Professional Services

SFL Scientific works in multiple areas at the intersection of professional services and technology. Enhancing workflows and analytics for legal firms to HR teams.
Professional Services

Overview

The professional services industry faces many challenges – resource shortages, budget cutbacks, and process inefficiencies. SFL Scientific works hand in hand helping companies meet those challenges through data strategies and AI and machine learning programs such as document transcription to key term extraction from contracts.

We Work with Top Sector Companies

Our Custom Strategy

Natural Language Processing

Statistical models, data mining, database management

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Predictive Analysis/Time-Series

It's critical to develop a plan to integrate the model, not just make a predictive score

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Data Engineering

Designing data architecture and best practices for secure, efficient, and cost-effective data and IT systems.

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Use Cases

Reshaping the Field

SFL Scientific’s expertise in helping professional services companies apply AI to industry-specific problems. Solutions such as document transcription and data strategy and prediction algorithms are helping to impact the bottom line.

Predicting Top Charitable Donors

The goal is help better focus fundraising efforts, determine high value donor characteristics to find future HVDs in unmanaged donor lists, better understand donation patterns and influence marketing & operational investments.

Document Transcription & Parsing

Developed a platform to ingest raw documents and then automatically classify, parse, and extract key terms and records from specific contracts & titles.

Call Center Optimization & Decision Support

Developed a keyword & topic modeling extraction pipeline to extract key trends of topic occurrence for case manager-patient phone calls.

Data Strategy & Legal AI Roadmap

Performed a practice group and organizational machine learning audit to develop a comprehensive data strategy and use case roadmap. Worked with partners, PG-leaders, C-level and knowledge management teams to execute business objectives.

Text Detection & Image Optimization

The current menu annotation workflow deployed requires a significant investment of human labor at every step, involving multiple annotators as well as a reviewer at each step. The following project is intended to alleviate some of that cost by introducing automation to some of the segments of the workflow.

Professional Services AI Applications

We work with business leaders to increase operational efficiency, extract useful business insights and operationalize data into business decision tools for HR teams to high-powered legal firms.

Accounting

  • Streamline data entry and analysis
  • Reduce fraud
  • Enforce corporate policy

Legal

Automating contract review can provide significant time savings and prevent errors. Machine learning can augment research as well as perform due diligence freeing up resources for more intensive tasks.

Human Resources

Pre-filter candidates through AI systems to create a holistic profile of the applicant limiting good candidate misses, or automate training by having access to all enterprise files and policies which can provide quick answers to employee queries through an NLP solution.

People Powered from Data Management to Custom Solutions and Deployment

Professional Services know it’s not a question of whether or not to deploy AI solutions, but a matter of when and where to start.

Our US-based team of data scientists, consultants, and engineers can guide you through the process of driving real business value with AI. We will work to understand your AI business cases, identifying unique areas of innovation that require further research with proof of concept through building models and deploying sustainable, performant AI business applications at scale.

AI pipeline diagram
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Start a Project

We’d like to work with you to understand your unique AI challenge from modernizing legacy platforms to developing new AI solutions. Technology moves fast, let’s build sustainable solutions.

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