B2B Data Enrichment Agent
The B2B Data Enrichment Agent is a SaaS sales template that an AI employee runs end to end, covering account research, decision-maker identification and intent scoring. Transform raw lead lists into enriched prospect databases with verified company information and decision-maker contact details. The agent identifies key contacts and their buying intent automatically.
AI operates via
How It Works
- 01
List Upload
Upload prospect list with minimal data; agent processes company names and domains.
- 02
Company Research
Agent enriches with company size, industry, funding, growth metrics, and technology stack.
- 03
Contact Identification
Decision-makers identified by title and department with verified email addresses.
- 04
Intent Scoring
Prospects scored for intent based on recent funding, hiring, or product launches.
TL;DR
- Transform raw lead lists into enriched prospect databases with verified company information and decision-maker contact details.
- Configure the workflow for your SaaS Sales team, with the knowledge, system access and approval rules it needs.
- Runs across CRM Sync, Email Automation with a single AI Employee orchestrating all touchpoints.
- Workflow scope includes Account research, Decision-maker identification, Intent scoring.
When to Deploy This Template
Use this workflow to coordinate trial follow-up, onboarding or retention. Connect product activity and account context to the next action for your sales or customer success team.
See How It Works
Confirm permitted actions, exception handling and human ownership for your deployment.
Workflow step 1 of 4
List Upload
Upload prospect list with minimal data; agent processes company names and domains.
Evaluate the outcome
Define a baseline, a measurement period and acceptance criteria for this workflow before evaluating its impact.
Why This Template vs. Building In-House
| Criterion | Build In-House | Deploy with UnleashX |
|---|---|---|
| Launch preparation | Build and test the workflow infrastructure | Configure roles, connections and acceptance tests |
| Engineering work | Maintain the agent runtime and integrations | Configure supported tools; scope custom connections where needed |
| Language coverage | Select and evaluate language models and voices | Select supported languages and test your business vocabulary |
| Channels | Implement each channel and its handoff logic | Configure supported channels around the employee’s responsibility |
| Integrations | Implement authentication, operations and recovery | Use available connectors and define permitted reads and writes |
| Governance | Build access, approval and audit controls | Configure permissions, human approvals and review requirements |
| Cost planning | Account for development, infrastructure and support | Scope platform usage, configuration and ongoing operations |
| Additional workflows | Extend and test the existing implementation | Reuse approved knowledge and connection patterns, then evaluate the new role |
Frequently asked questions
Can you identify multiple decision-makers?
How fresh is the data?
What data sources are used?
Does this work for all industries?
Conclusion
The B2B Data Enrichment Agent template takes a workflow that typically consumes Sales team time and hands it to an autonomous AI Employee. Scope the responsibility, connect the systems of record that confirm completion, and agree the escalation path before launch. Define a baseline and a measurement period so the result can be evaluated against your current process rather than an assumed benchmark.
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Ready to deploy this template?
Our team will configure this template to your CRM, compliance rules, and brand voice. Timing depends on scope, system access and evaluation.