Invoice Processing
Automate invoice processing from receipt to payment
Automation & RPA
Automate repetitive tasks and optimize business processes with RPA, workflow automation, and process mining.
Five ways this goes wrong
Every one of these is something we have been called in to fix after someone else built it. Which is why we plan for all five before writing code.
01/05
What usually happens
Most initiatives never leave proof of concept, because nobody planned for production. The demo works, the business case never lands, and the budget quietly moves on.
Seen on projects we inherited, not hypotheticals.
How we handle it
Discovery ends in a production plan, not a demo. If a pilot cannot reach production, we say so before it is built.
Inside the practice
4 capabilities, and engagements usually combine several. Open any one to see how we deliver it.
Measured, not promised
Four outcomes we agree at the start of an engagement and hold ourselves to at the end. If we miss one, that shows up in the review, not in the small print.
Increase productivity by up to 80% through automation
Eliminate human errors in repetitive tasks
Reduce operational costs significantly
Enable round-the-clock automated processing
Shipped more than once
Patterns we have built before, and the shape of problem each one suits. If your situation is close to one of these, we have the reference architecture already.
Automate invoice processing from receipt to payment
Streamline customer onboarding with automated workflows
Automate data migration between systems
A sequence you can plan around, with a decision point at the end of each phase rather than one big reveal at the end.
Identify and analyze processes suitable for automation
Design automation workflows and exception handling
Develop and test automation bots
Deploy bots and implement monitoring systems
Optimize performance and scale automation
UiPath, Power Automate, Blue Prism, Automation Anywhere, Process Mining
Celonis, Process Mining, Task Mining, Process Analytics, Optimization
The tooling we actually build automation & rpa on.
Logic Apps, Copilot Studio, Power Automate, Workflow Engine, Business Rules
SAP Integration, Salesforce, Dynamics 365, Workday, ServiceNow
What we are asked most often before a automation & rpa engagement starts.
You do not have to know. Discovery exists to answer exactly that, and it ends in a written recommendation — including the recommendation not to proceed, if the numbers do not support it.
Discovery runs one to three weeks. Build phases are typically six to sixteen weeks depending on scope, delivered in increments you can actually run rather than one release at the end.
That is the normal case rather than the exception. Integration and phased migration are scoped in the first phase, because something that cannot reach your existing workflows and data is not finished.
You do. Source, infrastructure definitions, trained models and documentation land in your own repositories and cloud tenancy as we go — not in a handover at the end.
Monitoring, alerting and agreed response targets are part of delivery, not an upsell. Where we run the platform under managed services, we are the ones who respond.
Tell us what you are trying to change and we will map what it actually takes — architecture, sequence and cost — before anyone commits to a build.
Book a Free Architecture ReviewWhat you get from the audit
Yours to keep whether or not you engage us.