Qualification engine
Fit, budget, timing, and intent scored from what the lead submitted and what enrichment adds, against criteria you define and can change without a developer.
Where templates stop being good enough
Follow-up that makes a judgement call, not a broadcast.
Qualification, routing, and follow-up that read what a lead actually said and respond to it, so speed to lead stops depending on who happens to be awake.
- MinutesFirst response, any hour
- WrittenQualification criteria, not gut feel
- ReviewableEvery automated decision
You already know if this is you
What it looks like before this exists.
If two or more of these are familiar, this is the system to build first.
- Every lead gets the same three emails regardless of what they asked for
- Good leads wait hours because they arrived after 6pm
- Your team qualifies by gut, and no two people qualify the same way
- Nobody reads the free-text field on the form
No slideware, no strategy deck
What physically gets built.
Speed-to-lead responder
A first reply inside minutes, any hour, that references what they actually asked about rather than opening with a generic thank-you.
Intent-based routing
Different answers, different paths. A pricing question and a "just browsing" go to different sequences and different owners.
Reactivation passes
Dormant leads worked with context, referencing the original conversation rather than pretending it never happened.
Human handoff rules
Explicit thresholds for when the machine stops and a person takes over, and a clean context summary waiting for them when it does.
Guardrails and review
Tone limits, claim limits, and a review queue for anything the model is not confident about. Nothing goes out that you would not have signed.
Apply to work with usScoped on the call. No deck, no pitch.
Three beats, start to handover
How this one actually runs.
Beat 1 of 3
Define the criteria
We write your qualification rules down in plain language first. Most businesses discover at this stage that two people on the team have been using different definitions of "qualified".
Beat 2 of 3
Build and constrain
The system gets built with explicit guardrails, then run against your historical leads so you can see what it would have done before it does it live.
Beat 3 of 3
Tune on real traffic
Two weeks of supervised running with every decision reviewable, then the review threshold loosens as the accuracy proves out.
Commonly built on
- Claude
- OpenAI
- Go HighLevel
- n8n
- Clay
- Twilio
CliqHQ holds no reseller relationships. Nothing on this list is a default we are paid to recommend, and we build on whatever fits your business.
Asked every time we scope this one
Two things worth settling early.
Will leads know they are talking to a machine?
They are never told otherwise, and we do not build systems that claim to be a named human. The first touch is fast and specific to what they asked; a person takes over at the threshold you set, which is usually well before anything that looks like a sales conversation.
What stops it saying something wrong?
Explicit constraints on tone and on what claims it can make, plus a review queue for low-confidence cases. Before it runs live it is tested against your historical leads so you can see its decisions on cases you already know the right answer to.
One call, no deck, no pitch
Bring us the mess. Leave with the map.
On the call we go through your stack, your workflows, and where the hours and the leads are going. You leave with the leak map whether or not you work with us.
- 30 minutes, one call
- You keep the audit either way
- No retainer trap, ever