AI-Assisted Decision Support

AI-Assisted Operational Workflows

We build narrow AI-assisted workflows where decision support improves forecasting, quoting, replenishment, triage, and other operational decisions. Practical AI that delivers measurable results.

30%+

Average OpEx Reduction

< 8 Weeks

Time to MVP ROI

10x

Process Execution Speed

100%

IP Ownership & Privacy

Legacy vs. Modern

Solving Operational Bottlenecks

Legacy Challenges

  • Scaling revenue requires hiring more headcount and bloating the payroll.
  • Decision-making relies on static Excel dashboards and gut feelings.
  • Using public AI tools exposes proprietary business data to competitors.

Modern AI Infrastructure

  • AI Agents handle 80% of repetitive workflows, allowing non-linear growth.
  • Predictive ML models forecast market trends with mathematical precision.
  • Private deployment options with data boundaries agreed before access.
How We Work

The AI Integration Pipeline

1. Data Readiness

We audit and clean your historical data to ensure it's ready for machine learning and accurate AI inference.

2. Custom Engineering

We train predictive models and build RAG workflows for your business. Data access and training use are agreed before work starts.

3. Autonomous Execution

We deploy intelligent agents that automate repetitive back-office tasks and decision-making workflows.

Our Core AI Services

What We Build

AI solutions scoped to your architecture, access requirements and acceptance criteria.

Autonomous Process Automation

Turn your heaviest operational bottlenecks into instant, automated workflows.

  • Automated Invoice & Claims Processing
  • Intelligent Support Copilots
  • NLP Data Extraction
Computer VisionLLM AgentsRPA Integration
+34% Forecast

Predictive Revenue Models

Anticipate market shifts and customer behavior with mathematical precision.

  • Dynamic Pricing Algorithms
  • Demand & Inventory Forecasting
  • Customer Churn Prediction
XGBoostTensorFlowTime-Series

RAG for your environment

Answers grounded in your corporate data, with model access and data use agreed before deployment.

  • Semantic Document Search
  • Automated Contract Analysis
  • Internal AI assistants with agreed access controls
LangChainPineconeVector DBs
Agreed data access
Our Process

The Delivery Framework

01

Feasibility Audit

We analyze your processes and identify AI use cases with the fastest, most measurable financial ROI.

02

Rapid MVP Deployment

We engineer and integrate a functional AI product in 6-8 weeks without disrupting operations.

03

Scaling & Handover

We hand over project code and documentation under the agreement. Existing components keep their licenses. Infrastructure access follows your account policies.

Who it is for

For operations leaders at mid-sized companies whose teams make the same forecasting, quoting or replenishment decisions every week.

A good fit

  • Your team works in an ERP or CRM and you want AI inside those tools, not a replacement for them.
  • You want a measurable result from one workflow before investing in more.
  • Your systems hold historical data, even if it needs cleaning before a model can use it.
  • Your data must stay private and under your control.

Not a fit if

  • You want an open-ended AI research project with no recurring business decision behind it.
  • You need engineers inside your own team. Staff Augmentation covers that.
Technology Stack

Our Technology Ecosystem

PyTorch
TensorFlow
OpenAI Enterprise
Anthropic Claude
LangChain
Pinecone
Hugging Face
AWS SageMaker

Agreed data boundaries. Clear IP terms.

Project artifacts and model usage rights defined in writing.

Documented model data use
VPC deployment available
Security controls agreed in writing
FAQ

Frequently Asked Questions

Get in touch

Start with one problem worth solving

Tell us the outcome you need and the systems involved. We reply within one business day and tell you whether there is a useful first step, or why there is not. No pitch either way.

Email us directly

sales@3alica.com