Abstract digital communication layout with envelope icons connected by glowing lines, representing automated email workflows.

Cutting workload and lead time with AI-driven email automation

An industrial manufacturer struggled with a flooded customer‑service mailbox, manual processing, and rising error rates. The AI Workflow Manager turns Outlook into an intelligent process hub that routes, enriches, and processes emails automatically.

Industry

Industrial manufactoring

Duration

4 months

Scope

Implementation of an AI Workflow Manager behind Outlook to automate email classification, data enrichment, workflow routing, and integration with ERP/CRM/logistics systems.

ibc role

Design and implementation of the AI-driven workflow architecture, including intent recognition, workflow automation, system integrations, and operational rollout.

Channels in scope

Outlook mailbox, IT intent recognition, N8N workflow automation, ERP/CRM/logistics & order management integrations, SLA tracking

Context

From overloaded mailbox to intelligent, automated email processing

An international industrial manufacturer was receiving hundreds of customer‑service emails per day, from order changes and delivery questions to complaints and documentation requests.

The shared mailbox had become a critical operational bottleneck: employees manually read, categorized, searched multiple systems, and forwarded messages, resulting in long turnaround times, high error rates, and growing work pressure. With processes relying heavily on human intervention and no real‑time insight into workload or SLAs, scaling operations had become increasingly difficult.

The implementation of the AI Workflow Manager transforms the Outlook mailbox into an intelligent process hub, automatically classifying emails, enriching them with ERP/CRM data, and routing tasks directly into the correct workflow.

Challenge

Manual email processing created constant extra work and slowed down customer service

The central customer‑service mailbox received hundreds of emails per day, many of them belonging to repetitive standard processes. Employees had to read, classify, search multiple systems, and manually forward or update orders, which is a time‑consuming and error‑prone workflow.

With no automation, no real‑time insight into workload, and high dependency on human interpretation, turnaround times increased and operational pressure rose.

As volumes grew, the mailbox became a structural bottleneck that prevented the organization from scaling service levels or reliably monitoring SLAs.

The outcome: high service costs, slow response times, and rising error rates due to manual processing.

  • 60% of emails related to repetitive standard processes
  • Employees spent 40% of their time on manual classification and forwarding
  • High error sensitivity in manual order adjustments
  • No real-time insight into workload

What we did

We transformed the shared mailbox into an AI driven process hub

ibc developed an AI Workflow Manager that sits directly behind the Outlook mailbox and automates the full workflow of classifying, enriching, and routing customer‑service emails. By combining AI intent recognition with workflow automation and deep ERP/CRM/logistics integrations, manual reading and forwarding were replaced by structured, intelligent processing.

Through a phased approach (analysis, development, and activation) the organization moved from manual overload to automated, scalable email handling, enabling employees to focus on complex customer questions instead of repetitive administrative tasks.

Actions taken:

  • Phase Analysis: Email intent analysis, mapping of process flows, identification of automation opportunities
  • Phase Development: AI model trained on historical emails, N8N workflows built for task routing, integration with ERP and CRM, automatic SLA tracking
  • Phase Activation: pilot phase with 30% of mailbox volume, continuous optimization, expansion to full inbox

 

The Solution we delivered:

  • AI‑driven workflow operating model that automates email handling end‑to‑end within the existing Outlook environment

Results

Substantial Reduction in workload, errors, and lead times through AI-driven email automation

Within four months, the AI Workflow Manager transformed the overloaded customer‑service mailbox into an intelligent, automated process hub. More than half of all incoming emails were processed without human intervention, tasks were routed instantly with system-enriched data, and service teams gained real‑time visibility into workload and SLAs. Manual effort dropped substantially, operational pressure decreased, and customer-service performance improved across all key indicators, allowing employees to focus on complex, value‑adding cases rather than repetitive administrative work.

55% of all emails are processed automatically without human intervention

- 38% Lead time

- 45% Error reduction

SLA compliance increased from 82% to 97%

Reduced workload and real-time insight into workload and bottlenecks

Employees could redirect focus from repetitive tasks to complex customer questions and relationship management

Our Promise

Why the AI-workflowmanager works:

Feedback

Many industrial organizations find that their customer service is slowed down by manual mailbox processing and fragmented systems.

Feature

The customer service was slowed down by manual mailbox processing and fragmented systems.

Advantage

Our AI Workflow Manager combines intent recognition, workflow automation, and system integration within your existing Outlook environment

Results

This leads to shorter turnaround times, lower costs, fewer errors, and complete process transparency.

Thomas Kuijer

Contact

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