Business Process Automation.
Give the repetitive work to software.
Drema automates the repetitive processes that consume your team's hours: data moving between systems by copy-paste, documents handled manually, approvals chased over email. We automate the predictable majority and route genuine exceptions to a person, because a process that cannot handle exceptions gracefully will be abandoned.
Give the repetitive work to software.
What usually
goes wrong.
Someone spends two days a month rekeying data between systems. Invoices are typed by hand from PDFs. Approvals stall because a request is buried in an inbox. Everyone knows it is wasteful, and nobody has time to stop and fix it.
Everything that ships
with this work.
Not a menu to choose from. Each piece is here because leaving it out is what makes this kind of project fail six months later.
Process discovery
Documenting steps, volumes, time spent and error rates, so automation targets the costly parts rather than the visible ones.
Automation build
The workflow implemented against your systems' APIs, with logic explicit and version-controlled.
Document processing
Extracting structured data from PDFs, forms and emails, with AI where the layouts are inconsistent.
Exception handling
A defined path for anything the automation cannot confidently handle, routed to a person with context attached.
Monitoring and alerting
Visibility into what ran, what failed and what is waiting, so silent failure is not possible.
Audit trail
A record of every automated action, which matters as soon as finance or compliance is involved.
The order matters more
than the tools.
Most of what separates a project that lands from one that stalls is sequence. This is the order we work in, and why each step comes where it does.
- 01
Measure the process
Volume, time per case and error rate. Without these there is no way to know whether automating is worth it.
- 02
Simplify first
Some steps exist only through habit. Removing a step beats automating it, and we look for that before building.
- 03
Automate the common path
The 80% that is predictable, leaving edge cases to people initially.
- 04
Handle exceptions well
Clear escalation with full context, because clumsy exception handling is what kills adoption.
- 05
Widen coverage
Extend automation into the exception categories that prove frequent enough to justify it.
Where this gets
put to work.
The situations this service is built for. If one of these sounds like your problem it is worth a conversation — and if none of them do, say so on the call and we will point you at what would actually fit.
Invoice and document processing
Extracting, validating and posting data from unstructured documents.
Data synchronisation
Keeping records consistent across CRM, ERP and support systems without manual rekeying.
Approval routing
Requests that move to the right approver automatically and escalate when they stall.
Reporting automation
Recurring reports assembled and distributed without anyone building them by hand.
Have a use case that is not on this list? That is usually the interesting one.
Chosen to fit,
not to impress.
We pick tools that suit the problem and that your team can maintain after we hand over — never to pad a capability list.
Questions we
get asked.
Straight answers, including the ones that talk you out of work we would otherwise be paid for.
How do we know which process to automate first?
Multiply volume by time per case to find where the hours actually go, then weigh how stable and rule-based the process is. High-volume, stable, well-defined processes pay back fastest. The most annoying process is not always the most expensive one.
What is the difference between this and RPA?
RPA drives the user interface of a system as a human would, which is fragile and breaks whenever a screen changes. We prefer API-level integration, and use RPA only where a system genuinely offers no other interface.
Will automation eliminate jobs?
In the engagements we run it removes the tedious portion of jobs. Teams typically absorb growth without adding headcount and spend their time on exceptions and judgement instead of data entry. We would rather set that expectation honestly than oversell a headcount reduction.
What happens when the automation fails?
It fails visibly and safely. Failed cases are queued with the full context for a person to resolve, and alerting surfaces the failure immediately. Silent failure is the outcome we design hardest against, because it erodes trust permanently.
How quickly does automation pay for itself?
For a well-chosen high-volume process, typically within months rather than years. We calculate the expected payback during discovery so the decision is made on numbers, and we will tell you when a process is not worth automating.
Can you automate a process that involves judgement?
Partially. We automate the mechanical steps around the judgement and present a person with everything they need to decide quickly. Full automation of genuine judgement is usually the wrong goal.
Talk it through with a founder.
Bring the actual problem. You will get a straight answer on whether business process automation is the right approach
— including when it is not.
