Progressive Disclosure:
80-90% AI Cost Savings
How PROCUX intelligently filters context to send only relevant information to AI models, reducing costs by 80-90% while maintaining response quality.
How does Progressive Disclosure save 80-90%?
Traditional AI sends massive context (millions of tokens) to LLMs. PROCUX filters context to only what's relevant using agent-specific templates and relevance scoring, reducing costs from $4.50/query to $0.45/query—a 90% reduction.
The Hidden Cost of AI
LLM Token Pricing (per 1M tokens):
PROCUX Analysis: The average enterprise query uses <5% of available context, but traditional AI systems send 100%—meaning 95% of AI costs are wasted on irrelevant information.
Cost Comparison
Traditional AI (All Context)
PROCUX Progressive Disclosure
99% Cost Reduction
How Progressive Disclosure Works
Intent & Domain Classification
Classify query intent (analytical, strategic) and domain (financial, marketing)
Base Context Analysis
Extract key entities, time references, stakeholders
Agent-Specific Template
Apply CFO template for financial queries, CMO for marketing, etc.
Context Source Gathering
Prioritize sources by relevance to agent and domain
Relevance Scoring
Score each context component (0-1), filter low-relevance items
Enriched Context Output
Final filtered context (10-20% of total data)
Agent-Specific Templates
Each C-level executive has a specialized context template:
Financial, budgeting, forecasting, risk management
Marketing, campaigns, customer insights, branding
Technology, architecture, security, infrastructure
Strategy, vision, stakeholder, growth
Context Source Confidence
Production Impact
Start Saving on AI Costs
See your potential savings with our ROI calculator