Invoice processing
Manual input and constant errors in AP
OCR + LLM + ERP API
- ↓Processing time -80%
- ↓Cost per invoice -60%
Five verticals. Concrete automation for each one.
Manual input and constant errors in AP
OCR + LLM + ERP API
Manual matching of bank transactions
Bank ingestion + matching + LLM for ambiguous entries
Manual and inconsistent follow-ups
Delay triggers + automated emails + LLM personalisation
Manual, inconsistent decisions on journal entries
LLM classifies based on historical patterns
Manual Excel reporting, always delayed
ERP extraction + auto generation + LLM for insights
Manual reading of hundreds of applications
Parsing + LLM scoring
Manual processes, forgotten access, lost documents
Workflows + access provisioning + document delivery
Emails + Excel + approvals in a queue
Requests + approval + automatic system recording
HR overloaded with repetitive questions
Chatbot + LLM + internal knowledge base
Subjective and inconsistent evaluations
Feedback collection + LLM summaries and insights
Leads not prioritised, sales chasing the wrong ones
LLM scoring + automatic enrichment
Leads forgotten after first contact
Behaviour triggers + personalised LLM emails
Outdated CRM, missing data everywhere
Real-time sync of emails, calls and meetings
Proposals take hours, built from scratch each time
Templates + LLM + CRM data
No insight into what works in calls
Transcription + LLM (sentiment, objections, next steps)
Content production is too slow to scale
LLM generates posts, emails and articles from brief
Generic campaigns sent to the entire base
Behavioural clustering + LLM personalisation
Manual execution, dependent on one person
Behaviour triggers + multi-channel workflows
Feedback scattered, always reacting late
Scraping + LLM sentiment analysis
Content created once, never reused
LLM transforms blog → LinkedIn posts → email → thread
Errors in manual order processing
ERP integration + automatic validation + alerts
Customers without information → support tickets
Status triggers + WhatsApp/email notifications
Delays not detected, always reacting too late
Automatic detection + alerts + pre-defined response
Stockouts or excess inventory — always guessing
Historical data + predictive models + LLM insights
Growing ticket volume without growing the team
Chatbot + LLM + backend system integration
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