Sales / Sales Engineering Live
Requirements Clarity Check
Take rough requirements from a discovery call and turn them into ones an engineer could build against — with everything still ambiguous written as a question rather than resolved by guessing.
- Run on demand
- ~6 credits per run
- v1.0.0
What does Requirements Clarity Check do?
Requirements Clarity Check is a production AI agent in the sales section of the Leverge agent store, built for the sales engineering process. Take rough requirements from a discovery call and turn them into ones an engineer could build against — with everything still ambiguous written as a question rather than resolved by guessing. It runs on demand, works through 2 steps and returns 4 outputs, including how buildable is this?.
What it needs
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Requirements as captured
Whatever came out of discovery — notes, a customer's list, an email thread.
What it does
- Structuring the requirements
- Writing the clarifying questions
What you get back
- How buildable is this?
- Requirements, restated
- Ask the customer
- Cannot be built as stated
After each run it asks: “Could an engineer work from this?”
When it runs
Run on demand
Oversight
Runs under scoped, least-privilege credentials with every action written to an audit log. Anything that moves money, alters a contract or reaches a customer requires human approval before it executes.
Sales Engineering
Other agents in sales engineering
Pipeline, proposals, renewals and the CRM hygiene underneath them
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Acceptance Test Generation
Turn agreed requirements into acceptance tests the customer would sign off — each traceable to a requirement, prioritised, with the untestable ones named.
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Solution Blueprint
Describe what the customer needs and get a solution architecture written against your own standards, with every component justified and every deviation from standard called out.
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Solution Recommendation
Score which solution components actually fit a customer's requirements, by feasibility rather than by what would be nice to sell.
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User Story Generation
Paste discovery notes and get them turned into user stories with acceptance criteria — and an explicit list of what the notes do not say clearly enough to write.
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Account Plan Review
Check an account plan against what a plan is supposed to contain — whether its actions have owners, whether its targets are grounded, and whether it says anything the data does not support.
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Account Risk Monitor
Name an account and get external signals searched for anything that changes your plan — funding, restructures, leadership moves, regulatory news — with what is corroborated separated from what is rumour.
Next Step
Deploy Requirements Clarity Check, or adapt it
It runs as-is against the inputs above. Most deployments diverge — a different source system, a different tolerance, a different approval path. A 30-minute technical call establishes which.