platform for Scheduling

The first scheduling agents you can hire.

You stopped doing your own scheduling years ago. Zara runs your entire team's calendars. Mia is the AI executive assistant for one leader. Agents your executives and EAs direct, not replace. Built on the engine 128 enterprises trust since 2020. From $795 per agent/month.

Hire Zara today →

30-day money-back guarantee. No questions, no pro-rate.

128Enterprises
90Countries
6yrIn production
10Agents in development
The agents

Eleven agents. One engine.

Mia is your AI executive assistant — one person, one calendar. Zara is the AI scheduling platform for your entire team. Start with the one that fits, add a specialist when your work shifts into a vertical. Same ANCI AI engine underneath, vertical-specific training and personality on top.

Zara, the AI scheduling platform for teams and organizations ● Live now
Zara
For Teams & Organizations

“The AI scheduling platform for your entire team.”

BoldEnergeticProactive
Mia, the AI executive assistant for individual executives Launching July 2026
Mia
For Individual Executives

“Your AI Executive Assistant.”

AdaptableCommunicativeCurious
Bought by the company. Executive teams, HR, recruiting, and operations.
Built for
Bought by the person. Founders, CEOs, VPs, and consultants whose time is the product.
Every calendar in the organization — one platform, shared scheduling policies.
Scope
One person, one calendar — work and personal, handled together.
Hiring loops, sales demos, cross-team and customer meetings across timezones.
What she runs
Board meetings, investor calls, reschedules, follow-ups, and protected focus time.
Your EAs and Chiefs of Staff. Zara handles the volume; they keep the judgment.
Directed by
You. She learns your preferences like a personal EA who never sleeps.
$795 / monthIntroductory · First 50 customers
Price
$995 / monthIntroductory · First 50 customers
30-day money-back guarantee
No questions, no pro-rate
See everything Mia does →

The progression: an executive starts with Mia the team adopts Zara the company scales on one ANCI AI engine.

Eight specialist agents in development

Kai
Kai
Sales & Revenue Teams
Determined · Resourceful · Loyal

Keeps your pipeline moving. Coordinates demos, multi-stakeholder meetings, and follow-ups so deals don't stall.

$795 / mo introductory
Meet Kai →
Ray
Ray
Recruiting & Talent Acquisition
Charismatic · Organized · Confident

Runs your hiring loops end to end. Hiring managers focus on candidates, not calendars. Recruiters finally do recruiting again.

$795 / mo introductory
Meet Ray →
Ben
Ben
M&A, Legal & Enterprise
Diplomatic · Balanced · Team-Oriented

Coordinates scheduling across 4–6 organizations and 15–30 people, without exposing confidential details.

$1,495 / mo introductory
Meet Ben →
Finn
Finn
Legal Operations
Disciplined · Ambitious · Responsible

Schedules depositions, hearings, and case management meetings with zero tolerance for missed deadlines.

$995 / mo introductory
Meet Finn →
Tess
Tess
Healthcare & Medical
Dependable · Practical · Calm

Schedules patient appointment chains (specialist, lab, follow-up) with insurance pre-auth handling and no-show prediction.

$795 / mo introductory
Meet Tess →
Luna
Luna
Education & Academic
Intuitive · Empathetic · Supportive

Makes office hours approachable. Books tutoring with context, sends encouraging reminders, manages professor availability.

$595 / mo introductory
Meet Luna →
Max
Max
Operations & Team Management
Detail-Oriented · Efficient · Methodical

Optimizes your team's internal scheduling. Keeps the cadence running and identifies meetings that should be emails.

$795 / mo introductory
Meet Max →
Nova
Nova
Events & Conferences
Independent · Optimistic · Energetic

Manages speaker schedules, multi-track sessions, attendee RSVPs, and vendor coordination.

$995 / mo introductory
Meet Nova →
The engine

ANCI AI is the engine underneath every agent.

Multi-tenant scheduling infrastructure that handles the calendar complexity human schedulers spend hours on every day. Build your own agent on top, or hire one of ours.

Read developer docs →

Every calendar provider

Google, Microsoft, Apple, every system your customers actually use. One API, all providers.

Multi-tenant from day one

Built for SaaS scale. Six years and 128 enterprises of multi-tenant production.

MCP-compatible

Your agent calls ANCI AI through the Model Context Protocol that agent builders already use.

Production grade

Enterprise SLA, SOC 2, data residency options. The scheduling layer your customers can rely on.

For developers

Build your own agent. Skip the calendar code.

ANCI AI handles the calendar complexity. You focus on your agent's domain logic. Multi-tenant, API-first, MCP-compatible. The same engine that runs every ANCI AI agent runs yours.

RESTStandard HTTPS endpoints, OpenAPI 3.1 spec, SDKs for Python and TypeScript
MCPModel Context Protocol server. Plug ANCI AI into any MCP-compatible agent runtime.
WEBHOOKEvent-driven callbacks for booking, rescheduling, conflict, and confirmation states.
Request developer access →
Schedule a meeting via ANCI AI
// Your agent calls ANCI AI
const meeting = await anci.schedule({
  agent: 'zara',
  participants: [
    'alex@acme.com',
    'sam@acme.com'
  ],
  duration: 30,
  window: 'this week',
  constraints: {
    timezone: 'America/Los_Angeles',
    avoid: ['lunch', 'fridays']
  }
});

// ANCI AI handles the rest
return meeting.booked_slot;
How ANCI AI works with your team

One agent. Your whole team.

Zara is hired by your company, not by a single person. Once she's connected to your workspace, she's available to every executive, EA, and Chief of Staff who needs her. One subscription. One price. The leverage scales with your team, not the cost.

The Executive

Names Zara in a meeting and forgets about her. The calendar runs at the altitude the work demands. The investor reply mid-flight, the board chair's four dates, the leadership offsite across timezones — all handled before the executive notices anyone touched them.

The Chief of Staff

Stops dispatching meetings. Starts orchestrating outcomes. Zara handles the coordination layer, the CoS holds the strategic layer. The two of them together run the executive's team — the part that thinks at company altitude, not the part that confirms Tuesday at 3.

The Executive Assistant

Stops being the bottleneck and becomes the partner. Zara handles the volume. The EA handles the judgment — the VIPs, the politically sensitive reschedules, the cadence calls that need a human's read of the room. The EA's job gets better, not smaller.

The Leadership Team

Cross-executive scheduling happens without email chains. Five direct reports finding a window for the staff meeting? Done overnight. The leadership team finds time together at the speed of intent, not at the speed of the busiest EA.

A typical mid-market team
  • 6 executives
  • 4 EAs supporting them
  • 1 Chief of Staff
  • ~30–40% of each EA's day spent on scheduling
Loaded cost of that scheduling work ~$120K/year
The same team with Zara
  • One Zara
  • Serving the whole team
  • EAs reclaim 60–70% of their day
  • CoS focuses on strategy
Zara, introductory $9,540/year · ~8% of the team's scheduling cost

Zara serves teams of 5–15 executives well. Larger organizations typically deploy a combination: Zara across the broader leadership team, Mia dedicated to the CEO or top executives, and Ray serving the recruiting org. Your CSM helps you size the right deployment during onboarding.

Per-seat scheduling tools scale with your team size. ANCI AI doesn't. A 10-executive team pays the same as a 5-executive team. The leverage compounds as you grow.

Why now

The Goldilocks Window is open. It won't stay open.

For the next two to four years, AI agents are not competing against other AI agents. They are competing against labor. A $96,000-a-year coordinator role can be replaced by a $795-a-month agent that works 24/7, never quits, and improves every quarter.

That window is open right now. It will close once foundation labs ship into scheduling, or once every vertical has three credible agent offerings competing on margin. Until then, the math favors the customer overwhelmingly, and the vendor with the right infrastructure captures four times the contract value.

Agents today aren't competing against other agents. They're competing against labor. — The Goldilocks Window, TEAMCAL AI Blog

ANCI AI is built for this window. Per-agent pricing anchored to the labor cost it replaces. Production-grade infrastructure that took six years to build. A team that has already done the work of bringing scheduling agents into 128 enterprises.

Read the full framework on TEAMCAL AI →
Introductory pricing · Limited launch cohort

One price. One agent. Hired, not configured.

You don't buy seats. You don't pay per usage. You bring on an agent the way you'd bring on a team member: one price, locked in, runs immediately.

Most agents launch at $795/month introductory. Mia, the personal executive assistant, and specialty agents (Ben for M&A) carry higher pricing. Volume agents (Luna for academic) start lower. Every agent comes in below 15% of the loaded cost of the role they replace.

$795 From · Per agent · Annual contract

The cost of one week of an EA's loaded time, locked in for the year.

The work, handledProduction-trained agent, vertical-tuned, deployed inside your first week.
The infrastructure, provenMulti-tenant scheduling engine, six years of production data, enterprise SLA.
The humans, namedYour CSM, your forward-deployed engineer, by name, for your first 30 days.
The risk, removed30-day money-back guarantee. No questions, no pro-rate.
How we stand behind Zara

If Zara isn't running your calendars the way we promise by day 30, we refund every dollar. No questions, no surveys, no exit interview. The guarantee is here because hiring an agent should feel as safe as hiring a person, and that means knowing you can change your mind.

The team behind ANCI AI

Six years. 128 enterprises. The infrastructure under every agent.

ANCI AI is built by the team that built TEAMCAL AI, the vertical scheduling SaaS that has been running production calendar workflows for 128 enterprises across 90 countries since 2020.

What we learned from six years of vertical scheduling data is the grounding layer that makes ANCI AI's agents work in the field. A foundation model is a commodity. A decade of edge cases, schemas, and persona-level pain knowledge is not.

Looking for per-seat SaaS scheduling? Visit TEAMCAL AI →

128Enterprise customers
90Countries served
2,963Users in production
2020Building scheduling AI since