Yearly, Viewers Audit publishes a examine on what company purchasers really need—and the 2025 version revealed a stat that ought to cease any company chief of their tracks: 77% of purchasers say they’re extra prone to rent an company that’s a acknowledged AI knowledgeable (not simply self-proclaimed). However solely 32% consider their present company matches that description.
Right here’s what’s extra telling: When requested what they anticipate from their company in terms of AI, purchasers didn’t say “effectivity” or “cheaper deliverables.” They need new concepts, sharper evaluation, and actual steering on the right way to use AI themselves. In different phrases, they’re not simply on the lookout for businesses that use AI. They need companions who know the right way to assume with it.
At Quantious, being “AI-fluent” isn’t a task, it’s a workforce customary. Each producer, strategist, and designer is predicted to not simply sustain, however lead. And we don’t simply discuss it in pitches, we follow it each day.
Wish to construct actual AI fluency throughout your workforce? Listed below are 5 methods we’ve made it a part of our on a regular basis work.
1. Spend money on skilled improvement prefer it’s our job (as a result of it’s)
Skilled improvement isn’t a once-a-year checkbox right here, it’s a cultural worth. We funds for AI programs, certification applications, and conferences as a result of we consider time spent studying is time properly spent. We’ve inspired workforce members to deal with all the pieces from AI advertising and marketing bootcamps to constructing apps with vibe-coding instruments like Replit, Lovable, Replay.io, or Base44 (Significantly, one venture lead with no coding background simply constructed his personal app!).
We consider in fostering a tradition of experimentation, and to some, our strategy appears to be like slightly dangerous. After we put money into our workforce members’ skilled improvement, we all know it’s not all the time going to immediately translate to worth for our purchasers. However guess what? Innovation stems from studying and exploring, and that’s precisely how our groups find yourself forward of the developments, each time.
2. Host team-led AI workshops
Our favourite AI tipsters are one another. When a workforce member cracks a brand new use case—like constructing out a customized GPT, or utilizing AI to develop complicated Excel formulation—they host inside workshops to share what they’ve realized. We’ve had workshops on all the pieces from AI product picture era to deepfake identification. We doc our processes, document fast tutorials of what we’ve realized, and purpose to maintain information transferring quick.
3. Encourage experimentation on dwell work
We don’t deal with AI like a lab venture. We construct with it each day. Designers take a look at format variations with picture era instruments. Advertising producers use AI to drag analysis for model sentiment audits or to map out person journeys. Copywriters flip notes into outlines, organizing their ideas earlier than drafting. We’ve realized the right way to craft significant prompts, the right way to develop our personal brokers, and the right way to construct out some critically complicated spreadsheet formulation utilizing AI. We automate time-consuming processes, utilizing Bluedot, Slack, and Limitless to transcribe firm assembly notes in actual time. We use these instruments with our brains, not as a substitute of them.
In each side of our work, we do not forget that AI is a collaborator, not a substitute for laborious work and creativity. Say it with me: You can’t simply try and have AI do all of it for you. (Simply ask Randy Marsh of South Park; it doesn’t finish properly!)
4. Deal with AI security and utilization pointers as a dwelling doc
AI is transferring quick, and so are the conversations round security, safety, and moral use. That’s precisely why we deal with our AI pointers as a piece in progress, as a substitute of a static rulebook. Management actively invitations enter from throughout our workforce to flag new dangers, counsel safeguards, and share greatest practices.
AI accountability is a shared strategy we take, and we need to guarantee everybody has a task to play in mitigating knowledge privateness and bias. This has led us to embrace a wiser, safer, and extra considerate AI follow that evolves together with the tech.
5. Assist purchasers navigate the AI maze
AI instruments are evolving each day—and most of our purchasers are attempting to make sense of what’s price their time, what’s safe, and what truly works. The actual worth lies in making AI really feel much less overwhelming, and extra actionable.
That’s why it’s important to not simply use AI to drive inside efficiencies, however to assist purchasers make it work for them in their very own workflows. Whether or not it’s creating customized GPTs, mapping out automated content material workflows, or guiding groups via immediate technique, we deal with AI as a collaborative layer within the consumer relationship.
And we’re clear about it. When AI performs a task in our work, we clarify how, why, and what it means for the outcomes. That readability builds belief and helps future-proof our purchasers’ groups.
Our job isn’t simply to use AI—it’s to assist our purchasers perceive it, apply it responsibly, and keep forward of the curve. That’s the place the true worth is.
The way forward for artistic work isn’t going to be pushed by opening up a browser tab and launching ChatGPT. It’s going to be pushed by people who can automate a tedious high quality assurance course of, use AI to identify model inconsistencies throughout campaigns, or extract insights from uncooked buyer suggestions, safely. As a result of realizing when to not use AI is simply as essential as realizing how.
Lisa Larson-Kelley is founder and CEO of Quantious.
