AI Tools that Save You Time
AI Tools that Save You Time
We are now past the hype phase of AI. Many professionals are now using Generative AI within their workflows to write, summarise, code, analyse data and reduce the pain of repetitive admin tasks. However, not all AI tools will save you time – some of them will make your life harder due to ambiguous outputs, endless prompt tweaking and needing to manually verify everything.
Instead of looking at whether something uses AI, you need to look at whether the tool reduces any friction within your workflow. Recent research suggests that using Generative AI can save us around 2.2-3 hours a week, with those using it regularly often saving 4+ hours. This tends to be most effective in coding, data analysis, content production and repetitive automation.
In this guide, we’ll look at the different types of AI tools that will help to save you time and how to use them in a responsible way.
What Does it Mean to Save Time?
Only tools that save you more time than it takes to prompt, check, correct and add into your workflow will help. Surveys report that many people are spending time correcting/rewriting poor AI outputs. Therefore, it’s important to take the workflow into consideration.
Typically, those working in a tech-savvy environment will find that the best tools are ones that are easily integrated into existing workflows. Tools that provide outputs that are easily edited, plus tools that can automate a repeatable task.
Our team often see this in practice. Businesses don’t want to implement more AI “experiments”; they want AI tools that are thoughtfully implemented to improve consistency and reduce manual tasks. Our Professional Services team will work with you to identify the areas of high friction and create a realistic solution.
AI Writing & Communication Tools
AI is often used for writing. We all know how much time can be spent writing emails, notes, product documentation, proposals, support and internal updates.
In this case, the approach to accomplish this would be through the use of AI tools for the first draft. This is irrespective of whether you intend to convert your notes to an email, to summarise the conversation, to rewrite a message or to make an outline, and so on. The most commonly used AI tools in the workplace are for research, writing, and text editing.
It will save time because you won’t start from zero. In the case of a typical response, you would take 20 minutes to develop such a response. Using AI tools, you can generate context, write a draft, and take five minutes to edit that draft. Although it is mandatory to check the tone, accuracy, and specificity of your text, you would have done most of the work.
This can be very helpful for technical teams, in particular when coming up with SDK release notes, API documentation, onboarding, and support macros. This way, it provides uniformity of documentation tone, saving engineers/managers from performing many repetitive actions.
AI Coding Tools
AI can be a huge time saver when it comes to software development. Whether you need to generate boilerplate, write unit tests, explain code, debug issues or translate logic between languages.
There is some impressive evidence to suggest that generating/debugging code can be one of the biggest time savers – Nearly 8 hours a week saved by those using AI for this purpose (European Central Bank). However, this will depend on the context. Whilst AI is great for speeding up common patterns and implementing repeatable tasks, it shouldn’t be used as a replacement for thinking about architecture, security and quality.
The most productive developers will use AI coding tools as a collaborative tool. Asking for suggestions, explanations, test scenarios, etc. This ensures you still have a high level of engineering, whilst removing much of the repetitive tasks.
Our team can help organisations to effectively implement this mindset. We will help your team to create realistic limitations so you can have clear checks, secure coding, documentation and reliable AI support.
AI Meeting Tools
Meetings can be a source of information, but rarely will they provide you with any useful knowledge. Notes will be lacking, action items will be missed, and decisions will go into someone’s head.
AI meeting tools will help by providing a transcription, highlighting key points, action items and creating a searchable summary of the meeting. If your team spend a lot of their week in meetings, this can really help reduce admin.
In addition to getting the transcript, you can go through the discussion. This way, you get to be aware of the decisions that have been made and remain aligned. If you integrate this with your project management software, it creates tasks out of meeting commitments automatically.
However, these summaries should be used as a support tool. Using a good workflow means you can assign owners, deadlines and context to the action items. The AI will provide information, but you will turn this into progress.
AI Data Analysis Tools
Often, within data, we will export, clean, create a report, explain and repeat this next week. AI can help to reduce much of this by allowing you to ask questions in natural language, create visuals, spot anomalies, and create explanations.
This saves an enormous amount of time for those in operations, finance, marketing, and product management who need their answers fast but don’t always have an analyst on hand to build a custom report. Instead, one can ask questions.
AI can also help to reduce the time spent preparing data. It can help with suggesting cleaning, highlighting inconsistencies, summarising large documents and turning business questions into analysis. The European Central Bank identify that data analysis and automating repetitive tasks can be a big time saver.
However, analysis does require some thought. Whilst an AI-generated chart may look impressive, the data may not be of high quality or may be misleading. The best teams will work with AI to analyse their data, but will have clear data governance, validation and manual checks.
AI Workflow Automation
Traditional automation tools are very rule-based. However, AI can make automation more adaptable by helping to classify requests, pull information out of unstructured documents, assign work to the right team and produce a draft response.
This is where you will often find some of the most sustainable time savers. By using AI to automate your workflows, you can completely take out parts of your process. For example, you can use AI to help with your intake process. This will automatically read through the customer’s request, classifying, pulling out key information, prioritising and producing a draft response. This will then be reviewed and approved by a human.
The key word here is approval. AI should be used for predictable and low-risk tasks. By having a good process in place, you will improve speed and consistency.
We specialise in helping businesses to correctly map out this process. We will look at your workflows to identify where delays are happening, repetitive tasks are taking place and how you can put in place automation that will make measurable improvements to your operations.
AI Search Tools
Many teams waste hours searching for information. AI can help to reduce this by understanding what the user wants.
This can be great in technical environments. You don’t need to look up old documentation or ask your colleagues where the decision was made. Just ask your question!
This can save a lot of time. However, it’s important that you have reliable information. The AI should give you references to back up the answer and allow you to easily verify it. This is particularly important in regulated industries, technical documentation, legal and any workflows that may have repercussions if answered incorrectly.
Selecting the Right Tools for Your Team
The best way to start using AI is to review your workflows to see where your team is losing time. Is there repetitive writing? Manual data entry? Slow handovers? Unclear documentation? Too many meetings? Or predictable support requests?
Once you have identified this, select the AI tools that can help reduce these issues. Whilst a tool saving a developer 2 hours a week may be a game changer for your engineering team, it won’t help your finance department. It’s also important to consider how often the tool is being used. Research shows that those using AI daily will save much more time than those using it occasionally.
Using metrics will help. How much time did the task take before introducing AI, and how long does it take now? Also, how much time do you spend reviewing and refining AI-generated outputs?This will help prevent teams from thinking they’re being productive.
Human Oversight
Whilst AI will help speed up your workflow, it can never fully replace human oversight. The responses may be confident but lack completeness, be out of date or not match the business. It can create a new task of checking the outputs, correcting errors and ensuring the intent is clear.
This doesn’t mean that AI isn’t valuable. However, it’s important to have a good process in place for AI to be successfully adopted. Those who have seen the most success will have AI as part of a bigger system with training, quality checks, permissions, documentation and clear ownership.
We have a practical approach to all of our engagements. We will help your organisation move from having random AI usage to having secure, scalable solutions. Whether this is to improve your internal workflows, improve your software development practices or create bespoke digital products.
Conclusion
All AI tools that will save you time will have one thing in common – they remove repeatable friction from your real workflows. Whether it’s writing, coding, meetings, or AI-enabled automation, they will help.
Use AI where it provides a clear improvement. Ensure you have human oversight where accuracy, security and judgement are required. With the right strategy in place, AI can be a reliable foundation to help you work faster, smarter and sustainably.
We can help your business make this change. We offer Professional Consulting, bespoke software development and AI-enabled workflows.
