Insight Ready Platform™ Pricing

PHASE 1

Governed Foundation

Fixed-scope implementation inside your Azure environment — production-ready in 6 to 12 weeks

$85,000

One-time implementation fee

6 TO 8 WEEKS

A fully production-ready governed foundation with executive dashboards and an AI-ready semantic layer — everything needed for a clean, confident transition to Professional IDPaaS.

✓ Foundation Environment established — conformed dimensions, reconciled fact tables, semantic alignment rules, lineage capture, and AI-ready data structures

✓ Governed ingestion for 3 to 5 priority data sources

✓ Business-aligned semantic layer with initial KPI registry

✓ Executive dashboard built in Power BI on governed, consistent KPIs

✓ Data quality scorecards and automated validation rules

✓ 6 to 8 week delivery with weekly check-ins

✓ 90 days of post-deployment support and enhancements

✓ Founder-led executive briefing at delivery

Ideal for organizations establishing a governed analytics foundation before transitioning to Professional IDPaaS.

Implementation credit applied toward Professional IDPaaS subscription.

$150,000

One-time implementation fee

8 TO 12 WEEKS

A fully governed, multi-domain foundation for complex regulated environments — built to transition seamlessly into Enterprise IDPaaS at scale.

✓ Foundation Environment established across multiple domains — conformed dimensions, reconciled fact tables, semantic alignment rules, lineage capture, and AI-ready data structures

✓ 5 or more data sources with complex transformations and cross-domain dependencies

✓ Department-specific dashboards and cross-functional KPI alignment

✓ Advanced compliance, audit, and governance framework

✓ Cross-functional semantic layer with governance workflows

✓ 8 to 12 week delivery with dedicated project management

✓ 180 days of post-deployment support

✓ Founder-led executive briefing at delivery

Ideal for complex regulated environments requiring enterprise-scale foundations before transitioning to Enterprise IDPaaS.

Implementation credit applied toward Enterprise IDPaaS subscription.

PHASE 2

Insight Ready Platform™ (IDPaaS)

Fully managed, all-inclusive subscription — everything included, nothing hidden

PROFESSIONAL

Insight Ready Platform™

$80,000/mo

Annual contract · All Azure infrastructure included

✓ Bronze to Silver to Gold pipeline architecture

✓ Up to 8 data sources (50TB total storage, 5TB per month ingestion)

✓ 5 to 7 executive dashboards in Power BI

✓ Business-aligned semantic layer with governed KPI registry

✓ Automated anomaly detection and forecasting (classical ML)

✓ Natural-language query powered by Azure OpenAI — runs entirely inside your Azure tenant

✓ Automated data quality validation and monitoring

✓ Daily monitoring and 40 hours monthly platform enhancements

✓ Bi-weekly platform updates and quarterly reviews

Predictable Scaling Rates

• Additional data source: $5,000 per month

• Additional dashboard: $3,500 each

• Storage overage: $480 per TB per month

• OpenAI token overage: $60 per 100K tokens

• Additional forecasting model: $9,000 to $12,000 per month

Ideal for organizations replacing a full data team, BI function, and mid-scale cloud environment with a fully managed, governed platform.

ENTERPRISE

Insight Ready Platform™

$135,000+/mo

Annual contract · Tailored to your scale · All Azure infrastructure included

✓ Bronze to Silver to Gold pipeline architecture

✓ Unlimited data sources (100TB+ storage capacity)

✓ Unlimited executive dashboards in Power BI

✓ Business-aligned semantic layer with full governance automation

✓ Automated anomaly detection and forecasting (classical ML)

✓ Natural-language query powered by Azure OpenAI — runs entirely inside your Azure tenant

✓ Automated data quality validation and monitoring

✓ Daily monitoring and dedicated enhancement team

✓ Bi-weekly platform updates and quarterly reviews

✓ Dedicated governance intelligence engine with full KPI registry automation and drift detection

Custom Scaling

• All additional capabilities scoped and priced based on organizational requirements

• Multi-year commitments available with adjusted rate structures

• Global rollouts and multi-site deployments supported

• Enhanced SLA options available

Ideal for complex, regulated, multi-department environments requiring enterprise-scale infrastructure, dedicated AI and ML resources, and full governance automation.

Additional Data Domains

Contact for pricing

Expansion of governed pipelines and semantic models to new operational, clinical, financial, or third-party data domains. Each domain expansion includes source connection, Bronze to Silver to Gold pipeline build, semantic layer integration, KPI alignment, data quality rules, and lineage capture.

Why this pricing: Scope varies significantly by domain complexity, source system architecture, transformation requirements, and compliance constraints — a scoped engagement ensures accurate delivery and no surprises.

Additional KPI Families

$12,000 to $18,000 per KPI family

Expansion of the KPI registry to new metric families with full semantic alignment. Each KPI family expansion includes semantic layer changes, cross-domain logic validation, governance workflow updates, version-controlled definition documentation, and Control Panel integration.

Why this pricing: Expanding a KPI family requires semantic layer development, validation against existing definitions, and governance workflow configuration — typically a 2 to 3 week engagement depending on cross-domain complexity.

Advanced AI Insights — Additional Forecasting Models

$9,000 to $12,000 per model per month

Additional forecasting models beyond what is included in the base subscription tier. Each model is built, trained, validated, and deployed entirely inside the client’s Azure tenant — with full lineage, audit-ready documentation, and MLOps scaffolding for model monitoring and retraining.

Why this pricing: Each additional model requires dedicated pipeline development, training infrastructure, and ongoing MLOps operations inside the client environment. Pricing is consistent with the custom ML model rates in the base tier scaling schedule.

IDPaaS reduces three-year TCO by an estimated 28% to 72% depending on tier and organizational context.

Organizations shifting from capital-intensive internal builds to a fixed-fee managed platform gain financial predictability, accelerated ROI, and immediate AI readiness — without the 18 to 24 month lag and multi-million-dollar staffing burden typical of DIY approaches in regulated industries.

Professional Tier

$80,000 per month — $2.88M over three years

Compared to hiring and maintaining a full in-house data team, BI function, and mid-scale Azure cloud environment with equivalent governed analytics capability.

Enterprise Tier

$135,000+ per month — $4.86M+ over three years

Compared to a complex regulated multi-department build with dedicated AI and ML resources, enterprise-scale Azure infrastructure, and full governance automation.

Economic Efficiency

IDPaaS converts unpredictable CapEx and staffing volatility into a fixed OpEx model. Organizations eliminate $750K to $1.8M in cloud infrastructure costs, $2.46M to $2.85M in staffing costs, $600K to $1.2M in AI and ML project costs, and $500K to $900K in unplanned rework and technical debt. The result is multi-million-dollar savings and dramatically improved cost predictability over a three-year horizon.

Risk Mitigation and Operational Transfer

The IDPaaS subscription transfers platform performance, security and compliance, monitoring and DevOps, MLOps and AI operations, and break-fix and technical debt management to On Point BI. This removes the organization’s exposure to talent shortages, attrition, and operational fragility — risks that are structurally higher in regulated environments where data engineering talent is scarce and compliance requirements are non-negotiable.

Velocity and Competitive Advantage

With IDPaaS, organizations reach production in 6 to 8 weeks, not 18 to 24 months. This acceleration unlocks faster decision cycles, earlier ROI, rapid AI adoption on a governed foundation, and competitive differentiation in markets where data-driven operations are increasingly a baseline expectation. Time-to-value becomes a strategic asset instead of a sunk cost.

The fundamental choice is not between building and buying.

It is between delayed value creation with elevated risk versus immediate capability deployment with predictable economics. IDPaaS transforms analytics from a capital-intensive, multi-year initiative into an operationalized, value-generating capability available in weeks.