AINexLayer

Agent Use Cases · AIAgentLayer

Not an AI assistant.A complete AI team.

AIAgentLayer brings specialised AI agents together as one team. A lead agent takes your goal, splits it into tasks, hands each task to the agent whose role fits, checks the work and reports back. You approve what matters.

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  • Free to use
  • Works with Claude, ChatGPT, Gemini and local models
  • Windows and macOS

How it works

How an AI team works in AIAgentLayer

  1. Step 1

    Give the lead a goal

    Write it the way you would to a manager: “Close October and send the management pack.”

  2. Step 2

    The lead plans and assigns

    It breaks the goal into tasks and hands each one to the agent whose role fits. Busy agents queue the work.

  3. Step 3

    Agents work in parallel

    Each agent has its own skills, tools and connected apps. Results go back to the lead, which reviews them.

  4. Step 4

    You approve what matters

    Rework is sent back automatically. Purchases, payments and releases wait for your approval, and every step is logged.

One assistant, or a whole team?

Who does the work
A single AI assistant: One chat answers one question at a time.
An AIAgentLayer team: Specialist agents, each with its own role, skills and tools.
Who plans it
A single AI assistant: You split the job and copy results between chats.
An AIAgentLayer team: A lead agent plans, assigns, reviews and asks for rework.
How much runs at once
A single AI assistant: One thing, while you wait.
An AIAgentLayer team: Several tasks in parallel, on schedules or on events from your systems.
How you stay in control
A single AI assistant: You read every answer.
An AIAgentLayer team: You see the plan and progress, and approve the steps that need a person.

Use cases

Five AI teams you can put to work

Each team is a set of AIAgentLayer agents with real roles, led by Buddy at the centre. Every picture is a live floor: watch tasks move from the lead to the agents and back.

16 agents · led by Buddy

AI Manufacturing Operations Team

Production, quality, maintenance and stock, run as one plant team.

A plant team that plans shifts, watches machine health, holds faulty parts, keeps stock in step and reports every shift, while your people decide.

  • Production Planner
  • Maintenance Engineer
  • Quality Inspector
  • Inventory Controller
  • Procurement Buyer
  • Operations Analyst
  • Alerts turn into a re-planned shift within minutes, not at the next meeting.
  • Suspect parts are held before they ship.
  • A shift report that writes itself, from the plant’s own data.
Explore the team: AI Manufacturing Operations Team
27 agents · led by Buddy

AI ERP & Business Operations Team

Finance, sales, purchasing, stock, HR and compliance, working off one ERP.

A back-office team that works inside your ERP: closes the month, bills orders, matches bills to receipts, keeps HR records in order and prepares the reports.

  • Finance & Accounting
  • Sales Operations
  • Purchasing
  • Warehouse & Stock
  • HR & People
  • Compliance & Approvals
  • Reporting Analyst
  • A faster, calmer month-end close.
  • Unbilled orders and unmatched bills found every day, not every month.
  • Management packs drafted from live ERP data, with notes on every variance.
Explore the team: AI ERP & Business Operations Team
36 agents · led by Buddy

AI Procurement & Supply Chain Team

From the forecast to the truck: planning, buying and delivery in one team.

A supply chain team that forecasts demand, keeps stock at the right level, compares suppliers, drafts purchase orders and books the freight.

  • Demand Planner
  • Inventory Optimizer
  • Supplier Manager
  • Supply Risk Analyst
  • Procurement Buyer
  • Logistics Coordinator
  • Reorders based on the latest demand, not last month’s.
  • Supplier choices that weigh price, lead time and risk.
  • Earlier warning of delays, with a plan B ready.
Explore the team: AI Procurement & Supply Chain Team
49 agents · led by Buddy

AI Software Development Team

From requirement to release: analysis, design, code, tests, security and deployment.

A full engineering team: business analysis, product, architecture, UI/UX, frontend, backend, testing, security and DevOps, working in your repositories and tools.

  • Business Analyst
  • Product Manager
  • Solution Architect
  • UI/UX Designer
  • Frontend Developer
  • Backend Developer
  • QA Engineer
  • Security Reviewer
  • DevOps Engineer
  • Features move from request to staging with every role covered.
  • Every change is reviewed, tested and security-checked before release.
  • Engineers spend their time on architecture and decisions.
Explore the team: AI Software Development Team
57 agents · led by Buddy

AI Industrial Engineering & Project Delivery Team

Tenders, layouts, schedules, drawings and progress, delivered as one project team.

A project team that reads the tender, plans the work, coordinates designs and drawings, matches people to tasks and reports progress against the baseline.

  • Tender Manager
  • Industrial Engineer
  • Project Planner
  • Resource Manager
  • Design Coordinator
  • Document Controller
  • Progress Monitor
  • Scope captured from the tender with nothing missed.
  • One register of drawings and revisions that is always current.
  • Weekly progress against the baseline, without a day of collecting.
Explore the team: AI Industrial Engineering & Project Delivery Team

Under the hood

Built on what AIAgentLayer does today

Every page marks each capability, so you can see what ships now and what needs your systems connected.

  • Team leads and an org chart

    A lead runs each team. Managers assign work to their own reports, up to two levels deep.

  • 120+ built-in skills

    ERP, finance, DevOps, sales, bids and tenders, research and planning, loaded when the agent needs them.

  • Your apps, connected

    Gmail, Outlook, Teams, Slack, Jira, Confluence, GitHub, GitLab, SharePoint, Salesforce, Figma and more.

  • Coding agents as one team

    The Agentic IDE runs Claude Code, Codex and Gemini together: they plan, build and review each other’s work.

  • Runs on schedules and events

    Routines start work on a timer, a webhook, or an MQTT, Kafka or RabbitMQ message from your systems.

  • Approvals and a full log

    Risky actions wait for a person, and every task, result and decision is kept.

Available now
Ships in AIAgentLayer today: built-in skills, connectors, the Agentic IDE and team leads.
Connect your system
Works once your system is connected, through an MCP server, MQTT or Kafka events, an API or AIERPLayer.
Rolling out
Built and being rolled out. Ask us for the current status.

Build your first AI team

Start with one team and one workflow. Download AIAgentLayer free, or book a demo and we will map your process to an agent team with you.

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