Pay-Per-Performance AI Roadmap

Replace reactive retention efforts with AI that identifies at-risk customers before they leave. We deploy models that analyze transaction history, support interactions, and product usage to flag high-risk accounts. Our compensation is tied to a guaranteed reduction in your annual churn rate.

• Real Example: A SaaS provider reduced churn by 22% within two quarters, directly protecting $4.5M in annual recurring revenue.
• The AI Fix: Proactive, personalized retention campaigns triggered by predictive scores, improving customer lifetime value.

Volatile logistics and inventory costs erode margins. Our AI orchestrates dynamic routing, demand forecasting, and autonomous procurement. You pay based on a percentage of the hard cost savings achieved in freight, warehousing, and inventory carrying costs.

• Real Example: A manufacturer cut logistics costs by 18% and reduced inventory levels by 30% through AI-driven dynamic orchestration.
• The AI Fix: A Logistics Control Tower that integrates real-time data from carriers, weather, and sales to optimize decisions, paying only for the savings delivered.

End wasted ad spend. Our AI manages cross-channel media buying, creative testing, and audience targeting with compensation linked directly to Cost Per Acquisition (CPA) or Return on Ad Spend (ROAS). We assume the performance risk.

• Real Example: An e-commerce brand increased ROAS by 35% while decreasing customer acquisition cost by 28% using agentic AI for media planning.
• The AI Fix: Agentic workflows that autonomously adjust bids, allocate budget, and personalize creatives in real-time to hit your specific revenue targets.

Manual insurance or invoice processing is slow and error-prone. We implement Intelligent Document Processing (IDP) and agentic workflows to automate extraction, validation, and approval. Fees are based on a per-claim cost reduction and tied to processing time Service Level Agreements (SLAs).

• Real Example: An insurer reduced claims processing time from 5 days to 4 hours and cut operational costs by 40%.
• The AI Fix: AI that reads documents, validates against rules, and routes exceptions, with our success measured by your throughput and cost savings.

Unplanned equipment failure is a massive cost center. We deploy AI models on sensor data to predict failures weeks in advance. Our fees are calculated based on the downtime hours avoided and the associated maintenance cost savings.

• Real Example: A utility company avoided $2.1M in forced outage costs and extended asset life by 15% using AI-powered digital twin simulations.
• The AI Fix: Continuous analysis of vibration, thermal, and acoustic data to schedule maintenance just-in-time, converting capex into predictable opex.

Increase sales team productivity by focusing only on high-intent leads. Our AI scores and prioritizes inbound leads based on propensity to buy, and can even initiate personalized outreach. Compensation is linked to the incremental revenue generated from AI-qualified leads.

• Real Example: A B2B software firm saw a 50% increase in lead-to-opportunity conversion and a 20% uplift in deal size from AI-prioritized leads.
• The AI Fix: Conversational AI and predictive scoring that engages, nurtures, and hands off sales-ready leads, ensuring your team spends time on what closes.

We begin with a high-impact, low-complexity use case to prove value fast. This phase focuses on data readiness, defining the precise business metric for the pilot, and establishing the baseline. You pay only for the scoped development, with the first success fee triggered upon hitting the pilot's KPI.

• Example: A retail client targets a 5% reduction in cart abandonment via a personalized recommendation engine. Fees are due only after the 5% target is verified.

With the pilot's ROI validated, we scale the solution and integrate it into core workflows. This phase establishes the MLOps/LLMOps foundation for monitoring, retraining, and governance. Payments are structured around achieving scaled efficiency gains or revenue targets.

• Example: Expanding the pilot engine to the entire e-commerce platform, with fees tied to achieving a 2% uplift in average order value across the segment.

Leveraging the established infrastructure and trust, we identify and launch 1-2 additional high-ROI initiatives from your roadmap. The AI Value Attribution Engine is deployed to track cross-initiative impact. Success fees are now multi-dimensional, based on a basket of outcomes like cost savings and customer satisfaction.

• Example: A manufacturer adds a predictive maintenance model for critical assets. Fees are linked to a guaranteed 10% reduction in unplanned downtime and associated maintenance costs.

The focus shifts to continuous optimization and financially aligning your AI spend. We implement the AI Spend-to-Value Alignment governance process, ensuring every dollar of inference cost links to business value. The final phase includes knowledge transfer, ensuring your team can sustain and evolve the outcome-based AI portfolio independently.

• Example: Implementing automated model performance and cost dashboards, with a final success milestone payment for achieving the annual aggregate ROI target across all deployed initiatives.

This roadmap is built to provide clear, quarterly justification for investment.

• De-risked Budgeting: Capital is released against delivered value, not hopeful projections.
• Vendor Accountability: Our compensation is contractually aligned with your business KPIs.
• Transparent ROI: Each phase delivers a discrete, measurable financial outcome documented in the AI Service ROI Dashboard.

Financial Services: A 12-month engagement to reduce fraud losses. Phase 1 (Months 1-3) targeted new account fraud, with fees due after a 15% reduction was achieved. Manufacturing: A roadmap for supply chain resilience. The first success fee was paid after the AI-driven orchestration agent reduced premium freight costs by 20% in the pilot lane.