Core Consulting Services
Initial Assessment
Evaluation of revenue determinants, data environment, analytics capabilities, and organizational structure.
Architecture Design
Definition of the PRI architecture, data model, analytical framework, and operating model.
Integration of Revenue Determinants
Development of integrated analytics and AI solutions across forecasting and all key revenue determinants.
Closed-Loop Operating Model
Design of decision processes linking forecasting, pricing, retention actions, determinant events, and execution.
Revenue Optimization Programs
Identification and execution of initiatives improving portfolio performance and revenue outcomes.
Implementation Support
Integration with existing systems, data platforms, and finance processes.
Implementation
Implementation programs can be delivered in collaboration with specialized partner firms, enabling scalable deployment across data engineering, analytics platforms, and AI infrastructure—on-premise or across leading cloud environments.
Engagement Model & Commercial Structure
ArcLoop AI services are delivered through a flexible consulting model, tailored to client needs and operating environments. Core advisory and analytical services can be provided on-site or remotely and are typically delivered on a time basis, with hourly rates aligned to the expertise required.
Implementation programs are structured as defined project engagements—typically delivered in focused 1–2 week execution cycles. These are scoped based on objectives, complexity, and team composition, ensuring clarity on deliverables, timelines, and outcomes.
All deliverables, including code, data models, and analytical assets, are transferred to the client upon completion. Clients retain full ownership of the intellectual property developed as part of the engagement.
How We Deliver — Engagement Approach
(Tailored to your specific needs and scope)
- Diagnose current environment (data, processes, systems)
- Identify improvement opportunities in forecasting & pricing
- Define scope, objectives, and detailed requirements
- Design data architectures and reporting workflows
- Develop and test analytical models with data samples
- Assess implementation readiness and capability gaps
- Advise on organizational structure, roles, and technology
- Define execution plans and partner support requirements
- Assemble and coordinate internal/external specialized teams
- Oversee key aspects of implementation delivery
- Provide post-implementation documentation & knowledge transfer
Not all engagements require every step—our approach is tailored to each client’s specific context and objectives.