Outcome-oriented
Align operations to service levels, volumes, process measures, or business outcomes where the work allows.
AI-Enabled Managed Services
AI-enabled managed services and BPO operations
Traditional outsourcing moves existing work to lower-cost employees. Agile evaluates the entire operation and designs the right combination of people, AI, automation, software, and process management to deliver the outcome.
A better operating model
Efficiency with judgment, oversight, and accountability intact
AI handles what it does well. Trained professionals manage exceptions, verify results, communicate with stakeholders, and apply specialized knowledge when the process requires it.
Delivery can be structured around dedicated teams or, where appropriate, processes, volumes, service levels, and business outcomes.
Integrated delivery
Agile can support strategy, implementation, staffing, management, and ongoing operations within a single engagement—reducing handoffs and keeping improvement connected to daily delivery.
What makes it different
Managed for performance, designed to improve
AI-enabled teams
Equip professionals with modern AI and technology to improve throughput, consistency, and service.
Continuous improvement
Review performance, remove friction, automate repetitive work, and evolve the operating model over time.
Human expertise
Preserve judgment, verification, communication, accountability, and industry context where they matter.
Integrated delivery
Connect consulting, engineering, staffing, management, and operations under one accountable partner.
Transparent performance
Use documented processes, quality controls, escalation paths, KPIs, and service reviews to manage the work.
AI & Agent Operations
Manage the digital workers, too
AI agents and automated workflows still need monitoring, testing, maintenance, governance, escalation, and human oversight.
- AI agent monitoring
- Output quality review
- Exception management
- Human escalation
- AI testing and evaluation
- Workflow monitoring
- Performance tracking
- Knowledge-base maintenance
- AI workflow updates
- Data quality review
- Human approval workflows
- Audit and operational support
AI Data & Knowledge Operations
Keep the information behind AI accurate and useful
Effective AI depends on organized, accessible, and continuously maintained business information.
- Knowledge-base development
- Document organization
- Document classification
- Metadata creation
- Data cleansing and normalization
- RAG knowledge preparation
- AI output evaluation
- Data validation
- Knowledge-base maintenance
- Training and evaluation datasets
Where the model fits
Finance & accounting
Reconciliation, AP/AR workflows, close support, analysis, document handling, and quality review.
Insurance & mortgage
Processing, document review, servicing, exception handling, QA, and compliance support.
Customer & business operations
Support escalation, administration, research, data operations, sales support, and operational triage.
What outcome should your operation deliver better?
Let’s evaluate the workflow and design the right operating model around it.