\n\t\tOpinions expressed by Entrepreneur contributors are their own.\t<\/p>\n
Every company has an innovation strategy<\/a>. Most are wrong; not because the ideas are terrible, but because they often begin in the wrong places. They often start in a boardroom with a pricey consultant\u2019s presentation, rather than with the person in your prospective customer\u2019s organization who is quietly struggling with a broken process that no one cared enough about to understand or repair.<\/p>\n I learned this by speaking with a woman I met at a user conference several years ago. This is in many ways her story \u2014 what she told me about her job fundamentally informs my perspective on technology, leadership and where real change often comes from.<\/p>\n In a large enterprise<\/a>, close to half of all deals are frequently closed in the very last week of the quarter, many in the final hour(s). Predictably, the sales organization gets the spotlight for landing those deals.<\/p>\n However, behind every signed contract is someone who has to pull information from numerous systems, cross-check with legal, verify with finance and chase compliance threads across dozens of systems. It is complex, high-risk work that is often performed under strict deadlines that couldn\u2019t care less how many threads you\u2019re juggling.<\/p>\n She was one of those people. She processed possibly hundreds of contracts every quarter, and the last two to three weeks in each quarter was working past midnight and waking up early the next day to begin again. She had young kids whom she rarely saw during those periods. The frustrating thing wasn\u2019t that she was bad at her job \u2014 in fact, she was very good at her job. It was the process that would wear people down<\/a>.<\/p>\n She had heard about AI and intelligent automation \u2014 not simple macros but true automation tools that could pull data from other systems, process and analyze that data, and then move forward in a workflow. So without a mandate, without a budget, without asking anyone\u2019s permission, she began to build.<\/p>\n She created what we would now call an AI agent<\/a>. These \u201cagents\u201d took care of the mechanical aspects of her workflow \u2014 pulling documents, processing them for the right data, closing tickets, submitting paperwork and routing for signatures. It changed everything. She was able to focus on complex judgment calls that truly needed her expertise while delegating the busywork. She even gave her creation a name, \u201cConnie,\u201d a play on the word Contract Ops.<\/p>\n The end results were astonishing. She was able to accomplish her work 10 times faster. Not only that, but the quality of her output<\/a> improved. And, most importantly for her, she was able to spend more time with her family during quarter-end.<\/p>\n She didn\u2019t pitch this to leadership. She didn\u2019t submit a formal proposal. Yet, in a matter of days, a team of 20 was using her agent.<\/p>\n And of course they were. The solution quickly rolled through the financial department since the people adopting it were dealing with the same pain. And when a contract can\u2019t get signed in the right quarter, revenue slips. For large enterprises, we\u2019re talking millions of dollars. Her solution didn\u2019t just improve her quality of life \u2014 it directly protected the business.<\/p>\n That conversation has stayed with me over the years. I\u2019ve seen the same dynamic everywhere I\u2019ve led teams. The best innovations<\/a> never start with someone thinking, \u201cI\u2019m going to build something that goes viral across my entire company.\u201d<\/i> They start with one person saying to themselves, \u201cI currently have to do this thing twice every morning, but what if I only had to do it once?<\/i>\u201c<\/p>\n That\u2019s it. It\u2019s that small.<\/p>\n What makes these kinds of solutions so powerful is that the person building them is the domain expert. They understand the work deeply in a way that no consultant<\/a> or executive ever could.<\/p>\n It\u2019s not about knowing software or understanding programming; those skills are almost irrelevant, especially today with the tools we have. It\u2019s about knowing your job extremely well. A lawyer who knows contract law. An ops person who understands procurement. A finance analyst who can reconcile in their sleep. When people solve their own friction, the solution fits because they built it for the reality of the work \u2014 not for some process map on a whiteboard.<\/i><\/p>\n Eventually, they tell a colleague who has the same problem. And it spreads. Not because anyone mandated it. Because it simply makes sense.<\/p>\n That woman in contract ops wasn\u2019t just solving her own problem. She was demonstrating something that most companies still haven\u2019t internalized: The people closest to the work<\/a> are often the ones best positioned to transform it. All they need are the tools that meet them where they are and make sense for them.<\/p>\n This customer-centric idea forms the center of everything we\u2019re building at Sauce Labs. Today, software developers spend huge amounts of time on testing \u2014 writing scripts for complex and simple customer journeys, maintaining them as the software or the environment changes, debugging failures \u2014 a lot of which creates busywork and takes time away from the software that they actually want to write and ship.<\/p>\n It\u2019s the same pattern that gave birth to \u201cConnie\u201d; talented people who are trapped in repetitive tasks that are critical and hard but can and should be automated so that they can focus their time on judgment and creativity.<\/p>\n So we built AI that does exactly that. Sauce AI for Authoring<\/a> lets teams describe what they want to test in plain language and get working code back in minutes instead of spending days writing it. Sauce AI for Insights analyzes test data to surface what actually matters, pointing teams to failures and probable causes instead of leaving them to sift through noise. The goal follows the same principle that the woman showed me at that conference many years ago: Mechanize the mechanical, so humans can do the human work.<\/p>\n My job as CEO isn\u2019t to design those solutions from the top. It\u2019s to make sure that there is nothing in the organization that stands in the way of the people who will. That means allowing people to experiment, making it safe to try things<\/a> that may not work and paying attention to the roles in your organization that are invisible until something breaks.<\/p>\n Because somewhere in your organization right now, there is a person working hours that would appall you, doing work that a machine should be doing, solving it quietly because nobody asked. The question isn\u2019t whether they exist. The question is whether you\u2019ve made it easy enough for their solution to spread \u2014 or whether you\u2019re going to wait until they burn out<\/a> and leave.<\/p>\n<\/p><\/div>\nThe part most never think about<\/h2>\n
Taking initiative<\/h2>\n
Spreading without a mandate<\/h2>\n
The pattern that changed how I lead<\/h2>\n
What this means for leaders<\/h2>\n