AI 01AI Capability
AI Agents & Task Automation
Agents that can interpret requests, use tools, retrieve context, take defined actions, and hand off to people when needed.
AgentsTool useHuman approval
AI Solutions
Applied AI built into real products and workflows.
Criollo Tech helps companies add AI where it can create measurable operational value — connected to business data, software, APIs, approvals, and existing systems rather than isolated demos.
The right AI architecture depends on the workflow, data sensitivity, required reliability, latency, cost, and level of human oversight. We design around those constraints.
AI 02AI Capability
Internal Copilots & Assistants
Role-specific assistants for operations, support, sales, finance, HR, engineering, and knowledge-heavy teams.
CopilotsInternal assistantsProductivity
AI 03AI Capability
RAG & Enterprise Knowledge Systems
Ground AI responses in approved documents, databases, policies, tickets, product content, or private knowledge.
RAGSemantic searchKnowledge retrieval
AI 04AI Capability
Document Intelligence
Extract, classify, summarize, validate, compare, and route information from contracts, forms, invoices, reports, and business documents.
ExtractionClassificationSummarization
AI 05AI Capability
Intelligent Workflow Automation
Combine AI with deterministic rules, APIs, queues, approvals, and business systems to automate operational processes safely.
AutomationRulesOrchestration
AI 06AI Capability
AI Customer Support
AI-assisted support, triage, knowledge retrieval, suggested responses, self-service, ticket classification and escalation.
Support AITriageSelf-service
AI 07AI Capability
Sales & Lead Intelligence
Lead qualification, enrichment, routing, conversation summaries, follow-up assistance, scoring, and sales workflow automation.
Lead scoringRoutingSales assist
AI 08AI Capability
Voice AI & Conversation Intelligence
Transcription, summarization, call categorization, QA signals, searchable conversations, and voice-enabled workflows.
SpeechTranscriptionCall QA
AI 09AI Capability
AI Analytics & Natural-Language BI
Ask questions of governed business data, summarize trends, surface patterns, and assist with operational reporting.
AnalyticsNLQInsight generation
AI 10AI Capability
Forecasting & Predictive Models
Forecast demand, workload, capacity, trends, or other measurable business outcomes when data quality supports it.
ForecastingPredictionPlanning
AI 11AI Capability
Recommendation & Personalization
Rank, recommend, or personalize content, products, actions, or workflows based on relevant data and business rules.
RecommendationsRankingPersonalization
AI 12AI Capability
Anomaly, Risk & Exception Detection
Surface unusual activity, process exceptions, data quality issues, or operational signals for human review.
Anomaly detectionRisk signalsExceptions
AI 13AI Capability
NLP, Classification & Sentiment
Classify text, extract entities, detect intent, summarize, structure free text, and analyze large volumes of language data.
NLPClassificationEntity extraction
AI 14AI Capability
Computer Vision Workflows
Image classification, object detection, visual inspection, image-to-data workflows, and document/asset analysis where appropriate.
VisionDetectionInspection
AI 15AI Capability
AI for Software & Technical Operations
Developer assistants, codebase search, incident summarization, log analysis, documentation workflows, and engineering productivity tools.
Developer AICode searchDevOps
AI 16AI Capability
LLM & Model API Integration
Integrate commercial or open model APIs into existing products with routing, prompts, context management, and fallbacks.
LLM APIsModel routingIntegration
AI 17AI Capability
AI Evaluation, Guardrails & Monitoring
Test outputs, monitor quality, define thresholds, version prompts, implement human review, and reduce production risk.
EvaluationGuardrailsMonitoring
AI 18AI Capability
AI Data Pipelines & Retrieval Infrastructure
Prepare ingestion, chunking, embeddings, vector search, structured retrieval, metadata, and refresh workflows.
Data pipelinesEmbeddingsVector search
No matching AI capability found. We can still evaluate a custom use case.
Production AI architecture
AI is one layer of a larger system.
Reliable AI applications require more than a model call. They need data access, permissions, orchestration, evaluation, observability, fallbacks, and human controls.
01
Data & Context
Documents, databases, APIs, vector search, metadata, permissions, and governed retrieval.
02
Models & Reasoning
Model selection, routing, prompts, structured outputs, tool use, and task decomposition.
03
Workflow & Integration
Business rules, APIs, queues, actions, approvals, notifications, and system updates.
04
Evaluation & Safety
Test sets, quality thresholds, monitoring, guardrails, human review, and failure handling.
Where AI fits well
High-volume, information-heavy, repeatable work.
- Teams repeatedly searching the same internal information
- Manual document review, classification, summarization or routing
- High-volume conversations that need transcription, QA or structured outputs
- Operational workflows that combine judgment with deterministic business rules
- Large data sets where patterns or prioritization can assist decisions
Where we stay careful
AI should not quietly replace required controls.
- High-risk decisions without adequate human review
- Sensitive data without clear access and retention controls
- Workflows where incorrect output cannot be detected or corrected
- Automation without logging, monitoring, rollback, or ownership
- Use cases where deterministic software is simpler and more reliable
Have an AI use case?
Start with the workflow, data, and desired outcome — not the model name.
We can help determine whether the right answer is an agent, RAG system, automation, predictive model, integration, or conventional software.