Services
Specific capabilities across the analytics and AI lifecycle.
Engagements can begin with a focused assessment or pilot and extend through engineering, integration, governance, deployment, and improvement.
01
Business Analytics, Data Exploration & Reporting
Create a trustworthy view of performance and the decisions that drive it.
- Business-question framing, KPI design, and measurement strategy
- AI-supported business and data analytics across operational, customer, financial, and program data
- Data assessment for quality, readiness, lineage, and gaps
- Data exploration, visualization, scenario analysis, and complex data-science analyses
- Automated business analysis reports plus AI-enabled database and data management
02
Predictive Modeling & Applied Data Science
Use historical and current data to anticipate outcomes, risks, and opportunities.
- Forecasting, regression, classification, risk scoring, and rating models
- AI-supported insurer rating calculations and insurance risk analytics
- Segmentation, pattern discovery, and anomaly detection
- Feature engineering, data-science model development, and model comparison
- Custom algorithms for customer, campaign, and digital advertising analytics
03
AI Strategy & Use-Case Design
Select AI opportunities according to business value, feasibility, risk, and readiness.
- AI opportunity assessment and use-case portfolio design
- Workflow, stakeholder, data, and control mapping
- Build, buy, or integrate analysis
- Pilot scope, success measures, and adoption planning
- AI architecture and implementation roadmaps
04
AI Workflows & Intelligent Automation
Combine AI, business rules, systems, and human review into dependable workflows.
- Custom algorithm design and implementation within dataflows
- AI workflow design and process orchestration
- Tool-enabled automation across APIs, databases, and business systems
- Human approval, escalation, and exception-handling patterns
- Workflow logging, monitoring, and performance measurement
05
AI Agents & Knowledge Solutions
Build focused AI systems that analyze data, interact with people, use tools, and assist with work.
- Customer, employee, and mission knowledge assistants
- Retrieval-augmented generation using governed information sources
- Task-oriented agents and agentic system design
- Secure tool access, guardrails, and permission boundaries
- Prompt, retrieval, and end-to-end agent evaluation
06
Custom AI Software, Models & Operations
Design, build, integrate, and operate AI software and models for controlled, maintainable business use.
- Outsourced custom AI and computer software design and development
- Machine-learning and data-science model development and evaluation
- Computer model creation, integration, and deployment
- AI software architecture and integration with existing applications and databases
- Production monitoring, drift detection, and improvement planning
