Contact Center Discovery Services | Intelligent Automation

Unstructured Data from Shared Inboxes

When customer requests arrive in free-form emails with no standardized format, it becomes hard to categorize and interpret them at scale.

Compound Requests Within One Email

When a single email contains multiple unrelated requests, such as a billing issue and a technical question, it complicates both classification, routing, and resolution.

Lack of Visibility Into Request Types, Volumes & Patterns

If you can’t quantify what types of requests are coming in, how often, or how they’re being handled, it’s nearly impossible to prioritize automation efforts.

Uncover Insights in Unstructured Data

We start by analyzing shared inboxes using Communications Mining. This allows us to extract and categorize email types, quantify volumes, identify common request patterns, and surface sentiment trends, giving you visibility into what’s really happening across channels.
Build Your Automation Pipeline

Using the insights, we identify and prioritize high-impact automation opportunities such as: identity validation, ticket triage and escalation, automated status updates for orders or claims, and onboarding for new clients or vendors.
Prove Value Through a Pilot

We help you launch a pilot automation for one or more of the identified use cases—validating feasibility, measuring impact, and setting the foundation to scale automation across the contact center.

Your team made and kept to a schedule that kept the project on track and also you made the material so much easier to understand than when I tried to learn it on my own.

Matthew Fenton

Senior Process Administrator at Vanguard

Clear and concise communication. Utilized great tech experience combined with business understanding to provide obtainable efficiency goals.

Darryl Koch

EVP, Chief Information Technology & Security Officer at CNB Bank

Ashling has been instrumental in our success. First, they delivered quality automation, but after that they have been truly exceptional in diagnosing issues, cutting down exceptions, educating end-users, and providing day-to-day support.

Senior Manager of Data & Analytics at Armanino