Soothsayer Analytics

Every procurement leader knows the complexity of managing tenders, proposals, purchase orders, invoices, and payments across disconnected systems. The manual review process leads to delays, mismatched data, and costly overpayments. What if every document could validate itself before reaching your team? That is the power of AuGENT. Built on Intelligent Document Processing, AuGENT transforms procurement from a paper-driven function into an intelligent, automated workflow. It ingests documents from multiple channels, identifies their type, and extracts key information such as quantities, prices, and payment terms. The system validates data across proposals, POs, and invoices, flagging mismatches before approval, ensuring accuracy and compliance. Procurement staff review only the exceptions, with full context and traceability. Once verified, AuGENT pushes structured, validated data directly into ERP and finance systems, automatically generating payment approvals and maintaining a complete audit trail. The result is a faster, more reliable procurement cycle. Organizations achieve higher accuracy, shorter approval times, and stronger supplier relationships, while preventing overpayments and ensuring transparency at every stage. AuGENT turns procurement into a strategic advantage, where documents become decisions, and efficiency becomes measurable. To learn more, visit https://lnkd.in/g3Cwn58Q #AIDrivenProcurement #IntelligentAutomation #DigitalTransformation #SmartOperations #ProcurementInnovation #SoothsayerAnalytics Gaurav Agrawal Danny Fournel Christopher Dole Akshay Deshpande Haritima C. Shravan Adapa Jeevan Sreerama Soma Parupalli Venkata Dakshinamurthy Kolluru Anand Jayaraman, PhD , CAIA Yugandhar Yaddala Olaf Grimm Tochukwu (Tox) Udolisa Gurmeet sodhi Manmeet Singh Varun Agrawal Charo Domingo

Manufacturing is entering a new era. Across oil and gas, petrochemicals, metals, and heavy industries, leaders are under increasing pressure to enhance efficiency, improve sustainability, and maintain competitiveness in a rapidly evolving landscape. Artificial Intelligence is now the foundation of industrial progress, enabling smarter plants, safer operations, and truly data-driven decision-making. The question is no longer why to adopt AI, but how to implement it in a way that drives measurable and lasting transformation. Join us for AI-Driven Digital Transformation in Manufacturing: Building Competitive Strength, a webinar designed for industry leaders seeking to unlock the full potential of AI. Discover how advanced technologies are being applied to predictive maintenance, energy optimization, workforce productivity, and supply chain resilience in real industrial environments. The session will also explore how enterprises are aligning national sustainability goals with operational excellence, creating organizations that are both competitive and responsible. Date: Wednesday, November 19 Time: 7:00 AM EST | 3:00 PM AST | 4:00 PM GST If your organization is facing the challenges of rising costs, unplanned downtime, and sustainability demands, this webinar will help you identify clear, practical paths forward. Interested in learning more? Visit - https://lnkd.in/dSNu9u73 #AIDrivenManufacturing #DigitalTransformation #IndustrialAI #SmartManufacturing #SustainableIndustry #SoothsayerAnalytics Soothsayer Mazrui AI Hassan El Shreif Gaurav Agrawal Danny Fournel Christopher Dole Akshay Deshpande Haritima C. Shravan Adapa Jeevan Sreerama Soma Parupalli Venkata Dakshinamurthy Kolluru Anand Jayaraman, PhD , CAIA Yugandhar Yaddala Olaf Grimm Tochukwu (Tox) Udolisa Gurmeet sodhi Manmeet Singh Varun Agrawal Charo Domingo

UPCOMING WEBINAR: AI-Driven Digital Transformation in Manufacturing - Building Competitive Strength Manufacturing, oil & gas, petrochemicals, metals, and other heavy industries are transforming their operations with AI. Join Soothsayer Analytics on Wednesday, November 19 at 7 AM Eastern Time (3 PM AST | 4 PM GST) for a 1-hour webinar focused on how AI is creating measurable impact on reliability, energy efficiency, and overall performance. This live session will explore how leading organizations are using advanced analytics to reduce downtime, improve throughput, and elevate workforce capabilities. It will also highlight how digital transformation connects with national initiatives such as Saudi Vision 2030 & UAE Industry 4.0, emphasizing practical steps to move from isolated pilots to enterprise-scale adoption. The discussion is designed for executives, plant managers, operational excellence leaders, government & policy stakeholders, and digital innovation professionals who are ready to move from concept to execution. Reserve your spot today and be part of the conversation shaping the future of manufacturing. REGISTER HERE: https://lnkd.in/dSNu9u73

I am looking forward to joining the AI Leadership Roundtables at ADIPEC Exhibition and Conference 2025 next week! The core discussion at the Roundtable is clear: The future of energy requires us to solve for AI Ethics and AI Adoption Hurdles simultaneously. Frankly, solving the governance and adoption challenges together is the key to transformation. This is exactly what we focus on at Soothsayer Analytics Soothsayer Mazrui AI. I would love to hear your thoughts: * Ethics: In the context of large-scale energy projects, what is the single most critical ethical principle that must guide our AI deployment? * Adoption: Is the biggest hurdle to adopting AI in energy truly technical (like data quality/infrastructure) or primarily **cultural (like talent gaps/change management)? Please share your perspective in the comments, let’s start a pre-conference discussion! Come say hello and continue the conversation at the **Mazrui Energy Services** booth: **Hall 01 Stand 1130** (3-6 NOV). Our colleagues: Charbel Khoury, Danny Fournel, Olaf Grimm, Charo Domingo, Gurmeet sodhi, Tochukwu (Tox) Udolisa, Hassan El Shreif, Manmeet Singh and teams at Mazrui International, Soothsayer Analytics, Soothsayer Mazrui AI, SIGMA Enterprises. #ADIPEC #AIEthics #EnergySector #AIAdoption #Leadership #SoothsayerMazruiAI #MazruiEnergy #EnergyTransition #Sustainability #Innovation #Collaboration #CleanEnergy

Great webinar on #ResponsibleAI by Dr. Venkata Dakshinamurthy Kolluru this morning. The conversation was deep, honest, and filled with practical insight about where #ArtificialIntelligence is headed and what it will take to make it trustworthy. 1. THE FIRST ACT OF RESPONSIBILITY IS USING THE RIGHT AI FOR THE RIGHT TASK There are many forms of AI. Generative models have captured attention, but they are not always the best solution. They are often more costly and less efficient for structured or repeatable problems that traditional machine learning can handle better. A responsible organization chooses its tools carefully and validates its architectures through independent review to ensure that performance, efficiency, and purpose align. 2. FOCUS & SIMPLICITY CAN OUTPERFORM SIZE Smaller, domain-focused models can achieve comparable accuracy to large models while using far less energy, cost, and data. They can also be trained to understand the unique context of an organization. In many cases, precision & control matter more than scale. 3. AI SUCCESS DEPENDS ON MORE THAN THE MODEL Data quality, workflow design, integration, monitoring, and governance determine whether an AI system endures.  As AI becomes easier to build, the surrounding infrastructure must become stronger. 4. RESPONSIBILITY INCLUDES SECURITY, BIAS, AND POSITIONING Enterprises are learning that AI must be designed with security in mind. Systems that can take or execute instructions must be governed to prevent unintended actions. Bias remains a central challenge because AI learns from human data, which reflects both progress & prejudice. Finally, AI should be positioned as an aid to human capability, not as a replacement. Some organizations that replaced entire teams with automation later reinstated people after realizing the limits of the technology. 5. RESPONSIBLE AI MUST BE LED FROM THE TOP Leadership must see AI not only as a technical program but as an enterprise capability. Dashboards that track explainability, fairness, sustainability, and reliability alongside accuracy can help align goals with outcomes. A small internal ethics group that includes business, legal, HR, and technical voices can ensure that responsibility is reviewed before deployment. The next phase of AI progress will not be defined by scale, speed, or creativity. It will be defined by credibility. The organizations that will lead in the next decade are those that treat responsibility as an engineering design parameter rather than as a public statement. https://lnkd.in/eVdBVTkn Soothsayer Analytics #AI #GenerativeAI #GenAI #DataScience #Leadership #Innovation #DigitalTransformation

Happy Diwali Gaurav Agrawal Danny Fournel Christopher Dole Akshay Deshpande Haritima C. Shravan Adapa Jeevan Sreerama Soma Parupalli Venkata Dakshinamurthy Kolluru Anand Jayaraman, PhD , CAIA Yugandhar Yaddala Olaf Grimm Tochukwu (Tox) Udolisa Gurmeet sodhi Manmeet Singh Varun Agrawal Charo Domingo

Shubh Deepavali to family & friends!!

Commercial real estate lending is complex. Hundreds of pages of leases, rent rolls, financials, tax returns, and insurance documents move through credit and operations teams, often manually, slowly, and with risk of errors. AuGENT changes that. Built on GenAI, it does more than scan documents. Leases, rent rolls, tax returns, and insurance certificates are automatically classified, validated, and integrated directly into banking systems. Cross-document checks ensure accuracy, highlight discrepancies, and flag exceptions, freeing analysts from repetitive work. The result? Loan cycle times shrink from weeks to days. Errors drop dramatically. Analysts can focus on decisions instead of data entry. Banks gain real-time visibility into every file and maintain compliance with confidence. Intelligent, adaptive, and scalable, AuGENT is transforming how banking teams handle commercial real estate lending. #commercialrealestate #BankingInnovation #loanprocessing #SmartBanking #GenAI #IntelligentAutomation #AIinFinance #AuGENT #SoothsayerAnalytics Gaurav Agrawal Danny Fournel Christopher Dole Akshay Deshpande Haritima C. Shravan Adapa Jeevan Sreerama Soma Parupalli Venkata Dakshinamurthy Kolluru Anand Jayaraman, PhD , CAIA Yugandhar Yaddala Olaf Grimm Tochukwu (Tox) Udolisa Gurmeet sodhi Manmeet Singh Varun Agrawal Charo Domingo

Every healthcare team knows the frustration of prior authorizations. The back-and-forth paperwork, the waiting, the denials that could have been avoided. What if that entire process simply… worked? That’s what AuGENT was built for. Instead of chasing documents across systems, AuGENT automatically gathers everything, physician notes, labs, imaging, payer forms, and organizes them into a single, intelligent case packet. It understands what each document means, checks every detail against payer rules, and flags only the true exceptions for human review. No templates. No repetitive data entry. Just clear, complete, and compliant submissions, every time. And once approval comes through, AuGENT syncs instantly with your EHR and scheduling systems, ensuring patients are seen faster and staff stay focused on care, not paperwork. With real-time visibility into performance and compliance, healthcare leaders can finally see prior authorization not as an obstacle, but as an opportunity to transform efficiency and patient experience. #HealthcareInnovation #healthtech #HealthcareAutomation #medicalbilling #HealthcareWorkflow #HealthAI #AuGENT #SoothsayerAnalytics Gaurav Agrawal Danny Fournel Christopher Dole Akshay Deshpande Haritima C. Shravan Adapa Jeevan Sreerama Soma Parupalli Venkata Dakshinamurthy Kolluru Anand Jayaraman, PhD , CAIA Yugandhar Yaddala Olaf Grimm Tochukwu (Tox) Udolisa Gurmeet sodhi Manmeet Singh Varun Agrawal Charo Domingo