10 articles tagged
MCP connects AI agents to your internal systems, and 78% of enterprise teams already run it. But 43% of public servers had command-injection flaws. What a production-grade custom MCP server needs in 2026, and how
AI resolves support tickets at roughly $0.62 versus $7.40 for a human agent, and D2C brands regularly deflect 70-80% of contacts. Here is when to buy an off-the-shelf agent, when to build custom, and how eCorpIT ships
About 60% of cloud migrations deliver below their projected ROI, and hidden costs can inflate a bill by 200-300%. Here is how to modernize legacy stacks in 2026 without blowing the budget, and how eCorpIT delivers it.
React Native 0.82 retired the old bridge and made the New Architecture the only option. Here is how to choose between React Native and Flutter in 2026 on the facts, and how eCorpIT ships production cross-platform apps
Enterprises are deploying AI agents fast, but 88% had an agent-related breach last year and only 21% have mature governance. eCorpIT's AI agent security service closes that gap with assessment, red teaming, guardrails
Cloud waste hit a five-year high of 29% in 2026 as AI workloads made spend unpredictable. eCorpIT's cloud FinOps managed service brings visibility, rightsizing, and anomaly detection to AWS, Azure, and GCP so teams cut
India's fintech market is worth about $51 billion in 2026, and payments lead it. eCorpIT builds UPI-ready, RBI-compliant fintech apps in Flutter or native, handling aggregator integration, data localization, PCI DSS
The majority of enterprise AI agent pilots never reach production, and Gartner expects over 40% cancelled by 2027, mostly for cost and governance reasons, not model quality. Here is how eCorpIT builds agents that ship
AI Overviews cut organic click-through 61% and push zero-click searches to 83%, yet brands cited in those answers earn 35% more organic clicks. eCorpIT's GEO and AEO service is built to get your brand cited and to track
From MIT's 95% pilot-failure finding to Gartner's agentic AI warnings, here are 7 AI delivery lessons for enterprise teams: scoping, grounding, evaluation, cost control, governance, and DPDP-ready privacy.
