Poggers OyAI-assisted delivery across every service
We use either Anthropic or OpenAI models across all services to support design, implementation, testing, review, and documentation. The model and the handling of client materials are agreed according to the project. A senior developer reviews the outputs, makes the technical decisions, and remains accountable for the result.
A lot of companies run some important process by hand, even though it would take a fraction of the time if it were automated once and left to run. We build integrations between systems, and internal tools or bots that take over repetitive, rule-based work on someone’s behalf.
We don’t reach for automation because it’s trendy — we reach for it because someone gets the time it used to take back for something better, and the resulting system stays understandable even after we’re no longer the ones maintaining it.
What can be automated?
- moving data between two systems or APIs
- generating a report, proposal or document from recurring data
- notifications and approval flows in email, chat or an internal tool
- scheduled monitoring, data enrichment and exception handling
- a small admin interface for a process currently run in a spreadsheet
- AI-assisted classification, summarisation or copy generation for a bounded task
We first map the current process: where the data comes from, who does what, where errors occur and which exceptions need to be handled. Only then do we choose the technical solution.
When is automation worth it?
A good candidate repeats frequently, follows mostly identifiable rules and consumes employee time without requiring human judgement at every step. Even a small automation may pay off when it saves a few hours every week in a process that is business-critical or prone to errors.
Controlled delivery and failure modes
Automation should not become an invisible black box. We agree how events are logged, how failures are reported, who has access and how the work can be completed manually when needed. When AI is involved, we also define what data may be sent to the model and where a human verifies the result.