Custom AI agent · Sales
AI Lead Enrichment Agent
Give sales more context before the first conversation.
Complete approved lead context with source-backed signals so sellers can prioritize outreach without guessing or inventing missing details.
- Richer lead context for sellers
- Source-backed enrichment decisions
- Uncertain fields kept visible for review
Starting at $300 USD/month
Starting price is $300 USD/month for a tailored solution. Your final proposal defines the scope, deliverables and payment terms. Additional integrations, usage, hosting and ongoing support are scoped and priced before work begins.
What is an AI lead enrichment agent?
An AI lead enrichment agent helps commercial teams improve the context available on a prospect or account before outreach. It compares approved sources, identifies matching company and contact details, fills permitted fields, records provenance and highlights conflicts or uncertain matches. Tranki designs the workflow around your data dictionary, privacy rules and sales process so enrichment supports a better conversation without turning incomplete information into false certainty.
What this agent can enrich
Match the right record
Compare approved identifiers such as domain, company name, email, location and account references while showing why a source appears to match a lead.
Fill approved fields
Add permitted company, role, industry, size, location, technology or buying-context fields according to the data dictionary your team defines.
Preserve provenance
Record the source, retrieval time, field-level confidence and review status so sellers can understand what was added before relying on it.
Flag conflicts and gaps
Surface conflicting records, stale values, missing consent, uncertain identity and fields that require a human decision rather than silently choosing a value.
Where it can help
New inbound lead preparation
Add approved company and role context to a new inquiry before routing it to sales, while preserving the original submission and source.
Target-account research
Prepare a reviewable account snapshot from permitted sources so sellers can plan outreach without manually opening every system.
CRM data-quality improvement
Find missing, stale or conflicting lead and account fields, then create a controlled review queue instead of overwriting the system of record.
How it works
A step-by-step workflow your team can review before launch.
Define the data contract
Agree on fields, sources, match keys, freshness, permissions, privacy rules, confidence language and which updates require approval.
Resolve identity
Compare the lead with approved company and contact records, document the match evidence and route ambiguous cases for review.
Enrich with evidence
Collect permitted values, normalize them to your data dictionary and attach provenance, retrieval time and confidence to every proposed field.
Review and sync
Let authorized owners accept, correct, reject or defer changes before updating the agreed system or delivering the context to a seller.
Built around your business
What we configure
- Lead, contact and account fields, identifiers, normalization and freshness rules
- Approved first-party and third-party sources, source priority, provenance and review status
- Match thresholds, confidence language, duplicate handling, privacy and consent controls
- CRM update policy, seller summary, review queue, alerts, audit history and rollback references
- CRM, marketing automation, enrichment, data warehouse, spreadsheet or sales-intelligence integrations
What we need from you
- A current CRM data dictionary with ownership and field definitions
- Approved enrichment sources and a documented privacy and consent policy
- Examples of correct matches, false matches, stale values and prohibited fields
- Stable lead, contact and account identifiers where available
- Named sales, data quality, security, legal and privacy owners
Clear boundaries before launch
What it will not do
The agent does not guarantee identity, data accuracy, lead quality, contactability or revenue. It must not infer sensitive attributes, collect data from an unapproved source, bypass consent, fabricate a field, merge people or companies without authorization or overwrite a system of record without the agreed review controls. Owners validate material matches and updates.
How success is measured
Measure field coverage, match precision, source coverage, freshness, conflict rate, review acceptance, correction rate, duplicate detection, enrichment latency, privacy incidents, seller usage and downstream outcomes your team defines. Compare quality by source and segment rather than assuming all records have the same evidence.
Frequently asked questions
What does an AI lead enrichment agent do?
It compares approved sources with a lead or account, proposes permitted fields, records provenance and flags conflicts or uncertainty for review.
Which fields can it enrich?
The scope can include company, role, industry, location, size, technology or buying-context fields that your data dictionary and privacy policy allow. The exact fields are agreed before launch.
How does it show where information came from?
Each proposed value can include its source, retrieval time, confidence and review status so a seller or data owner can evaluate it before relying on the field.
Will it merge duplicate contacts or accounts?
Not automatically. It can surface likely duplicates and prepare evidence, but an authorized owner must approve identity, survivorship and any merge or update workflow.
Can it connect to our CRM or enrichment provider?
Connections can be scoped after we check the platform, permissions, API, data quality and privacy requirements. Integrations are not automatically included in the $300/month starting price.
What does the $300/month starting price mean?
Tranki solutions start at $300 USD/month. We review your fields, sources, review process and integrations, then provide a proposal with the agreed scope and payment terms.
