Give AI the context it's missing
Your knowledge, organized and shared
Organize approved agency knowledge and separate client knowledge bases in one centralized application.
Everything that makes your agency unique.
- Brand guidelines, tone of voice, and writing standards
- Project templates, SOWs, and proposal frameworks
- Handbooks, SOPs, and QA checklists
Everything your team needs to know about each client.
- Brand guidelines, visual identity, and tone standards
- Business background, target audience, and goals
- Past work, project history, and performance results
Knowledge stays current and secure
Create and manage knowledge sources from one application so your Agency Intelligence environment can work from current indexed context.
Knowledge is managed inside your Agency Intelligence environment and access is controlled through configured permissions.
Knowledge is managed separately from chat
ai/Knowledge manages agency and client context separately from the chat interface, so knowledge can be administered as its own Agency Intelligence resource.
Knowledge-grounded responses can include citations to supporting sources, helping your team verify important facts before acting.
AI that knows your agency
AI models do not know your agency, clients, standards, or past work by default. Without knowledge, they guess. With RAG, every response starts from context your team already trusts.
- Generic outputs that miss your tone, brand, and standards
- Context scattered across emails, docs, and people's heads
- Heavy rewrites and corrections that eat into delivery time
- Responses that reflect actual tone, brand, and standards
- Context centralized, current, and tied to every output
- More grounded responses with source context available for review
Knowledge across supported Agency Intelligence models
Agency and client knowledge can be used with supported models inside Agency Intelligence without rebuilding the same context for each task.
Knowledge for repeatable workflows
Use approved knowledge as context for supported Agency Intelligence workflows instead of repeatedly copying source material into each task.
Related articles
What RAG Is and Why Every Agency Needs to Own Knowledge
Learn how knowledge bases help ground AI work in approved agency and client context.
Why Multi-Model AI Is Essential for Agency Production
Access GPT, Claude, Gemini, and more. Compare outputs, sanity check work, and keep production connected.
How to Turn Your Repeatable Work Into Repeatable AI Workflows
Connect intake, generation, refinement, and review in workflows that keep production moving forward.
See ai/Knowledge in action
See how agency and client knowledge can provide more grounded context for AI-assisted work.