AI automations built to take manual work out of your workflows.
AI that reads emails and opens tickets, generates proposals from Slack briefs, writes 5,000 product descriptions while keeping brand voice, and translates into 12 languages with semantic validation. Live in 2-4 weeks.
Email/form comes in → AI classifies (intent, urgency, vertical, fit score) → lands in CRM with owner, score, next step. Cuts first-response SLA from hours to seconds.
Intent + score classification
Automatic CRM routing
Slack/Teams notifications
Real-time SLA tracking
A/B testing on routing
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Content Generation at Scale
5,000+ product descriptions with consistent brand voice. Multilingual (12 languages). Automatic semantic validation. Re-generation on catalog diff.
Brand voice tuning
Multilingual (12 languages)
Semantic validation
Diff-based regeneration
Shopify/CSV/Akeneo export
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Document Intelligence (OCR + AI)
Invoices, contracts, resumes, purchase orders turned into structured data. Multilingual OCR + semantic extraction + business rule validation. ERP integration.
Multilingual OCR (Tesseract/AWS)
LLM field extraction
Business rule validation
ERP/SAP/accounting integration
Human-in-loop on edge cases
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Competitive Monitoring
Scrape competitors (pricing, features, content, ad creative) + weekly analysis + executive report. Real-time alerts on critical changes.
Robust scraping (Playwright)
Automatic weekly diff
Alerts on price/feature change
Executive PDF/Slack report
ToS-compliant
0%
automation rate
average process
rest = exception handling
0 mo
average payback
implementation
ROI calculated pre-sales
0 languages
translation with
semantic validation
RO/EN/HU/DE/FR/IT+
0/7
workflows run
unattended
monitoring + alerting
Case Study · eCommerce 12,000 SKU
eCom 12K SKU: product descriptions in 6 languages in 9 days
eCommerce9 days
72.000
descriptions generated · 12K SKU × 6 languages · semantic validation included
B2B fashion distributor with 12,000 SKUs, expanding into 5 new countries (HU/DE/FR/IT/PL). Manually this would have taken 8-10 months with a copywriting team. AI pipeline: GPT-4o for description generation + GPT-4o-mini for translation + Cohere semantic validator → output to Akeneo PIM.
Launched in 5 new countries 32 days ahead of schedule. AI cost 8,400 EUR vs. an estimated 180,000 EUR for copywriting. Diff-based regeneration on the catalog runs weekly.
FAQ
Questions about AI Automation
Classic RPA (UiPath/Automation Anywhere) executes fixed rules on interfaces (click, copy-paste). AI automation adds reasoning: it classifies intent, extracts information from text/email/PDFs, decides the next step based on context, and writes content. We combine the two whenever it makes sense.
Depends on complexity. Under 20 steps with standard integrations: n8n (open-source, self-hosted, full control). Complex workflows with persistent state: custom Node.js/Python + Postgres + queue (BullMQ). Make/Zapier only for quick prototypes or clients who want self-service.
Self-hosted n8n hosting on a VPS: 30-80 EUR/month. LLM cost (depends on volume): 100-1,500 EUR/month for a medium workload. Observability + alerting: 50-150 EUR/month. Total operating cost: 200-1,800 EUR/month for an average automation with 10K-100K executions.
Three layers of protection: 1) confidence threshold; below it, the item goes to a human queue; 2) business-rule validation before writing to CRM/ERP (sanity checks); 3) full audit log + reversal (transactional). For critical workflows: human-in-the-loop is mandatory on edge cases.
Yes. We combine OCR (Tesseract / AWS Textract / Azure Document Intelligence) with an LLM for semantic extraction. Average accuracy 96-99% on standard fields (VAT ID, amount, dates), 88-94% on complex line items. Human review kicks in below threshold.
Measurable pilot: 2-4 weeks (3-day discovery + 2-day scoping + 8-15 day build + 3-5 day testing). Scaling and optimization: after 30 days with a validated pilot, we move into a weekly iterative mode to extend automation to other processes.
Everything running day-to-day operates in your infrastructure or our dedicated RO/EU infrastructure. LLM calls go to providers with a DPA (zero training on your data): Azure OpenAI, Anthropic via Bedrock EU, Vertex EU. Audit log + retention policies are configurable per workflow.
60-minute process audit · free
Which processes are consuming the most time in your team right now?
A 60-minute discovery session with your operations team. We identify the top 5 candidate processes for automation with calculated ROI. Output: priority matrix + 2-4 week pilot plan.
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Mapping existing processes
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ROI calculated per process
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Top 5 candidates prioritized
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2-4 week pilot plan included
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