Desky started because the standing desk market forced customers into a false choice between budget desks that wobbled at height and premium office furniture that felt generic, slow to buy, and disconnected from real ergonomic needs. We built a direct-to-consumer brand around stable frames, dual and single motor lifting systems, hardwood and laminate desktops, compact and corner options, and accessories like monitor arms, cable management, and desk risers so a customer can create a complete workstation rather than just buy a table.

What makes us genuinely different is that we treat the desk as the center of an ergonomic system, not a commodity, and we back that with quiet smooth lifting, programmable height controls, ergo-edge desktops, air-lift options, industry-leading warranties, and commercial support for offices that need tailored rollouts. That combination matters because a remote worker wants a stable desk that fits a spare room, while an enterprise client needs a repeatable solution across dozens or hundreds of workstations, and both deserve the same level of fit and reliability.

Today most of our new business comes from direct online discovery through search and our website, repeat purchases, and word of mouth from remote workers and small teams who want a better home office, with a growing share from commercial inbound leads in Australia and North America. Customers often arrive after comparing specs like motor type, height range, wobble control, and warranty length, which means our sales conversations start with informed buyers rather than cold introductions.

I wish more of our new business came from proactive enterprise partnerships where facilities managers, HR leaders, and workplace wellness teams bring us in early to design full office rollouts, because that lets us match desks, seating, and accessories to how teams actually work instead of selling one desk at a time. That would shift us from reacting to individual demand to shaping ergonomic workspaces before furniture decisions are locked in.

In the last year I have handed over first-draft customer follow-ups, internal product summaries, and CRM note cleanup to AI, because it can quickly turn technical details like dual motor versus single motor, height range, lifting speed, and warranty terms into clear starting points for my team. That has saved time on repetitive writing and helped us keep our commercial messaging consistent across different desks, chairs, and accessories.

I tried using AI for complex enterprise proposals and relationship-based negotiations, but I went back to doing those the human way because trust, nuance, and reading a room cannot be automated. A proposal for a 200-person office rollout involves budget cycles, facilities constraints, employee feedback, and internal politics, and those conversations need a person who can listen, adapt, and take responsibility for the recommendation.

Customers are arriving much more informed than they were a few years ago, often knowing to ask about dual motor versus single motor frames, wobble control, programmable height presets, ergo-edge desktops, air-lift systems, and whether a compact or corner desk fits their floor plan. They have usually read reviews, compared warranties, and watched setup videos before they contact us, so the first conversation is less about explaining what a standing desk is and more about confirming fit, stability, and long-term value.

I have seen a small but real number of people mention that an AI assistant like ChatGPT helped them shortlist standing desk brands, compare features, or draft questions, but it is not yet a major direct channel for us. It is more of an invisible research layer that shapes the questions they ask and the options they already know about by the time they reach our site or speak with our commercial team.

I would tell them to become the most trusted guide in an AI-mediated market by doubling down on human consultative expertise while making their product data clean, structured, and easy for AI tools to understand, because buyers will increasingly arrive with AI-generated shortlists and expect brands to confirm the right fit. That means clear specs for motor type, height range, weight capacity, warranty, assembly, and accessory compatibility, plus salespeople who can translate those specs into a real workspace recommendation for a home office, a hybrid team, or a full enterprise rollout.

I would tell them to ignore chasing every shiny AI gimmick or replacing salespeople with chatbots, because furniture decisions still depend on trust, fit, and understanding how someone actually works. The brands that win will use AI to speed up research, drafting, and data hygiene, but keep humans in charge of relationships, negotiations, and the final recommendation.