How practitioners use Aipokit
The same platform, adapted to how different teams actually work.
Consulting & project delivery
You deliver complex projects — process analyses, training programs, data platforms, implementation reports. Each one lives in a different tool. Clients ask where their deliverables are.
With Aipokit: One workspace per engagement. Process models in the BPMN folder. Training videos auto-transcoded and ready. Reports and documentation inline. A project website generated from your content.
When the project ends, share everything with a single access code — or hand over a standalone platform the client runs on their own server.
Training & education
You design and deliver learning programs — workshops, online courses, blended training. Content sits across slide decks, video folders, and shared drives. Participants ask for the recording three weeks later.
With Aipokit: A course folder holds everything — presentations, session recordings (auto-transcoded), supporting materials. Participants get an access code; they revisit the content as often as they need, no account required.
Your AI course planner structures new modules from your notes. An agent drafts quiz questions from existing materials.
Operations & knowledge management
Your team produces documentation, compliance materials, process guides, and training assets continuously. It ends up in email threads and shared folders nobody navigates the same way.
With Aipokit: Each department gets a workspace. HR manages onboarding videos. Legal hosts compliance documents. Operations maintains process models. Everything searchable, everything version-controlled, all on your infrastructure.
Role-based groups control who sees what. Every access is logged. Federation connects regional offices to a shared catalog without moving data between jurisdictions.
Agencies & multi-client work
You serve multiple clients simultaneously. Each has their own content, their own branding requirements, and an expectation that their data stays separate from everyone else's.
With Aipokit: Each client is a separate workspace with its own vault. Access codes let clients review deliverables without creating accounts on your platform. When a client wants their own instance — ship them a standalone binary with their branding.
AI agents draft content, organize media, and maintain sites across all your client workspaces — you review and approve.
AI-assisted workflows
You want the productivity of AI assistance without routing your clients' data through third-party APIs or losing control of outputs.
With Aipokit: Agents are assigned to specific workspaces and folder types. A content agent drafts website pages from your existing assets. A process agent reviews BPMN diagrams and suggests improvements. A research agent summarizes documents and produces structured reports.
Bring your own API keys (Anthropic, OpenAI, or local models via Ollama). Choose supervised mode for critical outputs, autonomous for routine drafts. Every action scoped to your data, on your server.
Site publishing & content delivery
You need to publish content to a website — project updates, product documentation, a course landing page — without managing a separate CMS, hosting provider, or deployment pipeline.
With Aipokit: A site folder holds your page definitions and content. An AI writer drafts copy from your briefing. The built-in site generator produces a multi-language Astro site. Publish to your own domain, or push to a CI pipeline via git.
Text, images, videos, and interactive components — all sourced from your workspace assets.
Your use case isn't here?
Aipokit is flexible enough to fit workflows we haven't described. Tell us what you're managing, delivering, or automating — we'll show you how it fits.