From legacy modernisation to Agentic AI in production, we engineer AI Agents and Gen AI systems that ship measurable outcomes, delivered by AI-native teams powered by Claude, Copilot, and Cursor.
Most enterprises are stuck between Gen AI pilots and production-ready Agentic AI. Traditional vendors layer more people on the problem. Generic AI vendors ship chatbots that never act on real workflows. The cost is the same: roadmap stalled, board impatient, value unproven.
SMI Techsolutions closes that gap. We engineer Agentic AI systems that learn, reason, retrieve, and act autonomously where it makes sense, with humans in the loop where it matters. Combined with Claude-, Copilot-, and Cursor-led delivery, we ship modernisation, data, and AI Agents into production, under audit-ready governance, on outcome-based contracts when you want them.
Modernise legacy estates, ship bespoke applications, and run transformations all delivered by AI-native engineering teams using Claude, Copilot, and Cursor.
From legacy warehouse to modern lakehouse, lift-and-shift migration, embedded analytics, and Power BI digital cockpits for the C-suite.
Production-grade Gen AI and Agentic AI, RAG over your knowledge, Copilot rollouts, AI Agents that act on real workflows, dedicated AI Remote Teams, and bespoke builds that survive production.
Architecture, refactor, complex reasoning, and document generation. Replaces senior-reviewer hours and business-analyst sprints.
IDE pair-programming, unit tests, boilerplate, and code completion. Replaces mid-level developer time-on-task.
Multi-file refactors, repo-wide change sets, and debugging at scale. Replaces tech-lead time navigating large codebases.
Sprint-aligned engineering pods of 3-7 engineers. Transparent monthly burn.
OEE cockpits, predictive
maintenance, shop-floor AI
Agents.
We combine deep delivery experience across Manufacturing, Supply Chain, Healthcare, Retail, and BFSI with AI-native engineering teams led by Claude, Copilot, and Cursor.
We operate from India (Tier-2 delivery centers for cost-effective scale), the USA (client coverage and onshore leadership), and the UAE (regional Middle-East delivery and partnerships).
AI Act ready delivery. Model risk and AI Agent action
audit by default not an upsell.
Most enterprise AI initiatives today are designed to assist employees rather than operate independently. AI-powered chatbots retrieve information, intelligent assistants…
As enterprise AI adoption accelerates, every organization eventually faces the same strategic question: Should we build our own AI capabilities…
Generative AI entered most enterprise conversations as a productivity tool — a way to draft emails faster or summarise documents.…
When a business case for cloud migration reaches the IT leadership team, it is often positioned as a legacy modernization…
The statistics surrounding legacy modernization failures are sobering. Industry research consistently shows that more than half of enterprise technology transformation…
Regular Gen AI answers questions; Agentic AI acts on them. AI Agents plan, use tools, retrieve from your systems, and execute multi-step workflows, with human approval where it matters and full audit logging on every action. That move from “demo” to “doing” is where most enterprise value sits.
Traditional transformation projects staff problems with people. We staff them with AI-native engineers using Claude, Copilot, and Cursor as primary delivery tools – and embed AI Agents into the workflows they touch. The result: faster cycles, lower cost, and a built-in path to Agentic AI in production, not just AI in pilots.
No. We use frontier models via private API endpoints with zero-retention configuration. Your code, data, and prompts are never used to train models. Self-hosted open-source options are available for the most sensitive workloads.
Most engagements start with a paid 2 weeks diagnostic. Programmes typically scale from there.
Yes. We frequently deliver inside programmes led by Big-Four advisors or as a partner to in-house engineering teams. Our role is the AI-native delivery layer on top.
India (Tier-2 delivery centres for cost-effective scale), USA (client coverage and onshore leadership), and UAE (Middle-East delivery and partnerships). Working-hour overlap of 4+ hours for US East and EU clients is standard.
