AI Native
Agile platform for human + AI software delivery
Bring human experts and specialised AI agents into one clear, agile delivery flow built around Azure DevOps.
ACortex coordinates work from story to outcome, keeps people in control of critical decisions, and makes project activity, agent instances, quality, usage, and delivery evidence visible in one place.
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One platform. One delivery flow.
ACortex connects your Azure DevOps project to a coordinated delivery team of human experts and AI agents.
Work moves through visible assignments, handoffs, approvals, and reviews, with dashboards for the project, every run, and each agent instance.
Humans set direction and remain accountable; agents accelerate the repeatable work.
Azure DevOps Connected
Keep Azure DevOps as the source of truth for projects and work while ACortex adds coordination, live visibility, and governed automation around it.
Agile Delivery
Organise delivery around stories, assignments, handoffs, approvals, and feedback so people and agents work in the same iterative rhythm.
Specialist AI Roles
Use role-based AI agents for analysis, development, evaluation, and platform operations, each working within defined scope and goals.
Human Control
People remain accountable for priorities, protected actions, approvals, and authoritative quality decisions.
Live Visibility
Project, run, and instance dashboards show what is active, who owns it, where work is waiting, and the evidence behind each result.
Governed by Design
Versioned policies, human checkpoints, immutable history, and quality and usage signals keep automated work reviewable and accountable.
Platform capabilities
ACortex is one software delivery platform, not a collection of separate projects. It simplifies the path from an Azure DevOps work item to a reviewed outcome by coordinating human and AI contributors, surfacing live progress, and keeping control with the people responsible for delivery.
Agile delivery, centred on Azure DevOps
- Link each client to a verified Azure DevOps organisation and project.
- Bring work items, sprints, repositories, pull requests, and delivery references into one operating context.
- Keep project identity and source records anchored in Azure DevOps.
- Turn stories into explicit assignments for human specialists or role-based AI agents.
- Manage handoffs, waiting states, approvals, and rework as part of the delivery workflow.
- Keep every activity tied to its project, work item, contributor, and run.
- Follow runs, steps, tool calls, artefacts, usage, and errors as work progresses.
- Connect implementation evidence back to the Azure DevOps story and pull-request flow.
- Receive real-time dashboard updates as committed activity is projected.
- Route protected actions and uncertain outcomes to a named reviewer or controller group.
- Allow authorised people to approve, reject, or request rework with a recorded reason.
- Use delivery, quality, and usage signals to understand where the flow can improve.
- Refine roles, policies, prompts, and team configuration without losing the audit trail.
Human and AI teams, working as one
- Bring together human specialists and AI roles for analysis, development, evaluation, and platform operations.
- Register agent capabilities and assign the right role and instance to each activity.
- Keep business context, technical judgement, and final accountability with people.
- See which agents and platform services are registered, available, assigned, or working.
- Inspect runtime identity, version, capabilities, heartbeat, and current project scope.
- Separate the team role people understand from the runtime instances operating behind it.
- Track assignments and accepted or rejected handoffs as durable workflow events.
- Send approval requests to the responsible person or controller group with a visible SLA.
- Resume work only after the recorded decision is returned to the coordinator.
- Assess completed agent work separately from the agent that produced it.
- Keep automated recommendations distinct from the human Accepted, Rejected, or Rework outcome.
- Add new agent roles and capabilities without changing the way the project is managed.
- Choose models and policies to balance quality, speed, and cost for each delivery context.
A control tower for every project
- See current work, assignments, delivery status, approvals, and team activity in the active project scope.
- Monitor agent and service instances, health, capabilities, workload, and project assignment.
- Receive live updates without turning the dashboard into a second Azure DevOps board.
- Drill into steps, tool calls, artefacts, classified activity, token usage, and errors for each run.
- Follow correlation from project and work item through assignment, agent activity, and outcome.
- Preserve immutable decision and activity history for review and audit.
- Review independent quality recommendations, supporting evidence, and authoritative human outcomes.
- Apply versioned governance policies and approval rules to protected actions.
- Make model usage and cost context visible when approved pricing is configured.
Frequently Asked Questions
A simple introduction to how ACortex fits into an existing software delivery organisation.
Contact Us
Talk to us about your software project, your Azure DevOps delivery flow, or how a human + AI team could work in your organisation.
Complete the form below and we will get back to you as soon as possible.
