Erik Mashkilleyson

Work / Neverlook

Neverlook

Making autonomy understandable.

Client
Neverlook
Project
Brand architecture, positioning and digital customer journeys
Year
2026
Sector
Financial automation, AI
My role
Brand architecture · Positioning · UX strategy
Themes
AI, Technology, Trust, Future systems
Sheet
03
Fig. 01
Neverlook banner: Never look at an invoice again. You have better things to do.
Never look at an invoice again. You have better things to do.

I helped turn autonomous invoice-processing technology into a product people could understand and trust, defining the brand architecture, category, positioning and digital customer journey for Neverlook and FabricAI within Visma.

01 System

A product built around confidence

Invoice processing sits inside a business’s financial routines. Introducing autonomy into that process makes trust central to the buying decision. Software partners need to understand how a product fits into their platform. Accounting firms need to understand how it changes daily work, what happens when an invoice needs attention and how performance can be assessed.

My task was to make the technology’s role clear across the brand and the customer experience.

02 Story

Giving the names a clear relationship

The architecture gave each name a job. Neverlook is the autonomous invoice-processing product for software partners. FabricAI is the company and technology behind it, with a continuing customer-facing role in accounting. Visma Solutions Oy is the owner and corporate home.

I helped define the category as autonomous invoice processing. That description established the scope of the product and gave the commercial story a consistent starting point. The message hierarchy then addressed the different priorities of software vendors and accounting firms.

Never Look Rate: the proportion of invoices processed with zero human handling or checking.

03 Society

Making the promise measurable

The strategy established Never Look Rate as the central proof metric: the proportion of invoices processed with zero human handling or checking. It translates a technical capability into an outcome customers can follow over time.

Trust also needed to be visible in the experience. The principles included demonstrations on customers’ own invoices, understandable pricing and outcomes, a full audit trail and clear exception handling. Confidence thresholds determine when the system can process an invoice automatically. When human attention is required, the exception comes with an explanation.

Never Look Rate, exception rate and human touches together provide a practical way to discuss performance and oversight.

Fig. 02
Slide defining the Never Look Rate as the percentage of invoices processed without anyone touching or checking them.
Never Look Rate gives the autonomy promise a measurable expression.

04

Designing the path to adoption

My UX work covered customer journeys, website messaging, demonstrations, conversion paths, onboarding and performance visibility. The journey needed to answer a sequence of questions: what does this do, will it work for our situation, how do we introduce it, and how will we know it is delivering value?

The resulting framework connected the category promise to the evidence and experience needed to support adoption. It gave the product a clear name, a clear role and a clear way to demonstrate its value.

Fig. 03
Customer journey diagram from stranger to customer, with triggers marking each step.
Customer journeys connect initial interest with proof, onboarding and visible performance.
My role

I defined the brand architecture, category, positioning and digital customer journey, including the UX strategy for messaging, demonstrations, conversion, onboarding and performance visibility.

What we created
  • Brand architecture
  • Category definition
  • Positioning and message hierarchy
  • Proof metric: Never Look Rate
  • Trust and oversight principles
  • Customer journeys and UX strategy