global
Variables
Utilities
CUSTOM STYLES

FIN Foundations

Build the foundations that make automation safe.

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To scale automation, Fin needs clean structure underneath it.

We implement Fin in a transformation-ready way: inbox design, routing, workflows, integrations, and reporting foundations so humans, automation, and AI can work together without chaos, and improvements can be repeated rather than reinvented.

Flowchart showing Intercom Core Data Model connected to External Integrations, Reporting Foundations, and three components: Inbox Design, Routing, and Workflows, with arrows indicating interactions among the components.

Agent execution layer
(Human Support Agents & AI Bots)

Measurement is the difference between AI working and AI being busy

Three numbers tell you whether the engine is actually moving: how much Fin is resolving, how customers feel about it, and where the funnel breaks. We make sure all three are visible from day one, then build the rhythm to act on them.

Automation Rate

Understanding Measurement Layers

The share of your total support volume Fin is touching, versus resolution rate which measures how many of those interactions actually get completed or solved successfully.
CX score

Effective Data Collection Techniques

An AI-powered metric that automatically evaluates customer sentiment in every conversation, without sending a single survey.
Performance Funnel

Techniques for Data Analysis

Where conversations land, where they stick, and where they leak into human queues.

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Whether you're scoping your first AI initiative or scaling one that's already live, a 30-minute call is the fastest way to find out if Sabel's the right partner. No deck, no pitch. Just your situation and our view of what good looks like.
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