What is a managed AI employee?

A role-specific AI system that performs one recurring business function inside your workflow, with ATI handling implementation, management, and ongoing improvement.

Is this just a chatbot?

No. The role is built around execution inside tools and workflows, not just conversation. It can read inputs, make bounded decisions, update systems, and escalate when needed.

Do we need a large company for this to work?

No. Smaller teams often benefit faster because one managed AI employee can remove a meaningful amount of repetitive operational work.

Can ATI manage it after launch?

Yes. That is part of the model. We do not just deliver a build and disappear. ATI manages performance, improvements, and workflow reliability over time.

Managed AI employees

Build a 24/7 managed AI employee

ATI builds and manages role-specific AI employees for sales, support, and operations. Instead of hiring another full-time rep for repetitive workflow execution, you get a system that operates around the clock and keeps improving.

Get started See the model Pricing

24/7
Coverage across nights, weekends, and spikes: $2,000
One-time setup to build the employee: $500/mo
Ongoing management and improvement

Example role

ATI AI support rep

24/7 active

Reads: Tickets, chats, docs, account context, knowledge base
Does: Answers, routes, escalates, updates systems, reports status
Managed by ATI: Monitoring, tuning, issue review, workflow improvements

Outcome

Faster response coverage without shift constraints.
Lower manual load on your in-house team.
A role ATI can keep optimizing over time.

Why this exists

Most teams do not need more software. They need another worker.

The difference is that this worker is built around one function, runs continuously, and is actively managed by ATI.

Hiring more people is slow

Recruiting, onboarding, training, and management overhead delay the outcome you actually want: more work completed reliably.

Generic AI tools are not employees

A prompt tool can answer a question. It does not own a workflow, use your stack properly, or improve inside a managed operating process.

Most businesses need execution, not experiments

ATI builds a role-specific AI employee that handles one real function with guardrails, reporting, and active management.

Operating model

How a managed role compares to a traditional hire

This is not a claim that AI replaces every person. It is a better operating model for narrow, repetitive, process-driven work where consistency and coverage matter.

Dimension	Traditional hire	ATI AI employee
Availability	Limited to shifts and staffing	24/7 managed coverage
Ramp	Hiring, onboarding, supervision	ATI builds and deploys the role
Consistency	Varies by person and workload	Repeatable workflows and logic
Management	Internal manager time required	ATI monitors and improves the role
Scalability	Usually linear with headcount	Scale by process and orchestration

The numbers

The economics break fast

For repetitive, process-driven work, a managed AI employee does not need shifts, rehiring, or extra headcount to absorb more volume. A like-for-like comparison, no asterisks.

Dimension	Human employee	ATI AI employee
Annual cost	$30,000 - $90,000	$6,000/yr + API usage
Hours per week	40, minus PTO, sick days, and meetings	168, every week
Ramp-up	2-4 weeks of onboarding	48 hours
2 AM coverage	Not available	Already working
Consistency	Monday energy is not Friday energy	Identical quality, every time
Sick days	Yes	No
Needs managing	Yes	Minimal, and ATI handles most of it
Scale to 2x volume	Hire another person	No additional headcount
Ownership	They quit, tribal knowledge leaves	Every file and config stays yours

Role types

Start with one managed AI employee

The strongest deployments begin with a single role that has clear boundaries, measurable output, and enough repeated work to justify continuous operation.

AI sales rep

Respond, qualify, research, and keep pipeline moving

Ideal for repetitive lead qualification, follow-ups, CRM updates, and prospect research that should not depend on constant manual effort.

Inbound qualification
Lead enrichment
CRM updates and follow-up routing

AI support rep

Most common start

Handle repeat support work without queue fatigue

A managed AI employee can answer standard requests, pull from knowledge sources, escalate edge cases, and keep your team focused on harder tickets.

Customer response handling
Knowledge-based replies
Escalation and ticket triage

AI operations rep

Run back-office workflows that should already be automated

For admin-heavy teams that need a role to collect inputs, move data between systems, trigger actions, and generate status updates around the clock.

Internal process execution
Status reporting
Multi-tool workflow coordination

Pricing

A simple entry point for your first AI employee

$2,000
One-time build fee: $500/mo
Management, monitoring, and improvement

Start your first role

Hosting

Self-hosted

Run the employee in your environment

ATI builds the AI employee to run inside your own infrastructure and accounts, giving your team direct hosting control.

Fully managed by ATI

Let ATI host the entire deployment

We host and manage the full stack for you, including runtime operations, updates, and ongoing maintenance.

Managed model

ATI does not just build the role. We manage it.

You are not buying access to a tool. You are getting an operating role designed for your business, maintained by a team that knows how these systems drift, break, and improve.

Role-specific design instead of a generic chatbot
Integration with your actual tools and workflows
Managed monitoring, iteration, and performance tuning
Human review paths for edge cases and exceptions
A clear path from one AI employee to an AI-enabled team

Mission control

Manage your AI employee from a custom control layer

ATI can include a mission control dashboard so your team can monitor activity, review outputs, and manage how the employee behaves in production. You get operational visibility instead of a black box.

Live visibility into current conversations, tasks, and workflow status

Controls for escalation rules, prompts, and operating boundaries

Review logs and performance trends for your AI employee

A central interface to manage one instance or multiple future roles

How it runs

From one role to a real AI workforce

Choose the role

We define one narrow business function with clear inputs, actions, escalation paths, and success criteria.

Build the employee

ATI connects the systems, trains the logic around your workflow, and gives the role structure, boundaries, and operating rules.

Manage performance

We monitor behavior, review output quality, tune prompts and rules, and keep the employee useful instead of stale.

Expand capacity

Once one AI employee proves value, we can add adjacent roles or extend the same role across a larger workflow surface.

FAQ

Questions before you commit to the model

What is a managed AI employee?: A role-specific AI system that performs one recurring business function inside your workflow, with ATI handling implementation, management, and ongoing improvement.
Is this just a chatbot?: No. The role is built around execution inside tools and workflows, not just conversation. It can read inputs, make bounded decisions, update systems, and escalate when needed.
Do we need a large company for this to work?: No. Smaller teams often benefit faster because one managed AI employee can remove a meaningful amount of repetitive operational work.
Can ATI manage it after launch?: Yes. That is part of the model. We do not just deliver a build and disappear. ATI manages performance, improvements, and workflow reliability over time.

Next step

Pick the role that eats the most of your team's week

Tell us which function is repetitive enough to hand over. We will scope the role, define its boundaries, and show you what it costs to run.

Estimate the ROI first Book a strategy call