KrelunaBack-office workflows
Potentially reduce manual copying, repetitive checks and tool switching.
Kreluna ecosystem
Business process automation without losing control
Kreluna’s approach starts by mapping the workflow, identifying repetitive steps and defining responsibilities before any automation is proposed.
Kreluna is in active development. Early access, feature availability and integration coverage are confirmed individually for each request.
Where automation creates value
Document intelligence
Prepare extraction and organisation of information from approved documents for review.
Coordinated workflows
Coordinate people, deadlines and approvals through a proposed traceable process.
Automate handoffs, not accountability
Many repetitive processes sit between email, documents, task systems and approvals. Kreluna can prepare the next step while keeping ownership visible and placing important actions behind an approval.
- Route incoming information
- Highlight missing items and deadlines
- Prepare drafts for human review
Begin with one measurable workflow
The best starting point is recurring work that the team understands well. Map normal steps, exceptions, systems and decision owners before proposing any automation.
- One process at a time
- Measurements agreed in advance
- Integration support confirmed individually
Frequently asked questions
Is every step fully automated?
No. A proposed workflow can retain approval points and must account for real roles, exceptions and responsibilities.
How is value measured?
Agree understandable measures before a pilot, such as manual handoffs, preparation time or items requiring rework.
What if the underlying process changes?
The workflow should be reviewed rather than allowed to operate outside its agreed scope.
Built around control and clarity
Every project starts with a defined objective, authorised information and a clear review process. Capabilities are enabled progressively and important actions remain subject to approval.
- Defined scope and responsibilities
- Human review for important actions
- Clear limits and measurable outcomes
Kreluna resources
Guide: which processes should you automate first?
A practical method for a stable, measurable and reversible pilot.
Practical applications
Automate the workflow, not merely a click
Reliable automation coordinates inputs, rules, responsibility, exceptions and outcomes. When the underlying process is unclear, a new tool may simply accelerate the error.
Orders and requests
Capture information from forms or messages, check completeness and route exceptions before data enters a system of record.
Administrative documents
Classify files, compare fields and flag discrepancies while keeping posting and approval with authorised roles.
Cross-team hand-offs
Create tasks and notifications when a case changes state, reducing manual copying and making the next owner visible.
Recurring reports
Collect data from defined sources, apply checks and prepare a view for validation before distribution.
Project method
From current state to a controlled workflow
The initial map records how work actually happens, including waiting and workarounds. Only then is the future state designed across rules, AI and human action.
- Define the outcome
Describe the problem, who performs the work today and which observable result should improve.
- Map data and exceptions
Identify sources, permissions, manual hand-offs, unusual cases and points where a person must decide.
- Test a narrow scope
Run the pilot on authorised sample data against acceptance criteria agreed before the test.
- Measure and decide
Compare the workflow with its baseline, then extend, revise or stop it on evidence rather than enthusiasm.
Data and accountability
Exceptions, safe stop and maintenance
Every automation needs to know when not to proceed. The process owner retains the ability to stop the flow, correct a rule and manage a non-standard case.
- Documented entry and exit conditions
- A separate route for missing or inconsistent data
- Approvals proportionate to the action’s risk
- Logs that explain what happened
- Review when systems, forms or procedures change
Measuring value
Establish a baseline before automation
Time saved and cost avoided are credible only against observed starting data and must include quality, exceptions and running cost.
Active and waiting time
Separate work effort from delay between hand-offs.
Exception rate
Cases outside the rules that require a different route.
Errors and rework
Corrections after execution and their downstream impact.
Operating cost
Licences, maintenance, supervision and change—not just staff time.
Before you begin
Automation decision criteria
Can a system without an API be automated?
Sometimes an authorised alternative exists, but fragility and maintenance increase. Feasibility must be tested rather than promised.
Should a frequently changing process be automated?
It is usually better to stabilise it or select a more predictable portion first. A pilot needs rules stable enough to evaluate.
Does every automation need AI?
No. Rules, forms and integrations are often clearer. AI is useful where it adds verifiable document or language capability.
References for responsible design
Requirements depend on the organisation’s role, the data and the system’s actual use. That is why assessment comes before configuration.
- NIST AI Risk Management FrameworkVoluntary framework for governing, mapping, measuring and managing AI risk.
- EDPB — Data protection by design and by defaultSME guidance on safeguards, minimisation and accountability.
- OWASP — LLM Prompt Injection PreventionRisks and defences for AI applications connected to documents and tools.
These sources help frame the work; they do not replace legal, privacy or security advice for a specific situation.