Process automation

No more copying data between systems

Does someone in your company copy data from email to the CRM, from the CRM to accounting and back again, every day? Business process automation moves such repetitive tasks to a mechanism that does them by itself, the same way every time. Codari connects the systems you already have and starts with one process that is frequent, repetitive and costly when it goes wrong.

Describe a process to automate

Which processes should you automate first?

CriterionQuestionSign it's worth it
FrequencyHow many times a week does the process run?Daily, or several times a week
TimeHow many minutes does it take each time?A few minutes times many repetitions
Cost of errorWhat happens when there's a mistake?A wrong invoice, a lost lead, a missed deadline
StabilityAre the steps fixed and rarely changing?Yes. If not, sort out the process first

The last criterion matters most. Automating an unstable process locks in the mess, so sometimes we start by tidying up the steps and only then write code. We describe a practical plan in business process automation: where to start, and the types of automation in increasing efficiency through process automation.

What do we automate in practice?

ProcessDone by handAfter automation
Leads from forms and emailSomeone retypes them into the CRM, the lead waits its turnThe lead lands in the CRM instantly, with an owner assigned and a notification
Sales and accountingThe same data typed twice into two systemsOne source of data, the other system syncs itself
Approvals and documentsEmails asking “who has this now?”A workflow with stages, reminders and a decision history
Recurring reportsCollecting numbers from several sources by handA report generated and sent on schedule
Incoming messagesSorting the inbox by handRules that route messages to the right people

At a larger scale it looks like Octopus, the system we built for ŁKS Łódź: it brings data from many of the club's systems into one place. We tell the story in a case study.

What do we watch out for in automation?

What don't we automate?

Processes with more exceptions than rules, decisions that need human judgement without a human involved, and processes nobody can describe step by step. Then we automate parts and leave the decision to a person (human in the loop).

How do we protect automations from silent failure?

The worst automation is one that does the wrong thing for weeks without anyone noticing. Every workflow has monitoring, error handling and alerts, and data that can't be processed goes to a queue for manual review.

API integration or RPA?

An API connects systems directly and lasts longest. RPA, robots clicking through the interface, works but breaks with every screen change. We only use RPA when a system has no API.

How do we work?

  1. We map the process

    We list the steps, systems and exceptions. If the process is unstable, we sort it out first.

  2. We build one case

    We automate one process end to end instead of all of them at once.

  3. We test on real data

    The workflow runs on real data, with monitoring and error handling from day one.

  4. We scale

    Only when the first process runs reliably do we extend automation to the next ones.

Cloud or your own infrastructure?

It depends on data sensitivity, cost and who will maintain it. We cover the criteria in self-hosting vs cloud.

FAQ

It depends on the number of systems and the complexity of the rules. A simple integration is a small project, a large workflow across many systems is a bigger one. We estimate after analysing the process.

Usually not. Automation connects what you already have.

Automation connects existing tools, an application replaces them with a new solution. Sometimes you need both. More on custom applications.

No. Most automation is clear rules: when a lead comes in from a form, save it in the CRM and notify the owner. AI only helps where content has to be understood, such as a message or a document, and even then a person should make the call when the result is uncertain. Where AI really helps businesses and where it's just hype is covered in how AI is transforming the IT industry.

Monitoring catches the error before a user does. Such fixes are covered by the maintenance package we offer together with the implementation contract, so before launch you know what maintaining the automation will cost.

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