Use Case
Identifying dependencies and constraints early, before they become surprises in the build, is the single biggest predictor of project success.
The Problem
Requirements gathering without context on the org is fundamentally inefficient. A BA or architect captures requirements in stakeholder sessions, then has to validate them against the org's actual configuration. That validation raises new questions, which require new conversations, which produce new requirements that need to be validated again. The loop is slow and the iteration delays the entire process.
The root cause is that requirements and org knowledge are handled separately. The team writing requirements doesn't have immediate access to answers about what the org can support, what it conflicts with, or what already exists. So requirements accumulate assumptions, and those assumptions get resolved, expensively, during build.
Where requirements break down:
How Swantide Addresses It
Swantide brings AI into the requirements process itself, helping BAs structure, validate, and refine requirements in real time, grounded in the actual org.
Build discovery questions from the org
Use Swantide to generate targeted discovery questions based on the org's actual configuration: objects, automations, integrations. Walk into stakeholder sessions with smarter questions and surface edge cases before they become mid-build surprises.
Refine user stories with acceptance criteria
Turn rough requirements into structured user stories with entry criteria and acceptance criteria, quickly. The AI Assistant helps you tighten ambiguous language and add the org-specific detail architects and developers need. Refined user stories can also be turned directly into solution designs, closing the gap between requirements and the build phase.
Validate against the org
Before committing to a requirement, ask Swantide whether the org already supports it, what it would conflict with, and what the simplest path to implementation looks like given existing configuration.
Produce handoff-ready documentation
Output requirements in a format architects and developers can work from immediately, with org context baked in so the build team doesn't have to rediscover what the requirements team already learned.
Key Outcomes
Same-day handoff-ready requirements
Requirements that used to take days to write up are structured and ready to hand off the same day.
Cleaner handoffs mean less rework at the build stage
Requirements grounded in org reality arrive with far fewer surprises for the build team.
Org-validated requirements before commitment
Know whether a requirement conflicts with existing configuration before you commit to building it.
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AI Assistant
Conversational AI that generates discovery questions, refines user stories, validates requirements against org configuration, and answers feasibility questions in natural language.
AI Documentation
Generates structured, handoff-ready documentation from requirements conversations, turning rough capture into organized user stories with acceptance criteria automatically.
Who This Is For
Business Analysts
Generate and refine user stories grounded in actual org configuration, without the back-and-forth of manual validation against what the org can support.
Admins & Architects
Capture requirements that account for the org's actual configuration, and skip the rework that comes from designing in the abstract.
Project & Program Managers
Close the gap between what stakeholders said and what the build team hears, before the project starts.