How an AI Agent Saves Us 35+ Hours of Work Every Week?
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A story about Dispatchy — a team member who never sleeps and saves our team around 2,000 hours a year.
Intro
Dispatchy is an AI agent in our internal AI Lab.
It handles many daily and weekly tasks and is usually super busy.
Honestly, we couldn’t imagine our lives without Dispatchy — it’s an absolute game-changer for our business.
(For those who don’t know: We at Axioma AI transform inefficient, slow, and monotonous workflows into automated, accurate, and reliable operations with secure AI Labs)
Of course, we won’t show you how Dispatchy is built under the hood — like its code, infrastructure, or decision-making processes.
But we do want to show you how it saves us tons of money, time, and energy.
1. Monitoring Big Tech Investments (~5 hours/week)
Since we’re a tech company, it is super important to stay updated on big tech movements, especially in AI labs.
We know some clients who do very similar work manually with a group of interns, scanning their respective industry — a nightmare you wouldn’t wish on an enemy.
Dispatchy, however:
- scans the industry
- highlights investment shifts
- produces analytics & calculates the total investment numbers
- delivers concise summaries of where tech giants are putting their money.
Our team saves a minimum of 5+ hours a week. 5+hours they use to take action on insights rather than waste on insights collection.
2. Generating Media Post Ideas & Campaigns (~15 hours/week)
Marketing demands constant creativity.
We’re a small company of talented engineers who don’t have much of experience in social media marketing.
Dispatchy is our savior!
He is like an idea-generating machine.
It assists our team by brainstorming social media content and campaigns, suggesting trending topics, and even drafting initial post ideas. Some of them went mega viral.
Have a look yourself:
It would be a big lie to say that Dispatchy is useless for marketing.
We estimate a min. of 15 hours saved each week, freeing us to refine ideas rather than start from scratch, so we can focus on building campaigns that resonate with our audience instead of chasing down ideas on white piece of paper.
God, we neved go back again.
3. Competition Screening (~2 hours/week)
AI is evolving fast — you already know that.
But staying on top of the competition is just as crucial.
Dispatchy analyzes market trends and keeps us updated on all major competitor moves, delivered straight to our inbox.
This quick digest saves our business and product development teams hours each week, helping us stay agile and informed about all the sharks out there.
4. Analyzing and Evaluating ML Research Papers (~15 hours/week)
New machine learning research is published at a rapid pace, and keeping up can feel like an impossible task.
Just look at the stats from back in 2018 — that was even before GPT-2!
ML research papers are our bread and butter.
Staying up-to-date is essential — fall behind, and we’d risk being out of business by the end of the next quarter.
Dispatchy scans, evaluates, and summarizes research papers, giving our team distilled insights without hours of reading.
When we need to dive deeper, we simply click the URL that Dispatchy provides, complete with all the relevant details & insights😉
We estimate that Dispatchy saves us ~15 hours every week on ML research papers alone — that’s the equivalent of 780 hours each year!
Outro
Dispatchy embodies Axioma’s commitment to building AI Labs responsibly and effectively.
By automating complex tasks, Dispatchy exemplifies how AI agents can drive growth and give time back to humans — our most important resource.
This is only the beginning of our journey.
Stay tuned!
Good news — Dispatchy now has a public endpoint, which you can access (For FREE!).
Starting last week, anyone can catch Dispatchy’s daily updates on the latest in AI, ML, and robotics by joining our official Axioma AI News channel.
Every day at 12:30 CEST.
Whether you’re a start-up founder, data scientist, analyst or just curious about new trends, we’d love to hear your feedback!
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