AI + Data Intelligence — A New Era

AI Agents.
Smarter Data.
Better Outcomes.

DIG already processes over 3 billion marketing records per month. AI agents are the next step — automating open-source data gathering, ETL orchestration, and intelligent enrichment at a scale no manual process can match.

The Opportunity

DIG's expertise is data — conversion, cleansing, enhancement, and delivery. AI agents don't replace that expertise. They amplify it.

From autonomous open-source data harvesting to intelligent on-prem warehouse synchronization, AI agents let DIG operate at a scale and speed that traditional ETL pipelines simply can't reach — while maintaining the security and compliance standards your clients depend on.

Open-source data gathered autonomously

Private data ingested under strict controls

ETL pipelines that self-heal and adapt

On-prem security never compromised

How It Works

The AI-powered ETL pipeline

From raw open-source and private data to validated client deliverables — fully automated, continuously monitored, and anchored to DIG's on-prem infrastructure.

STEP 01

Open-Source Data

Census Bureau, SEC EDGAR, BLS, USPS, public APIs, government data portals, and web-accessible datasets.

Census BureauSEC EDGARBLSPublic APIs
STEP 02

Private Data Sources

Licensed datasets, client-provided files, proprietary databases, and vendor feeds — ingested securely under strict access controls.

Licensed DataClient FilesVendor FeedsCRM / ERP
STEP 03

AI Agent Layer

Intelligent agents crawl, validate, and normalize incoming data — detecting schema drift and flagging quality issues in real time.

Crawl & FetchSchema ValidationQuality ScoringDedup
STEP 04

Transform & Enrich

Data is cleansed, standardized, geocoded, matched, and enriched against DIG's existing reference datasets.

CleanseGeocodeNormalizeEnrich
STEP 05

DIG On-Prem Warehouse

Processed records land securely in DIG's on-premises data warehouse — no cloud exposure, full audit trail.

Secure IngestAudit LogVersion ControlIndexing
STEP 06

Deliver & Activate

Validated data is packaged and delivered to clients via CSV, Excel, API push, or automated multi-file delivery.

CSV / ExcelAPI PushScheduled DeliveryReporting

Use Cases

How AI agents help DIG — and your clients.

Six concrete ways intelligent agents improve both DIG's internal operations and the outcomes it delivers externally.

External

Automated Data Harvesting

AI agents continuously crawl open-source datasets — Census Bureau, SEC filings, BLS labor statistics, public APIs — and stage them for ingestion without manual intervention.

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Internal

Intelligent ETL Orchestration

Agents monitor source schemas for drift, auto-adjust transformation logic, and retry failed jobs — reducing pipeline maintenance from hours to minutes.

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Internal

Smart Deduplication

ML-powered fuzzy matching goes beyond exact-match dedupe, using semantic understanding to identify household records, name variants, and address discrepancies.

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Quality

Predictive Data Quality

Agents flag anomalies and degradation signals before they reach downstream systems, enforcing SOC-compliant data hygiene at every pipeline stage.

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Security

On-Prem Warehouse Sync

Secure agent-to-warehouse pipelines that respect DIG's air-gapped security model. Data never leaves your perimeter unless explicitly approved.

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External

Client Delivery Automation

AI validates, formats, and dispatches multi-format client deliverables — CSV, Excel, API push — on custom schedules with zero-touch delivery confirmation.

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Integrations & Automation

Agents that plug into the tools your business already uses.

AI agents aren't siloed. They connect directly to your CRM, email platforms, analytics suites, and marketing automation tools — orchestrating outbound campaigns, syncing data, and generating reports across every system in your stack.

Common Integrations

CRM & Sales

Salesforce

HubSpot

Zoho

Pipedrive

Email & Outbound

Mailchimp

SendGrid

Constant Contact

ActiveCampaign

Analytics & BI

Google Analytics

Tableau

Power BI

Looker

Marketing Automation

Marketo

Pardot

Klaviyo

Braze

Scheduling & Ops

Calendly

Zapier

Make

n8n

Data & Reporting

Snowflake

BigQuery

Excel / Sheets

Custom APIs

What Agents Automate

Outbound Campaign Orchestration

Agents build targeted prospect lists from your data warehouse, personalize messaging per segment, schedule multi-channel outreach across email, direct mail, and digital — and continuously optimize send times and content based on engagement signals.

Lead Scoring & Enrichment

Automatically score inbound and outbound leads against your ideal customer profile, enrich records with firmographic and intent data, and route hot leads to sales — all without manual list pulls or spreadsheet juggling.

Pipeline & Revenue Reporting

Agents pull real-time data from your CRM, warehouse, and marketing platforms to generate daily pipeline snapshots, attribution reports, and revenue forecasts — delivered to stakeholders on schedule or on demand.

Cross-System Data Sync

Keep your CRM, email platform, analytics tools, and data warehouse in lock-step. Agents detect drift, reconcile mismatches, and ensure every system reflects the same source of truth without brittle point-to-point integrations.

Customer Journey Tracking

Unify touchpoints across channels — website visits, email opens, event attendance, support tickets — into a single customer timeline that sales and marketing can act on instantly.

Automated Compliance & Opt-Out

Agents enforce CAN-SPAM, GDPR, and CCPA rules automatically — processing opt-outs in real time, maintaining suppression lists, and generating audit-ready compliance reports.

Conversational Intelligence

Let your customers talk to their data.

The future of business intelligence isn't dashboards — it's conversation. Give every stakeholder the ability to ask questions in natural language, by voice or chat, and get precise, permissioned answers from their own data in seconds.

DIG Data Assistant

Secure · On-Prem · Permissioned

Chat
Voice
chat

Show me all new movers in the Nashville metro area from the last 90 days

Report generated — 14,382 records across 6 counties

voice

Compare Q4 deliverable accuracy against the SLA benchmarks

Analysis complete — 99.2% accuracy, 0.3% above SLA target

chat

Flag any records where the phone append confidence is below 80%

Found 2,847 low-confidence records — exported to review queue

Ask anything about your data…

Instant Answers, No SQL Required

Business users ask questions in plain English. The AI translates intent into precise queries across your warehouse, CRM, and analytics tools — returning formatted answers in seconds.

On-Demand Report Generation

Instead of waiting days for a custom report, ask for it. Agents pull live data, apply business logic, and generate polished reports — ready to share or export.

Secure by Default

Every conversational query runs against permissioned data within your firewall. Customers see only what they're authorized to see — role-based access enforced at every layer.

Full Audit Trail

Every question asked, every report generated, every data access event is logged. Compliance teams get complete visibility into who accessed what, when, and why.

The Future

Humans direct. AI executes.

The next generation of business isn't about mastering complex software — it's about telling AI what you need. Voice commands, natural language chat, and conversational workflows will replace manual data pulls, spreadsheet wrangling, and report building. Every employee becomes a power user.

Voice-directed queries
Chat-based reporting
Natural language analytics

On-Prem AI Infrastructure

Your models. Your GPUs. Your data stays put.

Cloud AI APIs mean sending your most sensitive data to someone else's servers. On-prem LLMs give you the power of large language models with none of the exposure — and at a fraction of the long-term cost.

Why not just use cloud AI?

Data exposure

Every API call sends your data to external servers. For regulated industries and sensitive client records, that's a non-starter.

Unpredictable costs

Per-token pricing scales linearly with volume. At DIG's 3B+ record throughput, cloud inference costs become unsustainable.

Compliance gaps

SOC compliance, data residency requirements, and client contracts often mandate that data never leaves the premises.

On-prem LLMs solve all three

GPU-Powered AI Infrastructure

NVIDIA A100 / H100

Enterprise-grade inference

Multi-model serving

LLM, embedding, vision

Auto-scaling

Scale to demand, idle to zero

Model fine-tuning

Domain-specific accuracy

Fully on-premises
Zero cloud dependency

Run open-source LLMs (Llama, Mistral, Gemma) privately

Fine-tune on your domain data for 10× better accuracy

Embed, retrieve, and reason across your entire corpus

Total Data Privacy

Sensitive client records, PII, and proprietary datasets never leave your perimeter. Every inference runs behind your firewall — zero data transmitted to third-party APIs.

Predictable Cost Structure

Eliminate per-token cloud API bills that scale unpredictably. On-prem GPU infrastructure turns AI from an opex wildcard into a fixed, amortizable capital investment.

Managed Service / MSP

DIG can deploy and manage on-prem LLM infrastructure as a service — handling model selection, GPU provisioning, fine-tuning, and ongoing optimization so your team focuses on outcomes.

Internal Business Productivity

Give every team AI-powered tools — document analysis, report generation, data Q&A — without the risk of proprietary information leaking through external AI providers.

Architecture

AI agents meet on-prem security

DIG's on-premises data warehouse remains the authoritative system of record. AI agents operate as a managed external layer — data flows inward through validated, secure channels only.

External

Open-Source Data

Public APIs
Cloud Datasets
Gov. Portals
Live Feeds

Census Bureau · SEC EDGAR · BLS · USPS · Public APIs · Government portals

AI Agent Bridge

Orchestration

AI Agent Layer

Data Crawlers
Orchestrator
Validator
Scheduler

Schema validation · Quality scoring · Deduplication · Transformation · Enrichment

Firewall

On-Premises

DIG Data Warehouse

Ingestion Layer
Data Warehouse
Archive Store
Audit & Compliance

SOC compliant · Air-gapped perimeter · Full audit trail · Zero cloud exposure

Data sovereignty is non-negotiable.

AI agents operate entirely outside DIG's firewall perimeter. Only validated, transformed records cross into the on-prem warehouse — through encrypted, audited ingestion channels that DIG controls end-to-end.

Expected Impact

Measurable results from day one

10×

faster open-source data ingestion

95%+

automated quality validation coverage

24/7

continuous agent monitoring

Ready to put AI

to work for your data?