Start with the work you want to solve.

You do not need to know what the automation should be called or what technology it should use. If you can explain what happens today and what result you want, we already have a place to start.

Processspecific
Systemsreal
Outcomeuseful
Real workinput → process → outcome

Documents and information

Turn scattered information into usable data.

  • classify incoming documents;
  • extract fields and record them in a system;
  • compare information across several documents;
  • detect missing or inconsistent data;
  • identify entities, references or relationships;
  • summarise information for review;
  • transform formats and structures;
  • retrieve relevant information from documentation;
  • preserve the original and link it to derived data when needed.

Systems and processes

Make several applications part of the same process.

  • synchronise information;
  • coordinate onboarding, offboarding or other changes;
  • move data between applications;
  • query one source before acting in another;
  • chain steps that are currently done manually;
  • wait for statuses or confirmations;
  • retry when an operation fails temporarily;
  • record outcomes in the right system;
  • recover a process when one step cannot be completed.

Review and control

Check what matters, consistently.

  • detect duplicates;
  • find discrepancies between sources;
  • check rules and conditions;
  • identify omissions;
  • review amounts, statuses or references;
  • detect relevant changes;
  • flag exceptions;
  • run controls as often as needed;
  • bring only the cases that need attention to a person.

Monitoring and response

Watch a process and act when something changes.

  • check the status of orders, incidents or cases;
  • detect changes in external sources;
  • monitor defined conditions;
  • wait for an approval or response;
  • trigger notifications, tasks or actions;
  • coordinate responses across several systems;
  • retry operations;
  • keep following the case until it is closed.

Research and decision support

Bring the context together before a decision is made.

  • compare offers or alternatives;
  • investigate an incident across several sources;
  • classify and prioritise requests;
  • connect scattered information;
  • detect when evidence is missing before reaching a conclusion;
  • prepare recommendations;
  • explain why a case needs attention;
  • present evidence for a human decision.

Generation and communication

Turn the outcome of a process into a useful output.

  • generate reports;
  • prepare documents;
  • draft communications from process data;
  • create summaries;
  • produce structures another system can consume;
  • update records;
  • notify when something relevant happens.

A few complete processes to make the possibilities tangible

Note: These are examples of work that can be automated. Each implementation is designed around the company's real process and systems.

Complete processes rather than tool names: inputs, checks, systems, exceptions and outcomes.

Invoice received → checks → ERP

The automation receives an invoice, extracts the data, identifies the supplier and purchase order, checks amounts and fields, detects duplicates and records the result in the ERP. If it finds a discrepancy, it prepares the case for review.

Supplier onboarding

It receives data and documentation, checks whether the supplier already exists, validates the required information, requests approval where needed and creates the record in the defined systems.

Employee onboarding

Once an approved hire arrives, it coordinates identity, email, payroll, applications and permissions. If a system does not respond, it keeps the process state and continues when it can.

Support ticket → investigation → response

It brings together information from the ticket, documentation and technical systems, prepares a diagnosis or response and updates the case. Scenarios that need intervention reach a person with the relevant context already assembled.

Contract received → analysis → approval → signature

It extracts parties, dates, amounts and relevant clauses, checks related information, prepares the analysis, requests review or approval and continues the process when the signed document arrives.

Bank reconciliation

It retrieves transactions, normalises them, compares them with invoices and receipts and records clear matches. Ambiguous cases are prepared for review.

Sales lead → enrichment → CRM

It normalises data, resolves duplicates, gathers useful information, prepares a classification or priority and updates the CRM with validated data.

Recorded meeting → minutes → tasks

It processes the recording, creates a transcript, identifies decisions and tasks, prepares the minutes and creates the corresponding actions in the team's work tools.

One process can combine several of these capabilities.

It might start with a document, query an ERP, wait for an approval, interpret a piece of text, detect an exception and finish by updating another system.

That is why the examples are useful for recognising possibilities, but the automation itself is designed around the complete outcome.

Tell us what you want to automate