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Today’s businesses are using artificial intelligence to redesign their workflows, shorten timelines, and optimize growth.
Many business leaders are incorporating artificial intelligence into day-to-day workflows to automate redundant tasks and speed up project development. Rather than viewing AI as a co-pilot, some are using strategic AI approaches to let smaller teams of engineers and employees oversee more projects.
Designing Digital Applications Through AI
Custom software and hardware development firm Vortex Computation applies AI directly to its system design process. Founder and co-owner Jacob Pierce emphasizes AI’s usefulness in identifying project vulnerabilities.
“There’s a relatively common term in software engineering called pre-mortem. It’s the idea that you do the idea and it fails in the future, and then you work backwards from that and say, why did it fail? AI is really good at helping you understand these niche pieces with aggregate data that you just don’t have the experience for, that you would fail.”
For Vortex, this more structural approach means higher precision and a faster output.
Accelerating Execution and Shortening Lifecycles
The rapid development of AI technology has changed how months of work affect growing firms. The consultancy firm Tenhaw has replaced extended timelines with faster scheduling.
“We came in with our AI-native approach and built the whole thing and the next 12-month roadmap in two weeks,” founder James Rooney explains. “The iterative feedback goes from a monthly release to an almost daily release, which is quite an operational challenge on the non-AI side, but it means you’re getting real customer input constantly.”
And not to leave out the human element, Rooney’s enterprise incorporates continuous skill development into their employees’ regular work schedules.
Optimizing Operations With Internal Automation
Companies have also begun using AI to automate internal sales operations and client onboarding. SalesDesk Chief Revenue Officer Ronald Hoplamazian has headed up an effort to build an internal AI-driven platform after vendors presented him with pricey quotes.
The transition has produced notable yields for the company.
“We’ve gone from maybe 10 or 15 FTEs, full-time employees, down to four,” Hoplamazian explains. “We’ve increased the number of clients, and our margins have gone from 20% to SaaS margins, which is north of 80%.”
Addressing the Adoption Issue
Stefan Kalb, co-founder and CEO of Latch, points out that AI isn’t the entire answer and depends on accurate tracking by daily operators. AI lets his teams iterate software at a rapid pace, but always with strong oversight.
“My last company I built up to 200 people, and things would take me six months to deploy. I can now do in a week,” he admits. “Our demo days, we do every Friday at 10 a.m., and every single person in the company has to participate.”
Structuring for a Sustained Competitive Edge
In marketing, automation can speed up both research and response times. SocialPost.ai CEO Gregory Scott Henson notes how automated systems have changed how competitive intelligence is gathered, as well as how customers communicate with his company.
“Customers love it when you respond in under 60 seconds. Before, it would take at least 15 minutes before a human would get back to you,” Henson reports. “And competitor analysis that would take me like four hours on a Sunday is now down to two minutes.”
He advocates integrating AI directly into organizational roles.
AI Strategies for Sustained Growth
By embedding artificial intelligence directly into work systems, many companies are accomplishing more tasks faster, including compressing timelines, improving training metrics for accuracy, and updating team skill sets. Today, businesses use native AI systems to support accelerated growth in an era of constant change.
