Should you automate that process at all?
Not until someone has asked why it exists. Automating a process makes it permanent: the volume becomes invisible, the cost becomes a licence line, and nobody revisits it. The cheapest process is the one you no longer run, so the first question is whether the work should exist, and only then how to improve what genuinely remains.
What it costs to leave unsolved
Automation locks the process in: once automated, nobody asks why it runs
The wrong candidate at the top of the queue wastes your best delivery capacity
Upstream failures keep generating demand, now serviced faster instead of removed
Unwinding an automated process later costs more than never automating it
Why has nobody fixed this already?
Every tool and every consultant in this market is paid to make the existing process run better: standardise it, configure it, automate it, put an agent on it. Asking whether the process should run at all is nobody’s job. And a system whose only evidence is observed work cannot ask it: watching the work can only make the observed process faster.
How Valstra solves it
Omni provides the platform capabilities; Valstra's experts make the change stick inside your organisation.
Challenge the requirement first
Because the model includes the documents behind the work (policies, contracts, standards), a process can be traced to the requirement it serves, and that requirement can be questioned before anything is built.
Process intelligenceRemove before you optimise
We look upstream for what creates the demand, identify work that can be removed outright, and only then simplify, accelerate, and automate what genuinely remains.
Process intelligenceProve what remains before you commit
What survives elimination is designed as an explicit before and after scenario, with every eliminated element consciously accounted for rather than silently dropped.
Future-state scenariosWhat to expect
The four things worth knowing before you talk to any vendor, answered for this one.
What we need from you to start
Your automation candidate list, if you have one, plus the material behind the processes on it: policies, procedures, contracts, wiki pages. We build the model from that.
Who is involved, and for how long
The owner of the automation programme, plus the process owners for challenge sessions. Expect us to ask why the work exists before we discuss how it runs.
Time to the first useful output
Within days: a model of the candidate processes traced to the requirements they serve, with elimination candidates separated from genuine automation candidates.
Project or permanent programme?
A scoped engagement that re-prioritises your existing programme. The discipline of asking "should this exist?" before "how do we speed it up?" stays with your team afterwards.
Wondering how far to trust AI-generated answers about your business? Read how we constrain the AI.
Common questions
How do you decide whether a process should be eliminated or automated?
Trace it to the requirement it serves. If the requirement no longer stands, the process is a candidate for removal, however efficiently it runs. If the requirement stands, look upstream at what creates the volume before making the downstream work faster. Only then does automation enter the conversation.
What does elimination look like in practice?
A common shape: a team spends a third of its time looking up customer records in a second system. The usual answer is to automate the lookup. The better questions are why the two systems were ever separate, and what upstream failure creates the volume of requests in the first place. Answering those can remove the work; automating it would have made it permanent.
Can watching how people work tell you whether the work should exist?
No. Observation shows what people do, not why. To ask whether work should exist you need what the work is for: the policy, the contract, the standard, the sign-off behind it. Valstra reads those documents as well as observing the work, which is what makes the elimination question answerable.
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