Insights by magentIQ

Cognitive offloading is the delegation of mental work to something outside your own head, and generative AI extends it from arithmetic and directions to analysis and judgment. What the research establishes, what it does not, and five practices that keep your team sharp.

Preparing your firm for the shift to an agentic operating model.

How mapping the work before choosing the technology enables leaders to build an agentic operating model that delivers measurable returns.

McKinsey found that 80% of respondents report personal productivity gains from AI, while 37% can point to any EBIT impact. Part of that distance is trust. Five patterns that break a team’s confidence in AI at work, and the design decision that rebuilds each one.

An AI coding agent wiped my entire prototype sandbox in a single command, then named the exact rule it had broken and owned the mistake without hedging. What stayed with me was the gap it exposed.

Twelve executives from banking, insurance and a handful of other industries sat down to dinner. By the second course, they had stopped being polite about how ready they really are.

Three of the biggest names in AI just spent billions on a surprisingly human fix: engineers who sit inside a business and make the technology work. But even the best embedded engineer cannot solve the real problem, which is that most companies cannot fully explain how their own work gets

A frontier model can vanish in four days. If your core work depends on one provider, that is a risk you are quietly carrying.

Companies are handing core work to AI agents with none of the scaffolding that made outsourcing work. The technology is new. The operating model isn’t.

Learn how forward-thinking leaders are leveraging AI and automation to modernize finance and accounting operations.

How the next wave of AI is enabling manufacturing leaders to close the gap between the production floor and the management office.

How Agentic AI turns peak demand into a managed operating condition – so your teams scale capacity without scaling burnout.

Agentic AI can raise sales performance, but it fails without trust, clean data, and human oversight – why a new model is needed in the AI era.

How the next wave of AI is enabling Sales and RevOps teams to increase revenue, improve forecast accuracy, and coach at scale

How the new multi-agent workforce paradigm will enable companies to do more with less in 2026.

What 2025 taught us, how AI hype gave way to reality, and where magentIQ Sees the world going next

Moving from random acts of AI, to outcome-focused systems that drive real value.

Download the Agentic AI in Insurance guide and discover how leading insurers are using Agentic AI to scale claims, underwriting, and policy operations

At a private dinner, twelve senior executives from finance, insurance, law, and industry gathered for an unvarnished conversation about artificial intelligence.

If 2025 is the year of the forward-deployed engineer (FDE), 2026 may belong to a broader evolution: the forward-deployed workforce.

Use cases and best practices for building hybrid AI + People systems across Claims, Underwriting, and Operations

Picking the right area to start your AI journey can mean the difference between success and failure.

While ‘vibe-coding’ an army of AI agents is pretty darn cool, it poses a significant risk for companies globally.

Closing the readiness gap.

MIT finds 95% of AI pilots fail to deliver value. The issue isn’t technology but operating models – blocked by governance, skills, and data gaps that stall enterprise adoption.

You know ignoring AI is a massive risk. But pumping money into tech change is also fraught with danger. So what’s the solution?

Despite decades of ‘transformation’ – month-end close feels like a broken ritual that that AI might be able to fix.

The best FP&A teams are already evolving into hybrid units – part analyst, part orchestrator – enabled by Agentic AI.

Why organizations need AI, why AI needs people, and how to get ready for the agentic era.

AI isn’t a binary decision for your business. Once we look at task and process completion as the objective, we can start to assign the jobs to the best agent – whether it’s human or machine.

Artificial intelligence is often pitched as a seductive alternative people, however, hype around AI autonomy often outpaces operational reality.

On-Demand Webinar. 60-minute panel discussion around effective adoption of AI in Finance & Accounting.

Finance teams do NOT need more software. They need AI that acts like a teammate.

Download the Agentic AI in F&A Guide and discover how leading finance teams are using agentic AI to scale their operations smarter, faster. 

There’s a wave of investor and media enthusiasm for AI agents, but how much of the AI Agent buzz is running ahead of the facts?

You want to make use of AI in your business. But you don’t have $40bn to spend. We got you.

AI hype isn’t translating into ROI. In our latest AMA, Ian Barkin and David Brain break down why – and how a Multi-Agent Workforce changes the game.

Delivering cutting-edge AI and world-class talent to organizations, ensuring AI drives real business value.

Technology vendors are selling a dream: an AI-first future where automation handles everything. And while 92% of companies plan to increase their AI investments over the next three years, 74% of companies struggle to scale AI solutions beyond pilot projects. MagentIQ exists to solve this challenge.

magentIQ is our proprietary, integrated approach to delivering your work holistically.

The future of work isn’t AI versus humans – it’s AI + humans.

In a world obsessed with the promise of automation, it’s all too easy to get swept up in the belief that AI can do it all.