The Problem
The Pricing Problem with AI
Most AI pricing models are designed for experimentation, not production. Context OS aligns pricing with value, governance, and measurable outcomes, not token consumption
Governed decisions determine pricing, not usage volume
Reduced risk is reflected in cost alignment
Faster audit-readiness drives pricing efficiency
Human oversight elimination lowers operational expense
Learn About Context OS
Governed Decisions
Pricing focuses on how many enterprise decisions were governed under Context OS, reflecting real operational value
Risk Reduction
Costs scale with measurable risk mitigation, ensuring enterprises pay for impact, not arbitrary computation usage
Audit Readiness
Pricing rewards systems that accelerate audit readiness and compliance, aligning cost with accountability and traceability
Oversight Savings
Eliminating safe, human-in-the-loop oversight reduces operational cost while maintaining governance and reliable AI performance
Pricing Tiers
Tailored Pricing for Every Enterprise Stage
Final pricing is customized after architecture and governance assessment. Context OS scales from pilots to mission-critical deployments, ensuring predictable costs and governed outcomes for every team
AI Risks
The Real Cost of Ungoverned AI
Context OS pricing reflects the value of mitigating regulatory, operational, and competitive risks, ensuring enterprises pay for governance and measurable impact rather than raw computation
Regulatory Findings
Non-compliant AI can trigger multi-million dollar penalties and formal consent orders, creating financial and reputational risk
Context OS ensures governance and auditability, preventing violations before they escalate
Avoid costly regulatory penalties and protect enterprise reputation
Incident Investigation
Ungoverned AI incidents require weeks of engineering to reconstruct events and trace errors
Context OS captures decision lineage in real time, reducing investigation time drastically
Accelerate incident resolution and significantly reduce operational overhead
Failed Audit
Lack of governance leads to failed audits, remediation projects, and delayed initiatives
Context OS maintains compliance-ready systems, ensuring smooth, auditable operations every time
Ensure audits pass efficiently without costly remediation
Compliance Reconstruction
Manual evidence assembly for compliance is time-consuming and error-prone in ungoverned environments
Context OS automates evidence collection and decision tracking across systems
Streamline compliance and reduce manual labor efforts
Competitive Delay
Building AI in-house without governance can delay product launches by 18–24 months
Context OS accelerates safe deployment with governed, reusable AI infrastructure
Accelerate launches and reduce delays by deploying AI safely with full governance
Operational Risk
Ungoverned AI introduces hidden operational risks impacting productivity, cost, and decision quality
Context OS mitigates risks with monitored workflows, transparent decisions, and accountable execution
Reduce operational risks while maintaining reliable AI performance
Pricing Structure
Three Predictable Components
Context OS pricing is designed for enterprise transparency. Each component is predictable, auditable, and aligned with governed AI outcomes, ensuring no hidden costs or ambiguity
Platform License
Covers governance infrastructure consistently, regardless of AI usage
Governed Context Graph automated assembly
Complete Decision Lineage capture
Structural policy enforcement engine for all workflows
Explicit authority verification framework
Always-on governance infrastructure ensures predictable enterprise control
Governed Decision Volume
Usage pricing applies only to executed governed decisions, fully metered
Context assembly and comprehensive validation
Policy evaluation and rules enforcement
Decision rights verification and approval tracking
Decision Lineage and rollback
Transparent pricing scales with executed decisions, not system usage
Environment & Scale
Pricing reflects production, standby, and deployment realities, not usage spikes
Production environment counted fully
DR/standby environments weighted reduced
Deployment model options
SLA and compliance commitments
Align costs with operational scope and compliance requirements
ROI & Impact
Maximizing ROI Through Governed AI
Context OS delivers measurable business impact by accelerating decisions, reducing risk, and improving operational efficiency. Enterprises see faster incident resolution, audit readiness, and substantial cost savings
Faster Incident Resolution
Organizations resolve incidents up to 96% faster, saving time and reducing bottlenecks across workflows
Context OS automates decision capture and governance, drastically shortening investigation and remediation cycles
Recover engineering time while improving operational reliability
Audit Preparation
Audit readiness improves by up to 98%, reducing compliance overhead and accelerating regulatory reporting
Governed ContextGraphs and decision lineage ensure all evidence is traceable and auditable instantly
Reduce compliance costs and speed audit cycles
Reduced Manual Oversight
Manual oversight is cut by up to 70%, freeing teams for higher-value work and productivity
Context OS monitors decisions autonomously while enforcing policies and maintaining governance standards
Boost operational efficiency with fewer human interventions
Faster Decision Cycles
Decision cycles accelerate up to six times, enabling rapid business responsiveness and higher throughput
Context OS provides traceable, governed AI recommendations that streamline enterprise decision-making
Increase business velocity while maintaining governance and trust
CFO Perspective
What CFOs Ask About AI
CFOs want to understand AI risk, compliance costs, and ROI. Context OS provides measurable metrics, traceable decisions, and predictable pricing aligned with enterprise governance goals
AI Risk
Measure AI exposure accurately using Trust Benchmarks and governed decision metrics
Audit Cost
Evidence is produced by construction, reducing audit costs and preparation time
Incident Impact
Decision Lineage retrieval mitigates costs from AI-driven incidents or errors
Scale Safely
Progressive Autonomy enables enterprise scaling without increasing governance risk
ROI Timeline
Most deployments achieve positive ROI within 4–6 months of adoption
Max Exposure
Contractual spend caps ensure predictable financial exposure for AI systems
FAQ
Frequently Asked Questions
No. Pricing is based on governed decision execution, not tokens, prompts, or model calls. Use any models, agents, and tools — Context OS governs decisions, not computation
One complete execution cycle: context assembly → policy evaluation → authority verification → enforcement → Decision Lineage capture. Retries, rollbacks, or blocked decisions are not double-billed
The opposite. As autonomy grows through Progressive Autonomy, human oversight decreases, improving unit economics. Higher trust levels unlock better rates, contractually defined
Yes. Contractual spend caps are available. Volume commitments can be locked in for better rates, ensuring predictable enterprise budgeting
Request Predictable, Transparent, and Governed AI Infrastructure Pricing
Get customized pricing built on transparency, trust, and measurable governance value — aligned with your enterprise goals, not ambiguous consumption metrics