Enterprise AI implementations are failing at a 75% rate globally (McKinsey, 2025). The gap isn't the AI — it's the integration. Win Infosoft builds generative AI systems that are connected to real data, tested against real workflows, and measured by real business outcomes.
What We Build
Six practice areas, each delivered with full source code ownership and no dependency on any single model vendor.
Fine-tune or build LLMs on proprietary enterprise data. Models stay on your infrastructure, not a third-party cloud. Your data doesn't leave your environment at any point during training or inference.
Retrieval-augmented generation that pulls from your documents, databases, and knowledge bases in real time. Answers grounded in your actual content — not a model's training data from two years ago.
Multi-step AI agents that operate across CRM, ERP, and ticketing systems without human handholding. Agents that can read a support ticket, look up order history, draft a response, and route for approval — automatically.
Drop generative AI capabilities into existing applications via APIs. No full rebuild required. Teams can add summarization, classification, or generation features to current tools in weeks, not quarters.
Systematic prompt design that increases output quality and reduces token waste by up to 40%. This isn't trial-and-error — it's a structured process with evaluation sets, regression testing, and version control.
Review existing AI deployments for hallucination risk, data leakage, and compliance gaps. Delivered as a written report with remediation steps — not just a list of findings with no path forward.
The Process
A fixed process that removes ambiguity and gives teams a clear picture of timeline and deliverables before any code is written.
Map current workflows and identify the highest-ROI AI entry points. Output: a prioritized shortlist of use cases with effort estimates.
Build a working demo against your actual data. Validate the use case before committing to a full build — 72 hours, not 12 weeks.
Full integration with testing, monitoring, and rollback plans. CMMI Level 3 process discipline at every stage. No surprises at delivery.
Model retraining, performance monitoring, and quarterly reviews. Models drift over time — this keeps them accurate.
Why Win Infosoft
Most AI vendors sell capability. What matters is whether a system holds up six months after launch. These are the structural reasons Win Infosoft's implementations do.
Delivery teams that understand Indian enterprise data structures, compliance requirements, and the operational realities of working within existing IT stacks.
Certified across AWS Bedrock, Azure OpenAI, and Google Vertex AI. No vendor lock-in — the right platform is chosen based on your existing infrastructure and cost model.
Applied to every AI project — not just the traditional development work. Documentation, change management, and testing standards that enterprise procurement teams expect.
Source code is transferred to the client on delivery. No ongoing licence fees for the software itself, and no dependency on Win Infosoft to keep the system running.
Model Support
Model selection is based on cost, data sensitivity, and task performance — not vendor preference.
Common Questions
Most production-ready implementations take 6–12 weeks, including integration testing. A proof of concept can be ready in 72 hours — enough to validate the use case and see real output quality before committing to a full build.
Win Infosoft's team builds RAG pipelines that connect directly to your databases, SharePoint, CRM, and document stores. No data migration required. The system reads from where your data already lives and returns answers grounded in that content.
Project cost depends on complexity, data volume, and integration depth. Discovery engagements start at ₹2 lakhs. Contact the team for a scoped estimate based on your specific requirements — the discovery call itself is free.
Both. Win Infosoft has experience with GPT-4, Claude, Gemini, and open-source models including LLaMA, Mistral, and Phi-3. The model is chosen based on cost, data sensitivity, and performance requirements — not a preferred vendor relationship.
Get Started
Schedule a free 45-minute discovery call. No pitch deck — just a direct conversation about what's feasible, what it costs, and what you'll get.
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