Solutions Process automation

PROCESS AUTOMATION

Less manual follow-up. More process running on its own.

We identify repetitive tasks, information handoffs, and waiting points, then turn them into simpler, more consistent, measurable workflows.

Assess a process See what can be automated
Event→Rule→Action→Status updatedException → person

THIS STILL DEPENDS ON A PERSON

Where is someone still stepping in because the system does not?

  1. 01They receive a file and enter it into another system.
  2. 02They check every day to see whether a status changed.
  3. 03They gather information from several sources to build a report.
  4. 04They send reminders to keep the process moving.
  5. 05They re-enter information that already exists.
  6. 06They manually review exceptions that could be detected automatically.

PROCESS MAP

Automate the normal path. Design what happens when exceptions occur.

We follow the full route: what triggers it, what information it needs, where it waits, and when a person should step in.

  1. 01InputWhat triggers the process?
  2. 02ValidationWhat data does it need?
  3. 03Rule / decisionWhat condition applies?
  4. 04ActionWhat can be executed?
  5. 05UpdateWhich system changes?
  6. 06NotificationWho needs to know?
  7. 07ExceptionWhen should a person step in?

WORK PATTERNS

What we automate.

A

Information movement

Transfer information · consolidate sources · synchronize statuses.

B

Repetitive execution

Create records · trigger actions · produce documents · run checks.

C

Follow-up

Detect due dates · flag deviations · request approvals · update owners.

D

Processing

Validate data · classify information · apply rules · prepare a decision.

E

Exceptions

Detect out-of-tolerance cases · escalate · record the decision · continue.

CAPABILITIES · NOT SYNONYMS

Automation does not necessarily mean AI.

Integrationconnects systems and moves information.

Automationexecutes rules, actions, and follow-up.

AIinterprets text, documents, or context.

Agentscoordinate multiple steps and tools.

AI consultinghelps determine where AI makes sense.

HUMAN CONTROL

Real processes have exceptions.

Good automation does not ignore cases outside the normal path. It defines tolerances and makes clear when to stop or request human intervention.

  • Normal path
  • Tolerances
  • Exceptions
  • When to stop
  • Human intervention
  • What to record

EVIDENCE · ANONYMIZED MANUFACTURING CASE

One monthly process. A different operating scale.

Monthly production and purchasing forecast.

BEFORE11 days
AFTER~1 minute
INTERVENTION

An autonomous system and agent that gathers and processes real information from multiple sources.

These results reflect a specific implementation and do not imply identical outcomes in other projects.

OBJECTIVES · NOT GUARANTEES

What we aim to improve.

  • Reduce manual intervention.
  • Shorten cycle times.
  • Increase consistency.
  • Improve traceability.
  • Free up team capacity.
  • Make process status visible.

DO NOT AUTOMATE EVERYTHING

Running a bad process faster does not make it a good process.

Automation may not make sense when:

  • the process changes constantly;
  • the volume does not justify implementation;
  • human judgment adds real value;
  • the process needs redesign first;
  • a simpler solution is enough.

NEXT STEP

Show us where the process still waits for a person.

Tell us which part still depends on manual work. We start by understanding the path and its exceptions.

Assess a process You do not need to arrive with the solution defined.