Looking for ways to visualize your team structure without PowerPoint? Build an org chart that connects your people and stays up-to-date with Qatalog.

Visualize the structure of your company with an organizational chart  | Qatalog

Organizational Chart | Qatalog

Bring people, teams, and their work together in a structured place.


Visualize reporting lines with dynamic, interactive Org Charts 

Automatically build an interactive Org Chart for your team by inviting your coworkers to join Qatalog. All your data in one central Work Hub. 

Build an Org Chart in seconds

To get set up with Org Charts, we offer Enterprise customers a no-code option to sync their company’s HR directory, directly with Qatalog.

Sync directly with your HR system

Find recent activity, important projects and goals through searchable, detailed people and team profiles. 

See how work fits together

Qatalog powers 6000+ growing distributed teams with a structured place for coordinating work across Projects, Goals, Workflows and more.

Get the big picture 

With Qatalog you get a central, trusted Work Hub that makes teamwork structured, visible, and efficient.

You can automatically create an Org Chart from your company's employee directory. Admins can bulk add and update managers and reports directly in Qatalog. If you are an enterprise customer you can sync it with your HR system.

How do I create an Org Chart?


Enterprise customers can utilize Active Directory sync with HR systems like Azure, BambooHR, or Workday. <a href="https://qatalog.com/contact/demo/" rel="follow">Get in touch</a> with our customer team for more information.&nbsp;

Can we synchronize Qatalog's Directory with our HR system?



You can give new joiners a clear onboarding experience by clarifying roles and responsibilities and showing how teams intersect. Qatalog makes organizational knowledge accessible by giving an instant view of work that&rsquo;s being done or goals that are being tracked.&nbsp;

How do Org Charts help my team? 


You can create easy to share, presentation-ready Org Charts. Qatalog lets you quickly share your team&rsquo;s Org Chart by adding them to a presentation or sharing it as a stand-alone file.&nbsp;

How do Org Charts help my company? 

It&rsquo;s just four steps to get started. Set up your account and profile, share it with your coworkers, and connect your tools in one click.

How long will it take me to get started with Qatalog? 



It&rsquo;s as simple as sending your colleagues a secure link. Then, they&rsquo;re just a few clicks away from setting up their profile and collaborating on projects, goals, tasks and much more. All within one central company Work Hub.

How do I roll out Qatalog to the rest of the company? 


Org Charts — Tobleron

In today&rsquo;s era of cloud computing and SaaS sprawl, businesses generate data and information at an unprecedented rate. Within it lies valuable insights and knowledge that could be pivotal for critical decision-making and innovation, all of which drives growth. However, much of this knowledge remains inaccessible, scattered across hundreds of applications and repositories.
Enterprise Intelligence is a new category of technology that is poised to revolutionize how businesses access and leverage all this information and how employees engage with the business. It is made possible by the rapid advances in AI which allow the system to retrieve, analyze, and present any piece of information almost instantly, on request.
<h3>Common use cases</h3>
There are myriad potential use cases for this technology but, for most businesses, they fall into one of the following categories:
<ul>
<li>
Employee information - Source information about your workforce or find the go-to person for help, depending on their role, expertise, or experience.
</li>
<li>
Communication - Locate information from conversations you&rsquo;ve had across any of your communication channels, including email, instant messaging and more.&nbsp;
</li>
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Collaboration - Understand the real-time status, progress, and ownership of projects and tasks across your organization.&nbsp;
</li>
<li>
Document and files - Find any file, document, or artifact across all your systems, no matter where it&rsquo;s stored.&nbsp;
</li>
<li>
Department Specific information - Generate live insights about your sales pipeline, customer base, and suppliers.
</li>
</ul>
<h3>Why AI is critical</h3>
Enterprise Intelligence is made possible due to the latest advances in AI, which enable a number of significant advantages as compared to traditional search tools:
<ul>
<li>
Contextual understanding &amp; enrichment - AI enables an understanding of the context behind a query using information about a user and the organization. This helps discern what a user is looking for, and where the information is located, without using very specific instructions. When formulating responses, the AI is also able to provide additional relevant context beyond the direct scope of the answer which the user may be unaware of, as well as suggesting further searches or actions that might be useful.&nbsp;
</li>
<li>
Natural Language Processing (NLP) - Most people prefer querying systems in natural language, rather than carefully structured requests. AI-driven NLP facilitates this by understanding, processing, and responding to human language, making interactions much more intuitive.
</li>
<li>
Pattern recognition - Generative AI models are adept at learning patterns and nuances within large datasets. This enables them to understand user behavior, preferences, intent and anticipate future queries based on past interactions.&nbsp;&nbsp;
</li>
</ul>
<h3>Business impact</h3>
Enterprise Intelligence platforms such as Qatalog offer a host of transformative benefits. For organizations looking to drive growth while creating operational efficiencies, the potential impact is clear and compelling:
<ul>
<li>
Create big time savings - Instead of wasting hours searching for information across multiple platforms or applications, employees now have a single source for all their informational needs that anyone can use with zero training.&nbsp;
</li>
<li>
Enable 24/7 operations - In global organizations working across multiple time zones, work is often disrupted. Enterprise Intelligence platforms provide 24/7 support to the entire workforce, enabling seamless collaboration no matter where you&rsquo;re located.
</li>
<li>
Drive growth and innovation - With instant access to company knowledge and strategic guidance, employees make higher quality decisions with greater velocity. This has a compounding effect over time which drives growth and innovation.
</li>
<li>More engaged employees - Enterprise Intelligence creates the foundations for an engaged employee base by making it easier to connect and collaborate across departments, understand company goals, and fostering a culture of continuous learning.</li>
</ul>
Qatalog is built with enterprise grade security and is quick and easy to set up. Just connect your tools and data sources via API and you&rsquo;re ready to go, with zero data-indexing required.&nbsp;
<a href="https://qatalog.com/demo/" rel="follow noopener" target="_blank">Book a demo now</a> to learn more about Qatalog&rsquo;s Enterprise Intelligence solutions.

Businesses are sitting on mountains of valuable data and knowledge that’s waiting to be unlocked.

Why Enterprise Intelligence is transformative

Artificial intelligence (AI) is transforming knowledge work. With large language models (LLM) already writing everything from blog posts to job applications, many industries are bracing for change.
Or at least they should be.&nbsp;<a href="https://language.work/research/ai-workforce/">In our research into employee perceptions of AI</a>, we discovered a false sense of security among knowledge workers about the impact these tools will have.&nbsp;
It&rsquo;s something we&rsquo;ve called&nbsp;<a href="https://qatalog.com/blog/post/the-chatgpt-effect-leaves-workers-unprepared-for-ai-revolution/">the &ldquo;ChatGPT effect&rdquo;</a>. As knowledge workers become more familiar with early AI tools like ChatGPT&mdash; which currently suffer from hallucinations and other limitations &mdash; they seem less worried about its power.&nbsp;
Now, generative AI won&rsquo;t make knowledge work obsolete. But it&nbsp;is likely to automate the basic, time-consuming tasks knowledge workers perform. That means the work that fills our time will change, and the skills we require and value will change with it.
In this post, we explore six skills that knowledge workers should learn today to prepare for a new world of human-AI collaboration.
<h3>Six knowledge work skills that AI is making more important</h3>
Much of the conversation around AI suggests its impact will be felt most where tasks are most repetitive and analytical. For example, it can already help us to draft emails, write code, and sift through large amounts of data.&nbsp;
As a result, knowledge workers are putting their valuable talents to better use. We found that 77% believe&nbsp;<a href="https://language.work/research/ai-workforce/">AI will help them work faster</a>. Whether they&rsquo;re marketers, developers, or designers, those who use AI effectively are likely to have more time to spend on rewarding, creative, human tasks.&nbsp;
But some jobs may disappear altogether, and those that remain will still have to adapt their working processes. These are the six skills that will be most important.&nbsp;
<h3>1. Getting the most out of AI &mdash; and doing so ethically</h3>
Firstly, the ability to use AI will be essential for knowledge workers. In a world where AI is a versatile collaborator and colleague, humans with a familiarity with these tools will be in high demand.
What are the tasks that AI performs best? How can you build it into your processes? Where does it stumble? What inputs, prompts, and guidance are necessary to get the best results? And what edits or tweaks are required by humans to improve what it produces?
It&rsquo;s not just the&nbsp;use of AI that humans will need to grasp, but the ethics, too. For example, one of the criticisms of LLMs is that they are prone to reproducing existing prejudices. For organizations to create data, materials, and results that are free of bias, employees will need to be attuned to this risk.
<h3>2. Resilience to digital change</h3>
We haven&rsquo;t even begun to see the full potential of AI. What&rsquo;s so exciting about this technology is how rapidly it&rsquo;s changing &mdash; and how dramatically it promises to revolutionize human progress.&nbsp;
But for organizations to make the most of that promise, knowledge workers need to keep up with the pace of change. And as a result, the most in-demand employees will be those who can adapt to the new technologies as they appear.&nbsp;
So, organizations will be looking for workers who can learn quickly to get the most from these tools &mdash; and who have an interest in pursuing their full potential. But organizations will also need to help employees gain these skills through ongoing training and support.&nbsp;
<h3>3. Creativity and innovation</h3>
In a workplace where AI handles the more routine and repetitive tasks, creativity will become one of the key requirements of your human employees.
Say you&rsquo;re running a marketing campaign, for example. AI can certainly provide the data to help you track trends and support your ideation. But true creativity and original ideas will always be in high demand.
Would an AI have created&nbsp;<a href="https://www.youtube.com/watch?v=La7B8mBnTXs">Cadbury&rsquo;s legendary ad</a> featuring a gorilla playing the drums with no mention of chocolate whatsoever, for instance? Not a chance. But it won ad of the decade and is said to have turned the company&rsquo;s fortunes around at the time.&nbsp;
This kind of out-of-the-box thinking may never be replicable by AI systems and highlights the enduring value of human creativity.&nbsp;
<h3>4. Emotional intelligence</h3>
As processes become more automated, we are likely to seek out true human connections, especially in certain scenarios and interactions where we need to be vulnerable and build trust.
For example,&nbsp;<a href="https://chainstoreage.com/do-customers-ai-based-chatbots">according to a recent study</a>, 77% of customers prefer to speak to a human at a company over a chatbot. The same number said they found interacting with a chatbot frustrating.&nbsp;
Of course, as AI systems improve, this kind of frustrating experience will become much less common. But for the foreseeable future, there will be plenty of situations where there is simply no replacement for the deep emotional intelligence that humans are able to provide, largely because we are able to draw on our own lived experience, which AI systems can never have. This allows us to be more empathetic, more flexible, and better able to deal with specific, nuanced needs.&nbsp;
And so, in a world where AI becomes ubiquitous, those with very high emotional intelligence will become even more valuable. It&rsquo;s what allows us to manage conflict, sensitively express dissatisfaction, and give genuine praise and affirmation that means something. AI can&rsquo;t do that (yet).&nbsp;
<h3>5. Critical thinking in a data-driven workplace</h3>
AI works by finding patterns in huge quantities of data. If you&rsquo;re bringing AI into your workplace, you&rsquo;re inevitably giving&nbsp; dataa central role, too.&nbsp;
In this context, data literacy among human employees will become a fundamental skill. For instance,&nbsp;<a href="https://www.qlik.com/us/aw/data-literacy-reports">one recent study</a> found that 85% of business executives believe that data literacy will become as basic a skill as using a computer.&nbsp;
The trouble is that the same study found only 11% of employees are currently fully confident in their ability to read, analyze, work with, and communicate data.&nbsp;
Knowledge workers need to know how to engage with and think critically about data. If AI tools can provide the necessary information and analyze patterns, it&rsquo;s down to humans to consider whether there might be any potential blind spots. Is AI using a limited data set? Could it be making false assumptions? Are there other implications or alternatives? All of these factors are important in the final decision-making process.&nbsp;
<h3>6. Leadership in an AI era</h3>
Finally, the advent of AI brings leadership into a new phase. Many of the same skills will remain relevant &mdash; strategic planning, people management, decision-making &mdash; but this technology casts them all in a new light.&nbsp;
More than ever, knowledge leaders will have to manage a mix of humans and machines. This begs the questions: How will you allocate tasks between the two? And, more generally, to what extent will you leverage AI across your organization?
As a leader, you&rsquo;ll also need to manage any conflict that arises here. And it&rsquo;s likely that those soft skills &mdash; empathy, understanding, and communication &mdash; will make you stand out.&nbsp;
It&rsquo;s also worth noting that it&rsquo;ll be your job as a leader to ensure you have the skills and talent your business needs to thrive in the AI-powered future. As we argue in&nbsp;<a href="https://language.work/research/ai-workforce/">The AI Workforce</a>, it&rsquo;s time to prepare for a fierce battle for talent.&nbsp;
<h3>A future where AI and humans collaborate is closer than you think&nbsp;</h3>
This doesn&rsquo;t apply to a distant future. AI is already transforming the workplace &mdash; and it&rsquo;s going to happen much faster than we think. The time to prepare is now.&nbsp;
<ul>
<li>
To learn more about how AI could transform the workforce, <a href="https://language.work/research/ai-workforce/" rel="follow noopener" target="_blank">check out our white paper, The AI Workforce</a>.
</li>
<li>
You can also <a href="https://qatalog.com/demo/" rel="follow noopener" target="_blank">book a demo with the Qatalog team</a> to see how we&rsquo;re leveraging the latest AI technology to help teams work faster and smarter.&nbsp;
</li>
</ul>

AI will transform the way knowledge work is done. Here we discuss six key skills that will be valuable in an AI powered world.

How AI will change the skills required for knowledge work

Artificial intelligence will transform the way knowledge work is done. Here we discuss six key skills that will be valuable in an AI powered world.

How AI changes the skills required for knowledge work

This is the calm before the AI storm.&nbsp;
That might sound strange, given the explosion of generative AI models and tools over the last twelve months, but this is just the beginning. The clouds are gathering and the wind is picking up, but we&rsquo;ve seen nothing yet.&nbsp;
In the next few months and years, we will see a fundamental transformation in the nature of work and companies. Large scale automation is coming, and not just for roles dominated by repetitive work. AI will drastically increase productivity in fields where automation and economies of scale were previously very rare, across a huge variety of highly skilled, creative, and &lsquo;white collar&rsquo; jobs.&nbsp;
We&rsquo;ll see an entirely new economic frontier emerge, accompanied by disruption on an unprecedented scale. We are sleepwalking into a hurricane and we are woefully unprepared.
<h3>The automation of knowledge</h3>
100 years ago, the assembly line for a car involved hundreds of people each with their own specific task. They were aided by machinery, but it was still a very labor intensive process. Today, advanced robotics means the vast majority of these tasks are now automated, with a much smaller number of humans overseeing the process.&nbsp;
Most companies in the modern economy are factories for information. The assembly line sees existing knowledge infused with new ideas and concepts to produce services, products, and new knowledge. Again, the process for doing this is very labor intensive, with a huge number of (often highly skilled) people required to make this happen.
The reason large language models (LLMs) are so transformative is because they enable information to be manipulated, analyzed and processed far more efficiently and accurately at a much greater scale than humans can ever be capable of. But a clear consequence of this is that many roles will inevitably be eliminated.
Let&rsquo;s take a corporate law firm as an example. Today, you might have a team working on a transaction, where someone responsible for due diligence, another who drafts the agreements, someone who assesses regulatory approvals, and another person who reviews everything, before it goes to the Partner. Fairly soon, you&rsquo;ll only need a Partner who assigns these tasks to autonomous AI agents that are powered by a specialized LLM. The assembly line has become almost entirely automated, overseen by a fraction of the initial workforce.&nbsp;
Of course, the inputs here are critical, as it&rsquo;s likely the Partner will require some original thought and a clear idea of how they want to approach the transaction in the first place, which will guide the specific instructions provided to the AI agents. They will also be responsible for reviewing the outputs from the AI, and determining the next course of action. This demonstrates the potential inequity created by AI, where some roles will become much more valuable, while others disappear entirely.&nbsp;&nbsp;&nbsp;
<h3>This is possible today</h3>
This is not something we need to start worrying about in a few years. It&rsquo;s already possible today. I know this because I&rsquo;ve spent the last 18 months up close to this technology, building products and systems that leverage LLMs.
As an example, we now have a system at Qatalog that uses our own AI models to automate our marketing and onboarding flow. First, it programmatically generates customized and highly targeted online adverts, including text and images. That ad takes you to a brand new AI generated landing page, which shows you what Qatalog&rsquo;s custom software platform would look like for your business, because our AI model &lsquo;understands&rsquo; our product and how it can be used by different industries. Then, if you want to use that custom product, it&rsquo;s built and ready to use almost instantly.
<h3>Rapid progress</h3>
What&rsquo;s even more remarkable is that we are just at the beginning of this shift, but the speed of progress when it comes to LLMs means change will happen fast. Whether it&rsquo;s from an academic paper or an open-source model, there is a major breakthrough almost every week that allows us to train models faster, cheaper, or with less compute power, often by orders of magnitude.&nbsp;
This is not normal. You might think we have suddenly cracked the code to problem solving and innovation. But the technology itself is the reason. Researchers and academics have been using LLMs to solve complex problems and trawl through existing literature at lightning speed for new connections and potential answers. Each time LLMs improve, our ability to create better LLMs does too. But this is also an early indication of how this technology will drastically expand the scale and scope of what humans can achieve, and we&rsquo;ll see this recursive and exponential pace of improvement will permeate every industry, sector and practice.
<h3>A false sense of security</h3>
Given what&rsquo;s coming, you&rsquo;d think we&rsquo;d be worried. But we've been lulled into a false sense of security.&nbsp;
Qatalog surveyed 2,600 knowledge workers in the US and UK to understand their perception of AI. The first half were surveyed in early November 2022 (shortly before the launch of ChatGPT), and then again in April 2023. The results reveal that knowledge workers are more confident AI can help them work faster, but have less confidence in an AI&rsquo;s ability to fully automate parts of their role, while the perceived threat level from AI has actually reduced.&nbsp;
So, what&rsquo;s going on? The dominance of ChatGPT (and similar tools) in public discourse has fooled people into thinking there&rsquo;s nothing to worry about, because ChatGPT is highly prone to hallucinations and, for lots of people, it feels more like a fun tool to play with.&nbsp;
In reality, the AI models we have today are phenomenally powerful and, with the right scaffolding and domain focused training, are already capable of large scale automation, as in the example from Qatalog above.&nbsp;
<a href="https://language.work/research/ai-workforce/?utm_medium=blog&amp;utm_source=blog&amp;utm_campaign=ai-workforce&amp;utm_content=tariq-blog" rel="follow noopener" target="_blank">See full data set here</a>.
<h3>A pandemic style response</h3>
You might argue this lends credence to the&nbsp;<a href="https://futureoflife.org/open-letter/pause-giant-ai-experiments/" rel="follow noopener" target="_blank">calls from prominent figures to pause AI development</a>, but that ship has sailed. Large parts of the technology is now open-source and run on almost any computer in the world and they are catching up every week. We&rsquo;ll still need regulation to provide guardrails, but the genie is out of the bottle and there&rsquo;s no going back.&nbsp;
All of this means it&rsquo;s now time to think about how we adapt, whether as individuals, as companies, and for society as a whole. When the covid pandemic emerged, trillions of dollars were made available to protect people&rsquo;s health, safety and the economy. That is the scale of action required right now.
<a href="https://language.work/research/ai-workforce/?utm_medium=blog&amp;utm_source=blog&amp;utm_campaign=ai-workforce&amp;utm_content=tariq-blog" rel="follow">Download &lsquo;The AI Workforce&rsquo; now</a> to view the white paper, which includes:
<ul>
<li>
Survey data on how knowledge workers view of AI has shifted
</li>
<li>
Predictions for the short-term and longer-term impact of AI on the workforce
</li>
<li>
Policy recommendations to mitigate the damage
</li>
</ul>

The AI workforce is coming and we are completely unprepared - new white paper from Qatalog.

The calm before the AI storm

The AI workforce is coming and we are completely unprepared.

Visualize reporting lines with dynamic, interactive Org Charts

Bring people, teams, and their work together in a structured place.

Get visibility into who, why, and how with Org Charts

With Qatalog you get a central, trusted Work Hub that makes teamwork structured, visible, and efficient.