4 AI Tools to Supercharge Your Projects

By: Walter Pasquarelli, an expert advisor on AI strategy, data governance, and digital transformation

As generative AI continues to make its mark on how businesses operate, professional services leaders adopting generative AI are reimagining how they manage projects, improve workflows, create content, and analyse data. If anything, 2023 has shown that generative AI is unlikely to be just a tech trend like the ones Silicon Valley has produced in abundance. Instead, generative AI tools are being used as creative sparring partners and are fast becoming real challengers, reshaping traditional approaches. In this blog, we will look at four applications that are particularly relevant to project-based companies.

Generative AI Tools for Better Productivity

Neuroflash: Crafting Thoughtful Content

In the age of the digital economy, companies increasingly rely on their online content to stand out through blogs, social posts and thought leadership articles. One player in this arena supercharging content production is Neuroflash. Once it provides a content outline, Neuroflash offers a menu of options ranging from style, tone, format, and emotion. When a user selects an option, Neuroflash prompts a language model with precision. Though still requiring the user to refine the output, the tool is different from ChatGPT in the way it assists users in generating specific AI prompts, tailored to the output they desire. This is crucial as providing the right and precise prompt ultimately determines whether an AI-generated output is line with the user’s expectation.

ClickUp AI: Streamlining Project Management

Anyone who has spent time in project management will be all too familiar with manually producing RACI charts, project timelines, and meeting minutes. While their purpose is crucial, namely, to provide structure and good project execution, these often require time and resources - which could be invested in more value-adding tasks. ClickUp AI seeks to simplify this process by automating various project-related tasks, from producing RACI charts, to refining project documents, and even drafting emails in different tones. While a human always needs to stay in the loop to ensure the materials are client-ready, ClickUp provides a means for speeding up project-related admin.

Julius AI: Simplifying Data Analysis

Quantitative data analysis is one of the most sought-after skills in the labour market. Yet, research shows that quantitative talent tends to be scarce. Julius AI focuses on simplifying the world of data processing. The idea is simple: users upload a dataset and can ask it to perform statistical analyses, visualise charts, and even suggest prompts. To be clear, the aim is not to replace quantitative analysts but rather democratise data analysis and widen accessibility across the enterprise - and in this regard, this tool is a game-changer.

Deltek Vantagepoint: Client Smart Summaries™

We all understand the importance of being well-prepared before client meetings. Understanding a client's history, ongoing projects, and potential opportunities is crucial to fostering meaningful conversations. However, sifting through volumes of data to extract pertinent information can be time-consuming and overwhelming. Deltek Vantagepoint offers Client Smart Summaries™ that leverage the power of generative AI to automatically summarise client information, which helps executives, business development managers, and project managers stay well-informed about what has happened and what needs to happen to nurture client relationships and win more projects.

The Need for Ethics in the Realm of Generative AI

As businesses have started integrating generative AI tools into their workflows, they have also started grappling with the importance of securing trustworthiness - and some of us learned it the hard way. Think, for example, of the case of LawyerGPT, a New York-based attorney who used ChatGPT to conduct his legal research. Unfortunately, the chatbot fabricated past cases, and the attorney had to answer for this in front of the court himself.

The potential for these tools to produce "hallucinations" (tellingly chosen as Cambridge Dictionary's word of the year) raises important moral questions. Advocating for openness, responsibility, and transparency becomes crucial as we embrace progress. This is not only a matter of corporate responsibility but also one of regulatory compliance. The EU is in the final stages of passing the AI Act, a risk-based regulatory framework set to reshape and set up hard rules for how AI products can be used. US President Joe Biden also recently announced an Executive Order requesting some government departments to produce guidelines for AI governance. While the latter may be less stringent, it clearly shows that AI has reached the highest corridors of government policy. Companies leading generative AI adoption must set an example for a future where innovation and ethics go hand in hand while staying in line with regulatory developments.

Conclusion

What is clear, though, is that as we navigate the frontier of generative AI, the trajectory of this technology in business is increasingly evident. While just a year ago assumed to be an artefact with a narrow scope, 2023 has shown us that it represents a more substantial shift in how businesses operate, how they need to prepare their workers, and the investments they need to make to nurture readiness.

Based on the newest updates from OpenAI and Google's Gemini, this year, we can expect AI development to focus on interactiveness and better communication with users. The ultimate goal, it seems, may be the establishment of personal AI agents, which will proactively help project-based businesses fulfil different tasks, from managing calendars to autonomously coming up with better project designs.

Ultimately, the future belongs to those who responsibly integrate generative AI in alignment with their goals. Who will succeed is still open, but its opportunities are up for grabs.