Create onboarding wizards that actually change behavior

Every day your new Account Executive isn't performing at full capacity represents thousands in lost revenue. Yet most organizations treat AE onboarding as an afterthought—handing over login credentials, a brief product overview, and hoping for the best.

In fast-moving sales orgs, getting new hires up to speed quickly isn't optional — it's survival. But creating documentation and onboarding materials is tedious, time-consuming, and often out of date before the quarter ends.

Revenue leaders are always looking for ways to speed up onboarding and reduce the time it takes for new sales reps to reach full productivity. But if you're only looking at ramp time in hindsight—once a rep is already struggling—you're missing your most powerful opportunity to course-correct early and protect pipeline before it's impacted.

Let’s be honest: that stack of dusty training binders and those one-size-fits-all videos aren't just boring your revenue teams. They're actively hurting your company's performance. This isn't just a hunch; it's a direct hit to your bottom line.

The experimental phase is over. AI in revenue operations has crossed the chasm from "nice to have" to "must have." Recent research shows that 68% of RevOps professionals predict AI will be embedded in most revenue software by 2025. More telling? Organizations already running AI-driven RevOps are seeing 15-30% improvements in forecasting accuracy.

Ask any RevOps practitioner what’s hardest about their job, and you’ll hear the same answer: getting teams aligned. In fact, 23% of RevOps professionals say poor process alignment is their single biggest challenge.

Your RevOps tech stack has become a monster. With over 14,000 marketing technology products flooding the market in 2024 alone, the average enterprise now juggles 15+ disconnected tools. The result? A staggering 42% revenue leakage from operational inefficiencies.

The “growth at all costs” era is over. Flat or shrinking budgets are the reality in 2025, yet revenue targets aren’t moving down. That pressure has forced RevOps leaders to shift focus: less headcount expansion, more efficiency.

Revenue teams face a simple dilemma in 2025: growth targets are up, but building a full in-house RevOps team is often out of reach. Qualified RevOps talent is scarce, expensive, and takes months to hire.

Most go-to-market teams invest serious effort into defining their Ideal Customer Profile (ICP). They segment by industry, revenue, company size, and geography. They map personas to titles and levels of seniority. On paper, the work looks complete. In practice, many teams still struggle to convert.

Founders can’t resist showing off their TAM, SAM, and SOM slides to prove the size of their market. What if I told you those acronyms are keeping most founders blind to their real market?

In fast-moving sales orgs, getting new hires up to speed quickly isn't optional, it's critical for success. But creating documentation and onboarding materials is tedious, time-consuming, and often out of date before the quarter ends.

Your engineering team is shipping faster than ever. Your customer success team has response times down to minutes. Yet when you look at training ROI, the numbers don’t add up.

Getting sales reps to adopt new processes or use your tech stack correctly is a constant operational challenge. Inconsistent onboarding kills productivity, low CRM adoption tanks your data integrity, and rolling out process changes can feel like shouting into the wind.

Customer support teams are drowning. The average company now handles 67% more support tickets than they did five years ago, with each ticket costing between $15-25 to resolve. Meanwhile, customers are getting more frustrated with wait times that stretch beyond acceptable limits.

The AI video creation market exploded in 2025, with dozens of new tools promising to revolutionize how companies create training content. But here's the problem: not all AI video tools are built for enterprise needs. While some work great for quick social media clips, they fall apart when you need security compliance, workflow automation, or scalability for thousands of employees.

Training your team shouldn't feel like running a small film studio. Yet that's exactly what many companies face when creating how-to videos. A recent study found that enterprises spend an average of 23 hours creating a single training video manually – time that could be better spent on strategic initiatives.

Creating training videos with AI tools is incredibly efficient, but there's one big challenge most companies face: the content often sounds generic and doesn't reflect their unique brand personality. You've probably experienced this yourself – watching an AI-generated training video that technically covers all the right information but feels completely disconnected from your company's culture and communication style.

Starting a new job can feel overwhelming. Between learning company policies, mastering new software, and understanding role expectations, new employees often struggle to become productive quickly. Here's a sobering statistic: 88% of organizations don't onboard employees well, costing businesses a staggering $37 billion annually according to Brandon Hall Group research.

Did you know that 76% of global companies struggle with language barriers in their training programs? When your team spans multiple countries and languages, creating effective training content becomes a real challenge. Traditional approaches often leave non-native speakers behind and fail to accommodate employees with different accessibility needs.