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AI-Assisted BCC Configuration

Intelligent BCC Configuration from Client Instructions

Upload a client email, meeting transcript, Word document, or PDF. Evoxify interprets the instructions, analyzes the available data, and generates a structured BCC configuration ready for technician review.

The Problem

BCC configuration is consuming your team's production capacity

Direct mail data processing teams spend enormous manual effort translating client instructions into BCC-compatible configurations — every new job, every time.

01

Instructions arrive in every format

Client requirements come through emails, documents, PDFs, transcripts, and notes — rarely in one consistent structure.

02

Manual interpretation takes hours

Technicians spend significant time translating requirements, mapping fields, and configuring each job manually.

03

Recurring Jobs Repeat the Work

Even familiar clients often require technicians to re-read instructions and rebuild configuration logic job after job.

The SOLUTION

AI that understands how clients describe data — and knows BCC

Evoxify's AI-assisted configuration engine reads client-provided instructions in natural language, analyzes the structure of the incoming data file, and generates a complete BCC-supported configuration — ready for technician review and approval.

The goal is not full automation. The goal is reducing skilled technician effort from 100% manual to 20–30% review and validation — so your team can handle more volume without growing headcount.

How It Works

From instructions to production-ready configurations

Our AI-powered workflow turns unstructured client instructions into accurate, validated BCC configurations—faster and with complete confidence.

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Input
Upload Client Requirements

Provide an email, Word document, PDF, meeting transcript, or supporting notes in the format the client already uses.

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Analysis
Analyze Requirements

AI extracts field mappings, processing rules, postal requirements, output specifications, and missing information.

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Data Profiling
Profile the Data

The system analyzes the incoming file structure, fields, formats, and data quality against the extracted requirements.

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Configuration Generation
Generate the BCC Configuration

Requirements and source data are translated into a structured BCC configuration ready for technical review.

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Human Review
Review & Validate

A technician reviews the generated configuration, resolves exceptions, makes adjustments, and approves it for implementation.

The Impact

Dramatically less manual effort per job

The primary goal is effort reduction — not removing the skilled technician from the process, but freeing them to focus on validation rather than translation.

Configuration Effort Per Job

Without AI Assistance

100% Manual

Full manual build & Config

With Evoxify AI Tool

20–30% Review

Review

Estimated effort reduction based on typical direct mail BCC configuration workflows. Actual results will vary by job complexity and client instruction quality.

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Handle More Jobs With the Same Team

Reduce repetitive configuration work so technicians can focus on validation and higher-value tasks.

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Improve Configuration Consistency

Generate configurations using a repeatable structure rather than relying entirely on manual interpretation.

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Capture Reusable Knowledge

Preserve client-specific rules, mappings, and preferences so future jobs can start with more context.

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Shift Technician Focus

Spend less time building routine configurations and more time resolving exceptions and making production decisions.

ROADMAP

Where we're heading

The AI configuration engine is the foundation. Future capabilities expand into full workflow intelligence.

NOW

Configuration Automation

Turn requirements and data into review-ready configurations.

NEXT

Client Pattern Intelligence

Reuse known mappings, requirements, and preferences across recurring work.

LATER

Workflow Automation

Connect configuration into broader job intake, approval, and production processes.

FUTURE

Operational Intelligence

Extend visibility into job status, exceptions, throughput, and reporting.

Who It's For

Built for direct mail data processing teams

The tool is designed specifically for direct mail operations — where order volume is high but each job arrives with unique client-specific instructions.

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PROVIDERS

Direct Mail Service Providers

→ Multiple clients, each with unique specs

→ Recurring jobs with frequent order volume

→ BCC-dependent production workflows

→ Skilled but constrained data processing teams

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TECHNICIANS

Data Processing Technicians

→ Reduce time spent reading & interpreting client instructions

→ Validate rather than build configurations from scratch

→ Catch edge cases AI flags for human decision

→ Focus expertise where it creates the most value