Every campaign channel.
Digital platforms, media buying, offline campaigns, and agency reporting.
THE EVIDENCE LAYER FOR AI
Connected data.
Conflicting numbers.
One defensible
answer.
Know what a lead really cost, and when the data can’t tell you. pamon.ai brings the evidence from your advertising, customer, and business systems together.
Agreed definitions. Visible gaps. Reproducible answers.
ONE QUESTION. THREE ANSWERS.
Advertising & mediaExample: reported conversions620
CRM & enterpriseExample: recorded leads510
BI & data systemsExample: transformed leads487
pamon.aiTHE GOVERNED LAYER
Agreed rules · Linked records · Evidence
A NUMBER YOU CAN EXPLAIN
$213per CRM-recorded
Campaign A lead
Campaign A lead
$100,000 spend / 470 recorded leads
40 unattributed leads kept separateChatGPTClaudeYour agentsYour dashboards
Illustrative data · different populations stay distinct
YOUR ENTIRE BUSINESS LANDSCAPE
Many sources.
One governed foundation.
From digital campaigns and traditional media to customer journeys, enterprise operations, and business intelligence. pamon.ai’s vision spans the systems where your business evidence lives.
The whole business journey.
Lead records, customer relationships, operations, billing, and sale or revenue evidence.
Beyond any single dashboard.
Reports, transformed populations, operational data, and the definitions behind them.
Current foundation identifies demonstrated source coverage, not universal customer availability. Roadmap sources are planned expansion and are not presented as live integrations. Every connection requires approved access and validated business rules.
01 / THE PROBLEM
Access is easy.
Agreement is hard.
Three systems can give you three different numbers.
And all three can be right.
“Lead” might mean an ad conversion, a CRM record, or a filtered BI population. Dates, exclusions, and campaign identities can differ too. Connecting those systems does not make their numbers interchangeable.
MCP gives AI access.pamon.ai governs what the evidence means.
02 / FOLLOW THE EVIDENCE
Don’t just see the answer.
See why it holds.
Explore an illustrative campaign.
Same sources. Explicit rules. No hidden denominator.
ASK A BUSINESS QUESTION
EXAMPLE SCOPECampaign A
September cohort · USD
Illustrative figures, not customer results.
COST PER CRM-RECORDED LEADSupported
$213 / lead
$100,000 in campaign spend divided by 470 CRM leads that recorded Campaign A. The other 40 CRM leads remain unattributed.
Authoritative spend$100,000
Campaign A denominator470 CRM leads
Unattributed in scoped CRM cohort40 leads · separate
Ad-platform conversions620 · not the denominator
The rule behind the answer
cost_per_crm_recorded_lead:v1 — use the campaign’s spend and the CRM-recorded campaign lead cohort. Never silently allocate unattributed records.
03 / WHAT pamon.ai OWNS
A shared foundation.
For every answer.
The rules live in your evidence layer,
rather than being reinvented by every agent.
Link the identities.
Map campaigns to CRM records with reversible mappings. Preserve ambiguity and unattributed records.
IDENTITY, WITHOUT GUESSWORKGet the cohort right.
Combine spend and outcomes under explicit date, population, and denominator rules.
MATH YOU CAN REPRODUCECarry the evidence.
Keep source authority, metric version, coverage, freshness, and unresolved gaps with the answer.
CONTEXT THAT TRAVELSKnow when to stop.
When the evidence cannot support a number, explain what is missing. A confident guess is still a guess.
REFUSAL IS A FEATURE04 / OUR STARTING POINT
Complex journeys.
Real-world sales.
Clearer evidence.
Starting with multi-brand automotive importers: campaigns across digital and traditional media, CRM lead journeys, and assisted or offline sales.
One industry contract at a time. Shared definitions turn each customer’s business rules into a repeatable foundation.
THE AUTOMOTIVE CUSTOMER JOURNEY
01
Campaign
Media spend & campaign identity
02
CRM lead
Recorded source & defined cohort
03
Assisted sale
Authoritative outcome source required
Revenue metrics unlock only when sale and revenue evidence are signed off.
05 / BUILDING WITH INTENTION
A working foundation.
A focused next chapter.
Governed evidence, connected-source proof.
Google Ads, Meta Ads, Salesforce, and validated CSV/API fallback. Campaign and CRM reconciliation, agreed metric definitions, and a working AI assistant demonstration.
Prove it with a named design partner.
Validate the first customer pilot, establish authoritative sale and revenue evidence, and prove that onboarding becomes repeatable. Expand into additional advertising and media sources, CRMs, enterprise platforms, and BI systems through validated source contracts.
MORE CONNECTIONS. BETTER QUESTIONS.
Give your AI evidence
it can stand behind.
The governed evidence layer between business systems and AI.