Leads qualified on evidence, not form fills
The MQL Qualifier verifies who actually filled the form, weighs fit against real intent, and routes every lead with its reasoning attached, while the visit is still warm.
New MQL · Sarah Chen
MQL QualifierNew form fill from the pricing page. Verifying who she is before any score exists.
Reading activity and form data2sVerifying role and company fit4sHead of CX at a 400-person ICP company, two pricing visits, downloaded the security whitepaper. This is evaluation behavior, not grazing.
Routing to sales with the breakdown1s
How it works
New MQL · Sarah ChenPricing form submittedWhitepaper downloaded
Chat lead captured
Score 82 · routedReasoning attachedOwner notifiedUnknowns markedTriggered by your marketing stack
Every new MQL in HubSpot, from forms, chat or content downloads, starts a qualification run the moment it lands.
Verifies, then weighs
The agent confirms who the person actually is, then weighs role, company fit and behavior together, and writes down the reasoning behind the number.
Routes into your CRM
The score, the breakdown and the flags land on the lead record in Salesforce, and hot leads ping the right owner in Slack.
Without Relevance
With Relevance
Points for opens and page views add up to a number nobody can explain in the handoff.
Every score comes with its reasoning: what matched the ICP, what signalled intent, and what gave the agent pause.
The form data is taken at face value, so "student", "test" and personal emails clog the queue.
The agent checks who the person actually is. A gmail address from a VP evaluating quietly scores on the VP, not the domain.
A big-logo employer auto-promotes the lead, even when the person downloaded one ebook and left.
Logo, role and behavior get weighed together. An intern at a dream account is still an intern, and the score says so.
Leads wait for the next scoring batch, and the hot ones cool in the queue overnight.
Every lead is qualified and routed minutes after the form fill, with the context sales needs to open well.
Ops reviews the leads that look interesting. The rest get the default score.
The ten-thousandth lead gets the same verification and weighing as the first, at any volume.
Missing firmographics get defaulted to mid-range values that quietly distort the score.
What the agent cannot verify, it marks unknown. A score built on gaps says it is built on gaps.
Held to a quality bar, on every run
Every qualification is checked against eval test cases written for this exact job before it routes. If a run fails the bar, it never ships.
MQL QualifierPass rate · last 14 days
Sampling 2% of live runs · 96% passing this week
Train your agent like an employee
Onboard it with your playbooks and correct it in plain English. It learns the lesson for good, and nothing changes until you approve it.
Built for enterprise teams
Run agents on your real data with the access controls, audit trails, and residency guarantees enterprises require all built in.
Monitoring
Real-time visibility into every agent’s activity, performance, and cost.
RBAC
Control who can use, build, edit, and deploy agents.
Data residency
Multi-region deployment keeps your data within your required geography.
Version control
Full version history on every agent. Roll back to any previous state.
Audit logs
Every action, every decision, every tool call logged and exportable.
Human-in-the-loop
Set approval gates on any action or allow agents to ask questions.
SSO / SAML
Enterprise single sign-on with SAML 2.0. Centralize identity & access.
PII masking
Detect and redact personally identifiable information.
"The ability to be vendor agnostic and the ability to scale across a breadth of functions is a really key feature."
Levi Watters
Partner, KPMG Australia
"The key for us was how we can modularize industry knowledge and the best playbooks, and apply it."
Allen Roh
Senior Marketing Manager, Autodesk
"We're looking for every place where AI can allow sellers and customer success reps to be more engaged with customers."
Rob Giglio
Chief Customer Officer, Canva
"The ability to be vendor agnostic and the ability to scale across a breadth of functions is a really key feature."
Levi Watters
Partner, KPMG Australia
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Every agent you add shares one stack
These agents all run on one platform: one gateway, one router, one eval suite, one audit trail. Every agent after the first ships faster.
- Triggered by key events or signalslike Zapier
- Given access to contextlike Zep
- Connected to your appslike Composio
- Access to all LLMslike OpenRouter
- Performance evaluatedlike Braintrust
- No-code agent builderlike Dust.tt
- Coordinated into teamslike CrewAI
- Chained into multi-step processeslike n8n
- Kept alive through long-running worklike Temporal
- Traced at every step of every runlike Langfuse
Put the MQL Qualifier to work this quarter
We partner with enterprise teams to take this work off their plate. An agent built with you, proven against your quality bar, and live in weeks.