Data Enrichment
I build AI agents that systematically fill gaps in your databases, validate existing records, and keep your CRM and lead data current — replacing hours of manual research with continuous, automated enrichment.
CRM & Contact Enrichment
Turning sparse records into comprehensive, reliable profiles without manual research.
Most CRM databases are full of incomplete records — a name and email here, a company without an industry classification there. I deploy agents that take your existing records and systematically enrich them using publicly available data sources, APIs, and web intelligence. The result is a CRM where every record has the context your sales and account teams actually need to do their jobs.
Contact Profile Completion
Starting from minimal data — often just a name and email — the agent fills in job title, department, seniority level, LinkedIn profile, phone numbers, location, and professional background. It cross-references multiple sources and assigns confidence scores to each data point, so your team knows what's verified versus inferred.
Company Intelligence
For company records, the agent populates industry classification, employee count ranges, revenue estimates, founding date, headquarters location, key executives, tech stack indicators, and recent funding or M&A activity. These fields are kept current through periodic re-enrichment cycles, not just populated once and left to decay.
Relationship Mapping
Beyond individual records, the agent maps relationships between contacts and companies in your CRM — identifying who knows whom, which contacts have moved between companies you track, and where organisational hierarchies create influence paths. This turns a flat database into a relationship intelligence layer.
Change Detection & Alerts
People change jobs, companies get acquired, and contact details go stale. I configure agents to periodically re-validate enriched data and flag changes — a key contact who's moved to a different company, a prospect company that's been acquired, or a phone number that's no longer valid. Your CRM stays current without manual auditing.
Lead List Augmentation
Transforming basic lead lists into actionable, scored prospect databases.
A raw lead list with names and companies is a starting point, not a sales tool. I build agents that take your initial lists and build them out into comprehensive prospect profiles — identifying decision-makers, mapping buying committees, scoring fit against your ideal customer profile, and surfacing the intelligence your outreach team needs to personalise at scale.
Decision-Maker Identification
Given a target company, the agent identifies the people most likely to be involved in purchasing decisions for your product or service. It maps organisational structure, identifies relevant titles and departments, and surfaces the contacts your team should be reaching out to — not just the generic info@ address on the website.
Ideal Customer Profile Scoring
I configure scoring models based on your ideal customer profile — industry, company size, technology usage, growth signals, geographic fit, and any other criteria that predict success. Each lead gets scored and ranked, so your team focuses effort on the highest-potential prospects rather than working a list alphabetically.
Intent & Trigger Signal Detection
The agent monitors for buying signals — job postings that indicate a company is building a team in your space, technology changes visible in their web stack, funding rounds that unlock budget, or leadership changes that create new opportunities. These signals are attached to lead records and prioritise outreach timing.
Personalisation Data Gathering
Effective outreach requires personalisation beyond "Hi [First Name]." The agent gathers conversation-worthy data for each lead — recent company news, the prospect's published content or speaking engagements, shared connections, and relevant industry developments. Your outreach team gets a briefing sheet, not just a spreadsheet row.
Data Quality & Validation
Continuous monitoring and scoring of data accuracy, completeness, and freshness.
Data quality degrades constantly — contacts change roles, companies rebrand, phone numbers get recycled, and manual entry introduces errors. I build agents that continuously assess and improve your data quality, catching problems before they cause downstream failures in your sales, marketing, and operations workflows.
Record Completeness Scoring
The agent assesses every record against your defined completeness criteria — which fields should be populated for a contact to be actionable, which company attributes matter for your segmentation. Incomplete records are flagged, prioritised by business impact, and queued for enrichment or manual review.
Duplicate Detection & Merging
Duplicate records fragment your data and create confusion. The agent uses fuzzy matching across names, emails, phone numbers, and company associations to identify likely duplicates, then presents merge candidates with a confidence score. You approve the merge; the agent executes it cleanly.
Format Standardisation
Phone numbers in five different formats, addresses with inconsistent abbreviations, job titles that mean the same thing but are spelled differently. The agent normalises data formats across your entire database, applying consistent standards that make filtering, segmentation, and reporting actually work.
Freshness Monitoring
I configure agents to track when each record was last verified or updated, flagging records that have gone stale past your defined thresholds. High-value records (key accounts, active pipeline contacts) get checked more frequently; dormant records get periodic sweeps. You always know how current your data is.
Ready to clean up and enrich your data?
Tell me about your databases and data challenges, and I'll design an enrichment pipeline that keeps your records current and complete.