Solutions

Bring AI to the work your teams already do

Requirements that arrive with gaps. Knowledge spread across files, databases and storage. Content that has to go out every week. Choose the work below and see how the Archy AI Platform and its products take it on, with your team setting the standards and seeing what every workflow does.

An abstract path winding from scattered pieces of work to a single goal flag.

Choose by the work

Start with the problem in front of you.

Each solution shows the work as it is today, how it runs with Archy, who and what is involved, and an example from input to output.

  • New requirements arrive as documents full of gaps.

    Turn them into fully documented feature requests in Jira, written to your standards, with summaries leaders can follow.

    Explore software delivery

    Products involved: ArchyAssistant · ArchyAgents · ArchyKnowledgebase

  • The answer exists, but it is spread across files, databases and storage.

    Bring it together as structured knowledge your agents can use in real workflows.

    Explore knowledge to action

    Products involved: ArchyKnowledgebase · ArchyAgents

  • Content has to go out every week, on brand, on every channel.

    Go from one brief to published articles and team-approved social posts.

    Explore content operations

    Products involved: ArchyPress · ArchySocial

  • You have an idea, but no product definition yet.

    Describe it and receive documentation, goals, OKRs, KPIs, a sample backlog and a proposed architecture by email.

    Explore ArchyStarter

    Products involved: ArchyStarter

How the solutions work

People, agents, tools and knowledge, working on one platform.

Every solution combines the same four parts. What changes is the work they are pointed at.

  • People

    Set the goals and standards, bring the input, and edit, start and stop the workflows.

  • Agents

    Each agent has one job in the workflow. You design and manage them in ArchyAgents.

  • Tools

    Agents use your systems and software through the Model Context Protocol (MCP).

  • Knowledge

    Built-in RAG and knowledge management on the platform, and ArchyKnowledgebase when knowledge comes from many sources.

Build on the platform

Your work is not on this list? Build your own solution.

ArchyPress, ArchySocial and ArchyAssistant are products built on the Archy AI Platform. Enterprises use the same platform to build solutions around their own processes.

  • Keep your data isolated from other customers.
  • Use one LLM provider or several, and change provider without rebuilding your solution.
  • Use one RAG system or several, including the RAG systems and vector databases you already run.
  • Bring information from many sources to your agents through ArchyKnowledgebase data pipelines.

Frequently asked questions

Next step

Bring one real workflow. We will walk through it with you.

Tell us what the work looks like today, the systems involved and where it slows down. We will show you how it would run on the Archy AI Platform.