Preparing Enterprises for an AI-Driven Future
From LLM integration to agentic workflows, RAG pipelines and AI governance — we build practical, business-driven AI use cases that create measurable value without the hype.
Large Language Model Integration
Connect GPT-4, Claude or open-source models to your enterprise systems · Custom model fine-tuning for industry terminology · Secure deployment with data privacy controls.
Intelligent Process Automation
Document processing and data extraction · Automated report generation and summarization · Email routing and response drafting · Workflow automation with AI decision nodes.
Conversational AI & Chatbots
Customer service automation · Internal knowledge base assistants · Multi-language support systems · Agentic shopping assistants on ChatGPT, Gemini, Claude and Perplexity.
Agentic Commerce & Multi-Agent
MCP, ACP, AP2 protocol-based multi-agent orchestration · Autonomous agents for B2B procurement, inventory, returns and order management 24/7.
AI Governance & Safety
Bias detection and mitigation · Output quality control · Compliance frameworks for regulated industries (BFSI, Healthcare) · Responsible AI adoption frameworks.
AI Tooling Stack
IBM WatsonX · Anthropic Claude · OpenAI GPT-4 · Google Gemini · GitHub Copilot · Cursor · Claude Code · Replit AI · Mabl · Playwright AI · n8n AI nodes · Workato AI
2.5× AI Productivity Multiplier
Every Cnetric delivery pod operates with AI tooling across the full SDLC — achieving 2.5× the output of traditional engineering teams at equivalent headcount. 40% faster release cycles.
AI-Native Pod Model
Planning (Forecast.app, Linear AI) → Development (Cursor + Copilot) → Testing (Mabl) → Deployment (AI-assisted CI/CD) → Knowledge (Glean). 4–6 person squads covering the full SDLC.