AI & SaaS development for agencies and founders

AI & SaaS development for agencies and founders

Case Studies

Efficiency Impact Scalability Results Process Data

Real work, not pitch-deck AI. These case studies show how we turn ideas, workflows and bottlenecks into deployed systems: SaaS platforms, local AI stacks, AI Smart automations, publishing engines, campaign monitoring and operational integrations.

Built systems, measured outcomes, practical proof.

AI Consumer App
Food Planning & Retail Intelligence
Makro AI Food Copilot case study Read More

Makro AI Food Copilot — How Price-Aware Meal Planning Helps People Eat Better for Less

Challenge: Users want affordable, healthy and enjoyable meals, but grocery prices, bulk quantities, nutrition targets and taste preferences are hard to coordinate manually.

Solution: We designed an AI food copilot that monitors Makro product prices, user budgets, dietary preferences, calories, minerals, vitamins, cuisine types and cooking difficulty to build smarter meal plans and shopping lists.

Result: The product helps users buy larger quantities at lower unit prices without wasting food, while keeping meals nutritious, realistic and aligned with their preferred taste.

AI & Marketing Analytics
Campaign Intelligence Product
AI Ads Pulse case study Read More

AI Ads Pulse — Turning Campaign Noise Into Weekly Optimisation Decisions

Challenge: Marketers and founders lose time reconciling Google Ads, GA4, Search Console, Meta Pixel, landing page and CRM signals before they can decide what to change.

Solution: We built AI Ads Pulse as an AI campaign assistant that connects performance signals, detects weak spots and keeps optimisation history in one operating layer.

Result: Campaign teams get clearer priorities: budget allocation, targeting updates, creative refreshes, landing page gaps and performance summaries without rebuilding the analysis every week.

Project Implementation
SaaS Platform Delivery
Multi-tenant SaaS platform case study Read More

How We Built a Multi-Tenant SaaS Platform in 6 Weeks Instead of 6 Months — Saving $415K

Challenge: Building a secure, scalable multi-tenant SaaS from scratch is expensive, slow, and complex for small teams.

Solution: Production-ready multi-tenant boilerplate with dynamic extensions and integrations that launches SaaS products in weeks.

Results: Teams reduce development costs by over $400,000 in the first year and accelerate time-to-market by up to 70%.

Client: AI Smart

Process & Automation
AI Workflow Deployment
Local AI models case study Read More

From $318K to $162K: Local AI Models That Pay for Themselves in 2 Months

Challenge: High personnel costs from a four-person team were limiting profitability and agility due to time spent on repetitive tasks.

Solution: We implemented a local AI platform using Ollama and FastAPI to automate code generation, content creation, and design workflows.

Results: Reduced annual operational costs by 49% from $318K to $162K, achieving ROI in just 2 months while maintaining output quality.

AI & Automation
Social Media Automation
Social media automation case study Read More

From €33,000/yr in Agency & Staff Costs to Review-Ready Social Media Automation

Challenge: Managing consistent multi-channel social media content required either dedicated staff or an agency — both costly in the Finnish market.

Solution: We activated the Social Media Automation module within AI Smart, preparing review-ready post, image, and video drafts with trend research support and approval workflow controls.

Results: Reduced agency and freelancer dependency through review-ready production workflows. Content production time reduced by ~85%. Modelled annual savings exceed €33,000 — with AI Smart plans starting at $20/month.

Client: Sydämen Noste, Finland

E-Commerce & Integration
Multi-Location Inventory Sync
Routine Expert inventory sync case study Read More

Real-Time Inventory Sync Across 3 Locations — How Routine Expert Eliminated Manual Stock Management

Challenge: Inventory, orders, pricing, and multi-currency data had to be manually reconciled across Zurich, Warsaw Store, and Warsaw Production — unsustainable as the business scaled.

Solution: Full WooCommerce ↔ BaseLinker integration with monitored stock sync, order routing rules, and a multi-currency pricing engine covering CHF, PLN, and EUR.

Results: Manual stock reconciliation reduced sharply. Annual operational overhead modelled down by ~95% — from €45,900 to ~€2,400 — with exception handling and oversight still required.

Client: Routine Expert

AI & Analytics
Google Ads Intelligence via MCP
Google Ads MCP case study Read More

Real-Time Google Ads Intelligence via MCP — How an Interior Design Studio Stopped Flying Blind on Ad Spend

Challenge: Google Ads and GA4 data lived in separate silos with limited day-to-day visibility — underperforming campaigns could burn budget for days before being caught.

Solution: Custom MCP (Model Context Protocol) integration connecting Google Ads API and Google Analytics 4, delivering live campaign monitoring, anomaly detection, and AI-assisted optimisation recommendations from a single interface.

Results: Manual reporting overhead modelled down by ~93%. Underperforming ads flagged same-day instead of weekly. Wasted spend from delayed detection reduced through earlier review signals.

Client: Karolina Sorotiuk — Interior Architecture, Warsaw

AI Content Generation
eBook Production at Scale
AI eBooks generator case study Read More

Review-Ready eBook Drafts in Minutes — How Business Incubators Scaled Content Production with AI Books Generator

Challenge: Producing professional eBooks — guides, playbooks, founder handbooks — required writers, designers, and weeks of work per title, making large-scale content production economically unviable.

Solution: AI Books Generator: a platform that produces a structured, review-ready PDF draft — including research, writing, layout, and cover direction — from a single prompt.

Results: Cost per eBook modelled down from €1,450–€2,800 to a fraction of traditional production once review rules are in place. Production time shifts from weeks to minutes for the first draft.

Client: Business incubators and accelerators

Tool: AI Books

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