We integrate Artificial Intelligence with the systems your company already uses
No replacements. No database migrations. We leverage the ERP, CRM, accounting, POS, inventory, payroll or custom software you already have in production and add modern AI capabilities on top. Applies to any industry.
AI is no longer a future promise: it is the difference between a company that automates and one that falls behind. At Soluciones Aplicativas we help companies in Central America and Latin America connect AI models with their existing systems, generating real savings, better customer service and data-driven decisions.
We work with frontier technologies (LLMs such as GPT, Claude, Gemini and Llama; computer vision; advanced OCR; speech; prediction and intelligent RPA) and integrate them on top of your existing infrastructure via APIs, webhooks, connectors and middleware.
24/7 customer service
AI-powered chatbots and voice agents connected to your CRM and database, capable of answering, scheduling, quoting and escalating to humans only when needed.
Document processing
Automatic extraction from invoices, contracts, receipts, IDs and forms with OCR + LLM. Data flows directly into your accounting or ERP.
Predictive analytics
Forecasting of sales, demand, inventory turnover, customer churn and credit risk based on the historical data already in your systems.
Intelligent internal search
Assistant that answers natural-language questions about your manuals, procedures, policies, files and corporate documentation (RAG).
Process automation
Intelligent RPA that combines AI with your workflows: approvals, reconciliations, report sending, support tickets, accounting reclassification.
Fraud and anomaly detection
Models that monitor transactions, user behavior and logs in real time, flagging what a human eye cannot see at that scale.
Personalization & recommendations
Recommendation engine for online store, mobile app or catalogs, based on each customer's purchase history and behavior.
Call & voice analytics
Automatic transcription, sentiment analysis, quality scoring and executive summary of sales, support and collections calls.
Report generation
Executive reports in plain English from your ERP, BI and CRM data. Management understands the numbers without waiting for an analyst.
Computer vision
Inventory counting from photos, production quality control, license plate reading, person identification and security monitoring.
Email classification
Automatic triage of support, sales or complaints inboxes: categorizes, prioritizes and routes each email to the right team.
Translation & multilingual
Service and operations in multiple languages without hiring teams for each one. Ideal for call centers, international trade and tourism.
AI is not a vertical service: it is transversal. We have identified concrete opportunities in each of these sectors:
1. Assessment (1-2 weeks)
We map your current systems, identify the processes with the highest automation potential, calculate estimated ROI and prioritize use cases. We deliver an executive report and roadmap.
2. Pilot (4-8 weeks)
We build a working pilot for a high-impact, low-risk use case. We connect it to a subset of your real data and measure results against a baseline. If it does not convince, it does not scale.
3. Production integration
We connect the model to your production systems via APIs, webhooks, message brokers (Kafka, RabbitMQ) or native ERP/CRM connectors. Deployment in your cloud (AWS, Azure, GCP) or on-premise.
4. Training and change management
We train your teams to use and supervise the AI. End-user adoption is the most underestimated factor in AI projects, so we work it explicitly.
5. Monitoring and continuous improvement
Observability of prompts, latency, cost, accuracy and model drift. We refine prompts and retrain models periodically so quality does not degrade.
- Language models (LLMs): OpenAI GPT, Anthropic Claude, Google Gemini, Meta Llama, Mistral, DeepSeek, self-hosted open-source models.
- AI frameworks: LangChain, LlamaIndex, Haystack, Semantic Kernel, AutoGen.
- Vector databases: Pinecone, Weaviate, Qdrant, pgvector, ChromaDB, Milvus.
- Classical Machine Learning: scikit-learn, XGBoost, TensorFlow, PyTorch.
- Computer vision: YOLO, OpenCV, multimodal models (GPT-4V, Claude Vision).
- Voice and audio: Whisper, ElevenLabs, Azure Speech, Google Speech.
- RPA and automation: n8n, Make, Zapier, UiPath, Power Automate.
- Cloud platforms: AWS Bedrock, Azure OpenAI, Google Vertex AI, hybrid deployments.
We know your biggest concern when integrating AI is data confidentiality. That is why we apply controls by design:
- Encryption in transit (TLS 1.3) and at rest (AES-256).
- Option for 100% on-premise or private-cloud deployment, so information never leaves your perimeter.
- Self-hosted open-source models when regulation requires it (banking, healthcare, government).
- Anonymization and PII masking before sending prompts to external models.
- Full auditing of prompts, responses and access, with configurable retention.
- Compliance with GDPR, ISO 27001, PCI-DSS, HIPAA depending on your sector.
- Guardrails against prompt injection, jailbreaks and off-topic answers.
- 15+ years in El Salvador developing software for private companies and government agencies: we know operational realities, not just theory.
- Full-stack team: we integrate AI, but we also build the surrounding systems (frontend, backend, mobile, DB, DevOps).
- Pragmatic approach: we don't sell hype. Every case goes through ROI analysis before committing.
- Local support: in-person meetings in San Salvador, support in Spanish and English, same time zone as the U.S.
- Regional expert alliances in banking, retail, hospitality, restaurants and government.
Ready to start?
Let's schedule a free 30-minute assessment. We will show you cases similar to yours and deliver a concrete proposal with no commitment.
Request assessmentDo I need to replace my current systems?
No. Our approach is to integrate on top of existing infrastructure via APIs, connectors and middleware. This reduces cost, risk and adoption time.
How much does AI integration cost?
Depends on the use case, data volume and integration complexity. A typical pilot runs USD $8K-$25K; full multi-case integrations vary between USD $30K-$150K. We provide a fixed quote after the assessment.
How long does a project take?
Assessment: 1-2 weeks. Pilot: 4-8 weeks. Full production integration: 3-6 months. Continuous improvement: ongoing.
Does my data stay on OpenAI / Google / Anthropic servers?
Only if you authorize it. We have options for running open-source models in your own cloud or on-premise servers. When commercial APIs are used, we configure "zero data retention" modes when the provider allows it.
Does it work if my company is small?
Yes. There are high-impact, low-cost use cases suitable for SMBs (WhatsApp chatbot, invoice OCR, quote automation). We adapt the scope to the size.
What if the model fails or returns an incorrect answer?
We always design with "human in the loop" for critical processes: AI proposes, a person approves before acting. For low-risk cases, we add guardrails and automatic validations.
