Our story
From a Jira assistant to a platform built for change.
I did not set out to build a platform. Archy started with the teams we worked with.
At Architech, we deliver architecture, digital and technical transformation, and agile implementation work. Again and again, we saw teams struggle in the same places. Transparency got lost. Communication between teams and stakeholders broke down. Writing user stories, composing backlogs and tracking progress took far more effort than it should.
ArchyAssistant began as our answer: a digital-transformation guide for exactly those problems. It was an AI-powered Jira plugin, backed by a Java service that connected Jira to the AI capabilities that were just emerging.
Then the AI landscape kept changing beneath us. Models, providers and APIs changed. Context windows expanded. Tool use, structured outputs, multimodality, agents, memory and MCP all arrived, each at a different stage. A decision we made could become technical and architectural debt almost immediately. Our Java service had to understand both our business domain and a constantly changing AI ecosystem. That coupling became the real constraint.
It is what led us from ArchyAssistant to the Archy AI Platform. The new ArchyAssistant is built on the platform, instead of carrying the whole burden of AI integration and orchestration on its own. The platform is provider-neutral. It works with Azure AI Foundry, OpenAI, Anthropic, Gemini, Grok, OpenRouter and the providers still to come, without tying us to one model or SDK.
Along the way, LLMs became infrastructure, and more and more a commodity. The lasting value moved elsewhere: how context is assembled, how knowledge is retrieved and grounded, how decisions are made, how workflows are orchestrated, how agents hand work to one another, and how outcomes are evaluated and governed. Memory and long-term knowledge have to support many kinds of content and stay open to new ones.
“This architecture is not an attempt to predict the future. It is an attempt to make change survivable.”
So we keep two things apart. Orchestration determines how the work runs. The business layer defines what the work means. Because they are separate, we can replace models, providers, SDKs, protocols, memory systems and orchestration frameworks without rewriting the purpose of the platform.
For me, architecture is about protecting what should remain stable from everything that will not.
