CISP1Let's talk ↗

One platform.
Your entire operation.

Data, decision intelligence, agents, and governance connected to the enterprise environment. Model independence. End-to-end control.

Between models and impact,
the CISP1 layer.

OpenAI, Anthropic, Google, and open or specialized models are components of the architecture. CISP1 connects this intelligence to the company's ERP, CRM, data, APIs, and legacy systems.

Private environmentHybridCloud
Integrated layers of the CISP1 platform
01 / 08

Data & context

Connect sources, structure knowledge, and deliver traceable context so AI can understand your business.

RAGVector databasesCuration

Connect → Structure → Govern → Retrieve

Sources and systems are connected; entities and relationships structure knowledge; permissions and versions govern access; retrieval delivers traceable context.

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02 / 08

Decision intelligence

Turn relational and temporal data into predictions, scores, and recommendations for sales, risk, operations, and purchasing.

PredictionsRecommendationsAnomalies

Predictive signals for real processes

APIs deliver probability, confidence, time horizon, explanatory factors, and model version. These signals support sales, risk, operations, and purchasing.

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03 / 08

Agentic systems

Orchestrate agents with state, memory, and traceability. Connect people and systems to execute processes within defined limits.

OrchestrationMemoryTraceability

Understand → Plan → Collaborate → Execute → Learn → Govern

The system interprets requests, breaks down objectives, coordinates agents and people, triggers workflows, uses memory and feedback, and respects policies and human oversight.

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04 / 08

AI Runtime

Route each task based on the balance of quality, cost, latency, and criticality. External models are modular, replaceable components.

RoutingQualityEfficiency

Modular, replaceable models

Routing considers cost, latency, quality, and criticality. The choice aligns with the use case and preserves vendor independence.

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05 / 08

Training & adaptation

Adapt models to your company's domain with curation, fine-tuning, versioning, and continuous evaluation.

Fine-tuningVersioningEvaluation

Domain-specific knowledge

Data curation, adaptation, fine-tuning, versioning, and evaluation align model behavior with business needs.

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06 / 08

Security & compliance

Protect sensitive data with anonymization, entity recognition in Portuguese, and audit trails. Incorporate LGPD into the architecture.

PrivacyLGPDAuditing

Privacy built into the architecture

NER in Portuguese, anonymization, pseudonymization, and auditing protect personal data and support LGPD compliance.

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07 / 08

AI Ops & observability

Monitor quality, cost, latency, drift, and security. Evaluate AI behavior and evolve operations based on evidence.

ObservabilityBenchmarkingEvaluation

Measure. Evaluate. Evolve.

Quality, cost, latency, drift, robustness, security, and behavior are monitored to guide the evolution of operations.

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08 / 08

Execution & integration

Integrate agents and applications with the systems already part of your operations: APIs, ERP, CRM, workflows, and legacy systems.

APIsConnectorsWorkflows

From decision to action

Connectors, APIs, and workflows enable intelligence to participate in processes within existing enterprise systems.

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From opportunity to operation.

Let's identify a high-impact use case and design the foundation for scaling.

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