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SimpleAct.de
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SimpleAct is an AI governance and EU AI Act compliance platform that helps organizations manage AI systems, risk classifications, governance workflows, audit documentation, incidents, and compliance evidence in one centralized workspace.
The platform enables companies to build structured and operational AI governance processes without relying on fragmented spreadsheets or manual tracking. Organizations can document AI use cases, maintain AI inventories, classify systems by risk, track approvals and changes, manage incidents and CAPA workflows, and prepare for regulatory requirements such as the EU AI Act.
SimpleAct is designed for businesses that want practical, scalable, and understandable AI governance processes across departments like HR, automation, operations, analytics, and internal AI initiatives.
Key features include:
SimpleAct focuses on making AI governance operational, transparent, and manageable for modern organizations.
LinearB SimpleAct.deLinearB is recommended for software development teams, engineering managers, and project managers who want to improve visibility into their development processes, reduce cycle times, and boost overall productivity. It's particularly useful for teams that rely on agile methodologies and need to continuously monitor and improve their workflow efficiency.
SimpleAct.de's answer:
SimpleAct focuses on making AI governance and EU AI Act compliance operational instead of overly theoretical or enterprise-complex. While many governance platforms are built primarily for large corporations and consulting-heavy processes, SimpleAct is designed to give organizations a practical and structured way to manage AI systems, risks, governance workflows, incidents, audit evidence, and compliance activities in one centralized platform.
The platform combines AI inventory management, EU AI Act risk classification, governance workflows, operational controls, incident management, and audit documentation into a single workflow-oriented solution. This allows companies to move away from fragmented spreadsheets, disconnected documents, and manual compliance tracking.
SimpleAct is built to help organizations establish scalable AI governance processes that teams can actually use in daily operations โ with a strong focus on clarity, usability, and practical implementation.
SimpleAct.de's answer:
Organizations choose SimpleAct because it focuses on practical and operational AI governance instead of overly complex enterprise processes. The platform helps companies manage AI systems, EU AI Act compliance, governance workflows, incidents, audit evidence, and operational controls in one centralized workspace that is designed to be understandable and usable in daily operations.
Unlike many competitors that are heavily consulting-driven or built primarily for large enterprises, SimpleAct emphasizes clarity, scalability, and implementation speed. Teams can quickly document AI systems, classify risks, manage approvals and governance workflows, track compliance activities, and maintain audit-ready documentation without relying on fragmented spreadsheets or disconnected tools.
SimpleAct is especially valuable for organizations that want a structured and scalable way to operationalize AI governance while staying flexible, efficient, and focused on real-world workflows.
SimpleAct.de's answer:
SimpleAct is designed for organizations that use or manage AI systems and need a structured way to handle AI governance, compliance, and operational oversight. The primary audience includes companies preparing for the EU AI Act, businesses operating high-risk AI systems, and organizations that want to establish scalable governance processes around AI usage.
Typical users include compliance teams, legal departments, risk and governance managers, IT and security teams, HR departments using AI-based recruiting tools, and operational teams responsible for internal AI initiatives or third-party AI vendors.
SimpleAct is particularly relevant for small and mid-sized businesses as well as growing enterprises that need practical AI governance workflows without the complexity of large consulting-driven enterprise platforms.
SimpleAct.de's answer:
SimpleAct was created to solve a growing problem many organizations are facing: AI adoption is moving faster than companies can realistically govern, document, and operationalize it. As new regulations such as the EU AI Act emerged, many businesses realized they lacked clear oversight of their AI systems, governance processes, risks, and compliance responsibilities.
Most existing governance solutions were either overly complex, heavily enterprise-focused, or too theoretical for practical day-to-day operations. Managing AI governance often meant relying on spreadsheets, disconnected documents, manual tracking, and scattered workflows across multiple teams.
SimpleAct was built to provide a more practical approach. The goal was to create a centralized platform that helps organizations operationalize AI governance in a structured, scalable, and understandable way. By combining AI inventories, risk classification, governance workflows, incident management, audit evidence, and operational controls into one platform, SimpleAct helps companies move from reactive compliance efforts to clear and manageable governance processes.
SimpleAct.de's answer:
SimpleAct is built as a Node.js monorepo for an EU AI Act compliance SaaS.
The backend uses NestJS (TypeScript) with Express, TypeORM, and PostgreSQL in production and tests (SQLite for local development). Authentication is handled with Passport and JWT, among other options.
The frontend is a React 18 single-page app bundled with Vite, styled with Sass, and written mainly in JavaScript (JSX).
Testing and delivery rely on Jest (backend), Vitest (frontend), Playwright (end-to-end), Docker with PostgreSQL, and GitHub Actions for CI/CD.
Important integrations include Stripe (billing), AWS S3 (file storage), and Nodemailer (email). A small Discord.js bot supports support workflows.
Based on our record, LinearB seems to be more popular. It has been mentiond 28 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
LinearB is an engineering productivity platform that provides visibility into developer workflows, automation, and process metrics. It collects data across the entire development lifecycle to diagnose blockers and optimize delivery. One user reports saving 321 developer-hours per month. - Source: dev.to / 3 months ago
Most tools measure half the picture. Traditional metrics platforms like LinearB focus on quantitative signals (DORA metrics, cycle time). Survey platforms like Culture Amp capture sentiment across organizations but aren't developer-specific. DX (founded by DORA/SPACE research creators) combines developer surveys with SDLC analytics. These approaches require deliberate implementation and buy-in. - Source: dev.to / 8 months ago
LinearB is a SaaS solution that retrieves metrics overtime, some of them being used to calculate DORA Metrics. They also have a Youtube channel that advocate for DORA Metrics and more. - Source: dev.to / over 2 years ago
In helping engineering orgs get visibility into developer workflows with LinearB, Dan Lines and Ori Keren discovered that the majority of cycle time was being spent in pull request and code review. They found that:. - Source: dev.to / about 3 years ago
LinearB and there are a few cheaper alternatives. Ties in DORA metrics from gut repos and agile project management tools like JIRA. https://linearb.io. Source: about 3 years ago
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