Our Take
Tying AI adoption to relief from actual work, paired with a mandatory tradeoff for the freed time, cuts through the 'just use it' playbook that leaves most AI pilots stalled.
Why it matters
47% of U.S. employees now use AI at work (per Gallup), yet organizations struggle to move from adoption to impact. A concrete playbook from a company that made it stick matters because most HR teams are still fumbling the rollout.
Do this week
HR leaders: identify one repetitive task your sales or operations team spends 2+ hours per week on, pilot an AI tool to automate it, and define what the freed time funds (training, new project, bonus) before launch.
OmniCable automated quote intake and made adoption stick
OmniCable's sales team spent significant time pulling quote requests from customer emails and preparing quotes. Cora Walker, the company's CHRO, designed a pilot: a tool would scan email, extract the request, and feed it to the salesperson for review and submission.
Instead of a soft launch, Walker made the tool mandatory. The catch: the time saved had to be spent on something the company needed, not reclaimed by the employee. The pitch was direct. "We're going to make you use it. Are you going to pay me to use it? Absolutely." The payoff: every hour not spent quoting went to training on a new product or an ERP migration project.
Word spread. The pilot group saw the value and talked to peers before management did. Subsequent pilots grew the same way. Employees learned from each other, not from HR memos.
Burden relief plus mandatory reallocation beats 'just use it'
Nearly 40% of employees say their organization has integrated AI to improve productivity and efficiency (per Gallup). That leaves 60% in organizations where AI sits unused or deployed without clear friction reduction.
The gap is not technology. It's adoption psychology. OmniCable's model answers the unspoken objection: "Why should I change my workflow?" The answer isn't speed or cost savings the company pockets. It's time the worker spends on something they value (training, a high-priority project, even money). The mandatory reallocation ensures the company's gain is real, not speculative.
This also prevents the most common failure mode: automation that sounds good in a dashboard but creates resentment because freed time becomes unpaid slack. OmniCable named the tradeoff upfront.
Start with one painful, measurable task
The model has three steps, and the first one is hardest: pick something that genuinely costs your team time and that you can quantify.
Second, run a small pilot with transparent rules. No ambiguity about what the tool does, what the employee still owns (accuracy check, final sign-off), or what happens to the time saved. Make the reallocation specific: training, a project, a bonus, flex time. Not "productivity gains."
Third, let the small group evangelize. Peer validation moves faster than top-down mandate. If the pilot succeeds, scale the same way: next cohort, then next.
The biggest mistake is deploying AI broadly without first proving you've addressed the friction that stopped adoption in previous tool rollouts. OmniCable proved the friction first with salespeople and the quote task. That's why the spread was organic, not forced.