AI agents grounded in how your Salesforce org works.
Org Expert answers questions about your org, Story Agent drafts user stories, On-Demand Docs produce a targeted document and the migration backlog structures the existing system. All four work from the same documentation your team reads in the portal, and through MCP so do your own AI assistants.
Your documentation stays in the portal. It reflects the latest scan. What you see below are targeted artifacts: a migration backlog, an on-demand document, a set of user stories, that you generate when you need them.
Answers about your org, with their sources
Ask how a process works, what a rule enforces or what depends on a component. Org Expert answers from the documentation and cites the pages it used. What the org does not establish stays a question for your team.
- Questions in plain language
- Every answer cites its pages
- In the portal, or from your MCP client
Draft user stories in the portal, ready for review
Describe a business need and draft user stories against the existing org. Story Agent helps formulate scope, Gherkin acceptance criteria and questions to resolve. Your team reviews the assumptions before the stories reach the backlog.
- Conversational drafting in the portal
- Gherkin (Given / When / Then)
- Grounded in the documented org
Generate a targeted document, export it
Need a shareable document for a specific object, process or scope? Generate it on demand and download it as HTML or Word. The portal stays the reference; this is a snapshot for people outside it.
- Generate for a chosen scope
- Download HTML or Word
Turn your org into an Epic → Feature → Story backlog
For migration and redesign work, aprity structures the existing org into an Epic → Feature → Story backlog. Portability indicators help your team see what can be reused and what needs redesign. Export the backlog to Excel or CSV for planning.
- Epic → Feature → Story
- Portability badges
- Export to Excel or CSV
Why the answers hold.
Documentation, aprity agents and MCP clients draw on the same knowledge: computed from the org, corrected by your experts, updated with each scan.
An LLM with raw Salesforce metadata
The model has to reconstruct relationships from the files and descriptions supplied to it. A prompt alone does not provide a maintained dependency graph or your experts’ corrections.
An LLM with aprity’s documentation
Tools retrieve computed dependencies, rules, processes and expert contributions from the scanned org. The model answers from that context and cites the pages it used.
Citations make checking possible; they do not certify an interpretation. Your team still reviews answers, missing context and proposed acceptance criteria before acting on them.
See the platformThe agents are included on Intelligence, and on the free trial.
Try every agent for 14 days. No credit card. Bring-your-own-LLM is the one Intelligence-only feature not in the trial.