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Foundation AI

Automates legal and claims document processing

Team Lead – Quality and Process Excellence

Business OperationsPosted on Nov 11
Full-timeHyderabad, Telangana, IndiaNo salary listedIn-person

About the Job

Requirements

  • A minimum of 6 years of experience in document review, document processing, data verification, or a related operations domain is required.
  • A minimum of 2 years of team management experience in a leadership or supervisory role is required.
  • Strong understanding of quality monitoring, quality assurance, auditing, and error identification is required.
  • Experience identifying process gaps, conducting root cause analysis, and implementing corrective actions is required.
  • Hands-on experience conducting training sessions, refresher training, knowledge assessments, and employee upskilling is required.
  • Ability to develop and maintain standard operating procedures, process documentation, quality checklists, and training materials is required.
  • Experience tracking quality metrics, preparing management information system reports, and presenting performance insights is required.
  • A bachelor's degree or equivalent qualification, including an LLB, in any discipline is required; minimum formal education is 12+3 years.
  • Ability to manage multiple priorities and work across different shifts is required.

Responsibilities

  • Establish and maintain quality standards, audit frameworks, and evaluation parameters.
  • Monitor quality performance, identify recurring errors, and drive corrective and preventive actions.
  • Conduct root cause analysis and internal and external quality calibrations.
  • Track quality metrics and drive initiatives to improve accuracy and reduce errors.
  • Identify process gaps, operational bottlenecks, and opportunities for improvement.
  • Drive continuous improvement initiatives to enhance process efficiency and accuracy.
  • Develop and maintain standard operating procedures, process guidelines, and quality checklists.
  • Implement best practices and monitor the effectiveness of process improvements.
  • Identify training needs through quality audits, performance trends, and process feedback.
  • Develop and deliver onboarding, refresher training, and targeted learning programs.
  • Conduct process knowledge tests and assessments to evaluate process knowledge and competency.
  • Measure training effectiveness and drive continuous employee upskilling.
  • Lead and manage a team of 10–15 auditors, ensuring effective execution of quality and training activities.
  • Conduct regular one-on-one meetings, performance reviews, and team meetings.
  • Mentor team members and foster a culture of accountability and continuous improvement.
  • Track quality, productivity, audit scores, and training effectiveness metrics.
  • Prepare management information system reports and quality dashboards for senior leadership.
  • Highlight performance gaps and ensure timely implementation of improvement plans.
  • Collaborate with operations, audit teams, and leadership to drive quality initiatives.
  • Participate in client quality reviews and calibration sessions.
  • Address quality-related concerns and coordinate corrective actions.

Desired Qualifications

  • Lean Six Sigma Green Belt certification or equivalent process improvement certification.
  • Knowledge of Lean methodologies, continuous improvement frameworks, and process excellence practices.
  • Experience implementing quality improvement initiatives and structured training frameworks.
  • Exposure to document extraction tools, artificial intelligence-driven document processing, or legal document review operations.
  • Experience developing quality dashboards, audit scorecards, and training effectiveness metrics.

About the Company

Foundation AI

Automates legal and claims document processing

Foundation AI automates document processing for the legal and insurance sectors. It uses OCR, computer vision, and machine learning to ingest unstructured documents, emails, and attachments, then classifies and extracts key data (like names, dates, and amounts) and routes documents to the correct matter or claim file. The platform integrates with existing document management systems and provides a confidence score for each extraction to enable human-in-the-loop validation, ensuring accuracy. Unlike broader document software, Foundation AI targets law firms and claims departments in North America with a focus on handling complex, unique documents and automating end-to-end workflows. Its goal is to remove repetitive administrative work so professionals can focus on higher-value tasks, acting as a bridge between inbound documents and meaningful legal and claims work.

Company size
201-500
Company stage
Seed
Total funding
$1.5M
Headquarters
Irvine, CA
Founded
2018

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