AI agents, MCP, copilots, and the automation of knowledge work.
16 briefings
Zip's five AI Superagents show how procurement automation can work without breaking role-based permissions or audit trails.
The 2026 shift in enterprise AI is from prompt-driven assistants to outcome-driven agents that complete workflows across systems. Here is how to design one that actually ships.
xAI's Grok Build enters the coding-agent market with eight parallel subagents, git worktree isolation and headless mode, adding pressure to an already competitive field.
Mistral's Workflows launch shows why durable orchestration matters: separating the plan from the execution keeps AI pipelines reliable, observable and sovereign.
OpenAI's new workspace agents promise lead qualification, metrics reporting and risk screening inside cloud tools. For most firms, the question is not what the agents can do, but who owns them once they start doing it.
Microsoft's Agent 365 promises a unified control plane for enterprise agents. With IDC predicting 1.3 billion agents by 2028, the question is whether governance can keep up with creation.
DigitalOcean’s launch of NVIDIA Dynamo 1.0 claims 67 per cent higher GPU throughput and 79 per cent lower latency. The underlying idea — disaggregated inference — matters for agentic workloads.
Vercel describes a production knowledge-agent architecture that replaces vector pipelines with direct filesystem and shell access, cutting cost per sales call from around $1.00 to around $0.25.
Microsoft's Copilot Cowork, powered by Anthropic's Claude and Work IQ, suggests the future of enterprise AI is inside the tools people already use.
MarTech argues that AI ROI in marketing comes faster from augmenting existing workflow automation than from chasing breakthrough use cases. The message is to start where the workflows already exist.
Attackers are exploiting prompt injection, malicious MCP servers and over-privileged credentials in AI coding environments. A DevSecOps checklist can reduce the exposure.
OpenAI's Frontier platform gives enterprises access controls and feedback loops for managing AI agents. Customers including HP, Oracle, State Farm and Uber signal that agent management is becoming a board-level concern.
Anthropic's Cowork now supports plug-in personas for sales, legal, finance, marketing and support. The appeal is clear; the limits on delegated judgement are less obvious.
AI agents, hyper-personalisation and schema markup are reshaping digital marketing. The challenge is knowing when to automate and when to keep a human in control.
The ICO's Tech Futures report on agentic AI identifies four data-protection risks: blurred controller-processor roles, scaled automated decision-making, purpose creep and transparency gaps.
Gartner predicts 40% of enterprise applications will include task-specific AI agents by the end of 2026, up from less than 5% in 2025. Product and technology leaders should plan now.
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