Solutions · Operations
AI Operations Automation
AI operations automation is the coordination layer of an AI workforce: turning objectives into tasks, assigning them to the right agents, managing hand-offs, catching exceptions and reporting. In Eligoo that layer is Atlas, the AI operations manager — the only employee that delegates — together with a shared task board, scheduled automations and an approvals queue.
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What is AI operations automation?
Every business runs on a loop of objectives, tasks, hand-offs and reviews. Most of the loop is coordination: deciding what matters this week, who does what, what is blocked, what needs a decision. AI operations automation puts an AI agent in charge of that coordination for the work other AI employees do — so that a goal you state once becomes a stream of tasks, each with an owner, and you see the exceptions rather than the noise.
Atlas is that agent. It receives your objectives, budgets and constraints, decides priority and sequencing, assigns tasks to Maven, Sage, Pixel, Radar, Hook, Ledger and Boost, monitors progress, resolves conflicts, reprioritises and reports. It may reprioritise within approved goals and budgets; it may not change targets, budgets, pricing, offers, customer promises or access permissions without your approval.
How the operations layer works
- 1
Objectives
You give Atlas goals in plain language. Goals are reviewed on a schedule so progress and drift are noticed without you asking.
- 2
Plan
Atlas produces a weekly growth plan: priorities, who does what, what is waiting for a decision.
- 3
Assign
Tasks go to the employees with enough detail to execute independently. Each appears on the shared board with a status.
- 4
Hand off
When an employee finishes, its output is attached and the next task is triggered; delegated completion triggers Atlas to report back.
- 5
Automate on a schedule
Recurring work runs as automations at a set time — a daily prospecting refresh, a weekly report — without a prompt.
- 6
Handle exceptions
Blocked tasks, low-confidence data, unusual replies and boundary hits surface in the exception list or the approvals queue.
What you get
Weekly growth plan
Priorities and assignments for the week, with what changed since the last one.
Task board
Every task with an owner, a status — Working, Planning, Awaiting approval, Idle, Blocked, Error — and its outputs.
Approvals queue
The outside-world actions waiting for a decision, with the payload each one would execute.
Executive summary and risk register
What happened, what is at risk, what needs you.
Scheduled automations
Recurring tasks at a set time, owned by the right employee.
Activity log
Decisions and notable actions recorded for audit.
Worked example
Example: one objective, one week
You tell Atlas: build a pipeline of qualified meetings with packaging converters in two states before the end of the month.
- 1.Atlas assigns segment research to Maven, list building to Radar, sequence copy to Sage and, once the list exists, the sequence and a calling campaign to Hook.
- 2.Radar finishes; Atlas reports the list size and confidence and asks you to approve enrolment.
- 3.Hook runs the approved sequence; replies that are not routine appear as exceptions; a request for pricing is escalated to you.
- 4.Ledger reconciles the CRM daily and reports meetings held by segment on Friday.
- 5.Atlas writes the weekly plan: continue the converting segment, pause the other, propose a second sequence for review.
Outcome. You made three decisions — approve enrolment, answer a pricing question, choose the next segment — and the rest ran.
Pricing
Eligoo is priced per workspace, not per seat. A plan includes a monthly allowance of credits that operations consumes as it works — model tokens, call minutes, generated media and published posts each draw from the same balance — and top-up packs add more when you need them. Model calls run on your own AI provider accounts, so those costs stay on your existing bills.
Current plans, trial terms and pack prices are published live on the pricing page.
AI process automation vs workflow tools
Workflow tools execute a flow you designed in advance. Atlas decides the next step at run time within your goals, which is why it can handle a segment that stops converting or a task that gets blocked. The deterministic parts — timed sends, scheduled automations, campaign windows — are still plain scheduling.
Actions that reach the outside world — sending an outreach sequence, launching or changing ad spend, publishing outside an approved calendar, starting a calling campaign — wait in an approvals queue until a person approves them.
Frequently asked questions
What does Atlas actually decide?
Which objective has priority, which employee handles what, in which order, when to pause a workstream and when to escalate — within the goals and budgets you approved.
Can Atlas change my targets or budgets?
No. Targets, total budgets, pricing, offers, customer promises, access permissions and strategic markets require your approval.
How do I see what is happening?
The task board shows every task and status; the approvals queue shows what is waiting; the weekly plan and executive summary give the narrative.
Can I automate recurring work?
Yes. Automations run at a set time and create the task for the right employee — a daily list refresh, a weekly report, a monthly calendar.
What if an employee gets stuck?
The task shows as Blocked or Error with the reason, and it appears in Atlas’s exception list and report. Failed approved executions return to pending rather than retrying silently.
Give Atlas one objective
See how it becomes a plan, a set of tasks and a short list of decisions for you.
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Last updated 23 September 2026