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Beyond AI Pilots: How We Build Scalable Agentic Workflows as an Official Mastra Agency Partner
Over the past year, many organizations have taken their first steps with AI. Employees build isolated custom GPTs, experiment with individual prompts, or try out small internal tools to speed up daily work. But as many digital leaders quickly realize, bridging the gap between an individual experiment and a secure, enterprise-grade AI architecture is a major challenge. Initiatives often stall due to data privacy concerns (GDPR compliance), unpredictable costs, unmonitored token usage, and a lack of governance.
To solve this, AI needs an orchestration layer: a centralized control environment that manages agentic execution, governs model selection, enforces security protocols, and integrates smoothly into complex tech stacks.
That is why Handpicked (with Twentyseven as part of the collective) is proud to be named the first official Mastra Agency Partner in the Netherlands.
Why Mastra?
Selecting an agent orchestration platform requires strict criteria. After evaluating multiple platforms against requirements like GDPR compliance, multi-LLM flexibility, observability, and developer experience, Mastra stood out.
Mastra provides an engine for building agentic applications using modern TypeScript tooling. It gives developers full control over agent workflows, context assembly, and model routing, allowing organizations to run autonomous systems reliably in production.
How We Leverage Mastra at Twentyseven
At Twentyseven, we do not just implement tools; we integrate them into active digital environments. We have been leveraging Mastra to build agentic workflows that automate governance, improve technical health, and power strategic decision-making across three primary pillars:
Platform & Control (De Regielaag):
Deploying specialized single-task AI agents across development, security, content, and integrations.
Connecting tools vendor-agnostically: from Azure DevOps, Storyblok, and Figma to custom APIs and Model Context Protocol (MCP) servers.
Ensuring full transparency through real-time workflow execution and auditable execution steps.
Content & Process Intelligence:
Turning business processes into modular, reusable workflow blocks.
Automating complex lifecycle paths, such as converting Azure DevOps tickets and Figma designs into production-ready frontend components, complete with human-in-the-loop validation.
Building automated error-to-fix pipelines that trace exceptions and submit pull requests autonomously.
Pipelines & Automated Governance:
Running parallel security, performance, and accessibility scans that aggregate into unified quality reports.
Establishing autonomous monitoring and system health checks that generate actionable items automatically.
Generating cross-system reporting across tools like Azure DevOps and project management platforms.
Moving from Experiments to Production
Becoming a certified Mastra partner means our team works directly alongside Mastra's core engineering team, with early insight into their roadmap and dedicated architectural support.
Whether it is setting up autonomous site performance monitoring, building internal strategic AI advisors, or unifying complex multi-tool pipelines, we help brands transition from isolated AI experiments to predictable, measurable business outcomes.
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