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From enterprise consulting and event design to public relations and commercial real estate, business leaders are using AI to eliminate workflow bottlenecks, improve decision-making, and free professionals to focus on high-value work.
Artificial intelligence is no longer simply a question of technology; it is now a question of workflow. The organizations realizing the greatest value from AI are not necessarily those with the largest budgets or the most sophisticated tools. Instead, they are the ones identifying where processes break down, where time is lost, and where AI can remove friction.
Whether in enterprise consulting, event design, public relations, aerospace systems, or commercial real estate, business leaders are using AI to streamline operations, standardize information, and enable employees to focus on work that requires human judgment.
Solving Process Problems Before Technology Problems
For Dippu Kumar Singh, Leader of Emerging Technologies at Fujitsu North America, technology challenges often reveal deeper operational issues.
“When we actually uncover those problems, it’s not exactly the usage of the tool. It’s mostly related to the business process, which is making them stuck. Sometimes the data they were thinking would be centralized: that compatibility is not there, and they probably chose the wrong tool,” Singh said.
Fujitsu’s AI initiatives focus on identifying those underlying bottlenecks and creating more efficient workflows. In one engagement, AI dramatically reduced the time required to estimate a complex architectural data pipeline.
“Earlier I used to estimate 40 hours for the same complex job. Now I don’t even estimate 40 hours; it has come down to maybe 16 hours, max to max, and that too with testing. AI rolls up your sleeves and makes your efficiency gains,” Singh stated.
The company is also using AI to create consistency across departments.
“We had five different departments and each one used to derive profit with their own individual logic. If that data rolls up to the CIO or CFO, just imagine their pain point: everyone is probably speaking the same term but in different languages. AI creates that standardization and brings teams together,” Singh added.
Making Custom Design More Accessible
At Katie J Design and Events, Founder and CEO Katie Lynch used AI to address a long-standing scalability problem. For over a decade, custom design work required extensive manual effort, making personalized products too expensive for many customers. AI-powered tools integrated through OpenAI changed that equation.
“There’s no way that families and mums, which is what it’s designed for, could afford design fees of $500 for a one-off party. Now they can see it, they can generate it, and they’re in control of what gets created,” Lynch said.
While AI now assists with customer interactions, she maintains a human review process.
“I will never automate it; there will always be someone before that message gets sent. I tried it for about 24 hours, and I nearly pulled out my hair. It was telling people it’s going to deliver things tomorrow. To take five seconds to check it before send is hit just seems like a no-brainer,” Lynchnoted.
The efficiency gains have also allowed her to build new initiatives.
“I had it done in two weeks; two hours here, two hours there, creating everything from the asset folders to the templates to the password-protected portals. Having that extra brain going, ‘hey, you’ve missed this, and don’t forget this’; it was turning a lot of knowledge into structure,” Lynch added.
Replacing Operational Friction with Real-Time Intelligence
For Jessen Gibbs, Founder of Shadow, AI’s value lies in eliminating inefficiencies that consume significant time and resources.
“The biggest friction is really in that handoff period. Based on our work, we’ve seen it takes up about 30% of billable hours. In the agency scenario, they strictly run on billable hours; that’s their entire business model. That’s 30% of their revenue effectively tanked by back office operations,” Gibbs said.
Shadow combines media, social, and AI citation data into a unified narrative graph, enabling PR teams to respond more quickly.
“We can respond daily instead of acting on a built-out plan. Every single day, we monitor across every part of the narrative space to figure out what needs to happen on that day to hold that position and move toward it instead of sequencing pitches you planned two months ago,” Gibbs shared.
The rise of AI-powered search has also elevated the importance of earned media.
“Earned media has become more significant than it ever has, because it’s a proof metric or a credibility metric for these LLMs. Your publication may have a reach of 10 or 20 million viewers. ChatGPT has a reach of 400 million,” Gibbs added.
Using AI as a Force Multiplier
James Sheridan, CEO of Sheridan Systems, approaches AI through the lens of reliability and quality assurance.
“My core philosophy on AI is that it should not replace a human; it should be a force multiplier. Since it’s so easy to use and so autonomous, we should be covering our gaps with it,” Sheridan said.
His company deploys highly specialized AI agents that perform narrowly defined tasks.
“I would rather have a hyper-focused AI agent than 20 that do one specific thing very well. A lot of the AI agents I use are automations that have an LLM as one module, but they only do one thing in a very deterministic way. If the input is different every time, your output is going to be different every time, and that doesn’t work well in automation,” he explained.
Sheridan also emphasizes governance and oversight.
“One of the most important things for AI that people aren’t doing is putting in guardrails. I give it read-only access to certain things and run it inside a virtual machine, not on my actual desktop. Controlling its level of authority matters, but so does having it be very focused,” Sheridan added.
Giving Analysts More Time to Analyze
In commercial real estate, Smart Capital Center is applying AI to reduce manual data-entry workloads.
“Instead of an analyst spending all their time on data entry, we pull from your PDFs, Excels, handwritten notes, screenshots, put that into a proper file format, standardize it into a single chart, and then create: here are the key flags, here are the key issues. Really bringing down those manual hours so they can focus on what they were actually hired for: analyzing,” said Masoom Desai, Marketing Manager.
The company’s AI assistant, Smarty, keeps decision-making in human hands.
“AI suggests, but the analyst decides. We will always give you ‘maybe you need to look into this, ‘ but at the end of the day, it’s the analyst making those final calls. The moment you see ‘humans will make the final call,’ it gives you some sense of peace,” Desai noted.
According to him, the productivity improvements are significant.
“JLL has seen a 30 times productivity gain. KeyBank sees 40% less time spent to create a financial model. Moody’s credit memo took 40 hours previously; it’s taking two minutes. PNC had a 200-page agreement formed within 25 seconds,” Desai added.
Closing Workflow Gaps
Across sectors, organizations are achieving measurable results not by replacing employees, but by eliminating the workflow friction that prevents them from performing at their highest level. Whether the challenge is inconsistent data, manual entry, lengthy handoffs, or quality-control bottlenecks, AI is proving most effective when deployed to close operational gaps.
