Our process simplification method: Discover → Simplify → Automate → Evolve

Every engagement starts with listening. We run short interviews with the people who do the work every day, not just management, and follow the process step by step: who receives the request, where it waits, which system is used and how often the same data is keyed in.

We then draw an as-is map of each process and measure its key indicators: cycle time, number of steps, error rate and approximate cost in OMR. These numbers become the baseline we compare results against later.

Finally, we rank opportunities on an impact-versus-effort matrix and recommend one or two processes to start with. For a quick picture before you talk to us, try the digital maturity assessment.

This stage usually takes two to four weeks, depending on how many processes and departments are involved.

This is where much of the saving happens, often before a single line of code. We review every step on the as-is map and ask: is it necessary? Can it merge with another? Can the decision move closer to where the work is done?

With the process owners we design the to-be state: fewer steps, approvals based on clear thresholds instead of signing off everything, standard forms and a single source for each piece of data. We also document the business rules automation will rely on, such as authority limits and exception paths.

Simplification changes how people work, so we involve them in the design and explain the reason behind every change. That lowers resistance and makes go-live smoother. On larger programmes we back it with a change management plan.

Once the process is short and clear, we choose the best-fit tool, with no bias towards any vendor. It might be workflow automation for approvals and requests, RPA bots for systems without APIs, direct system integration, or AI to read documents and answer customers in Arabic.

We build in short iterations and show each one to your team to test and comment on. We usually begin with a limited pilot on part of the volume or one department, measuring the same indicators we set during discovery.

We only move to full rollout once the pilot has proven its results, security, access rights and exception paths have been tested, and a clear support plan is in place for the first weeks of operation.

Go-live isn't the end. After launch we track a simple KPI dashboard showing cycle time, volume processed, errors and exceptions, and compare it with the baseline so management can see in numbers what was achieved.

We act quickly on early feedback and tune the rules based on real usage. At the same time we train your team to run, monitor and make simple changes to the solution, and hand over clear documentation in Arabic and English, so the solution doesn't depend on us.

Then we return to the opportunity matrix and pick the next process. This way improvement becomes an organisational habit, and each success funds the next step. To estimate the impact of that next step, use the savings calculator.