Build a working AI proof of concept in weeks and measure its impact on operational efficiency, delivery speed and decision-making, before investing further.
Based on AI-first delivery across recent SigmaInfo engagements, including a six-month build by an eight-person team for a small-business ERP platform, plus fintech and ecommerce projects.
A 45-minute working session with senior engineers to evaluate opportunities and define success metrics.
A practical roadmap: scope, data, timeline and expected business outcomes.
Senior engineers build a working POC in 2-3 weeks, so you validate value before scaling.
The people who scope your initiative are the ones who deliver it.
Human-in-the-loop systems built for environments where reliability matters.
Delivery across fintech, ecommerce, healthcare and enterprise.
NDA before engagement. Your code and IP remain yours.
Deep expertise wiring AI into products, data platforms and cloud.
Validate first. Scale once the business case is proven.
Manufacturing enterprise replaced legacy ERP complexity with AI-powered workflows, automation, and conversational intelligence.
District-wide organization unified fragmented systems and accelerated decision-making through AI-powered operational visibility.
Not sure where AI fits? We’ll identify the highest-impact opportunities during your strategy session.
Most AI validation engagements are completed within 2–3 weeks, depending on the scope, data availability, and integration requirements.
A senior engineering team reviews your use case, evaluates feasibility, identifies potential business outcomes, and outlines a practical validation roadmap.
No. Many organizations know they want to leverage AI but are unsure where to start. The strategy session is designed to identify and prioritize high-impact opportunities.
Common engagements include AI copilots, intelligent document processing, workflow automation, enterprise search, predictive analytics, reporting intelligence, and AI-powered product features.
Senior engineers and AI specialists. The team involved in discovery remains involved throughout validation and delivery.
Before development begins, we establish success criteria tied to business outcomes such as operational efficiency, turnaround time, productivity, cost reduction, or decision-making speed.
You receive a working AI solution, outcome measurements, technical recommendations, and a roadmap for production deployment if the results support further investment.
Yes. NDAs are executed before engagement, and your data, code, models, and intellectual property remain yours.
Yes. Sigma has experience integrating AI capabilities with ERP, CRM, ecommerce, fintech, analytics, and other enterprise platforms.
A proof of concept reduces investment risk by validating technical feasibility and business impact before committing to a larger implementation.
Please fill the form or send us an email at sales@sigmainfo.net