Enterprise AI · Strategy · Architecture · Engineering · Operations

Artificial Intelligence for organizations that lead and governments that serve better

Blue349 helps companies and public institutions find where AI creates real value, design it for their data and security, build it into their systems — and operate it. One team, from the first conversation to day-to-day operation.

Map your AI opportunities Talk to us
  1. DiscoverOpportunity
  2. DesignArchitecture
  3. BuildProduction
  4. RunOperation

Security & governance, across every stage

The real problem

AI is no longer the question. Production is.

Most organizations have already seen a convincing demo. The hard part starts afterwards — where value, data, security and operations meet the real business.

Where AI initiatives usually stall

  1. 01
    Use cases chosen for novelty, not value.Nobody can say what the business gets back, so nobody funds the next step.
  2. 02
    The prototype never touches real data.Permissions, data quality and systems of record were not part of the design.
  3. 03
    Security arrives at the end — and says no.Agents with tool access, sensitive documents, no audit trail.
  4. 04
    Nobody owns it after launch.No monitoring, no evaluation, no one watching quality or cost.
  5. 05
    Locked into a provider by accident.The architecture was decided by the first API someone tried.

If any of this sounds familiar, the problem is rarely the model. It’s the path to production. That’s the part we work on.

How we work

One path, four stages.

You can start at any stage. What matters is that each one is designed with the next in mind — so nothing is built that can’t be run.

  1. 01 — Discover

    Find where AI creates value.

    You getA prioritized map of opportunities and a roadmap.

  2. 02 — Design

    Define architecture, data and controls.

    You getAn architecture your security and IT teams can approve.

  3. 03 — Build

    Build and integrate a real solution.

    You getA system in production, inside your operation.

  4. 04 — Run

    Operate, measure and improve.

    You getA system that stays accurate, secure and cost-controlled.

Security & governance

Identity, permissions, data protection, audit and human oversight are designed in from Discover — not bolted on after Build.

Run feeds the next Discover: every system in production reveals the next opportunity.

What you can hire

Five services, with defined scope and deliverables.

Start where you are: each one stands on its own and leads naturally into the next.

Discover

Recommended starting point

AI Opportunity Mapping

What it isWe identify where AI can create value and build a roadmap prioritized by impact, feasibility and risk.

Fixed scope and timeframe. Working sessions with your business and technology leads.

Discover your AI opportunities

What you get

  • Map of opportunities across processes and areas
  • Prioritization by impact, complexity and risk
  • Data, system and organizational dependencies
  • Preliminary architecture
  • Implementation roadmap
Design

AI Architecture

What it isWe design the technology, data and AI architecture needed to build solutions that are secure, scalable and sustainable.

What you get

  • Application and integration architecture
  • Model and provider strategy
  • Data, knowledge and retrieval (RAG) design
  • Agent design and controls
  • Identity, security and observability
  • Build plan and estimate
Build

AI Production

What it isWe turn AI initiatives into production solutions, integrated with the organization’s systems, processes and people.

Production Accelerator
One priority use case, from definition to its first production release, in a bounded timeframe.
Implementation
Broader enterprise rollouts: several processes, integrations, business units and users.

What you get

  • Integration with your systems, data and identity
  • Cloud or on-premise deployment — including local models when data can’t leave your environment
  • Evaluation, monitoring and security from the first release
Run

AI Operations

What it isWe operate, monitor and evolve AI systems to ensure reliability, performance, cost control and continuous improvement.

Recurring service.

What you get

  • Monitoring and observability
  • Infrastructure operation: cloud, on-premise or local models
  • Quality evaluation and regression checks
  • Model, prompt and version management
  • Cost control
  • Knowledge refresh
  • Security review, audit and continuous improvement
Across

AI Security & Governance

What it isWe put in place the controls, policies and evidence needed to deploy and use AI securely, auditably and under governance.

How we approach AI security →

What you get

  • Security assessment of existing or planned AI systems
  • Control architecture and remediation
  • Usage policies, recommendations and governance model

What we build

Four kinds of systems. Most enterprise opportunities fit one.

Each is backed by technology we have already built, so projects start from working components instead of from zero.

01AI Knowledge

Your documentation, answerable.

Policies, manuals, contracts and records turned into precise, cited answers — that respect who is allowed to see what.

Typical uses

  • Enterprise knowledge search
  • Document intelligence
  • Permission-aware retrieval (RAG)
  • Contextual answers for teams and customers

AcceleratorSmartDoc AI

02AI Data

Ask your data in plain language.

Business users and systems query enterprise data in natural language, with SQL generated and executed under control.

Typical uses

  • Natural-language analytics
  • Governed SQL generation
  • Controlled query execution
  • Data exploration for business teams

AcceleratorAI SQL Data Analytics

03AI Intelligence

Information that watches itself.

Continuous monitoring of sources that change — turned into relevant alerts, summaries and briefings instead of noise.

Typical uses

  • Sector news and external reputation
  • Public tenders and procurement
  • Regulatory change
  • Competitors, clients and suppliers
  • Security logs, scans and vulnerabilities

AcceleratorAI Radar

04AI Agents

Work that gets done, under control.

Agents that carry out multi-step business processes with tools and permissions — and ask a human when it matters.

Typical uses

  • Workflow and operational agents
  • Research agents
  • Enterprise assistants
  • Human-in-the-loop automation

AcceleratorAgent349 →

AI Security & Governance

Cybersecurity for your AI systems.

We assess, design and govern the security of AI agents, models, data and access. It isn’t a principle we apply by default — it’s a service, one you can hire on its own or as part of any other project.

What we protect against

  • Prompt injection through documents, emails or web content
  • Data leaking through answers, or retrieval that ignores permissions
  • Agents with more access than the task requires
  • Secrets and credentials exposed to models or tools
  • Actions nobody can trace or explain afterwards
  • Unmanaged use of external AI services

What’s included

Assessment
Review of existing or planned AI systems, agents and data flows. Findings prioritized by risk.
Control architecture
Identity, authorization, tool permissions, permission-aware retrieval, secrets management, traces and human approval.
Policies & recommendations
AI usage policies for employees and business teams, and concrete recommendations to reduce risk.
Governance
Roles, model and provider criteria, evaluation and audit practices your risk and compliance teams can own.

AI cybersecurity, not infrastructure cybersecurity

It doesn’t replace your security team, network or infrastructure controls: it covers the layer they don’t — models, agents, prompts, retrieval and tool access.

Assess your AI systems’ cybersecurity

Technology

Technology without lock-in.

We are model- and provider-agnostic. We design architectures that combine models, cloud services, your data and your existing systems according to what each organization needs — and that can change provider without starting over.

Reference architecture
  1. ExperiencePortals · workplace · channels · APIs
  2. Agents & workflowsOrchestration · tools · human-in-the-loop
  3. ModelsCommercial LLMs · open models · cloud AI — any provider
  4. Knowledge & dataRAG · documents · enterprise data · search
  5. Your systemsCore · ERP · CRM · document stores · data platforms
Trust layer
  • Identity
  • Security
  • Observability
  • Evaluation

Our own technology, where it gives a real advantage

We use proprietary accelerators when they save time and risk, and combine them with existing platforms when that is better for you. You buy the outcome, not our catalog.

Agent349 Enterprise AI agent framework The foundation we use to build and operate agents with identity, authorization, secrets, traces and human oversight — independent of the model provider. Explore Agent349 →

Who we work with

Where we start.

Organizations where processes, documents and data are dense — and where getting security wrong is not an option.

Financial services

Banks · insurers · fintech

  • Knowledge and compliance
  • Document intelligence
  • Data analytics
  • Service operations
  • Agent automation
  • AI governance

Knowledge-intensive enterprises

Utilities · telecom · industry · logistics · professional services

  • Large administrative and operational processes
  • Document-heavy workflows
  • Distributed knowledge
  • Data spread across systems

Public sector

Government and public bodies

  • Portals and digital procedures
  • Institutional information
  • Documents and records
  • Public processes with transparency and control

Working across Latin America, with active focus on Mexico, Chile and Uruguay.

For partners

Consultancies, integrators and technology firms with enterprise relationships.

We bring
AI strategy, opportunity mapping, architecture, engineering, accelerators, AI security and operations.
You bring
Account access, industry knowledge, complementary implementation and local presence.
Explore a partnership

Contact

Let’s identify where AI can create real value in your organization.

A first conversation is just that — a conversation. No commitment.

What happens next

  1. You tell us about a process, a problem or an idea.
  2. We come back with questions and a first view of where AI could help — and where it shouldn’t.
  3. If there is a fit, we propose a scoped AI Opportunity Mapping.

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