Est. 2024

AI Operations Consulting

AI Operations Company

AI Applied To
Real Operations.

We design intelligent operational systems that reduce manual work, improve support processes and modernize business operations through AI copilots, workflow orchestration and operational automation.

Operational impact

Teams using our systems recover 60–80% of time lost to manual tasks within 90 days of deployment.

Artificial Intelligence
Machine Learning
Process Automation
Predictive Analytics
Smart Logistics
AI Commerce
Wellness Tech
Data Intelligence
Neural Systems
Strategic AI
Artificial Intelligence
Machine Learning
Process Automation
Predictive Analytics
Smart Logistics
AI Commerce
Wellness Tech
Data Intelligence
Neural Systems
Strategic AI
Live Operational System

Sistema Operando en Vivo

LIVE
sdit_ops :: global_monitor — v2.4.1
all systems operational
NYCLONDXBSGPTYOSAOLAGSYDMEXMUMNORTH AMERICAEUROPEAPACLATAMMEA
NODES: 10ROUTES: 10ACTIVE: 0
PROJ: EQUIRECTANGULAR

0

Processing

0

Resolved

0

Escalated

0

Nodes

// event_stream

events / sec

0

// ai_pipeline

Classifying intent
Retrieving knowledge
Generating response
avg_latency: ~340msconfidence: 0.94uptime: 99.8%
model: sdit-ops-v2 · RAG+LLM
The Reality

Most companies do not need more software.

They need:

  • fewer operational bottlenecks
  • less manual work
  • faster support systems
  • better operational visibility
The Problem

Operational friction is slowing companies down.

These are not software problems. They are operational problems: AI systems built for real workflows are the solution.

See our solutions →

Teams wasting time on repetitive tasks

Support systems overloaded

Business knowledge scattered across departments

Legacy software disconnected from operations

Slow workflows and manual approvals

Dependency on key employees

Operational information trapped in silos

Solutions

We build operational
AI systems.

Six specialised systems built around real operational problems, not generic AI features.

01

AI Support Desk Systems

Problem

Support teams overwhelmed by repetitive queries and slow resolution times.

AI System

AI-powered support agent trained on your knowledge base, resolving Tier-1 tickets automatically.

Impact

Up to 70% reduction in ticket volume. 24/7 coverage without headcount increase.

LLMKnowledge BaseTicketing
Start here
02

Internal AI Copilots

Problem

Employees spending hours searching for information, writing reports, or navigating internal tools.

AI System

Custom AI assistant embedded into your workspace: Slack, Teams, or internal portal.

Impact

Hours saved per employee per week. Faster onboarding, institutional knowledge preserved.

Chat InterfaceRAGIntegration
03

AI Workflow Orchestration

Problem

Manual, multi-step processes prone to delays, errors and bottlenecks.

AI System

Intelligent workflow engine that routes tasks, triggers actions and monitors execution automatically.

Impact

Workflows completed 3–5× faster. Errors eliminated. Full operational visibility.

AutomationOrchestrationTriggers
04

AI Operational Audits

Problem

No clear picture of where AI can reduce friction or create the highest ROI.

AI System

Structured discovery process that maps your operations and scores AI opportunity by impact and feasibility.

Impact

Prioritized roadmap with concrete ROI estimates before a single line of code is written.

AuditRoadmapROI
05

AI Modernization

Problem

Legacy systems disconnected from modern workflows, creating data silos and inefficiencies.

AI System

API layers, intelligent connectors and AI middleware bridging old infrastructure to new capabilities.

Impact

Existing systems extended without full replacement. AI unlocked on top of current stack.

API LayerIntegrationLegacy
06

AI Operations Retainers

Problem

AI systems need ongoing monitoring, retraining and expansion as business needs evolve.

AI System

Dedicated AI operations partner handling model performance, new automations and strategic expansion.

Impact

Continuous improvement. AI that gets smarter and broader over time, not a one-off project.

MonitoringOptimizationOngoing
Industries

Where we operate

Deep domain knowledge across five industries with complex operational environments.

Manufacturing

Production line monitoring, predictive maintenance, quality control automation, and supply chain intelligence.

↑ 68% reduction in unplanned downtime

Logistics

Route optimization, demand forecasting, fleet intelligence, warehouse automation and real-time operational visibility.

3× faster order exception resolution

Healthcare

Patient intake automation, clinical documentation AI, scheduling optimization and support desk systems for medical teams.

↓ 74% admin intake time per patient

Construction

Project workflow orchestration, subcontractor coordination, document management AI, and compliance automation.

↑ 55% on-time document approval rate

Transportation

Cab system AI, real-time geo-reference for truck fleets, driver dispatch automation, and route intelligence for last-mile operations.

↓ 38% idle time via live route intelligence

Process

How We Work

A structured method that eliminates guesswork and delivers measurable outcomes.

01

Operational Discovery

1–2 weeks

We audit your current operations: people, tools, workflows, pain points. No assumptions. We observe how your business actually runs before recommending anything.

02

Workflow & Process Mapping

1 week

Every key workflow is documented, bottlenecks are identified and AI opportunity is scored by impact and feasibility. You get a clear picture of where intelligence adds the most value.

03

AI System Architecture

1 week

We design the technical blueprint: AI models, data flows, integration points, security boundaries. Architecture built for your stack, not a generic reference design.

04

Implementation & Integration

4–12 weeks

We build, test and deploy. Iterative releases, clean API integrations, training sessions for your team. Production systems, not proof-of-concept demos.

05

Optimization & AI Operations

Ongoing

Post-launch we monitor performance, retrain models, resolve edge cases and expand coverage. Your AI system improves continuously; we stay engaged to make it happen.

Why Us

Built by engineers who understand real business systems.

We combine software engineering, operational workflows and AI infrastructure to create systems that integrate into real business environments.

This is not generic automation.

This is operational intelligence.

Book an Assessment →

Software Engineering

We write production-grade code: not scripts, not prototypes. Systems designed to scale.

Operational Workflows

We understand how businesses actually run: approvals, exceptions, dependencies, human factors.

AI Infrastructure

LLMs, vector databases, fine-tuning, RAG pipelines; deployed and maintained for real environments.

Our commitment

We stay until results are measurable. No handoffs after deployment, no black-box systems. You own everything we build.

Nearshore AI Partner

Mexico-based engineering team. US-compatible hours (GMT-6). Nearshore costs without offshore risk.

Before, our maintenance team was reacting to breakdowns. Now the AI flags risks 48 hours out. We stopped three major line stoppages in the first quarter alone.

OD

Operations Director

Industrial Equipment Manufacturer · Manufacturing

Dispatch coordination used to eat four hours of my team's day. The workflow system handles it automatically. We scaled 30% without adding headcount.

VF

VP of Fleet Operations

Regional Transportation Operator · Transportation

The support desk AI handles 70% of staff queries without escalation. My team finally has time for the work that actually needs a human.

HC

Head of Clinical Operations

Hospital Network · Healthcare

Results

Measured impact

0+

AI Solutions Deployed

across 3 industries

Average ROI

within first 12 months

0%

Cost Reduction

in automated workflows

0%

Client Retention

long-term partnerships

SDIT reduced our dispatch time by 40% in 8 weeks. The AI routing model they built is now core infrastructure.

C

Carlos M.

COO, FreightTech SA

Logistics

They didn't just build a recommendation engine; they trained our team, set up monitoring, and stayed for 3 months post-launch.

A

Ana R.

Head of Product, Vivo Commerce

Commerce
Get started

Reduce operational
friction.

Discover how intelligent operational systems can improve workflows, support and productivity across your organization.

Response within 24 hours · No pitch decks

Built on industry-standard infrastructure
OpenAI
Anthropic
Google Gemini
Meta · Llama
Mistral AI
Cohere
Hugging Face
xAI · Grok
OpenAI
Anthropic
Google Gemini
Meta · Llama
Mistral AI
Cohere
Hugging Face
xAI · Grok
OpenAI
Anthropic
Google Gemini
Meta · Llama
Mistral AI
Cohere
Hugging Face
xAI · Grok
AWS
Google Cloud
Microsoft Azure
NVIDIA
CUDA
TensorFlow
Keras
PyTorch
LangChain
LangGraph
Pinecone
Datadog
Grafana
Weights & Biases
MLflow
AWS
Google Cloud
Microsoft Azure
NVIDIA
CUDA
TensorFlow
Keras
PyTorch
LangChain
LangGraph
Pinecone
Datadog
Grafana
Weights & Biases
MLflow
Salesforce
SAP
Odoo
Zoho
HubSpot
Microsoft Dynamics
ServiceNow
Monday.com
Notion
Zapier
Make
Slack
Salesforce
SAP
Odoo
Zoho
HubSpot
Microsoft Dynamics
ServiceNow
Monday.com
Notion
Zapier
Make
Slack
Salesforce
SAP
Odoo
Zoho
HubSpot
Microsoft Dynamics
ServiceNow
Monday.com
Notion
Zapier
Make
Slack