Your Partner inArtificial Intelligence

Inapal Metal, a Portuguese automotive manufacturer with 250+ employees, relied on manual ERP entry for all invoices, causing:
- processing delays,
- frequent errors
- substantial operational overhead.

We deployed an AI-driven workflow that extracts, validates and records invoices automatically:

The automation delivered measurable value from day one. Inapal Metal achieved a 183% ROI with a 6-month payback period, recovering over 1,020 hours previously spent on manual data entry. The team eliminated processing bottlenecks, drastically reduced human error, and freed up staff to focus on higher-value tasks, turning invoice management from a cost center into a competitive advantage.

A leading transport operator was struggling to handle high volumes of repetitive customer requests, leading to:
- long wait times
- inconsistent answers
- high customer support costs, especially during service disruptions.

We built an AI chat and voice agent that automates first-line customer assistance across channels:

The AI-powered solution transformed customer support operations from day one. The transport operator achieved a 257% ROI with a 5-month payback period, while reducing customer support costs by 30% year-over-year. Wait times dropped dramatically, answer consistency improved across all channels, and the support team was freed to focus on complex cases that truly require human expertise, turning customer service from a cost burden into a competitive differentiator.

Trust Saúde, a specialized healthcare operator, was processing hundreds of inbound operational messages per day, such as case comments from clinics and insured clients, making manual classification: slow, inconsistent and costly.

We deployed an AI tagging engine that reads, classifies and routes every message in real time:

The intelligent automation revolutionized operational efficiency from the first week. Trust Saúde achieved a 424% ROI with a 5-month payback period, with 60% of emails now closed automatically. The system saved 1,140 hours yearly (equivalent to 0.5 FTE), eliminating classification bottlenecks and routing delays. The operations team shifted from manual triage to strategic work, transforming message handling from an administrative burden into a streamlined, data-driven process.

Vieira de Castro, a leading food production company with over 250 workers, struggled to forecast and sell its full production, leading to significant waste and inefficiencies.

We rebuilt their entire forecasting and production planning with AI:

The AI-powered forecasting system transformed production planning from reactive to predictive. Vieira de Castro gained significant improvements in forecast accuracy, eliminating the chaos of disconnected spreadsheets. Real-time confidence tracking enabled proactive decision-making, while integrated S&OP and OSE planning streamlined operations across departments. The planning team shifted from manual data consolidation to strategic analysis, turning forecasting from a compliance burden into a competitive advantage that drives better inventory management and reduces waste.