Implement AI in Operations
We help transform your processes with Operational AI by creating solutions tailored to your needs. Discover how AI can make a difference in areas like Sales & Marketing, Customer Service, Finance, or HR. Book a free consultation to explore how AI can optimize your operations.
What is Operational AI?
Operational AI uses AI to optimize your company’s daily operations. It helps streamline activities, make smarter decisions, and automate routine tasks. It boosts efficiency, cuts costs, and helps your company stay ahead of the competition.
What areas are covered in Operational AI?
We support Sales & Marketing, Performance Management, Customer Service, HR, and Finance. Our approach enhances your current operations with automation, optimization, and forecasting solutions.
What does Operational AI mean for your organization?
Marketing Operations
AI enhances marketing by refining audience segmentation, automating campaigns, and personalizing recommendations. It predicts customer interests, automates content creation, and boosts ROI, making campaigns more effective and engaging for customers.
Customer service
AI improves customer service by automating tasks, speeding up response times, and providing personalized support through chatbots and predictive models. This enhances service quality, boosts satisfaction, and strengthens customer loyalty by better understanding their needs.”
Sales Operations
Sales operations fuel revenue growth by optimizing processes. AI solutions take this further by predicting customer behavior, improving demand forecasting, and preventing churn. This leads to stronger sales strategies and better customer retention. AI also streamlines operations, shortens sales cycles, and supports data-driven decisions.
Finance Operations
AI in finance automates tasks, detects anomalies, and streamlines processes, enhancing accuracy and efficiency. It provides valuable financial insights and supports informed decision-making.
HR
Operations
AI in HR automates performance evaluations, CV screening, employee anti-churn modeling, and creates tailored learning content and recommendations. This reduces bias, aligns skills with business needs, and boosts talent development, employee satisfaction, and operational efficiency.
Performance management
AI and operational analytics optimize and monitor your core operations, streamlining production, performance metrics, and reporting. This approach improves efficiency, predicts issues early, and enables informed decisions with real-time data.
What AI technologies do we use?
Generative AI models
AI platforms & infrastructure
Azure
Google Cloud
On-premises
What kind of AI components do we use?
AI predictions & optimizations
We tackle suboptimal decision-making and inefficiencies by implementing advanced AI models for predictions and optimizations. By analyzing historical and real-time data, we deliver actionable insights and forecasts that improve planning and operations. This leads to greater efficiency, lower costs, and better decision-making across business functions.
AI agents &
automation
We address the challenge of limited workforce capacity and manual, repetitive tasks by deploying AI-powered automation and agents. These intelligent solutions handle routine processes and provide real-time support, allowing your team to focus on more strategic activities. The result is improved efficiency, reduced operational costs, and enhanced productivity.
AI content generators
We tackle the challenge of creating high-quality content and designs efficiently with advanced AI generators. These tools produce text, images, and videos based on your requirements, saving time and effort. The result is a streamlined, creative process, higher productivity, and consistently engaging content that captivates your audience.
Chatbots
We solve the problem of limited customer service capacity and inconsistent experiences with advanced AI chatbots. These chatbots deliver instant, accurate responses, boosting service availability and user satisfaction. This results in better customer engagement, quicker resolutions, and a scalable support system.
How does AI implementation project work?
We integrate AI into your existing business and technical processes, ensuring it fits seamlessly with your current technology. We support both integrating AI into your existing workflows and setting up new platforms from scratch
1
Feasibility study and implementation plan
The first step in implementing AI for operations is a feasibility study that assesses its impact and builds a business case, focusing on return on investment. This step ensures the solution is viable and aligned with your business goals, providing a clear view of its benefits and challenges. The resulting plan defines the project scope, resources, and timeline, setting the stage for success.
Result: securing stakeholder support and building a strong foundation for your AI initiative.
Result: securing stakeholder support and building a strong foundation for your AI initiative.
2
High level design
After the feasibility study and implementation plan, the next step is the high-level design phase. This involves creating functional, technical, and system architecture designs for the AI solution. The functional design explains how AI will work within your business processes, while the technical design details the technologies and tools required. The system architecture design shows how AI components will integrate with your existing systems.
Result: a clear blueprint that ensures the AI solution is technically sound and seamlessly integrates into your operations, setting the stage for the build phase
Result: a clear blueprint that ensures the AI solution is technically sound and seamlessly integrates into your operations, setting the stage for the build phase
3
AI prototype
The AI Prototype phase involves developing and deploying the AI solution in a real-world setting, but within a controlled scope. This step includes setting up the necessary infrastructure and building a functional prototype that operates within your business environment. It allows you to validate the solution’s performance, ensuring it meets operational needs and aligns with business goals. During this phase, the business case is refined based on real-world results, minimizing risks and confirming the solution’s scalability and effectiveness.
Result: a validated AI solution, tested in your operational environment, ready for full-scale implementation with reduced risks and proven value.
Result: a validated AI solution, tested in your operational environment, ready for full-scale implementation with reduced risks and proven value.
4
Full scale development and deployment
After the successful prototype, the next step is full-scale development and deployment. We implement governance and AIOps standards to ensure the solution is robust, secure, and scalable. Multiple environments support development, testing, and production. The AI solution is then deployed across your organization, with a focus on handover and capability building to empower your team to manage and optimize the system. We provide adoption and change management support to ensure a smooth transition and effective integration into daily operations.
Result: a fully deployed, scalable AI solution that maximizes impact, empowering your team to drive continuous improvement and business growth.
Result: a fully deployed, scalable AI solution that maximizes impact, empowering your team to drive continuous improvement and business growth.
5
Continuous monitoring and evolvement
After full-scale deployment, the final step is continuous monitoring and evolution. We establish a feedback loop to track the AI solution’s performance and its impact on operations. Ongoing monitoring ensures that performance targets are met and strategic goals are achieved. This phase is essential for identifying opportunities to optimize and adapt the AI solution over time, ensuring it continues to deliver value as your business evolves.
Result: a continuously optimised AI solution that adapts to changing needs and consistently delivers value.
Result: a continuously optimised AI solution that adapts to changing needs and consistently delivers value.
Following this process, you achieve:
Tell us about the challenge that you want to resolve.
We tailor most of our AI implementation services to meet the unique needs of each client. Share your company’s situation with us, and we’ll let you know how we can help.
FAQ – most frequent questions regarding Operational AI implementation
How much time does it take to implement Operational AI?
How do you measure ROI of an AI implementation?
Do feasibility and high level design always lead to implementation?
How do you evaluate value in AI Prototype phase?
How do you ensure that AI solutions integrate seamlessly with our existing systems?
What support do you provide after the AI solution is deployed?
Read about our case studies in Operational AI
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