Process and System Optimization
A badly digitised process is still a bad process.
We get processes into shape first. Then we automate where it really helps. So your team has time for what matters: the customer.
Book a free introductory call30 minutes. We get to know each other. You decide if it fits.
Current state
You might recognise this.
Process knowledge sits in a few heads.
Processes grew over years, rarely documented. Whoever really knows the process is spread across the company. That makes handovers cumbersome, cover difficult and change dependent on individuals. When they go on holiday, they leave a gap, not a handover.
The team fights with the process, not for the customer.
Employees spend more energy keeping handovers alive, reconciling Excel lists and resolving edge cases than they spend making the customer happy. The frustration is felt internally and spills outwards, where customers see longer response times and errors.
Automation instead of process design.
The pressure to get faster is high. RPA, workflow tools, and recently AI promise quick answers. But whoever automates a bad process only accelerates the mistake. The next escalation comes faster, not later. Tools become expensive glue instead of real solution.
A good process feels simple to the customer, even when it's complex internally. The task isn't to digitise every step, but to make sure the internal complexity doesn't reach the customer. That's exactly where our work starts.
Our approach
Three steps. Pragmatic. As equals.
No long ramp-up. No tool showroom. We listen first, then we sort it out together.
Understand
We get to know your business. Model, customer promise, process landscape, systems, team and above all: where frustration sits. We listen to what you suspect, and check it against what we see.
Day 1 to Week 3
Sort and decide
We compress topics into a workable list of priorities. What brings immediate relief for the customer, what sets the foundation for automation, what is deliberately left out. We recommend what we recommend because it fits, not because it generates billable days.
Week 3 to 6
Accompany and hand over
We support the implementation, harmonise processes, optimise interfaces, automate where it really has impact and build the knowledge into your team. When you can move on your own, we step back.
From Week 6, as long as you need
A testable question: Can you name three processes today where your team spends more time with the process than with the customer?
Whoever can list them has identified the problem. Whoever can't has no overview. Both are a reason to talk.
Areas of focus
Where we focus.
Process and System Audit
We map your processes end-to-end, secure distributed knowledge and identify bottlenecks, duplication and friction. You get an honest read, not a glossy maturity matrix.
Interface and Data Flow Optimisation
Where Excel becomes the interface, the process is missing. We make your systems talk to each other cleanly, eliminate duplicate maintenance and create reliable data flows instead of manual workarounds.
Workflow Automation
We automate the steps that are repeatable, rule-based and error-prone, without replacing your team with tools. Automation serves the people, not the other way around.
Process Mining and Data-Driven Analysis
We analyse the actual flows in your systems, not the ones documented in PowerPoint. Data-driven visibility shows where processes really run, where they get stuck, and where reality diverges from the target.
RPA and AI-Supported Automation
RPA and AI are tools, not silver bullets. We use them where they have impact: routine, pattern recognition and scaling across system boundaries. Where people should decide, we let people decide. For deep AI use case prioritisation and AI strategy, we point to our AI Consulting & Integration service.
Change Management and Team Enablement
Processes don't change on their own. We support the change in the team, build method knowledge and make sure new flows move into daily work after handover, instead of ending up as drawer knowledge.
Why DRICH.CONSULTING
From process to happy customer.
A process doesn't exist for itself, but for the customer promise it delivers. I've worked as a software developer, architect, IT project lead and Chief Data Officer. From that practice I know both worlds: the business logic and the systems behind it. That connection is the reason process work with us doesn't turn into a tool discussion.
Customer perspective at the centre
The customer wants to be happy at the end of the day. They don't care about your internal complexity. We design processes so they feel simple to the customer, even when they have to stay complex internally. Internal complexity does not belong in the customer interaction.
Process and architecture in one hand
Other process consultants see the workflow. I also see where the systems behind it don't cooperate. This dual perspective prevents beautiful processes from failing because SAP, ERP or shadow IT was never looked at first.
AI and automation as a tool, not as an end
RPA and AI can do a lot of sensible things in process automation, when they're used as tools, not as silver bullets. We check per application whether automation creates real value, or only makes the bad process more expensive and faster than it used to be.
100 percent independent. What that means concretely.
No tool commissions, no vendor partnerships with commercial strings attached, no implementation follow-on business. Concretely: We don't recommend a tool we earn money on. We don't automate a bad process. We don't sell an AI solution if the process before it doesn't fit.
20+
years of experience in
process and system work
50+
projects
delivered
100%
independent, no
tool commissions
→
From process to
happy customer
Frequently asked
What decision-makers ask us.
Classic process consultancies analyse the workflow and hand implementation over to IT. We know both sides. That saves an entire translation layer and prevents the new target state from failing against the existing system landscape.
A tool doesn't make a process good. We start by checking whether the existing processes carry the customer and relieve the team. We use tools where they fit, instead of treating them as the goal.
Both are tools. We use them where they actually create value, and avoid them where they only add complexity. A recommendation only comes after we've understood what should reach the customer. For deeper AI topics, we have a dedicated page on AI Consulting & Integration.
No, and we don't pretend otherwise. 30 minutes are enough to roughly understand your situation and to tell you honestly whether we're the right partner. If we're not, we say so. If we are, we suggest a sensible next step, which isn't automatically a paid engagement.
For the initial Understand phase, expect two to three longer workshops and a series of targeted conversations with the people who actually live the process. The prioritisation phase requires little effort on your side; we work between sessions. Subsequent guidance is usually weekly sparring.
We hold no commission agreements with tool vendors, no implementation business behind the scenes, no incentive to recommend a specific system. You can verify that at any time. This position is the reason our recommendations hold up.
Introductory call
Free introductory call
Tell us your situation. We listen, ask questions and tell you honestly whether we're the right partner. If we aren't, that's fine too.
- 30 minutes. No pitch, no presentation.
- You describe the problem. We listen first.
- You get an initial read, with no sales intent.
- No commitment afterwards.
Slots are offered on weekdays between 9am and 6pm (CET).
Team fighting with the process instead of for the customer?
Book a free introductory call