Assisted Decision Detail page
Assisted decision-making software helps industrial teams make faster, more informed decisions using operational data, AI, and contextual insights.
Our Expertise
We build systems that turn complex industrial data into practical operational decisions
We combine AI, analytics, UX, and engineering into products teams can actually use daily
We prototype quickly and refine solutions closely with customer and operator feedback
Our Software Solutions
Built engineering productivity and decision-support platforms from the ground up
Developed AI-assisted systems for industrial workflows, plant operations, and process optimization
Created connected dashboards and analytics tools that reduced manual analysis and improved operational visibility
Case Study
Building an AI-Powered Engineering Productivity Platform
Customer :
Schneider Electric
Domain :
Assisted Decision Making
Schneider Electric wanted to build a new generation of engineering productivity tools powered by AI, Machine Learning, and data analytics. The challenge wasn’t just building one application. They needed a strong technical foundation that could support multiple future products, while moving fast enough to keep up with growing market expectations.
Customer Challenge
- The product required expertise across AI, Machine Learning, analytics, UX, and industrial software engineering
- Schneider needed a team that could move quickly without the delays typically seen with traditional vendors
- The platform had to solve real engineering problems while staying flexible enough for future product expansion
What We Did
- Joined the project from the Proof of Concept stage and helped shape the product direction from the ground up
- Built both the core platform capabilities and the application layer used by end users
- Worked across Machine Learning, backend systems, UX, integrations, and product engineering as one connected team
Impact
- Helped develop a scalable engineering productivity platform over a 4-year engagement
- Supported multiple innovations and advanced product capabilities as the platform evolved
- Built a system that improved engineering workflows while laying the foundation for future industrial applications
Technologies Used
Based on stakeholder feedback and project metrics.
48 Months
Released In XXXX
15
People Team
2x
Development Speed
4.3
CSI Rating
Testimonials
“I’ve been a part of your journey for 3 years now and together, we have accomplished many different projects successfully! It has been a great learning for me as well as the team is very passionate about solving customer problems.
The value that the team brings on to the table is asking the right set of questions and challenging the problem statement. The team has great decision-making capabilities for the good of the product by exploring multiple solutions to a given problem.
The WonderBiz Team has expertise in building applications with seamless User Experience and experience in building Machine Learning based applications. There were multiple instances when the team went beyond to help customers.
I distinctly remember one scenario where one of our colleagues had a need to digitize humongous amount of data to have a dialogue with the end user. The WonderBiz team went an extra mile to help the internal customer to meet the objective. The team takes a great degree of accountability and is very passionate about solving customer problems. I really enjoy working with the team and brainstorming multiple solutions!”.
Dinesh Gondhi
Senior Manager, Schneider Electric
Helping Shape a New Engineering Automation Product from Idea to Working Prototype
Customer :
Schneider Electric
Domain :
Assisted Decision Making / Industrial Automation
Schneider Electric was exploring a new idea to automate engineering work and reduce processing time significantly. The challenge was that the product was still taking shape. There was no clear roadmap yet, and the team needed a working prototype quickly to help leadership understand the opportunity and decide whether to invest further.
Customer Challenge
- The product idea was still evolving, with many open questions around features and technology choices
- Stakeholders needed something tangible they could see, test, and discuss internally
- The team had a short timeline to prove the concept without overengineering the solution
What We Did
- Worked closely with Schneider’s team through multiple discussions to shape the product direction
- Explored different technical approaches to find something that would work well for both the demo and future scale
- Built a working prototype using a Microsoft Azure-based graph database with a focused 3-engineer team
Impact
- Delivered a successful Proof of Concept in just 3 months
- Helped stakeholders clearly visualize the product and move forward with further investment
- The initial work later became the foundation for a much larger engineering productivity platform
Technologies Used
Based on stakeholder feedback and project metrics.
48 Months
Released In XXXX
15
People Team
2x
Development Speed
4.3
CSI Rating
Testimonials
“Great work, initiative and responsiveness from WonderBiz team working on this new age exploratory work. This work stood out distinctly from rest due to innovation content and short cycle time.
Few of my US colleagues asked me in disbelief how was I able to achieve these results in such a short time? And, I told “We have worked with WonderBiz – a very dynamic startup company with young minds!” I am sure they will also be eager when they will think of something new.
Now expectations and the bar has been raised, we are working to scale even higher peaks together by converting these initial ideas to products!”.
Sameer Kondejkar,
Future Offers Leader, Schneider Electric
Reducing Guesswork in Industrial Paint Mixing
Customer :
Schneider Electric
Domain :
Assisted Decision Making / Paint Industry
In many paint manufacturing units, technicians were still relying heavily on personal experience to get color mixing right. Matching a specific shade often meant repeated adjustments, trial and error, and inconsistent results between operators and locations. The process worked, but it consumed time and made standardization difficult.
Customer Challenge
- Color mixing depended too much on operator experience and manual judgment
- Achieving the right shade often required multiple retries and adjustments
- Different plants and technicians could end up producing slightly different results
What We Did
- Built a tinting assistance system that provided standardized mixing guidance for operators
- Developed workflows that reduced dependence on manual decision-making during color matching
- Continued improving the system as part of the customer’s larger innovation initiative
Impact
- Reduced guesswork and improved consistency in paint tinting operations
- Helped operators achieve the right shade faster with fewer retries
- Made the overall process more reliable and easier to scale across locations
Technologies Used
Based on stakeholder feedback and project metrics.
48 Months
Released In XXXX
15
People Team
2x
Development Speed
4.3
CSI Rating
Testimonials
“Abhishek’s quick implementation of a prototype end-to-end workflow, complete with integrated algorithms, has been instrumental in advancing our engagement with the customer. This achievement not only showcases his technical prowess but also demonstrates his ability to drive innovation and accelerate project development. Abhishek’s dedication and expertise have proven to be invaluable assets to our team, and we look forward to building upon this successful prototype as we continue to work with our customers.
Tauseef has taken the lead in web development, focusing on the UI part of the project. His dedicated efforts have significantly contributed to our ability to deepen our engagement with the customer. Tauseef’s work in enhancing the user interface not only demonstrates his skill and attention to detail but also plays a crucial role in creating a positive and user-friendly experience for our clients. We appreciate his commitment and expertise, and we are excited to see how his contributions will continue to drive our success in future customer engagements.”
Amitabha Bhattacharyya
Senior Principal Technical Expert, Schneider Electric
Making Green Hydrogen Plant Data Easier to Understand and Act On
Customer :
Schneider Electric
Domain :
Assisted Decision Making / Green Hydrogen
Schneider Electric was working on improving visibility across green hydrogen operations. The challenge was that plant data was coming from many different systems like electrolyzers, energy systems, and plant operations tools, but none of it connected cleanly. Teams had the data, but not a simple way to understand what was really happening across the plant.
Customer Challenge
- Operational data was scattered across multiple systems and difficult to analyze together
- Teams struggled to get a clear picture of plant performance in real time
- Important operational issues were harder to identify because information was disconnected
What We Did
- Built a connected system that brought plant data into one unified operational view
- Developed performance monitoring workflows that made plant behavior easier to track
- Created performance insight models to help teams understand trends and respond faster
Impact
- Made day-to-day plant monitoring simpler and easier for operational teams
- Helped teams identify issues earlier and take action faster
- Improved visibility across green hydrogen operations through a more connected system
Technologies Used
Based on stakeholder feedback and project metrics.
48 Months
Released In XXXX
15
People Team
2x
Development Speed
4.3
CSI Rating
Testimonials
“Hello Team, I would like to take a moment to sincerely appreciate the entire team for the outstanding work done in preparing the Green Hydrogen Demo for Hannover 2026 and the SE India Innovation Summit. The demo has come together exceptionally well, and I truly recognize the significant effort and challenges the team navigated throughout the preparation. This was not an easy task, and the dedication shown by everyone is commendable.
Rohit – For preparing the Performance Insight models for the required usecases. I know how complex the models are and getting the required accuracy”
Bodanapu Padmaja
Program Manager, Schneider Electric
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