The Secret to Winning Enterprise AI: Make AI That Makes Jobs Suck Less

by James Briggs, CEO AI Collaborator

Recently, I invited one of AI Collaborator's enterprise clients to join an all-hands session with our team. I wanted everyone at AI Collaborator to hear directly why this client chose to work with us over both internal teams and external vendors and what truly matters in today's fast-moving, noisy AI landscape.

During our wide-ranging discussion, the client shared many valuable insights on what it takes to build AI that truly matters in the enterprise, is exploding but internal capacity is often stretched thin. But one line stood out and still echoes days later. When I asked what he appreciated most about working with AI Collaborator, he replied:

"AI Collaborator delivers AI that makes my job suck less."

Now, that's not the sexiest thing to be known for in an often overhyped industry, but it cuts through the noise. And frankly, it sums up our intentions as a company quite well. At AI Collaborator, we don't seek to build flashy tools that change the AI world for the sake of it. We strive to develop AI that helps real people get real work done and makes their jobs feel less frustrating in the process.

In our conversations over the past two years, whether in private meetings or during interactions at conferences like Ai4, we've seen the same patterns emerge. There's a mix of urgency, anxiety, and excitement, and both enterprise leaders and frontline managers alike are asking the same questions:

Where do we start? How do we prioritize? How do we actually win with AI?

The answers aren’t buried in strategy decks or a groundbreaking LLM. It's deceptively simple:

Stop overcomplicating AI. Start delivering tools that make people's jobs easier, faster, and less frustrating.

Here are four practical ways to course-correct and put your organization on a path to winning more AI battles:

1. Start Where The Work Gets Done

Go to your doers. Start with the managers known for getting things done. Ask them: What's slowing you down? Chances are, they've been wrestling with the same inefficiencies long before GenAI and ChatGPT came along, and now they finally see a path to solving them. Trust your people. If they believe AI can help them be more productive, give them the space to try.

2. Build Trust Before Building Anything Else

Let's acknowledge it: people are hesitant to trust AI. According to Forbes Advisor, 77% of Americans worry AI will cost jobs in the next year. A YouGov poll found nearly half believe AI could eventually attack humanity.

In this environment, adoption won't happen by force. Instead, invest in discovery phases where individuals and teams help shape the solution from the start to build trust and buy-in. People are far more likely to use a tool they had a hand in creating. In our experience, collaborative design almost always leads to stronger adoption and sustained use.

3. Collaborate to Accelerate

Don't go it alone. The "we must build everything ourselves" mindset is outdated. Internal resources alone won't be enough to keep pace with the speed of change in AI or the growth in demand. Instead, build AI-Agility through collaboration.

Leverage innovative partners to help close your internal gaps. For example, AI Collaborator's global ecosystem of AI solutions and service providers provides clients with on-demand access to pre-vetted partners from over 60 countries.

A recent MIT study found that AI initiatives executed with external partners were twice as likely to succeed compared to those built in-house. These partnerships drive faster time-to-value, lower costs, and better alignment with actual workflows.

4. AI Demand Management Requires AI Innovation

For most enterprises, demand for AI use cases has skyrocketed over the past two years. While executive enthusiasm has pushed AI to the top of the IT priority list, that surge has also created chaos for tech leaders struggling to prioritize and deliver at scale.

The answer isn't to slow down demand, it's to bring structure to it. AI-native tools purpose-built to solve AI-specific challenges are becoming essential in enterprise tech stacks. That's why we built MARCO™, our first-of-its-kind AI Demand Management Platform.

MARCO is an agentic AI platform designed to help enterprises organize the flood of use cases and deploy them responsibly, with the governance and transparency necessary to scale while integrating with critical legacy systems, workflows, and processes.

Final Thought:

Enterprises don’t win AI wars by chasing hype—they win by making work suck less. Do that, and everything else falls into place.

If you're ready to make AI that makes people's jobs suck less, AI Collaborator is here to help. Let’s cut the complexity and start creating real impact!