RAG vs Fine-Tuning vs Copilot: Choosing the Right Approach to Enterprise AI
Three terms dominate nearly every enterprise conversation about implementing Gen AI: RAG, fine-tuning, and Copilot. They are frequently discussed as…
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We Don't Sell AI.
We Engineer
Outcomes.
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.
4-6X
Faster delivery cycles
60%
Lower engineering cost
3:1
ROI on AI-led builds
24/7
AI-assisted operations
THE PRODUCTION GAP
Bridge the Gap Between AI Potential and Business Performance.
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.
WHAT WE DO
Three Outcomes. One Delivery Model.
Service names are the means, not the message.
Get the legacy estate off the licence bill and AI Ready.
AI Driven Digitalisation
Modernise legacy estates, ship bespoke applications, and run transformations all delivered by AI-native engineering teams using Claude, Copilot, and Cursor.
- Legacy Modernization
- Bespoke Development
- Digital Transformation
Turn data into decisions the C suite can act on.
Data Engineering + BI
From legacy warehouse to modern lakehouse, lift-and-shift migration, embedded analytics, and Power BI digital cockpits for the C-suite.
- Data Modernization
- Data Analytics
- Data Migration (Lift & Shift)
- Power BI / Digital Cockpit
Ship AI Agents that act in production, under audit.
Gen AI & Agentic AI Services
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.
- RAG (Knowledge-Based)
- Copilot
- AI Remote Team
- AI-Centric Bespoke / AI Agents
HOW WE DO IT
AI-Native Delivery - Claude, Copilot, Cursor
AI-native delivery. Agentic AI engineered for production. Outcome-aligned commercials.
Claude
Architecture, refactor, complex reasoning, and document generation. Replaces senior-reviewer hours and business-analyst sprints.
Copilot
IDE pair-programming, unit tests, boilerplate, and code completion. Replaces mid-level developer time-on-task.
Cursor
Multi-file refactors, repo-wide change sets, and debugging at scale. Replaces tech-lead time navigating large codebases.
Engagement Models That Match Your Risk Appetite
MODEL 01
Outcome-Driven
You define the KPI. We carry the execution risk. ~30% of fee tied to delivering it.
MODEL 02
Time & Material
Sprint-aligned engineering pods of 3-7 engineers. Transparent monthly burn.
MODEL 03
External IT Team
Build-Operate-Manage / Transfer, Productivity-On-Demand, specialized Teams.
WHO WE DO IT FOR
Industry depth, AI-native delivery - across the five sectors
where we produce the most P&L impact.
Cut Unplanned Downtime
25-40% Manufacturing
OEE cockpits, predictive
maintenance, shop-floor AI
Agents.
Cut forecast error
25-35% Supply Chain
Demand sensing, control-
tower visibility, autonomous
planning Agents.
Cut case-handling time
35-50% BFSI
Fraud, KYC, RM Copilots, regulatory reporting. 100%
audit traceability.
Lift on-shelf availability
4-6pp Retail
Personalization, assortment,
store-associate AI Agents.
Cut documentation time
30-45% Healthcare
Clinical documentation, prior
auth, claims AI. HIPAA aware.
TECH STACK & PARTNERSHIPS
How the Production System Holds Together.
Platform-agnostic, opinionated where it matters. Audit-ready, sovereign by design.
Foundation Model & AI Agents
MCP
Application & Engineering
Data & Lakehouse
Cloud Sovereignty & Finops
Observability, Evals & Guardrails
Golden Evals
Compliance & AI Governance
Model Cards
WHAT OUR CLIENTS SAY
Different Sectors. Different Roles. Different Metrics. Same Delivery Model.
ABOUT SMI TECH SOLUTIONS
An AI-Driven Digitalisation Partner for Mid-Market and Enterprise Leaders.
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).
Engineers across delivery centres
0
+
Countries Serving
0
+
Years delivering enterprise IT
0
+
Production AI deployments
0
+
AI Act ready delivery. Model risk and AI Agent action
audit by default not an upsell.
- SOC 2
- ISO 27001
- HIPAA-aware
- GDPR / DPDP-ready
- EU AI Act-ready
- Microsoft Partner
- AWS Partner
- Anthropic Partner
- Databricks Partner
INSIGHTS & RESOURCES
Frameworks, Case Studies, and Field Reports from Our Delivery Teams.
Why Enterprises Are Building AI Remote Teams Instead of Scaling Headcount
Every enterprise engineering leader faces the same recurring pressure: more delivery is expected, and the traditional answer – hire more…
Enterprise Gen AI Services: RAG, Copilot, AI Remote Teams & AI-Centric Bespoke Development Explained
“We need a Gen AI strategy” is a sentence heard in nearly every enterprise boardroom now – and it routinely…
Data Control Tower vs Digital Cockpit vs Power BI Dashboard: What’s the Difference
Ask three stakeholders inside the same enterprise what a “control tower” is and you will likely get three different answers…
Why Control Tower and Digital Cockpit Initiatives Fail – And What Leaders Must Do Differently
Data control towers and digital cockpits are commissioned with a clear promise: real-time visibility that lets the organisation act before…
FAQ
Frequently Asked Questions
What is Agentic AI, and how is it different from regular Gen AI?
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.
How is "AI-driven digitalisation" different from traditional digital transformation?
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.
Do you use our codebase or data to train models?
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.
What is the minimum engagement size?
Most engagements start with a paid 2 weeks diagnostic. Programmes typically scale from there.
Can you work alongside our incumbent IT or consulting partners?
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.
Where are your delivery teams located?
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.
Production AI Is a Decision, Not a Demo.
Make Yours This Week.
Book a 30-minute call. We will walk you through three peer-industry case studies and
put a written assessment of your biggest near-term outcome on the table.