Scoped to UK SMEs and the regulated mid-market that don't already have a dedicated BPM function. Every challenge maps to a named service or product, the mechanism behind it, and one next step.
We don't really know what our processes are. Only what people say they are.
Every downstream decision, automation and audit is built on a description, not the real thing. Improvement programmes fix the documented process and the problem recurs, because the real one was never captured.
Our process content is scattered across Visio, SharePoint and SOPs. There's no single source of truth.
The repository fills with duplication, stale ownership and conflicting standards. Nobody trusts it, so teams rebuild locally and compound the mess. Every question becomes a manual hunt across four systems.
We can't answer basic questions fast. Who owns this, what depends on it, what breaks if a system fails.
When something breaks or a regulator asks, you lose days assembling an answer. Decisions are delayed or made blind, and change lands with dependencies nobody flagged.
We think we're compliant but can't prove it. Audits are a quarter-end scramble.
Compliance drift and policy-process disconnects surface in audits and regulator reviews as findings, remediation cost and reputational exposure. Audit prep burns weeks of the team's time every cycle.
We don't know where we're exposed. Risks with no control, single points of failure.
Structural risk sits embedded in the model until it surfaces as an incident, an outage or an audit finding, after the fact, and expensive to remediate.
Our improvement programmes optimise symptoms. The fixes don't stick.
CI spend is wasted, the same problems recur, and the credibility of the improvement function erodes with every initiative that fails to hold.
We're about to scale or transform processes we've never validated.
Most transformation programmes scale existing process failure. Downstream impacts are missed, and the cost lands as rework after implementation, the most expensive place to find it.
We suspect money is leaking in our processes but we have no number.
Without a baseline you can't justify the investment to fix it or measure the benefit once you have. The gap stays invisible on the P&L.
We have an approved design, but the process actually runs differently.
A design-reality gap means two versions of the truth. Automation and reporting get built on the wrong one, and the approved model quietly becomes shelfware.
We want to adopt AI but don't know if our processes and data are ready.
AI applied to undocumented, fragmented processes automates the chaos and wastes the investment. Readiness gets assumed, not tested.
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