Services

Four things, one property in common.

Most software works on the day it is delivered. Then a source changes its markup, a token expires, a job stops firing — and the failure is quiet. Everything below is built so that it is not.

01 AI assistants

Assistants wired into real systems.

Customer-facing or internal, connected to the database, the CRM and the APIs that actually hold your data — with the boundaries of what it may read, say and do written down and covered by tests.

02 Automation

Work that repeats, done by the machine.

The operational tasks somebody currently does by hand every morning: triggered on a schedule or an event, retried when the failure is transient, and stopped loudly when it is not.

03 Reporting

Dashboards and scheduled reports.

Numbers assembled once, correctly, and delivered on a schedule — with the freshness of the underlying data shown next to them.

04 Data collection · evidence below

Pipelines that survive the source changing.

Scheduled collection from sites and APIs, merged into a database you can query. Rows are counted before and after every merge and the merge is rejected if any went missing or duplicated — silent data loss is the failure nobody notices, so it is the one that gets checked for.