End the
oldest feud
in B2B.
An AI-powered lead scoring system that rebuilds trust between marketing and sales.
Marketing sends an MQL. Sales calls it weak. After enough misses, reps stop working the queue and miss the real buyers. One trusted, explainable score fixes that — giving marketing a pipeline to stand behind and sales one they'll actually work.
- Perfect-fit VP at a 500–1000-person biopharma
- Webinar attended · 3 nurture opens · pricing viewed twice
- 94% ICP propensity, matched to your historical wins
A return you can defend
A clear, undeniable number — the kind of ROI you can take into the boardroom and stand behind.
A queue worth trusting
Leads ranked by real conversion probability, so sales works the pipeline instead of second-guessing it.
No more finger-pointing
Every score shows its reasoning end to end — so marketing and sales argue from the same evidence.
Your best leads are hiding in plain sight.
Point-based scoring rewards form fills over real intent — routing prospects to sales too early, too late, or not at all. The cost compounds quietly across every cycle.
A system that delivers two critical outputs.
Every available signal about a person, their company, and your historical conversion data — synthesized into a single, explainable result, in two forms.
Three families of intelligence feed the model.
Person signals
- Alignment to 100+ buyer personas
- Individual activity — webinars, downloads, events
- Channel interactions — PPC, email, tradeshows
- Demographic conversion propensity
Company signals
- ICP fit and propensity to convert
- Buying-group account activity
- Firmographics — industry, size, revenue
- External, predictive third-party intent
Historical data
- Sales conversions by BU and team
- Channel last-touch conversion rates
- Bayesian recalibration over time
- A self-improving feedback loop
Bayes' theorem, with a feedback loop.
P(signals | convert) · P(convert)
────────────────
P(signals)
CrewAI-powered teams, or another suitable architecture.
A crew of specialized agents enriches, matches, and writes — turning raw signals into a scored, story-backed lead.
Person Enrichment
Reviews available info and enhances the profile with enrichment tools.
Company Enrichment
Augments the record with firmographic additions and account context.
Persona Matching
Determines which existing personas match the lead, and to what degree.
Report Generator
Writes the story behind each lead — the textual surround reps act on.
A practical, two-tiered system.
The full agentic process incurs inference and enrichment costs — you can't run it on every event. So it runs in two tiers, applying AI economically.
- Pre-computed ML models
- Demographic & firmographic fit
- Initial "viability" filter
- Runs continuously, at scale
- Full agentic scoring process
- Activated at an activity threshold
- Generates the final probability
- Creates the narrative story
Data-science insight, directly actionable inside the CRM.
The predictive A1/A2/A3 ratings land in the MQL Rank field; the AI synopsis appears automatically in the comments of every new marketing-sourced lead. Reps get the gist in seconds — without leaving the record.
Perfect-fit VP at a mid-size biopharma, matched to "Commercial Strategy." High recent intent — webinar + pricing revisits. Challenge: squeezed budgets. Entry point: pipeline-efficiency proof. Next move: route to AE for a same-day, personalized reach-out.
From first touch to closed-won.
The synopsis tells a rep who a lead is and why they matter. The journey shows how they got here — every marketing touch across the buying group, the moment the lead was created, and each step that turned it into revenue. Same data science, a second deliverable: the receipts behind the relationship.
Pair the journey with the AI synopsis and a rep opens every conversation already knowing the story — who across the account is involved, what each one cares about, and exactly where the deal stands. The same engine that scores the lead writes its history.
Faster cycles, higher conversion, better ROI — at scale.
Model your return.
Fill in your funnel, drag the lift slider, and pick an investment level — the calculated rows and the results panel update live.
Three phases. Clear deliverables. Real activation.
We work alongside your team as embedded specialists — bringing the architecture, methodology, and the team that built this system. An 8–12 week engagement, scoped to your stack.
- Single MAP & CRM instance
- Up to 50K active contacts
- One business line or segment
- Multiple MAPs / CRM environments
- 50K–250K active contacts
- Existing persona library + intent data
- 250K+ contacts, multi-region
- Custom persona development
- Full external data enrichment build
Nick Panayi.
Veteran 2× CMO with 25+ years building and scaling high-performance marketing teams. I help organizations bypass the AI hype and evolve their marketing engines for the AI era.
Agentic Lead IQ is one of those engines — built by fusing available AI with deep human expertise into a practical, scalable system. I drive the strategic and commercial side of every engagement, translating architecture into business outcomes.
Built by practitioners, not theorists.
Take the full story with you.
Download the briefing materials below.
Executive Summary
The problem, solution, the math, the agents, and the system in production — at a glance.
Project Proposal
The full consulting engagement — phases, pilot, tiers, requirements, and the ROI model.
AI-Assisted Marketing
Driving marketing effectiveness with AI — custom examples and best-in-class tooling.
Start with a conversation.
Book a complimentary discovery call. We'll walk through the approach in full — yours to keep, share with your team, or bring directly to a client conversation.