Automation
Connect your tools into a coherent process. Improve the flow of data, documents and orders. Use AI where it adds value.
Explore service ↗After a full day, the report still needs writing. Notes are fragmented and managers spend time rewriting them.
Type or dictate a note. AI turns it into a structured report for you to review and edit.
Understanding the day means checking tasks, reports and issues in several places.
AI summarizes selected records: completed work, reported issues and matters needing attention.
Employees ask the same questions. Instructions exist, but the relevant section is hard to find.
A question in your own words leads to a relevant help article and practical steps.
People describe problems differently. Every issue needs reading before it can be prioritized.
AI suggests a category and priority from the description. A person reviews the suggestion.
A message gets lost in a chat. Ownership is unclear and you have to chase a response.
The system routes issues through defined responsibilities and escalates unanswered cases after an agreed interval.
You download invoices and copy their data into another system. Repeated imports create confusion.
The integration retrieves invoice data from KSeF and checks whether a document has already been saved.
Invoice numbers, dates, amounts and tax IDs are typed by hand. Typos mean more corrections.
OCR reads the text and rules extract basic fields. The result remains subject to review.
The plan lives in one application and tasks are retyped into another. Dates and names drift apart.
Import an XML export from MS Project or Primavera P6, review the data and publish team tasks.
You check a dashboard just in case. Empty notifications compete with important information.
A digest arrives by email or notification. With no matters to review, the system sends no empty message.
You open the same portals each day and copy listings into a spreadsheet.
Monitoring gathers listings and organizes the data in one spreadsheet for assessment.
Enquiries stay in an inbox, details are copied manually and the source gets lost.
A form sends contact details and the enquiry source to your CRM for follow-up.
Every post starts from scratch. Time is limited and the offer needs explaining again.
An assistant uses company knowledge to draft content for you to review before publication.
Selected own projects and solutions in development. Scope and integration requirements are agreed individually. These examples do not imply measured savings or deployments with clients.
Move information between tools instead of copying it manually.
Prepare drafts from your templates and data, ready for review.
Find answers in company materials, within agreed access permissions.
Illustrative use cases. The scope depends on your tools and data.
Connect your tools into a coherent process. Improve the flow of data, documents and orders. Use AI where it adds value.
Explore service ↗From information to action. Assistants analyze materials, prepare outputs and carry out defined tasks with oversight of key decisions.
Explore service ↗Data security begins with the design of the process. We discuss data flows, permissions and key decision points before implementation.
Read about the approach ↗Define which actions require approval and how exceptions should be handled.
Local, cloud or hybrid deployment, selected for the data and project requirements.
Permissions and data scope follow the task the solution needs to perform.
I run ONI. I bring a business perspective to technology: first understanding the task, then selecting tools. I work on automation, integrations and AI agents for companies.
How I work ↗No. Many repetitive operations can be handled with integrations and rules. AI is useful where unstructured information needs analysis or content needs drafting.
Pricing depends on the process, integrations, data and requirements. Implementation, tools and maintenance costs are discussed separately.
Local deployment is assessed for each project. Integrations, infrastructure and quality requirements also matter.