01
TAM Sourcing
What gets built
Account universe mapping, exclusions, source rules, segment logic, and ICP-fit thresholds.
Outcome
Lead generation starts from a target market the team can defend.
Pipeline systems
AI Lead Generation.
We build AI lead generation systems that connect target-account sourcing, enrichment, scoring, routing, outbound activation, and feedback loops. Delverise helps B2B teams turn lead generation from a list problem into an operating system.
Updated June 5, 2026
When it breaks
Lead generation is producing activity instead of qualified motion.
Lists are sourced without enough fit, timing, or exclusion logic.
AI tools create leads, but the CRM and sales workflow cannot use them cleanly.
High-volume prospecting creates noise because qualification and routing happen too late.
Campaign results do not feed back into the next sourcing and scoring cycle.
Operating model
The system we install.
01
Market
ICP, TAM, exclusions, segment rules, and account tiers.
02
Data
enrichment waterfalls, contact verification, firmographics, and technographics.
03
Scoring
fit, priority, timing, confidence, and suppression logic.
04
Activation
CRM routing, outbound sequencing, alerts, and sales handoffs.
05
Quality
QA samples, data confidence, bounce checks, and source review.
06
Feedback
reply quality, meeting quality, pipeline quality, and next-source decisions.
What we build
AI lead generation systems built for usable pipeline.
02
Contact Discovery
What gets built
Decision-maker mapping, waterfall enrichment, verification, and role matching.
Outcome
The system finds contacts that fit the campaign and can actually be reached.
03
AI Research
What gets built
Company research, buying-signal detection, trigger summaries, and personalization inputs.
Outcome
Activation uses context instead of generic firmographic labels.
04
Scoring & Routing
What gets built
Fit scores, priority logic, CRM owner rules, segment assignment, and suppression handling.
Outcome
The right leads move to the right motion without manual sorting.
05
Outbound Activation
What gets built
Sequence-ready fields, message inputs, campaign QA, and source-level tracking.
Outcome
Lead generation connects directly to outbound execution.
06
Feedback Loops
What gets built
Reply quality, meeting quality, bounce rate, source quality, and pipeline readouts.
Outcome
Each campaign improves the next sourcing and scoring cycle.
Where it fits
The lead generation loop from market to feedback.
Source
Map accounts, apply exclusions, enrich companies, and identify target contacts.
A cleaner lead universe before activation begins.
Score
Rank accounts and contacts by fit, timing, role, and confidence.
The team knows which leads deserve attention first.
Activate
Route records into CRM, outbound, alerts, or review workflows.
Lead generation creates action, not a static export.
Learn
Use replies, meetings, bounces, and pipeline quality to improve the next cycle.
The lead engine compounds through better targeting.
Best fit
Hire us when the system has to work.
- You need more qualified pipeline but do not trust generic lead lists.
- Your team has a clear ICP and needs a system to find, enrich, score, and activate it.
- You want AI research and automation connected to CRM and sales workflows.
- You need source quality and pipeline feedback loops, not just more records.
Not a fit
Do not hire us for isolated tasks.
- You only need a list pull without system design or downstream activation.
- You want AI-generated copy without data, QA, targeting, or delivery logic.
- You need a one-off automation that no one will own after launch.
- You are looking for a pure strategy deck instead of a working system.
Implementation
From audit to operating cadence.
01
Define ICP, exclusions, priority segments, and target-account rules.
02
Choose sourcing, enrichment, and verification inputs.
03
Build fit scoring, contact matching, and confidence logic.
04
Add AI research and personalization inputs where useful.
05
Route qualified records into CRM, outbound, or sales review.
06
QA the data and activation paths before launch.
07
Measure reply quality, meeting quality, source quality, and pipeline impact.
08
Refresh the system based on feedback.
Clay-connected lead generation
Clay can power sourcing and enrichment.
As a Clay First 100 Solutions Partner, Delverise can use Clay for TAM sourcing, enrichment waterfalls, contact discovery, AI research, transformations, and activation-ready outputs. The larger system connects those outputs into CRM, outbound, QA, and reporting.
Explore Clay systemsWhat is AI lead generation?
AI lead generation is the use of data, automation, and AI research to source, enrich, score, and activate target accounts and contacts.
How is this different from buying a lead list?
A lead list is static. An AI lead generation system includes sourcing rules, enrichment, scoring, routing, activation, QA, and feedback loops.
Can Delverise use Clay for lead generation?
Yes. Clay can support sourcing, enrichment, AI research, and transformations when it fits the workflow.
What does success look like?
Success is measured by qualified replies, meetings, source quality, clean CRM records, and pipeline quality rather than raw lead volume.
Next step
Build the system your team can actually run.
We will look at your current motion, identify the highest-leverage system gap, and tell you what we would build first.