Systems we have built
These are real systems built for real operational problems. We describe what each one does and how it works. We do not publish client names, revenue figures or performance statistics we cannot verify.
AI Customer Support System
OpenAI, LangChain, vector retrieval, webhook integrations
The problem
A business faced growing support volume with most enquiries repeating the same questions. Answering everything manually was slow and pulled staff away from higher-value work.
What was automated
Incoming enquiries are classified by intent and urgency, answers are retrieved from a structured knowledge base, routine questions are resolved automatically, and complex cases are escalated to the team with full conversation context.
What it accomplishes
Customers get immediate answers to common questions around the clock, and the support team handles only the cases that genuinely need a person.
SEO Automation
Python, SerpAPI, Apify, OpenAI for analysis summaries
The problem
SEO audits and content checks were manual, checklist-driven and easy to postpone, so issues went unnoticed for months.
What was automated
Scheduled crawls and audits that check technical issues, content gaps and on-page factors, with findings organized into prioritized reports.
What it accomplishes
SEO health is monitored continuously instead of reviewed occasionally, and issues surface with clear next steps.
CRO Analyzer
Playwright, OpenAI, Python
The problem
Reviewing landing pages for conversion issues required manual, page-by-page analysis that did not scale across many pages.
What was automated
Automated page analysis that evaluates structure, messaging clarity, calls to action and common friction points, producing structured findings per page.
What it accomplishes
Every page gets a consistent, structured conversion review without the manual effort, making it practical to audit at scale.
YouTube Content Automation
OpenAI, Google Gemini, Python, API integrations
The problem
Running a content pipeline meant repeating the same research, scripting and production steps for every video, which limited output.
What was automated
Research gathering, topic analysis and structured scripting workflows that prepare production-ready material, with human review before anything is published.
What it accomplishes
The repetitive parts of content production run as a system, so more time goes into creative decisions and less into assembly.
Ecommerce Product Intelligence
Python, BeautifulSoup, pandas, Playwright
The problem
Ecommerce research meant manually checking product listings, prices and trends across many pages, which was slow and quickly outdated.
What was automated
Automated collection of product data from ecommerce sources, with cleaning, structuring and analysis pipelines that keep the dataset current.
What it accomplishes
Product research runs continuously on fresh data instead of depending on manual checks, supporting faster, better-informed decisions.
Your system could be next.
Tell us about the manual work slowing your business down. We will show you what automation can do about it.
Request Automation Audit