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5 Practical Ways Technology Leaders Are Getting Hands-On with Transformational Tools
Unlock proven AI workflows to drive business impact—without the jargon. From browser automation to spreadsheet insights, here’s how C-level and product leaders are deploying the latest tools right now.
Why This Matters for Digital Leaders in 2025
In the new AI-powered workplace, C-level executives and tech decision-makers need more than demos; they need practical, ROI-driven ways to embed the latest tools directly into business operations. This article spotlights how agentic browsers, spreadsheet AI, and automation frameworks can be directly applied by product, engineering, and growth teams—without fluff or jargon.
1. Audit User Journeys with Agentic Browsing (Perplexity Comet)
How to use:
Deploy Perplexity Comet to walk through your web onboarding, checkout, or product flows.
Ask it to sign up, narrate each step, and audit for friction or confusion.
Business Impact:
Identify points of dropoff or confusion that could cost your business users or revenue.
Accelerate QA and usability audits without needing a manual tester.
Pro Tip:
Write prompts such as “Pretend you’re a new user. Sign up, narrate what you see, and suggest one conversion improvement per screen.
”
Watch Out:
Automated recommendations may overlook subtle emotional cues—validate critical UX decisions with real users.
2. Extract Insights from Any Spreadsheet with Google Sheets AI Function
How to use:
Use the
=AI()
function to summarize, score, or categorize any dataset in Sheets.Example:
Quickly tag customer feedback as positive/negative, or draft templated follow-up emails
.
Business Impact:
Reduce hours spent on data clean-up or sorting by automating with natural language prompts.
Speed up reporting or analytics for decision meetings.
Pro Tip:
Stack AI functions in Sheets for chained automation—one column tags sentiment, next column drafts email responses.
Watch Out:
Review automated outputs for sensitive correspondence; not all language nuances will be understood by the AI.
3. Create Executive-Ready Customer Videos with Google Veo 3
How to use:
Generate customer testimonial or pitch videos by plugging scripts and style prompts into Google Veo 3.
Automate the process using Gemini or trigger video builds from real feedback in Sheets.
Business Impact:
Rapidly turn social proof and customer success stories into publishable media.
Test multiple video CTAs or themes without relying on agencies.
Pro Tip:
Use detailed scene, subject, and style prompts for higher quality AI-generated videos—combine with audio scripting for brand alignment.
Watch Out:
Test final videos for brand tone and compliance before publishing externally.
4. Automate Status Checks with Claude + MCP Servers
How to use:
Set up Claude AI connectors with MCP servers to automatically fetch status updates from Jira, Linear, or internal tools—no login required.
Query project state or blockers with one question in Slack or your browser.
Business Impact:
Dramatically reduce context-switching and project management bottlenecks for tech leaders.
Stay informed about live project blockers or progress without hopping platforms.
Pro Tip:
Build filtered queries (e.g., "Flag all stories in QA for over 2 days
") to surface only the most critical updates.
Watch Out:
Ensure integrations follow your org’s security guidelines; sensitive data may need extra permissions.
5. Additional Workflow Ideas to Try
Test your content for C-level clarity using custom Google Gems before wide sharing.
Generate engineering process optimization reports using tools like Grok.
Automate competitor analysis and LinkedIn data tables in Genspark.
Launch fast, AI-powered voice onboarding with ElevenLabs.
Instantly build or update executive-level resumes from your LinkedIn profile in one shot.
Deploy Airtable mini-apps for live OKR tracking and executive dashboards.
What’s Next?
Expect even more frictionless integration between generative and agentic AI, your daily productivity stack, and live business impact in the next 12–18 months. The most prepared leaders are already prototyping, automating, and cross-skilling their teams—daily.
Takeaway
Start piloting agentic browser tools and spreadsheet AI for real productivity gains and rapid feedback.
Integrate generative AI into existing product, marketing, and operations workflows—not as a side project, but as a standard toolkit.
Build org-wide playbooks (with clear “Pro Tips” and “Watch Outs”) so teams can deploy and iterate on these tools safely and quickly.
— by Dr. Hernani Costa at First AI Movers | Join the conversation on LinkedIn
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