What is Fairday?
Fairday is an AI-assisted operations platform for building, running, and improving how work gets done inside an organization.
Fairday at a glance
Fairday combines process design, service desk operations, organizational accountability, AI agents, goals, and issue tracking into one workspace. Teams can document repeatable workflows, trigger them from real requests, assign ownership, monitor execution, and improve outcomes over time.
Fairday is designed to act as an operating system for internal work, especially where requests, approvals, handoffs, compliance, service delivery, or recurring execution need structure.
What Fairday can be used for
Fairday helps organizations turn operational knowledge into live systems that can be documented, triggered, owned, reviewed, and improved over time.
Who Fairday is for
Fairday is suitable for organizations that need structure, repeatability, and visibility in internal operations. It is especially valuable when work spans support, operations, leadership, and other shared service functions.
Getting started
The best first implementation is usually narrow and practical. Start with one service desk, one important process, and one owner who can refine the system from real usage.
Overview
The Overview page is the command center for operational activity. It gives teams a high-level view of processes running, processes completed, service desk requests, and processes deployed so they can quickly understand system health and workload movement.
Operations
Operations is the process system inside Fairday. It is where teams create, edit, publish, version, and run structured processes. Use Operations when you need to document a repeatable workflow, define handoffs, turn source material into a process draft, assign owners, configure execution logic, and maintain versions over time.
Process drafting from source material
Fairday supports turning source material into a written process draft. This makes it easier to start from existing content instead of writing processes from scratch, especially when the process already exists informally across notes, links, or operational guidance.
Process version control
Processes in Fairday support version history. Each version stores the historical state of the process so teams can review changes over time, inspect the creator and creation time, and restore earlier versions if needed.
Service Desk
Service Desk is the request intake and triage system in Fairday. It allows teams to receive requests, classify them, route them, and optionally connect them to operational processes. Use it when users need to submit internal requests, ask for help from a shared team, trigger operational work from a service interaction, or receive AI-assisted routing and support.
Service Desk + Process Automation
One of Fairday’s most powerful features is the ability to connect service desk requests to processes. A service desk can be linked to one or more processes, and when a request is submitted, the AI agent tied to that desk can analyze the request to determine whether a linked process should be triggered.
An IT Helpdesk is linked to a Password Reset Process Macbook and a Laptop Issue Troubleshooting Process. A user submits: “Help me return my macbook password, use a process if possible.” Fairday can analyze the ticket, match it to the correct linked process, start the process run automatically, inform the requester that the specific process was triggered, and resolve the ticket once the linked process completes.
Service Desk Requests
Each service desk request has its own detail page. This page acts as the working record for the request, giving teams one place to understand the state of the ticket and any workflow that was used to resolve it.
Goals
Goals gives organizations a place to define strategic outcomes and operational milestones. It supports both company-level and department-level goals so strategy stays visible inside the same system as execution.
Issues
Issues is the problem-tracking system inside Fairday. It allows anyone in the organization to report an issue and maintain a written record of the problem over time, including version history for issue descriptions.
Agents
Agents lists the AI agents operating inside Fairday. Each agent has a role, scope, configuration, and budget so teams can understand what AI is doing and govern it clearly.
Organization
Organization is the people directory and involvement reporting layer. It gives visibility into who is in the workspace, what role they have, and how they contribute across processes, requests, and operational outcomes.
Teams
Teams help organize responsibility across the workspace. They are used to group users and control which teams are responsible for specific work.
Settings
Settings governs workspace-level configuration. This is where the broader structure of the workspace is tuned so the rest of the platform behaves correctly for the organization.
MCP Integrations
Fairday exposes a remote MCP endpoint so external AI clients can work directly with your workspace. Use it to create service desk requests, issues, goals, and AI-generated process drafts, or to query workspace status from ChatGPT apps, Codex, Claude, or any other MCP-compatible client.
Fairday MCP now supports OAuth for ChatGPT apps and personal bearer tokens for Codex, Claude, and manual clients. Personal tokens are user-scoped, org-scoped, and should be treated like credentials. Revoke any token you no longer want external tools to use.
Typical End-to-End Use Cases
These guides show how Fairday is typically used in practice. They are intentionally procedural so teams can map them to real adoption workflows inside the product.
Product Positioning Summary
Fairday is best understood as a platform for operational execution. It helps organizations define how work should happen, connect requests to execution, use AI responsibly inside operations, assign ownership clearly, preserve written history, and improve visibility across people, processes, and outcomes.
Fairday is especially valuable for organizations that are moving from informal work toward a repeatable, auditable, AI-assisted operating model.