AI Agents for Lead Scoring
WorkAgentic builds AI agents for lead scoring that evaluate every lead against behavioral and fit criteria and surface the ones ready for sales, so reps stop working leads in the order they arrive instead of the order they convert.
No technical team neededBuilt by CPAs
Book a Free Marketing Workflow Audit
Lead Scoring
Six lead scoring tasks your team stops running manually
Each agent scores leads and surfaces the sales-ready ones automatically. No manual review queue, no hot lead sitting untouched because nobody got to it in order.
Automatic Lead Data Aggregation
- Behavioral and fit data pulled automatically from CRM and marketing tools
- Website activity, email engagement, and firmographic data combined in one view
- No manual export or spreadsheet needed to bring signals together
- New data sources added to the scoring inputs without a rebuild
- Missing or incomplete lead data flagged instead of scored on partial signal
Behavioral and Fit Scoring
- Behavioral and fit signals combined into a single weighted score
- Weighting configured to reflect what your team defines as most predictive
- Score breakdown available so a rep sees why a lead scored the way it did
- Different scoring models supported for different products or segments
- Scoring logic applied consistently across every lead, no manual judgment calls
Real-Time Score Updates
- Score updated continuously as new behavioral or fit data comes in
- Priority always reflects the lead's most recent activity, not a static snapshot
- Score changes logged so a rep can see how a lead's trajectory has shifted
- Update frequency matched to how quickly your buying signals actually change
- Cooling leads flagged so reps know when to shift focus elsewhere
Sales-Ready Lead Alerts
- A lead crossing a defined score threshold triggers an alert automatically
- Alerts routed to the right rep or queue based on territory or ownership rules
- Sales-ready leads surfaced first instead of sitting in a general list
- Multiple threshold tiers supported, such as marketing-qualified and sales-qualified
- Alert timing tuned so follow-up happens while interest is still high
Score Model Tuning and Feedback Loop
- Scoring weights refined automatically using which scored leads actually converted
- Model accuracy improves the longer the agent runs against real outcomes
- Manual override available where a rep's own judgment should take precedence
- Threshold recalibration reviewed with your team before being applied live
- Model changes logged so scoring shifts are never a surprise
Scoring History and Audit Log
- Every score change logged with a timestamp and the data that drove it
- Historical scoring available for comparison without manual reconstruction
- Model version tracked so scoring shifts can be traced to a specific change
- Conversion outcomes tied back to the score a lead had at each stage
- History retained even after CRM fields or scoring criteria have changed
Built Around Your Workflow
Your existing systems are already the source of truth
WorkAgentic builds each lead scoring agent around your existing CRM, marketing automation, and analytics tools. Your lead sources, your scoring criteria, your data. We connect to everything you already use.
Zero new software for your team to learn. The agent runs inside your existing systems. Your team sees the output, not the engine.
100+
systems we connect to
Any API
if it exports data, we connect
See how the AI agent deployment process works.
HubSpot
Salesforce
Marketo
Google Analytics
Meta Ads
LinkedIn Ads
Google Ads
100+
more systems
Pardot, ActiveCampaign, Klaviyo, Pipedrive and any system with a structured API or data export
Case Studies
AI agents we have already built and deployed
Real deployments. Real outcomes. Each agent was built from scratch around the client's exact workflow.
Frozen Foods / CPGHow a $150M Frozen Foods Distributor Eliminated Overnight Temperature Risk and Prevented $200K–$250K in Annual Losses
A leading frozen foods distributor managed millions of dollars of temperature-sensitive inventory across its refrigerated fleet but had no visibility into trailer temperatures during overnight hours. This created a significant risk of product spoilage, inventory loss, and customer service disruptions.
Read case study
CPG / Consumer Packaged GoodsHow a $50M CPG Brand Replaced a $180K TPM System and Unlocked $300K in Annual Value Using Open-Source TPM and Agentic AI
A $50 million consumer packaged goods (CPG) brand was struggling with the growing complexity of trade promotion management. Despite investing heavily in a traditional TPM platform, many critical processes remained manual, including trade planning, accrual management, deduction reconciliation, customer profitability reporting, and trade spend analysis.
The company was spending approximately $180,000 annually on TPM software while dedicating significant internal resources to managing promotions, deductions, and reporting activities.
Read case study
Frozen Foods / CPGHow a $250M+ Frozen Food Manufacturer Cut Daily Inventory Reporting from 120 Minutes to 5 Minutes and Saved $44,000 Annually
A $250M+ frozen food manufacturer managed inventory across multiple third-party warehouses and cold storage facilities. Accurate inventory visibility was critical for supply planning, production scheduling, customer service, and inventory management.
However, the company relied on a highly manual inventory reporting process that required data from twelve separate sources, including warehouse portals and accounting system reports, to be downloaded, reconciled, and consolidated twice each day.
Read case study
CPG / Business Process OutsourcingHow a $800M CPG Company Replaced OCR and Manual Data Entry with Agentic AI, Generating $592,000 in Annual Savings and a 4.6x ROI
A leading business services provider supported multiple consumer packaged goods (CPG) companies with aggregate annual sales exceeding $800 million. The organization was responsible for transcribing retailer deduction documentation, validating deductions against trade promotion planners, proof-of-performance documents, and promotional contracts across multiple customers, channels, and retailer platforms.
As client volumes increased, the process of extracting, validating, and transferring retailer data into spreadsheets, reports, and operational dashboards became increasingly dependent on manual labor.
Read case study
Watch the Agent Work
See a lead scoring agent running live
A 3-minute walkthrough showing how the agent aggregates lead signals, calculates a weighted score, alerts sales the moment a lead crosses the threshold, and tunes the model against real outcomes.
Behavioral and fit data aggregated automatically from CRM and marketing tools
A weighted score calculated and updated continuously
A rep alerted the moment a lead crosses the sales-ready threshold
The scoring model tuned automatically against which leads actually converted
No commitment. We demo with a real marketing workflow, not a sandbox.
Start with lead scoring. Explore more marketing automation agents for your team.
WorkAgentic deploys lead scoring that evaluates every lead against behavioral and fit criteria and surfaces the ones ready for sales, so reps stop working leads out of order.
Current Workflow
Lead Scoring Agent
- Prioritize and qualify leads automatically inside your CRM.
- Sales-readiness scoring, not audience grouping.
Campaign Reporting Agent
- Report on campaign performance across every channel.
- Measures results, not lead-level prioritization.
Customer Segmentation Agent
- Group leads and customers for targeted messaging.
- Audience grouping, not sales-readiness scoring.
Marketing Operations Agent
- Run campaign execution and the marketing tech stack.
- Executes the work, not just reports on it.
Content Planning Agent
- Plan the content calendar, topics, and briefs.
- Plans content, does not write or generate it.
SEO and Keyword Research Agent
- Research keywords and optimize for search visibility.
- Search-specific, not general content planning.
CRM Data Hygiene Agent
- Deduplicate and standardize CRM records automatically.
- Record quality, not lead value or scoring.
Nurture Sequence Automation Agent
- Automate outreach sequences that move leads forward.
- Executes sequences, not campaign measurement.
Competitive Monitoring Agent
- Track competitor pricing, content, and positioning.
- External market watch, not internal lead data.
FAQ
Questions about lead scoring
Clear answers on how the agent scores and alerts on leads, and what your team stays responsible for.
Lead scoring agents are AI agents that evaluate every lead in your CRM against defined behavioral and fit criteria and assign a score that reflects how ready that lead is for sales follow-up, without a marketing or sales operations person manually reviewing each record. WorkAgentic builds lead scoring agents for teams whose reps currently work leads in the order they arrive rather than in the order they're most likely to convert.
Customer segmentation groups leads and customers into categories for targeted messaging, such as by industry or company size. Lead scoring evaluates an individual lead's readiness to buy and prioritizes it for sales follow-up. This page covers the sales-readiness scoring agent. A separate customer segmentation agent covers the audience grouping for targeting.
CRM data hygiene is about the quality of the records themselves, such as removing duplicates and standardizing fields. Lead scoring assumes the underlying record and evaluates how ready that lead is to buy. This page covers the scoring and prioritization agent. A separate CRM data hygiene agent covers record cleanliness.
Both behavioral signals, such as website activity and email engagement, and fit signals, such as company size and industry, are combined into a single score, weighted according to what your team defines as most predictive.
The score updates continuously as new behavioral or fit data comes in, so a lead's priority reflects its most recent activity rather than a static score assigned once at intake.
Yes. A lead crossing a defined score threshold triggers an alert to the appropriate rep or queue, so a sales-ready lead gets followed up on quickly rather than sitting in a general list.
Yes. Scoring weights and thresholds are refined over time using a feedback loop based on which scored leads actually converted, so the model gets more accurate the longer it runs.
Zero new software for your team to learn. The agent runs inside your existing systems. Your team sees the output, not the engine.
Get Started
Ready to stop working leads in the wrong order?
Book a free 30-minute lead scoring review. We map your current scoring approach and show you where a defined model saves reps the most time first.
Book a Free Lead Scoring Review →