Our Industries
Rewriting the Future of AI & Automation
Intelligent Search
Empower employees with AI-driven search that quickly surfaces relevant insights, documents, and expertise across the enterprise.
Customer Intel & Recommendations
Leverage AI to analyze customer data and deliver hyper-personalized experiences, predictive insights, and tailored recommendations.
Business Process Automation & Internal Bots
Streamline operations by automating repetitive tasks and deploying AI-powered bots for enhanced efficiency and decision-making.
Predictive Maintenance & Resource Optimization
Utilize AI to anticipate equipment failures, optimize resource allocation, and minimize downtime for increased operational resilience.
Our work is not just about automation and AI—it’s about freedom.
OUR CLIENTS
Analytics Automations was founded to bridge the divide between IT, business, and operations. We exist to ensure that people—not technology—remain at the center of innovation.
Energy & Utilities
The most effective AI/ML solutions are those that augment human decision-making rather than replace it, creating a synergistic relationship between operators and advanced technologies.
Analytics Automations understand that one of the most critical factors in Human-Machine Teaming in both pro-active planning as well as for predictive-based real-time operations is the contract between the two parties. In many places, the lack of clear understanding of the contract between Humans and Machines, whether on the part of the developers/testers or users, can lead to undesirable outcomes.
Capability areas commonly supported:
Energy & Utility companies supported by our team members:
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Florida Power & Light
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Versant Power
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AES
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Vattenfall
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Siemens
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Mission Solar
Manufacturing & Supply Chain
Many businesses are radically transforming how they create, deliver and capture value to remain relevant in a constantly changing world.
Whether they’re converting a traditional product to be software-enabled, looking at customer channels and removing intermediaries, or expanding the value chain into other segments, most companies are recognizing the need to transform and innovate.” US CEO views from PwC’s 27th Annual Global CEO Survey
Capability areas commonly supported:
Manufacturing & Supply Chain companies supported by our team members:
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MARS
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Ford
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Siemens
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Cargill
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KraftHeinz
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Home Depot
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7-Eleven
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Family-Dollar
Financial Institutions
The financial sector is shifting from reactive risk management to proactive AI-driven anomaly detection, ensuring stronger security and compliance while enhancing customer trust.
Analytics Automations recognizes that AI-driven financial solutions require a deep understanding of trust, transparency, and security. In a landscape where real-time transactions and digital finance are the norm, the relationship between humans and AI must be clearly defined to mitigate risks and improve efficiency.
Key considerations for successful Human-Machine Teaming in Financial Institutions:
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Clear role definitions between AI-driven automation and human oversight.
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Well-structured explanations of AI-driven decisions, including risk assessments and confidence scores.
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Real-time alerts for anomalous transactions, compliance violations, and fraud detection.
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Feedback mechanisms allowing human intervention and refinements to AI-based decisions.
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Secure AI models that align with financial regulations and data privacy laws.
Capability areas commonly supported:
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Risk Management & Fraud Detection – AI-powered anomaly detection and predictive analytics.
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Customer Engagement & Personalization – Intelligent banking assistants, chatbot support, and hyper-personalized services.
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Regulatory Compliance & Reporting – Automating compliance monitoring and reporting for faster, error-free auditing.
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Credit Risk & Lending Automation – AI-driven credit scoring models for improved decision-making.
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Operational Efficiency – Workflow automation and intelligent process optimization in banking.
Financial Institutions supported by our team members:
Credit Human
