Consumption-Based AI Pricing Transition ▾
Move to consumption pricing before AI cost pressure forces a rushed decision. Design a transition that captures upside without permanently compressing margin.
Portfolio Architecture and Packaging Design ▾
Design good/better/best bundles that drive self-selection, reduce discounting, and create a natural upgrade path. Know when to fold AI into the core product and when to sell it as an add-on.
CPQ Design and Agentic Quoting Requirements ▾
Define your future configure-price-quote system — including agentic workflow requirements and AI-assisted quoting capabilities — before you commit to an implementation.
AI Cost Guardrails and Usage Controls ▾
Put contractual and structural limits in place that prevent unprofitable AI consumption or one-off terms from compounding chaos — before they reach your P&L.
Monetization Strategy and Value Metric Design ▾
Define the monetization model — value metric, hybrid models of users and usage, the role of each package in driving monetization.
New Product Pricing and Packaging ▾
Launch AI products and features with the right metrics, tiers, and price levels. Capture value from day one whether you're selling outcomes, usage, or access.
Align Pricing to GTM ▾
Ensure pricing strategy works in tandem with sales positioning, quoting, closing, and compensation. Build a model that works for the field, resellers, emerging markets, PLG, etc.
Discount Governance and Deal Risk Scoring ▾
Build the scoring framework and approval flows that surface deal risk in real time and reduce margin leakage.
AI Cost-to-Serve and Margin Architecture ▾
Identify where AI delivery costs are misaligned to pricing; reset the model before margin erosion hits the P&L.
Defensible Price Levels and Systematic Price Increases ▾
Set price levels the field can defend and execute increases that expand revenue without damaging retention.
Value Selling and AI-Powered Pricing Enablement ▾
Build the value-selling capability. Equip sales with ROI frameworks, AI-assisted calculators, and commercial narratives that help them articulate, justify, and defend pricing under pressure.
Enterprise Deal Pricing ▾
Price and structure complex enterprise deals without trading margin for deal closure: ELAs, commitments, ramps, multi-year terms.
Monetization-First Product Strategy ▾
Ensure product roadmap & monetization advance in lockstep by embedding pricing constraints and consumption metrics into product decisions before engineering commits.
Repackaging for Growth and Competitive Response ▾
Restructure an underperforming offer to unlock upgrade motion and close gaps to legacy competitors and new AI-native entrants.
Customer Migrations ▾
Move existing customers to a new pricing model with a sequenced plan that controls churn and eliminates exception chaos.
Pricing KPIs with AI Feedback Loops ▾
Design the metrics, AI-powered dashboards, and review cadence that surface pricing drift early, routing signals back into strategy before they become P&L surprises.
AI-Native Pricing
Build agentic processes to run the monetization loop continuously: AI-assisted data collection, automated KPI monitoring, feedback architecture that routes market signals back into strategy in real time.
Pricing Function & Capabilities
Stand up a best-in-class pricing function on day one, or evolve the one you have. Team design, decision rights, tooling, process, and the operating model to sustain it at any stage of company maturity