Start with the workflow, then decide where AI belongs
We start from how your team works today, find the steps that are repetitive, slow or error-prone, and automate the most worthwhile one first.
Data / Intelligence
Ad platforms, website forms and first-party data live in different places, reports depend on manual exports, and AI has nothing dependable to work from. We connect and organize the data, then bring AI into the workflows your team already uses every day.
Let’s talk about your projectThere is usually plenty of data. It is just scattered across Google Ads, Meta Ads, GA4 and a handful of forms, each with its own fields and refresh times, and one report means half a day of exports and copy-paste. When the data cannot be trusted, neither can the answers AI gives. We make the data dependable first, so the numbers are already there when you open your laptop each day.
We start from how your team works today, find the steps that are repetitive, slow or error-prone, and automate the most worthwhile one first.
Google Ads, Meta Ads, GA4 and first-party leads land in BigQuery with their sources preserved, then are aligned into shared fields you can analyze together.
Cloud scheduling splits extraction, transformation and loading into distinct steps. Expired permissions, quota limits and schema changes each raise their own signal, and reruns never create duplicates.
Website forms and Lead Ads feed a single data model, then hand off to a permissioned console and notifications, so every record can be traced back to its source.
We spend 30 minutes listening to the current situation, then clarify the problem, timing, and most useful next step together.
You get the scope, deliverables, schedule and price in writing, with no vague line items that leave room for later add-ons.
Every week we share progress you can check, along with any risks, so you always know where the project stands.
The code, documentation, deployment access, and operating knowledge are yours, with clear conditions for taking over.