Technology
Automation that shortens the whole process, not just one step
We automate processes end to end, across the departments they pass through, so work moves without waiting in inboxes between teams. The result is shorter cycle times, fewer errors and a clear view of where every case is.
Who this is for
- Chief operating officers and operations directors with processes that cross several teams and take longer than they should.
- HR and people operations leaders handling high volumes of onboarding, visa or employee-lifecycle cases.
- Smaller organisations with one or two repetitive, error-prone workflows that consume time out of proportion to their value.
The problem is usually between the steps
Most processes are not slow because any one step is slow. They are slow because work waits: for an approval, a document, or the next team to pick it up. Each function automates its own piece, at its own speed, and the hand-offs between them stay manual.
- Cases tracked in spreadsheets and email because no system follows them end to end.
- People chasing other people for status updates.
- The same data typed into several systems.
- Nobody able to say quickly how long the process takes, or where it gets stuck.
- In a smaller organisation, one person who knows how it works, and a process that stalls when they are on leave.
This is the join that nobody owns. HR, IT and the business function each hold a piece of the process, but no one owns how the whole piece of work gets done.
What the work covers
- Process discovery: mapping the real workflow across functions, including the informal steps.
- Redesign before automation: removing unnecessary steps, approvals and hand-offs first.
- Actor allocation: deciding which steps a person should do, which should be automated, and where AI genuinely helps.
- Build: automating the redesigned workflow end to end.
- Rollout and adoption: training, support and measuring the effect.
How we approach it
We start from the work rather than the technology. Each task needs the right actor: a person, a bot or AI, at the right time. Sometimes the answer is a person with better information; sometimes a simple rule-based automation; occasionally AI. We do not assume AI is the answer, not least because the cost of running it at every step needs to make sense over time.
Because our Human Performance practice designs organisations as well as processes, we pay attention to the people side: who owns the process once it is automated, how roles change, and what happens when the automation is unavailable.
Our automation work can run on NasIQA, 10k’s platform, which supports anything from a simple workflow to enterprise-wide systems. You do not need a large platform to start; one process is a good beginning.
Questions
Where should we start?
With the process that costs you most in time, errors or frustration, and that crosses more than one team. One well-chosen process usually shows quickly whether automation is worth extending.
Is this the same as robotic process automation?
Rule-based bots are one possible tool. We choose the actor for each step, and that may be a bot, a person with better tools, or AI where it adds value.
How do we know the automation is doing the right thing?
We design visibility into the process from the start, rather than adding it afterwards. That matters most in regulated environments; see governance and explainability.
We are a small organisation. Is this too big for us?
No. Automation can begin with a single workflow, and the same platform can grow with you if you need it to.
Your organisation is the system. Let’s talk about how it could work as one.
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