Introduction
Many tools nowadays include some degree of AI functionality. In this lesson we'll cover how AI works in GetAccept – and how to use it effectively in your day-to-day work. AI is only helpful when it understands what you’re actually selling and who you’re selling to. In GetAccept, AI is designed to work from your deal context so you can move faster without losing relevance.
What Makes GetAccept AI Different
GetAccept AI is designed around four core principles that remove friction from your sales work:
- Deal-specific context – AI understands what this deal is about
- Built for sales workflows – designed around how deals actually move forward
- Built in, not bolted on – no extra tools, tabs, or copy-paste
- Private and secure by design – your data stays inside GetAccept
Unlike tools such as ChatGPT, GetAccept AI doesn’t start from a blank page. It starts from your Deal Room.
You don’t need to jump between tools or paste content into external AI platforms. AI is available directly inside your Deal Room, templates, and meetings – right where the work happens.
The GetAccept AI mental model
Think of GetAccept AI as a system that turns deal context into usable drafts.
Deal context + prompt → AI draft → human review
Inputs (deal context)
- Deal Room structure and documented content (the information you intentionally capture in the room)
- Meeting transcripts and meeting notes (added manually or via integrations)
- Company Knowledge Base (admin-managed)
Prompt (instruction)
- Tells the AI what to do with the context (summarize, rewrite, reformat, update, refocus)
AI actions
- Summarize, structure, draft, rewrite, reformat
Outputs (drafts you control)
- Meeting summaries and next steps
- Smart Content (executive summary, business case, discovery summary, and more)
- Deal Room section drafts and edits
Human step (always)
- Review, adjust, approve, publish
What GetAccept AI is and isn’t
It is
- A deal-aware drafting assistant inside your sales workspace
- A way to turn documented deal information into drafts faster
- A consistency tool when your team sells at high volume
It isn’t
- A replacement for discovery, judgment, or negotiation
- A “blank page” chatbot that guesses what your deal is about
- A system that should publish buyer-facing content without review
Where AI gets its context
Output quality depends on context quality. GetAccept AI typically uses:
- Deal Room structure and documented content: what your team captures in the room over time
- Meetings: transcripts or notes you add (manually or via integrations)
- Knowledge Base: your voice, positioning, and rules, maintained by admins
A simple rule: if it’s not in your documented deal context, AI can’t reliably reflect it.
We'll cover more about how to provide context in other lessons.
The role of prompts
Prompts matter because they shape how the AI uses the available context.
A good prompt clarifies:
- The task (summarize, rewrite, update, extract decisions, etc.)
- The focus (what matters most in this version)
- The format (bullets, headings, length)
You don’t need to restate the whole deal in your prompt. The context is already there. The prompt tells AI what to do with it.
(We'll go deeper on prompt writing in a later lesson.)
What improves results fast
You don’t need “more AI.” You need better inputs.
- Add transcripts or solid notes after important meetings
- Keep buyer and seller details up to date (names, roles, priorities)
- Maintain your Knowledge Base so outputs stay consistent
- Treat drafts like drafts: quick edits beat rewriting from scratch
Shared responsibility, different roles
Admins and content managers
- Maintain the Knowledge Base
- Define prompts and template sections
- Decide what must stay fixed (legal wording, product rules)
- Set defaults that make outputs consistent across reps
Sales reps
- Add meeting context and deal updates
- Use drafts to move faster, not to avoid thinking
- Adjust tone and specifics to match the buyer conversation
- Decide what to publish and when
Putting it together
The best teams don’t “use AI.” They build a repeatable habit:
- Keep context current (meetings and Deal Room updates)
- Use AI to generate drafts in the moment
- Apply human review before anything becomes buyer-facing
- Improve consistency by strengthening templates and the Knowledge Base
Recap
By now, you should be able to:
- Explain the inputs → outputs model behind GetAccept AI
- Recognize which context sources shape output quality
- Explain how prompts influence structure and focus
- Describe how admins and reps share ownership of good results