Evidence gives ambition direction
A process baseline and explicit assumptions turn a promising idea into a business case the team can test and improve.
The AutoMates Method
From process pain to measured savings.
Our automation method follows one process from assessment to operation: document the current work, prioritize the improvement, agree the business case, build with clear controls, validate the result and hand over ownership. Project decisions and success measures are defined before implementation.
What this means in practice
Project priorities are explicit
Automation opportunities and delivery steps are ranked by value, feasibility, risk, data readiness, and change effort so everyone can see why one intervention comes before another.
Success is defined from day one
At the start of the project, we agree the baseline, target measures, validation criteria, ownership, and acceptable exceptions. Every design and delivery decision can then be judged against the same definition of success.
Understand and choose
Discover the work, then decide whether it deserves a build.
Discover the current state
Document triggers, steps, systems, information, people, decisions, exceptions, and the cost of the current way of working. The output is a usable baseline, not a polished abstraction.
Prioritise with a shared score
Compare value, feasibility, operational readiness, data quality, control requirements, integration dependencies, and change effort. A high-value idea with no owner or source data is not a ready project.
Set the business case
Define what can honestly be expected to improve, the assumptions behind it, the cost of implementation, and the evidence that will be used to validate savings.
Build and validate
Design the smallest safe workflow that can prove the result.
Design control into the workflow
Architecture includes data location, access, source-of-truth rules, model selection, review thresholds, human approvals, retries, escalation, and manual fallback.
Build against real cases
The workflow is tested with representative inputs and known exceptions, not only ideal happy paths. Failed cases are documentation for the next iteration, not something to hide.
Validate against the baseline
After a controlled rollout, compare the agreed measures with the starting point. Confirm what changed, what did not, and where the process still needs human judgment.
Own and improve
Make the delivered system understandable after the project.
Handover with context
Documentation covers the workflow, controls, integrations, credentials/access responsibilities, failure modes, operating instructions, and support boundaries.
Assign a real owner
Every operating workflow needs someone who can decide when a process changes, a source system is replaced, an exception needs policy guidance, or a performance issue must be addressed.
Review the evidence
The business case should remain a living reference. A periodic review checks whether savings are still real, whether exceptions are growing, and whether a new improvement is justified.
Common questions
Answers before the call.
Clear answers to the practical questions that usually come up before a first conversation.
How should a company prioritize automation opportunities?
Use a visible set of criteria: expected value, evidence quality, feasibility, data readiness, risk, integration dependencies, process stability, ownership, and change effort. A single “ROI score” is not enough.
How is automation ROI calculated?
Start with a documented baseline, state the assumptions, distinguish projected from validated savings, and include relevant implementation, support, and change costs. The model should be reviewable by the people closest to the process.
What makes an AI workflow safe to deploy?
A suitable architecture, least-necessary access, clear data handling, bounded actions, human review where the cost of error matters, tested exception paths, documentation, and accountable operational ownership.
Continue exploring
Process Discovery
See the first stage of the method in detail: scope, workshop, baseline, and outcomes.
Trust & Security
Review the design principles for data, access, approvals, and handover.
From method to implementation
Review the integrations, approval rules and operating responsibilities behind the build.
AutoMates
Make one decision with better evidence.
If there is a process worth improving, the first useful output is a shared understanding of its cost, constraints, and realistic next step.