Professional services

At Algorithma, we empower professional services firms to enhance efficiency, client engagement, and compliance through AI. Our solutions streamline operations by automating workflows, improving client personalization, supporting decision-making, and managing risk. By leveraging intelligent scheduling, targeted marketing, document processing, and compliance monitoring, we help businesses focus on high-value activities, deliver personalized experiences, and maintain regulatory standards.

"AI in professional services helps your organization elevate client experiences, optimize operations, and ensure compliance. With thoughtful integration, we can unlock efficiency and deliver consistent, high-quality service."

Jens Eriksvik, CEO

How AI can be applied in the sector

  • AI can be harnessed to automate routine tasks and optimize workflows like scheduling and resource allocation. Integrating AI solutions reduces manual workloads, minimizes errors, and boosts productivity within professional services firms. Intelligent scheduling and resource management lead to cost savings and allow professionals to focus on higher-value activities that drive business growth.

  • AI can be utilized to deliver personalized services and targeted marketing efforts. By analyzing both client- and external data, AI can help firms tailor offerings to individual needs, predict future requirements, and create effective campaigns. AI-powered chatbots can also provide instant support, enhancing client satisfaction and loyalty. This approach improves the client experience and drives business growth by optimizing acquisition and retention strategies.

  • AI enhances service quality by providing consistent, rapid access to information. Natural language processing and computer vision enable quick processing of documents, including scans. For example, image recognition helps technicians swiftly identify equipment and diagnose issues, while AI-driven search tools make documents easily accessible. This empowers employees to make fast, data-driven decisions, ensuring high-quality service.

  • AI is employed to proactively manage risks and ensure compliance with laws and regulations. AI systems continuously monitor for compliance issues, detect fraudulent activities through pattern recognition, and analyze legal documents for potential risks. Leveraging AI in risk management minimizes liabilities, protects the company's reputation, and maintains client trust by ensuring operations are secure and compliant.

Our latest thinking

Complete library
Beyond deployment: Embracing AI sustainment for lasting value
Beyond deployment: Embracing AI sustainment for lasting value

Deploying AI systems is just the beginning. To create business impact and realize value, these systems must be sustained to remain reliable, adaptive, and compliant over time. AI sustainment is a strategic approach to extend the lifecycle of AI models, ensuring they are performant, scalable, and aligned with business needs. Algorithma emphasizes a proactive methodology that continuously improves models, manages data effectively, and follows responsible AI guidelines—maximizing value and maintaining a competitive edge.

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Navigating data drift to future-proof your ML models
Navigating data drift to future-proof your ML models

Companies are increasingly relying on machine learning models to make critical decisions. ML models come with a fundamental assumption: they expect the future to look like the past. In reality, the world is constantly changing, and so is the data it generates. This change, known as data drift, can silently undermine the performance of your models, leading to poor decisions, increased costs, and missed opportunities.

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Building the algorithmic business: Machine learning and optimization in decision support systems
Building the algorithmic business: Machine learning and optimization in decision support systems

The ability to leverage the combined strengths of machine learning and optimization to enhance decision-making processes can significantly transform business operations. By integrating these technologies, businesses can achieve increased efficiency, reduce operational costs, and improve overall outcomes. This transformative potential is realized through practical applications in decision-making, whether by supporting human decisions or performing them autonomously.

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Some of our experts

Team
Jens Eriksvik
Jens Eriksvik

CEO

Kristofer Kaltea
Kristofer Kaltea

Business and operations leader

Peter Wahlgren
Peter Wahlgren

Senior Advisor

Simon Lanngren
Simon Lanngren

Management Consultant

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