AI solutions built for real operations
We design and deploy production AI systems — agents, forecasting models, optimization engines, and automation workflows — for companies that run complex operations at scale.
What we deliver
Capabilities & outcomes
What we build
- AI Strategy & Roadmapping
- LLM/Agent Systems (RAG, tools, guardrails)
- Computer Vision (warehouse, documents, inspections)
- Predictive Analytics (risk, demand, churn)
- Optimization (routing, scheduling, inventory)
- Integrations (ERP/TMS/WMS/CRM)
Typical outcomes
- Faster decision-making across operations
- Reduced manual processing time
- Improved forecast accuracy
- Lower operational costs
- Better customer experience
- Data-driven strategic planning
Solution modules
Modular AI capabilities
Each module can be deployed independently or combined into an integrated AI platform tailored to your operations.
AI Strategy & Roadmapping
Help companies identify highest-impact AI opportunities and build practical implementation plans aligned with operational goals.
LLM & Agent Systems
RAG pipelines, tool-using agents, conversational AI with safety guardrails designed for enterprise-grade reliability.
Computer Vision
Automated inspection, document scanning, warehouse monitoring, and visual quality control powered by modern CV models.
Predictive Analytics
Risk scoring, demand forecasting, churn prediction, and anomaly detection tuned to your domain and data patterns.
Optimization Engines
Route planning, scheduling, inventory allocation, and resource optimization algorithms that improve over time.
System Integrations
Connect AI to your existing ERP, TMS, WMS, CRM. We work with your stack, not against it — clean APIs and reliable data flows.
Under the hood
How we work under the hood
Modern cloud infrastructure, secure ML pipelines, model monitoring, human-in-the-loop validation. We build for production reliability, not demo day.
Cloud-native
Built on modern cloud infrastructure for scalability and reliability.
Secure pipelines
Encrypted data flows, access controls, and audit-ready ML pipelines.
Human-in-the-loop
Validation workflows that keep humans in control of critical decisions.
FAQ
Frequently asked questions
What industries does AI Squad serve?
We focus on operations-heavy sectors: supply chain, logistics, transport, insurance, and travel agencies. These industries share common challenges around forecasting, document processing, and operational optimization that AI can meaningfully improve.
Do you build custom AI solutions?
Yes, every engagement is tailored to your specific operational context, data landscape, and business goals. We don't sell off-the-shelf products — we design and deploy systems that fit your workflows and integrate with your existing stack.
How long does a typical project take?
It depends on scope. A focused pilot can be 4–8 weeks from kickoff to production. Larger programs with multiple AI modules typically run 3–6 months. We always start with a clear roadmap so expectations are aligned from day one.
Do you support on-premises deployment?
Yes, we offer cloud, VPC, and on-premises deployment options. We work with your security and compliance requirements to determine the best infrastructure approach for your organization.
What makes AI Squad different from other AI consultancies?
Production-first mindset — we build for reliability, not demo day. Deep domain expertise in operations-heavy industries. Global delivery capability across multiple regions. And we measure success with your KPIs, not vanity metrics.
How do we get started?
Contact us for an initial conversation. We'll discuss your operational challenges, data readiness, and goals. From there, we'll propose a scoped engagement — usually starting with an AI strategy assessment or a focused pilot project.
Ready to explore what AI can do for your operations?
Let's start with a conversation about your challenges and goals.