By Dr. Tim Sandle
SCIENCE EDITOR
DIGITAL JOURNAL
December 11, 2025
Amazon logistics center: — © AFP SETH HERALD/File
Artificial intelligence continues to be of value to the global economy. It is estimated related technologies could automate up to 70% of activities done by employees. According to a report by McKinsey, generative AI has the potential to automate between 60% to 70% of the work that most of us engage in every day, particularly with regard to the work done by those working within sales and marketing, customer service, software engineering, and research and development.
The challenge for most companies is deciding what should stay in human hands and what is better to be automated, along with the inevitable job losses. Goldman Sachs reports that “two-thirds of occupations could be partially automated by AI.”
For those seeking to introduce AI into an organisation, what are the optimal ways by which professionals can optimise their workflows using AI in key departments? To help answer these questions, Digital Journal canvassed the views of Vahan Poghosyan, co-founder and CEO at Linkee and Maria Harutyunyan, co-founder and head of SEO, Loopex Digital.
We Reduced Lead Response Time by 60% with Artificial Intelligence
Poghosyan shared how artificial intelligence showed tangible results in the sales department, by citing a recent example: “We managed to cut our response times by 60% which means we can now focus on the leads that really matter. The system evaluates every new inquiry, checking metrics like intent signals and past engagement, and automatically routes high-potential leads to the right sales rep. It’s been a real game-changer for us, and I think other teams exploring possible automation in sales could see similar results.”
Artificial Intelligence Helped Us Save Over 1 hour per Candidate Screening
Harutyunyan explained how artificial intelligence improved their candidate screening, noting: “We recently had a job opening for a Technical SEO Specialist position, and used automation tools in the CV screening process. With a few preset criteria like skills and experience, we now save about 1 hour 15 minutes per role – time we used to spend manually reviewing around 150 applications, about 30 seconds each. Having more time to focus on the right candidates made all the difference. It’s actually one of the reasons we were able to grow our team by 50% this year.
Automation Helps Us Cut Video Creation Time from 2 Days to 40 Minutes
Poghosyan then clarified how automation streamlined his firm’s video production process: “When we need a short promo video, we just feed the script into an AI video tool, and it gives us a polished clip as an output! That would’ve taken approximately 2 days between scripting, editing, and feedback rounds before, and now it takes around 40 minutes. We can now focus more on what really matters – figuring out the story we want to tell and testing how people respond to it.”
December 11, 2025
Amazon logistics center: — © AFP SETH HERALD/File
Artificial intelligence continues to be of value to the global economy. It is estimated related technologies could automate up to 70% of activities done by employees. According to a report by McKinsey, generative AI has the potential to automate between 60% to 70% of the work that most of us engage in every day, particularly with regard to the work done by those working within sales and marketing, customer service, software engineering, and research and development.
The challenge for most companies is deciding what should stay in human hands and what is better to be automated, along with the inevitable job losses. Goldman Sachs reports that “two-thirds of occupations could be partially automated by AI.”
For those seeking to introduce AI into an organisation, what are the optimal ways by which professionals can optimise their workflows using AI in key departments? To help answer these questions, Digital Journal canvassed the views of Vahan Poghosyan, co-founder and CEO at Linkee and Maria Harutyunyan, co-founder and head of SEO, Loopex Digital.
We Reduced Lead Response Time by 60% with Artificial Intelligence
Poghosyan shared how artificial intelligence showed tangible results in the sales department, by citing a recent example: “We managed to cut our response times by 60% which means we can now focus on the leads that really matter. The system evaluates every new inquiry, checking metrics like intent signals and past engagement, and automatically routes high-potential leads to the right sales rep. It’s been a real game-changer for us, and I think other teams exploring possible automation in sales could see similar results.”
Artificial Intelligence Helped Us Save Over 1 hour per Candidate Screening
Harutyunyan explained how artificial intelligence improved their candidate screening, noting: “We recently had a job opening for a Technical SEO Specialist position, and used automation tools in the CV screening process. With a few preset criteria like skills and experience, we now save about 1 hour 15 minutes per role – time we used to spend manually reviewing around 150 applications, about 30 seconds each. Having more time to focus on the right candidates made all the difference. It’s actually one of the reasons we were able to grow our team by 50% this year.
Automation Helps Us Cut Video Creation Time from 2 Days to 40 Minutes
Poghosyan then clarified how automation streamlined his firm’s video production process: “When we need a short promo video, we just feed the script into an AI video tool, and it gives us a polished clip as an output! That would’ve taken approximately 2 days between scripting, editing, and feedback rounds before, and now it takes around 40 minutes. We can now focus more on what really matters – figuring out the story we want to tell and testing how people respond to it.”
Key Recommendations
In terms of learning from these case studies and applying them to multiple business settings, Poghosyan provided the following business tips:Look for tasks that slow down your team. Typically, it involves tasks such as lead scoring, CV screening, or content creation.
Measure how much time and effort it takes to complete a task without artificial intelligence.
Run small-scale tests with automation tools that can automate those tasks.
Conduct recaps with your team, discussing the results of the testing.
If automation reduces costs or time compared to manual work, integrate it into your regular process.
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