Lead capture & qualification
Turn an incoming enquiry into a structured record with the need, the relevant context and the gaps made explicit — then score it against agreed signals.
Revenue & Lead Automation
AI Rush designs controlled workflows for lead capture, qualification, routing, follow-up and related revenue operations — around the tools and rules your team already uses.
The problem
Leads arrive from different channels, context gets lost, follow-up slips, and sales teams spend time rebuilding information that should already be available.
Every channel captures something different, so someone has to normalise it by hand before anything useful can happen.
Who owns this one? The answer usually depends on who happens to read it first.
Nobody decided to drop the opportunity. The next step just never got scheduled.
Representative use cases
Use cases explain fit. What gets built is decided in the audit and scoping conversation.
Turn an incoming enquiry into a structured record with the need, the relevant context and the gaps made explicit — then score it against agreed signals.
Surface opportunities that have gone quiet, reconstruct where the conversation stopped, and prepare a specific next step for the owner to approve.
Route by the rules you already apply — territory, product, size, language or availability — with a fallback path when the rules do not resolve cleanly.
Get the structured result into the system your team actually works in, so the record is useful on arrival rather than a task to clean up later.
Only where the access, the data source and the intended use are verified and appropriate. We will say no to enrichment we cannot stand behind.
Bring dormant records back into view with the context needed to decide whether they are worth a fresh conversation — the decision stays human.
The exact automation boundary — what sends, what updates, what waits for approval — is defined during scoping, not assumed by the workflow.
Proof
Use the Lead Qualification or Follow-Up Recovery demo to see the business flow without exposing any private infrastructure.
Questions
If your question is not here, the audit is the fastest way to get a straight answer about your specific process.
No. We work with the tools already in use where that is the right call, and improve the handoffs between them. We do not promise that every system can be integrated — that is confirmed during scoping.
As much as the risk of the task allows. Judgment-heavy steps stay with the responsible person; repetitive structuring, routing and preparation are where automation earns its place. The exact boundary is agreed before anything is built.
Not for the first review. The Workflow Audit looks at the process, the tools in play, ownership, handoffs and exceptions. Access is only discussed once a scope is agreed, and only for what that scope requires.
We define that in advance. Every workflow has an exception path — what it does when it cannot confidently complete the normal route, and who it hands the case to.
The Prove stage exists for exactly that. We test realistic cases and review the outputs with you, separated from live business actions, before the workflow is used more widely.
No. Start with one workflow. If it proves useful, expanding is a decision you make with evidence in front of you — not a commitment made upfront.
Free workflow audit
Show us where work slows down, gets repeated or gets missed. We will review the process and identify the most useful first automation direction.
Two fields to start. We will ask for the rest only if there is a useful fit.
A person at AI Rush will review the process you described, clarify anything important, and recommend the next scoping conversation if there is a useful fit.
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