Signal gets flattened
A detailed inquiry, campaign history, company profile, and buying timeline arrive as disconnected fields with no coherent readout.
AI lead qualification / built for agencies
Turn every inbound lead into a CRM-ready decision.
Arcqual analyzes fit, intent, urgency, and commercial context—then scores the lead, writes the CRM note, and routes the next action through the systems your team already uses.
Normalized lead context
AgencyNorthline Performance
Service needPaid media + landing pages
Monthly media spend$80k–$120k
TimelineWithin 30 days
SourceHigh-intent case study
Qualification decision
87
Tier A · Sales-readyHigh confidence / policy v1.4
- Budget is above the paid media minimum
- Decision timeline matches the agency delivery window
- Service request maps to an active capability
Create HubSpot task · notify growth director
Works inside your operating stackHubSpotGoHighLeveln8nOpenAIAnthropic
The operating gap
Your CRM gets the form. Your team still has to make the decision.
Most lead pipelines capture fields. They do not turn fragmented context into a consistent commercial judgment.
Triage depends on who is online
Different people interpret the same lead differently, creating uneven follow-up and avoidable routing delays.
CRM notes start incomplete
Sales or strategy teams spend the first conversation rebuilding context that the intake process already had.
<60 secTarget from submission to scored CRM record
1 policyA shared qualification standard across every channel
Full traceInputs, reasons, model output, and route kept together
Anonymized validation run · July 2026
One dataset. Every decision accounted for.
We processed a 101-record public-web agency research set through a calibrated scoring and exception workflow. Identities and source quotes are removed below.
101agency records entered with an explicit run status
85public sources ingested successfully
10high-priority records scoring 75 or above
7records held for manual review instead of auto-routing
Anonymized composite outputAQ-V15-017 · identity removed
83/100
High-priority agency fit85% confidence · policy agency-analysis-v1.5
- Service mix aligns with B2B demand generation and paid acquisition
- US operating presence confirmed from approved public evidence
- Public positioning shows an active, multi-channel pipeline motion
CRM-ready brief
Agency matches the target operating profile across service fit, market presence, and observable demand-generation activity. Confirm CRM ownership and monthly inbound volume before proposing the pilot.
Agency matches the target operating profile across service fit, market presence, and observable demand-generation activity. Confirm CRM ownership and monthly inbound volume before proposing the pilot.
Tier AGrowth reviewArchitecture CTA
Composite example derived from the validated dataset. No company identity, URL, contact detail, or verbatim source text is shown.
Decision trace
01
Public context accepted85 / 101
02
Evidence normalizedallowlisted fields
03
Policy and model evaluatedscore + reasons
04
Confidence gate applied7 held for review
05
Brief and route producedCRM-ready
Source: internal July 2026 validation dataset. These figures demonstrate decision coverage and exception handling; they are not presented as customer ROI or production performance.
The workflow
A decision layer between intake and follow-up.
STEP 01
Capture and normalize
Merge form fields, UTM data, campaign context, CRM history, and firmographic signals into a stable lead record.
OutputStructured lead context
STEP 02
Evaluate against your policy
Apply explicit rules and LLM reasoning to service fit, commercial readiness, urgency, geography, and disqualifying conditions.
OutputScore, tier, reasons, confidence
STEP 03
Write the operational context
Generate a concise CRM note that explains the opportunity, open questions, risk flags, and recommended first response.
OutputCRM-ready qualification brief
STEP 04
Route the next action
Create the task, notify the owner, place the lead in the correct stage, or hold it for human review when confidence is low.
OutputAuditable route and owner
Built for agency reality
Useful output, not another dashboard.
Arcqual works in the path your team already follows. The result appears where the work happens.
One definition of a qualified lead
Translate leadership judgment into a versioned policy your intake channels can apply every time.
A usable brief in the CRM
Give the first responder the reason behind the score, not only a number that requires interpretation.
Automation with review boundaries
Keep low-confidence, high-value, or policy-sensitive cases in a clear human-review queue.
CRM context
The score is only useful when the reasoning travels with it.
Every decision can include the inputs used, policy version, fit summary, unresolved questions, recommended route, and confidence level.
- Readable by sales, strategy, and RevOps
- Structured fields for reporting and automation
- Clear reasons for both qualification and rejection
HubSpot · Qualification noteTier A
Why this lead is qualified
Request aligns with paid media and CRO delivery. Reported media spend is above the operating threshold, and the stated 30-day timeline indicates active evaluation.
Request aligns with paid media and CRO delivery. Reported media spend is above the operating threshold, and the stated 30-day timeline indicates active evaluation.
Open questions
Confirm decision authority and whether creative production is included in the initial scope.
Recommended first response
Assign to Growth Director. Send the paid media diagnostic brief and propose a 25-minute discovery call within one business day.
Free pilot program
Prove the workflow on your real lead path before you commit.
We map one intake source, one CRM, and one routing path. Your team reviews every decision during the pilot, with success criteria agreed before launch.
Common questions
What agency operators ask first.
Is Arcqual a website chatbot?
No. Arcqual is a back-office qualification workflow. It works after a lead enters through your existing form, scheduler, ad funnel, referral channel, or CRM integration.
Does it replace HubSpot or GoHighLevel?
No. Your CRM remains the system of record. Arcqual adds a reasoning and orchestration layer that reads approved context, writes structured outputs, and triggers the next action.
Can we keep a person in the loop?
Yes. Review thresholds are part of the architecture. You can require approval for low-confidence decisions, strategic accounts, selected service lines, or any route your team considers sensitive.
Which LLM provider do you use?
The workflow can be configured around an approved provider and data policy. Model choice is an architecture decision based on security requirements, latency, output quality, and your existing agreements.
Start with the system