Real Notes From Real Builders.
These are notes from our own engineers and founders on what’s actually working in AI-driven development, secure cloud, and product delivery, and what to watch out for before it costs you time.
A-CX has joined the OpenAI Partner Network, whose members include Accenture, Bain, BCG, McKinsey, and PwC. The membership expands the resources A-CX draws on to take enterprise AI from pilot to production, delivered through senior engineering teams and its A-CX AI Nexus governance platform.
In this follow-up, Mikko Peltola lays out A-CX’s five-step approach to PM for AI-driven projects: Deliver Brief, Deliver Spec, Deliver Plan, Deliver Code, and Deliver Deployment. He explains why the industry has solved the spec-to-code problem but not the client-to-spec step, and what happens when AI is left to guess…
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A-CX exhibits off-highway vehicle software and AI Workflow Automation at iVT Expo Chicago on August 19-20, 2026. The team will be at Hall F, Donald E. Stephens Convention Center, meeting OEMs, engineers, and suppliers from the off-highway vehicle technology sector.
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A-CX is exhibiting at AI for Trades in San Jose on July 9, 2026, to connect with contractors and construction technology teams applying AI in the field.
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AI-driven development has compressed build timelines from months to days, and product management has to move earlier to keep pace. Mikko Peltola argues that AI does not remove the need for structured requirements work, it just relocates where that work happens. He explains why reactive PM no longer survives a…
How A-CX turns a client’s real need into merged code: verified plans, an agile backlog agents execute against, and a human who owns the outcome.
Coding agents write a convincing first draft, not finished code. These are the coding agents best practices that keep engineering teams in control: verify every response, own the docs the agent generates, trace the logic before pushing, and never ship code you have not read.
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A-CX explores how employee-built AI agents and applications are transforming organizations and why they need a governance foundation to reach production. This post introduces the A-CX AI Nexus, a set of cloud-agnostic libraries that provide the control plane organizations need to deploy agentic AI securely, reliably, and at scale.
A-CX built its own governed AI tooling instead of relying on unverified public plugins. This post covers the decisions, the architecture, the feedback loop, and where AI genuinely moves the needle.
