From automating the manual workflow to delivering satisfactory values to customers, artificial intelligence is completely transforming the way of doing business. Therefore, the companies that rely solely on traditional software are moving towards integration of intelligent systems that can easily learn and adapt to their business functionality. But the challenge here is that most of the small and medium-sized businesses are unaware of the right method to calculate the ROI of AI consulting projects.
Some businesses only consider hard ROI, which focuses on return on AI implementation, and completely ignore the soft ROI, which has a huge impact on brand value and customer loyalty. However, the right approach can maximize your AI consulting return on investment with simplified data and business workflow. Let’s understand how to calculate actual AI consulting ROI along with the key metrics influencing the equation.
Key Metrics Measuring AI Project Success
Working on AI projects for the first time can be exciting, but in the end, numbers are the things that matter. If you want to make the most of your intelligent system with expert assistants, you need to make key metrics to accurately calculate the AI consulting ROI, often ignored by growing SMBs while performing the task.
Hard ROI
Hard returns on your AI investment are a standard financial measure that focuses on quantitative monitoring of gains and losses related to overall operational efficiency, which may include the following factors.
- Time Saving: Artificial intelligence can effectively reduce manual tasks that ultimately save your time on tasks like data analytics, invoice processing, and approval. This may help you minimize errors and speed up the workflow while reducing the operational cost.
- Labor Cost Reduction: AI agents are also replacing humans for tasks like attending customers on calls with the help of automated chatbots powered with NLP (natural language processing). You must take into account talent acquisition while calculating your AI consulting ROI.
- Production Efficiency: The introduction of intelligent agents into your workflow is enabling you to automate the evaluation of large amounts of data and gather reports in real-time. It helps in better decision-making and faster execution of tasks, which you can use to measure your operational efficiency within your work environment.
- Increased Revenue: At the end, you need data on the increased revenue while evaluating the conversion rate and the investment in AI projects. It includes the profit increase with the implementation of artificial intelligence, increased productivity, and labor cost.
Soft ROI
Hard ROI only helps you calculate the returns on the workflow efficiency, and if you want accurate calculator returns on your AI project, then you must consider the qualitative measures. It may include the way of services you deliver to your customers and the work environment for your employees, which may include the following factors.
- Customer Satisfaction: The adoption of assistance and augmented intelligence is empowering businesses to automate their customer interaction with AI chatbots and provide a personalized user experience. Moving to such technologies helps you to gain a loyal customer base and reduce costs on hiring talent.
- Skill Retention: Though AI consulting projects allow you to slice your employee base from repetitive tasks, at the same time, you also need to hire new talent for better utilization of AI technology. You need to contact a skilled AI consultant or data scientist with whom you must keep an account for accurate returns for an artificial intelligence project.
- Agility: Some AI projects may not generate adequate AI consulting return on investment due to the infringement of intelligent agents’ usage, team collaboration, and skill gaps. However, an experienced AI consultant like AptaCloud can help build new capabilities of your AI infrastructure with resources that align with your business needs and respond to upcoming opportunities and challenges.
Common Mistakes When Calculating AI Consulting Return On Investment
Measuring the ROI of AI consulting projects is not a straightforward process, as you need to keep the above metrics in mind. However, the biggest challenge is that many benefits take time to materialize or can’t even be calculated in numbers.
Businesses often make mistakes in calculating customer retention data and employee satisfaction. They also face difficulty in evaluating the real value of the AI initiative, their AI consulting ROI, and more due to the following reasons.
- Organizations often approach simple ROI calculation for each AI project, which includes only hard returns.
- You must be aware that AI is growing at its fastest, and many businesses make mistakes in computing returns at specific points in time when intelligent models deteriorate in performance.
- Companies often make mistakes in calculating the ROI of each AI project, where the right way is to view the projects as a portfolio.
Best Practices for Maximizing and Measuring AI Consultant ROI
The question here arises: how can you ensure that you are getting the most AI consulting return on investment? Well, you need to consider multiple key metrics and the right approach to evaluate your AI project portfolio, which we have discussed below.
1. Define Your Goal and KPIs
Define the objective of your AI consulting projects, which may include faster innovation, improved customer experience, and reduced operations. You can go through the KPIs (key performance indicators) to track the progress towards your business goal.
- Sales conversion rate.
- Customer repetition.
- Task execution time.
- Error reductions.
- NPS (net promoter score).
2. Establish Your Baseline
Gather all the information on your current performance and compare the metrics according to industry standards. Identify the areas where you are lagging for AI improvement and look for the hidden insights that usually spike or recurring customer issues.
3. Calculate The Revenue
Estimate the revenue of your business by considering the potential gains from forms like production line optimization and quality control automation. You must calculate investment in intelligent, customized agents for image recognition and increased productivity through automation to identify actual AI consulting return on investment.
4. Identify The Access Cost
Don’t forget to evaluate the hidden costs while measuring AI project success, which may include the following factors.
- Task assessment and resource utilization.
- Team composition and streamlining.
- Project duration and training time.
- Implementation and maintenance costs.
- Data collection and storage.
5. Define Unmeasurable Benefits
You must also determine the soft ROI factors that can’t be measured but play an important role in evaluating your AI consulting ROI. It may include your brand value, employee loyalty improvement, and customer satisfaction.
6. Set A Realistic Timeframe
You need to understand that AI project evaluation is an ongoing process where you need to set up periodic assessments to evaluate their performance. Taking the help of a seasoned AI consultant can be ideal, as they monitor and upgrade your automated intelligent system while being on a budget, and help you stay competitive with maximized AI consulting ROI.
7. Put The Numbers in the Formula
Now it’s time to use all the numbers on the standard ROI formula while adjusting the AI investments in consulting projects.
ROI = (Net benefits through AI portfolio/total investment on consulting projects) X 100
Where you can calculate the “net benefits” through the following formula.
Net benefits = (Benefits from AI models – uncertainty of benefits)/resource to build model x cost of resources)
8. Account For Ongoing Challenge
ROI of AI consulting projects is not a one-time process, as you need to identify the ongoing challenges and solve them instantly. The professional AI consultant can help you maintain your data quality, adapt to rapid technology change, and motivate you to approach ethical practice to account for and review the challenges.
Conclusion: Maximize Your ROI of AI Consulting Projects with AptaCloud
You can find the widespread adoption of AI in various industries, from manufacturing to retail and service-based businesses. However, the biggest challenge here is to demonstrate and calculate ROI for measuring AI project success. The issues can arise due to premature adoption of automation systems, lack of expertise, quantifying values, scaling considerations, and industry-specific needs.
But no worries, as you have the specialized AI team accessible at AptaCloud who can help identify the opportunities and provide a strategic approach to improve your AI consulting return on investment. Get free assistance today from AI experts in defining a clear use case, piloting before full-scale deployment, training sessions, systemically tracking, and establishing measurable ROI metrics.
FAQs
What are the challenges faced by businesses in calculating AI success?
Small and medium-sized businesses often face problems in determining the qualitative measures, which may include customer satisfaction, cost of hiring new talent, and the decision-making process, which have a huge impact on measuring AI project success.
What are the best practices to evaluate the ROI of AI consulting projects?
First, you need to determine your business goals, evaluate all the quantitative metrics, evaluate the soft ROI, gather the numbers, and use formulas to calculate your AI consulting ROI.
What is the difference between hard ROI and soft ROI?
Hard returns are the quantitative metrics that may include the cost of resources, training, and revenue generated, which you can acquire at the time of AI implementation. On the other hand, soft ROI is sometimes difficult to calculate or takes time to convert into calculative numbers, which may include customer experience, employee satisfaction, and acquisition of new talent.
How can I calculate my returns for an AI consulting project?
You can use a simple formula to calculate your AI portfolio calculation and measure returns, which is defined as,
ROI on AI project = (Net benefits for intelligent model/investment in AI portfolio) x 100
What are the mistakes to avoid when calculating AI project ROI?
You must consider the qualitative factors when calculating your returns on AI projects. Since calculating AI consulting return on investment is an ongoing process, don’t take too long to evaluate your automated intelligence system.
How can a professional AI consultant help me calculate the accurate returns of my AI portfolio?
An expert AI consulting firm can help you determine the clear goal of your AI system, integrate intelligent agents to automate monitoring and analytics, and initiate an effective strategy for the deployment process. They also help you to train your employees, establish a systematic track on your AI impact, and set realistic expectations that may ease you in measuring AI project success accurately and allow you to make better decisions.
