AUTOMATION ADVISORY AND CONSULTING
Process optimisation and automation planning
A finance team asks to automate a three-week invoice cycle. Look closer and half the elapsed time is a queue no one owns, a duplicate approval added years ago, and a spreadsheet that exists only to reconcile two systems that should talk directly. Automating that process as-is would make a broken flow run faster and cost more to maintain. Process optimization and automation strategy exists to prevent exactly this: fix the process, then automate the version worth keeping, in the order that returns value fastest.
- Redesign first, so you automate less and maintain less
- Every root cause classified: eliminate, simplify, standardize, or automate
- A roadmap sequenced by value, effort, and risk, not enthusiasm
Automating waste just produces faster waste.
The instinct to bot the bottleneck is understandable and usually wrong.
A process that is redundant, poorly designed, or riddled with exceptions will carry every one of those flaws into automation, plus a new maintenance bill. Our first job is to separate the work that should be eliminated, the work that should be simplified, and the work that genuinely warrants automation, then build a strategy that does them in that sequence. This work anchors automation advisory and consulting and uses our platform selection discipline to match work to tooling.
Fix the process, then automate it.
A redesigned process and a business case for the sequence to build it.
- A current-state map grounded in how work actually flows, exceptions included.
- A root-cause diagnosis classifying each drag as eliminate, simplify, standardize, or automate.
- A redesigned target process that is worth automating before automation begins.
- A prioritized automation roadmap ranked by value, effort, and risk.
- A business case with expected returns and the sequence to realize them.
Five steps, from how the work truly runs to a costed, sequenced roadmap.
Map the current state
Document the end-to-end flow as it truly runs, including the workarounds and exceptions that never appear on the official diagram. Where event data exists, we ground this in intelligent process mining rather than interviews alone.
Diagnose the drag
Identify where time, cost, and errors accumulate, and classify each root cause as eliminate, simplify, standardize, or automate.
Redesign the target state
Reshape the flow first, remove steps that add no value, and fix the process before a single bot touches it.
Match work to tooling
Assign each remaining step to the right automation class, rules to RPA, judgment to AI and agentic AI, orchestration to iBPMS.
Sequence the roadmap
Rank opportunities by value, effort, and risk so early wins fund and de-risk the harder work.
Strategy without a timeline is a wish list.
We deliver a phased roadmap so stakeholders can see what lands when and why.
Spans are illustrative; Softobiz to confirm against scope. Figures are placeholders; Softobiz to verify against your environment.
From botting a broken flow to automating the version worth keeping.
Challenge: A [global enterprise client] planned to automate a [X week] invoice cycle as-is, where half the elapsed time was an unowned queue and a duplicate approval.
Result: Redesign removed the waste first, so the automated flow was smaller, cheaper to maintain, and faster end to end. (Softobiz to verify.)
The advisory track, end to end.
Platform Assessment, Selection and Strategy
Match RPA, low-code, iBPMS, and AI to your work with a vendor-neutral scorecard before you commit.
Automation Architecture Consulting
The layered design that makes RPA, iBPMS, AI, and low-code work as one governed system.
Automation Preview
A bounded proof that turns the first roadmap opportunity into a working demonstration.
Automation Advisory and Consulting
The advisory practice this strategy engagement anchors.
What leaders ask us first.
Because automation is expensive to build and maintain. Spending it on a flawed process locks in the flaws and the cost. Redesign first, and you automate less, spend less, and maintain less.
No, but it helps. Where event logs exist, mining removes guesswork about where time is actually lost. Where they do not, we map through structured discovery.
By value, effort, and risk together. The first wave targets high-value, low-risk work so it delivers returns quickly and builds confidence for the harder cases.
Let's map how your priority process really runs and sequence the roadmap worth funding.
A current-state map, a root-cause diagnosis, and a prioritized roadmap ranked by value, effort, and risk.