AOT Technologies

Enterprise software for workflow automation and AI-assisted decisions

AOT Technologies builds software that helps enterprises and public bodies automate work and move toward what it calls agentic decision intelligence, meaning systems that combine data, analytics, business rules and AI to improve decisions. The company says it develops the platforms behind this automation as well as implementing it, and that its products form a composable ecosystem that works with different licences and avoids vendor lock-in. Its practitioners work with client IT teams, managed service providers or IT consultants so that changes are adopted and maintained. It also works with large technology vendors, including hyperscalers and enterprise software companies, to link open source and commercial software.

The open-source products

formsflow.ai is its flagship open-source, low-code platform. It lets teams build intelligent forms, send them along configurable processes, automate decisions and follow progress on a single dashboard, with the option of keeping a human in the loop.

node-wire is a Python-based connector platform. Rather than brittle point-to-point integrations, teams use a standard framework to build connections that are secure, resilient, observable and reusable across cloud platforms, enterprise applications, AI tools and custom software, including AI agents that act inside a process.

m8flow is a lightweight Python-based workflow engine. It is compliant with BPMN, which means process models use a portable, standard notation. It is built to coordinate people, systems and autonomous AI agents within a governed flow.

Services around the products

The company groups its work into data and AI, digital and AI transformation, and cloud readiness for AI, and also describes services for the public sector. The stated aim is to help organizations become AI-ready without a large budget, modernizing workflows and preparing data first. It also promotes sustainability practices in software, pointing to open source software, copyleft licences and locally run language models.

A telehealth example

An earlier project shows the low-code approach at work. A Vancouver startup needed a clinic management and telehealth app that supports the Oscar EMR system, letting patients book video, phone or in-person visits and review records under one login. Programming each patient questionnaire took 30 to 40 hours, and each change added more. AOT therefore built a low-code form engine with drag-and-drop construction, data validation, default values, conditional display and custom JavaScript, so office staff and doctors could manage questionnaires themselves.