SOLUCIÓN ESPECIALIZADA

Applied AI

Stop operating in reactive and slow mode. AI can do in hours what your team takes weeks

⚠️

Your team wastes 30%+ of their time on manual tasks that AI could automate

DIAGNÓSTICO

The Problem

Why do companies pay people to do what machines do better?

Teams waste hours on manual, repetitive tasks that AI could do in minutes

Reading and classifying 100+ daily documents, extracting data from invoices/emails, answering repetitive customer questions, manual data entry into systems.

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Operating reactively and slowly vs. proactively and predictively

Discover customer will churn when they already canceled. Realize demand will spike when inventory is depleted. Identify high-risk client when payment is already late.

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They know AI exists but don't know where to start or how to apply it to their business

Hear about ChatGPT, Machine Learning, automation but don't know which processes to automate, which vendors to trust, or how to calculate ROI.

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Critical data trapped in unstructured documents (PDFs, emails, scans)

Contracts, invoices, technical reports, customer emails with valuable information that no one can analyze at scale. Decisions made blind because extracting that data manually is unfeasible.

NUESTRA PROPUESTA

The Solution: Applied AI That Delivers Real ROI

Not AI for hype, but AI that saves hours and money

We implement custom AI solutions for your repetitive/manual processes: intelligent documents, chatbots, predictions, process automation. Typical ROI: 200-400% in first year.

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Intelligent Document Processing: From 8 Hours to 15 Minutes

AI that reads, classifies and extracts data from invoices, contracts, purchase orders, ID cards, bank statements. Accuracy 95%+, 97% time reduction.

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AI Customer Service Assistants (24/7, Zero Wait)

Chatbots that answer FAQs, track orders, solve simple problems, escalate complex cases to humans. Immediate response, 70%+ first-contact resolution.

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Demand & Sales Forecasting (Stop Guessing)

Predictive models that anticipate sales for next 30-90 days based on historical data, seasonality, trends, external events. Optimize inventory and production.

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Customer Churn Prediction (Retain BEFORE They Leave)

Models that identify customers with high churn probability in next 30-90 days. Proactive actions: special offers, personalized follow-up, satisfaction surveys.

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Automated Content Generation (Marketing, Reports, Emails)

AI that writes: product descriptions, marketing emails, social media posts, executive summaries of long reports. 80% time reduction in content creation.

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Intelligent Search in Large Document Volumes

Ask in natural language ('Show me all contracts with Clause X') and AI searches thousands of documents in seconds. Find needles in haystacks without reading everything.

Process Automation (RPA + AI)

Bots that perform repetitive tasks: data entry, email sending, report generation, system updating. Combine RPA (rules) with AI (intelligence) for complex workflows.

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Custom AI for Your Specific Process

We don't sell generic AI. We train models on YOUR data for YOUR specific problems: fraud detection, price optimization, quality classification, personalized recommendations.

METODOLOGÍA

How It Works

From manual process to intelligent automation

1
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Process Discovery (2-4 hours)

We map which repetitive/manual processes consume most team time. We prioritize based on ROI: where can we save 10+ hours/week with AI? Quick wins vs. structural projects.

2
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Proof of Concept (2-4 weeks)

We build functional prototype with your real data. Example: AI that classifies 100 invoices. You see results BEFORE large investment. Validate accuracy and ROI.

3
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Production Implementation (4-12 weeks)

We scale PoC to production. Integrate with your systems (APIs, databases). Train team. Setup monitoring. Document processes.

4
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Continuous Monitoring and Improvement

AI improves with use. We monitor accuracy, adjust models based on new data, add features, scale as business grows.

SUCCESS STORY

Insurance Company: From Manual Invoice Processing to AI Automation

92%
Time reduction (from 40 hrs to 3 hrs/week)
96%
AI model accuracy (better than manual review)
$180K
Annual savings in operational costs

The Challenge

Mid-size insurance company processing 800+ medical invoices/week manually. Team of 3 people spending 40 hours/week reading PDFs, extracting data (patient, amounts, procedures, providers), entering into system. Errors: 12-15% (duplication, incorrect amounts). Processing time: 5-7 days.

The Solution

We implemented AI system with Azure Document Intelligence + custom classification model. AI reads PDFs, extracts structured data, validates against business rules, integrates with ERP via API. Human review only for 5% of cases flagged by AI.

Results in 8 Months

  • ✅ Processing time: 40 hrs/week → 3 hrs/week (92% reduction)
  • ✅ AI accuracy: 96% (better than manual 85-88%)
  • ✅ Processing time: 5-7 days → 4-8 hours (same-day processing)
  • ✅ Team of 3 freed up for strategic tasks (fraud detection, claim analysis)
  • ✅ Annual savings: $180K (time + fewer errors + faster processing)
  • ✅ ROI: 340% in first year
FAQ

Frequently Asked Questions

We answer your doubts about Applied AI

Automation (RPA): Bots that follow fixed rules ('if X then Y'). Machine Learning: Models that learn from data to predict/classify. AI (Applied): Combination of both for complex processes. We use what your problem needs.

Depends on use case. Document processing: Needs 50-200 examples to train. Predictions: Minimum 6-12 months of historical data. Customer service: Can start with pre-trained models (ChatGPT, GPT-4). We assess in discovery.

Depends on quality/quantity of data. Typical: 90-98% accuracy. For critical processes, we implement human review: AI does first pass (saves 95% time), human validates. Accuracy improves with use.

PoC (2-4 weeks): $8,000-$15,000 to validate. Production: $25,000-$80,000 depending on complexity. You DON'T need internal data scientists—we do everything. Post-deployment requires minimal maintenance.

Quick wins (document automation, chatbots): 2-4 months. Predictive models (demand, churn): 6-12 months. Typical ROI: 200-400% in first year from time savings + better decisions.

AI doesn't replace people, it frees them from repetitive tasks. Example: Analyst who spent 20 hours/week reading invoices now focuses on analysis/decisions. Team becomes more strategic, less operational.

Depends on use case. Document processing: Azure Document Intelligence, AWS Textract. Chatbots: OpenAI GPT-4, Azure AI, custom models. Predictions: Python (scikit-learn, TensorFlow), Azure ML, AWS SageMaker. We choose based on your needs/budget.

Ready to free your team from repetitive tasks?

Let's identify together which process AI could automate to save you 10+ hours per week.

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