19 articles tagged
Gartner puts $234B of enterprise SaaS spend at risk from agentic arbitrage by 2030, and 97% of SaaS CEOs plan to drop seat pricing. Here is a practical framework to audit your stack, score each tool's exposure
Deloitte expects agentic AI adoption in manufacturing to quadruple from 6% to 24% in 2026, with predictive maintenance the strongest use case. The ROI, the 21% governance gap, and a rollout checklist for moving
On 20 July 2026 Amazon Connect expanded agentic voice to 50+ languages at $0.038 per minute. See when the managed option beats building your own voice stack on cost, latency, and turn-taking.
Gartner expects over 40% of agentic AI projects canceled by 2027 and MIT found 95% of gen AI pilots delivered no measurable P&L impact. Here is the scoping discipline that gets enterprise agents to production.
Indian enterprises lead on moving AI agents to production, but governance lags. A build-and-govern playbook using Gartner's autonomy-level model and a production-readiness checklist, with an India lens on DPDP and cost.
Over 40% of agentic AI projects will be cancelled by the end of 2027, Gartner says, on escalating cost, unclear value and weak risk controls. A build plan for staying in the surviving 60%.
Agents run heavy queries across your whole organisation. If the data is fragmented, the agent is guessing. Here is what the data layer needs before an agent is worth deploying.
JADEPUFFER exploited a critical Langflow flaw (CVE-2025-3248) and used an LLM to chain reconnaissance, theft and database extortion with no human operator. A breakdown of the attack and a 2026 defense checklist
In 2026, 98% of FinOps teams manage AI spend, Azure Copilot ships optimization agents that act under governance, and Graviton4 lifts price-performance up to 40%. Here is what cloud teams and CFOs should automate
Prompt injection is still OWASP's #1 LLM vulnerability in 2026, and agentic AI turns it into fraud and data theft. This guide shows how to contain it with least privilege, human approval and sandboxed tools.
Most AI agent projects fail on value, security and cost, not on the model. Here are five engineering lessons CTOs learn the hard way in 2026, backed by Gartner, MIT and OWASP data, from scoping ROI to controlling token
Over 40% of agentic AI projects will be canceled by the end of 2027, per Gartner. These are the five lessons eCorpIT learned shipping enterprise AI agents that actually reach production, priced in 2026 dollars
JPMorgan runs 450+ AI use cases and IBM's AskHR contains 94% of queries, yet Gartner expects 40% of agentic projects canceled by 2027. Seven agent use cases that reached production in 2026, and three that stalled.
Gartner expects over 40% of agentic AI projects to be canceled by 2027, and production agents succeed about 56.6% of the time. Three engineering lessons from shipping enterprise AI agents in 2026.
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.
iOS 27 turned the iPhone into an agentic platform for developers. Here are seven capabilities you can build on in 2026, from App Intents and Foundation Models to Core AI and the Passwords API, plus the one deprecation
AI customer service returns about $3.50 per $1, but a third of rollouts fail. Seven AI agent use cases driving real CX ROI in 2026, from autonomous resolution to churn prevention, each with its benchmark.
AI agents are reaching production faster than the controls around them. The seven governance layers enterprises need before scaling agents in 2026, mapped to the EU AI Act, NIST, OWASP and DPDP.
The average enterprise runs 12 AI agents in 2026 and IBM expects over 1,600 per large company by year-end, yet only 18% keep a complete inventory. A practical guide to governing multi-agent sprawl.
