Yearly, Audience Audit publishes a examine on what company purchasers actually 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 more likely to hire an company that’s a acknowledged AI skilled (not simply self-proclaimed). However solely 32% consider their present company suits 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 steerage on find out how to use AI themselves. In different phrases, they’re not simply searching for businesses that use AI. They need companions who know find out how to assume with it.
At Quantious, being “AI-fluent” isn’t a task, it’s a crew normal. Each producer, strategist, and designer is anticipated to not simply sustain, however lead. And we don’t simply discuss it in pitches, we apply it day-after-day.
Wish to construct actual AI fluency throughout your crew? 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 price range for AI programs, certification applications, and conferences as a result of we consider time spent studying is time nicely spent. We’ve inspired crew members to deal with every little thing from AI marketing bootcamps to constructing apps with vibe-coding instruments like Replit, Lovable, Replay.io, or Base44 (Critically, one mission lead with no coding background simply constructed his personal app!).
We consider in fostering a tradition of experimentation, and to some, our strategy seems to be somewhat dangerous. After we spend money on our crew members’ skilled improvement, we all know it’s not at all times 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 traits, each time.
2. Host team-led AI workshops
Our favourite AI tipsters are one another. When a crew member cracks a brand new use case—like constructing out a personalised GPT, or utilizing AI to develop complicated Excel formulation—they host internal workshops to share what they’ve discovered. We’ve had workshops on every little thing from AI product picture era to deepfake identification. We doc our processes, file fast tutorials of what we’ve discovered, and goal to maintain information transferring quick.
3. Encourage experimentation on dwell work
We don’t deal with AI like a lab mission. We construct with it day-after-day. Designers take a look at format variations with picture era instruments. Advertising and marketing producers use AI to tug analysis for model sentiment audits or to map out person journeys. Copywriters flip notes into outlines, organizing their ideas earlier than drafting. We’ve discovered find out how to craft significant prompts, find out how to develop our personal brokers, and find out how 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 an alternative of them.
In each side of our work, we do not forget that AI is a collaborator, not a alternative for exhausting work and creativity. Say it with me: You can’t simply take a look at and have AI do all of it for you. (Simply ask Randy Marsh of South Park; it doesn’t finish nicely!)
4. Deal with AI security and utilization tips 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 tips as a piece in progress, as an alternative of a static rulebook. Management actively invitations enter from throughout our crew to flag new dangers, counsel safeguards, and share finest practices.
AI accountability is a shared strategy we take, and we need to guarantee everybody has a task to play in mitigating information privateness and bias. This has led us to embrace a wiser, safer, and extra considerate AI apply that evolves together with the tech.
5. Assist purchasers navigate the AI maze
AI instruments are evolving day by day—and most of our purchasers are attempting to make sense of what’s price their time, what’s safe, and what really works. The true worth lies in making AI really feel much less overwhelming, and extra actionable.
That’s why it’s very 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 by immediate technique, we deal with AI as a collaborative layer within the shopper 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 figuring out when to not use AI is simply as essential as figuring out how.
Lisa Larson-Kelley is founder and CEO of Quantious.
