Process Mapping First
The most common mistake in automation initiatives is starting with the technology. The question should not be "what can we automate?" but rather "how does work actually flow through our organisation, and where does it stall?"
Process mapping means documenting the actual path that work takes — not the idealised version in the process manual, but the real sequence of steps, handoffs, approvals, and workarounds that people use every day.
Scoring for Automation Potential
Once processes are mapped, each can be scored across several dimensions: volume (how often does this process run?), consistency (how standardised are the inputs and outputs?), complexity (how many decision points are involved?), and impact (what is the cost of the current manual process?).
High volume, high consistency, low complexity processes are the natural starting points. They offer the clearest path to measurable returns with the lowest implementation risk.
The Effort-to-Impact Matrix
Plot your scored processes on a two-axis matrix: implementation effort on one axis, business impact on the other. The upper-left quadrant — high impact, low effort — contains your quick wins. Start there.
Resist the temptation to pursue the most technically interesting automation first. The goal is to build momentum and demonstrate value. Quick wins create organisational buy-in for larger initiatives.
Building the Roadmap
A credible automation roadmap sequences initiatives across three horizons: immediate wins (0-3 months), medium-term projects (3-6 months), and strategic transformations (6-12 months). Each horizon should have clear success metrics and decision gates.
Written by
The Orryx advisory team
Orryx is an advisory practice for AI and operational transformation. We work outcome-first and keep a human in the loop — our perspectives come from designing and governing automation in production, not from theory.