Welcome to Humans of Autologyx, a series where we introduce the people behind the platform.
Autologyx is built by a team of workflow thinkers, engineers, and legal tech specialists who spend their days figuring out how work actually gets done, and how it can be done better.
In each post, we'll sit down with someone from the team to talk about their role, the problems they help solve, and what it really takes to turn complex processes into working automation.
Today, we’re speaking with Logan Oliver, Senior Implementation Consultant at Autologyx.
As a Senior Implementation Consultant, Logan works directly with clients to design and build the workflows that power their automation projects.
His role sits at the intersection of process design, technology, and client collaboration. That means understanding how organisations actually work, translating those processes into structured workflows, and ensuring the technology supports them.
Or, as Logan describes it, solving a series of complex puzzles.
One of the key themes Logan highlights is that successful automation always starts with understanding the process.
Before any workflows are built, the team spends time with clients mapping how work currently happens.
This discovery stage typically involves:
The goal is simple: understand the work before trying to automate it.
Jumping straight to technology without doing this groundwork is one of the most common mistakes organisations make when adopting automation.
Once the process is understood, Logan moves into the build phase.
This is where the conceptual workflow becomes a working system inside Autologyx.
That often involves designing things like:
In one recent project Logan mentions, the team built a system to intelligently allocate matters to the right people based on availability and expertise.
These kinds of workflows ensure work reaches the right person at the right time, without manual coordination.
Before any solution goes live, testing plays a critical role.
For Logan, this means ensuring that:
User feedback is also essential at this stage.
Testing isn't just about technical validation, it’s about making sure the workflow fits the real-world process it’s meant to support.
What Logan enjoys most about his role is tackling complex operational challenges.
Many of the processes clients bring to Autologyx are highly nuanced, involving multiple stakeholders, documents, and decision points.
Rather than simplifying these processes too aggressively, the goal is often to model that complexity properly inside a structured workflow.
This is where platforms like Autologyx excel: they allow organisations to build workflows that mirror how work actually happens.
Logan also highlights how new features continue to expand what’s possible within workflows.
One example is the Loop Actor, a feature designed to handle tasks that involve repeating actions across multiple documents or items.
Capabilities like this make it easier to automate processes that previously required manual intervention.
For clients, that means:
From Logan’s perspective, successful automation comes down to a few core principles:
Understand the process first
Technology should support the workflow, not define it.
Work collaboratively with clients
Building automation is most successful when clients are involved in designing the solution.
Don’t be afraid of complexity
Complex problems often lead to the most valuable automation opportunities.
🎥 Watch Logan talk about his role and approach in the full interview below.
At Autologyx, we believe the future of work isn’t just AI, it’s AI embedded inside well-designed, deterministic workflows.
The people in this series are the ones turning that vision into reality.