We deliver governed data pipelines, modern EDWs, and drift‑aware automation through a unified product ecosystem built for enterprise scale.
AI‑First Information Services
Modern Data Foundations
Enterprise‑Ready Decisions
If you’re exploring AI‑first information services to modernize your data foundation or accelerate AI adoption, we can help you take the next step.
Our AI‑first information services modernize data platforms, unify meaning across systems, and establish the governed foundation organizations need to accelerate AI adoption.
THE PROBLEM
Regulated Organizations Face a Specific Set of Data and AI Challenges
Healthcare, life sciences, pharma, CDMO, insurance, and financial services organizations operate under governance and compliance requirements that generic data platforms were not designed to satisfy. Three problems appear consistently across regulated enterprises. First, an analytics environment that cannot produce consistent, trusted metrics. Second, a governance program that monitors metadata but cannot see how business definitions change across SQL, BI, and AI systems. Third, an AI adoption timeline that stalls because the data foundation is not stable enough to deploy models safely. On Point BI builds platforms designed to solve these problems from the start — not general-purpose tooling adapted for regulated environments after the fact.
Ungoverned Analytics
Building a governed, AI-ready analytics environment from scratch typically requires 18 to 24 months, a dedicated team of five to eight data professionals, and multi-million-dollar infrastructure budgets — before producing a single trusted dashboard. As a result, organizations face delayed ROI, high talent attrition risk, and an analytics foundation that demands constant maintenance rather than delivering continuous value.
Semantic Drift
SQL evolves. BI logic changes. Documentation lags. Meanwhile, AI agents learn from all of it. The same metric means different things in different systems, and no one has visibility into when the divergence happened or how severe it has become. Metric disputes in executive meetings, AI hallucinations in production, and audit findings about undocumented definition changes are all symptoms of the same underlying problem — semantic instability.
AI Readiness
LLMs, copilots, and ML models inherit the semantic environment they are trained on. Consequently, organizations that deploy AI on top of an ungoverned, semantically inconsistent data environment find that models amplify the instability rather than overcome it. AI readiness is not a model selection problem. It is, fundamentally, a data foundation problem.
OUR PLATFORMS
A Managed Analytics Platform and a Semantic Governance Platform — Built for Regulated Enterprises.
Insight Ready Platform™ and Semantic Drift Intelligence™ are independent products with distinct value propositions — and a natural relationship. Specifically, IDPaaS is the managed analytics platform that builds the governed foundation, while SDI governs the meaning that runs through it. Organizations can deploy either product independently, or combine them for a complete governed analytics and semantic governance stack.
MANAGED PLATFORM
Insight Ready Platform™
A managed analytics platform — fully governed, AI-ready, and delivered inside your Azure tenant.
Insight Ready Platform™ (IDPaaS) is a managed analytics platform that replaces the internal data team, platform management overhead, and analytics build program with a single, all-inclusive subscription. Delivered inside the client’s Azure tenant, it provides a governed Bronze-to-Silver-to-Gold pipeline architecture, semantic layer, Power BI dashboards, and continuous AI capabilities — all managed by On Point BI through the governance layer.
✓ Production-ready in 6 to 8 weeks — not 18 to 24 months
✓ All platform management, pipeline operations, governance, BI, and AI in one monthly subscription — deployed inside your Azure tenant
✓ 28% to 55% three-year TCO reduction versus internal build
From $80,000/month — platform management and governance included
GOVERNANCE PLATFORM
Semantic Drift Intelligence™
The control plane for meaning across SQL, BI, documentation, and AI systems.
Semantic Drift Intelligence™ (SDI) continuously detects, explains, and governs how business definitions change across SQL warehouses, BI tools, documentation systems, and AI agents. It gives data and analytics leaders the visibility, ownership workflows, and governance controls needed to maintain semantic stability at scale. The result is a foundation that makes AI adoption safe and defensible under regulatory scrutiny.
✓ Detects semantic drift before it produces metric incidents or AI governance failures
✓ Deployed inside the client’s Azure tenant — no raw data leaves your environment
✓ Four-week implementation — production-ready semantic observability from day one
From $8,500/month + $120,000 one-time implementation
Data Warehouse Modernization
For organizations not yet ready for IDPaaS, Data Warehouse Modernization builds the governed foundation required to transition — modernizing legacy pipelines, establishing Bronze-to-Silver-to-Gold architecture, and preparing the environment for IDPaaS or SDI.
IDPAAS + SDI BUNDLE
IDPaaS Clients: $60,000 Credit Toward SDI Implementation
$60,000 credit
Organizations already subscribed to Insight Ready Platform™ receive a $60,000 credit applied toward the $120,000 Semantic Drift Intelligence™ implementation fee — distributed across the first year of the SDI subscription, reducing the effective monthly cost during year one. The SDI subscription starts at the standard published rate.
This is On Point BI meeting IDPaaS clients halfway — a recognition of your commitment to governed analytics and our commitment to the partnership. Moreover, organizations who add SDI gain a complete governed analytics and semantic governance stack — the foundation and the control plane for meaning, operating together inside their Azure environment.
WHY ON POINT BI
What Makes This Managed Analytics Platform Different From Everything Else in the Market
The regulated analytics and governance market is crowded with general-purpose tools, consulting engagements, and platforms built for commercial enterprises and then adapted for regulated industries. By contrast, On Point BI builds platforms designed for regulated environments from the start — with governance, compliance, and deployment architecture built in, not bolted on.
Regulated-industry architecture from the start
Both platforms are designed specifically for the governance, compliance, and audit requirements of healthcare, life sciences, pharma, CDMO, insurance, and financial services — not adapted from commercial-market platforms.
Your data stays in your Azure tenant
Both platforms deploy inside the client’s Azure environment. IDPaaS manages the analytics layer through the governance control plane, while SDI’s client agent extracts semantic artifacts only — no raw data leaves the client environment at any point.
Subscriptions, not projects
These are subscription products with published pricing, documented scope, and predictable economics. As a result, organizations eliminate the project-based engagement model and the budget volatility that comes with it.
Proprietary platforms, not assembled tooling
IDPaaS is a purpose-built AKS-based managed analytics platform. Similarly, SDI is a purpose-built AKS-based semantic observability platform. Neither is a consulting methodology wrapped around third-party SaaS tools.
Governance is the product, not the add-on
Most analytics platforms treat governance as a feature. By contrast, both IDPaaS and SDI treat governance as the core architectural principle — the Bronze-to-Silver-to-Gold pipeline, the semantic registry, audit trails, and compliance workflows are foundational, not optional.
REGULATED INDUSTRIES
Built for the Industries Where Governance Is Not Optional
IDPaaS and SDI are deployed in healthcare, life sciences, and financial services — regulated environments where governance, compliance, and AI safety are non-negotiable. The cost of semantic instability here is measured in audit findings, delayed decisions, and failed AI deployments.
Healthcare
Clinical, operational, and financial data that cannot be reconciled across systems creates real patient safety and compliance risk.
IDPaaS: Delivers a governed analytics foundation with HIPAA-aligned architecture — connecting EHR, claims, and operational data into a consistent, auditable analytics layer that clinical and operational leaders can trust.
SDI: Monitors clinical and operational metric definitions for semantic drift — detecting when KPI definitions diverge across SQL, BI, and documentation before they produce conflicting reports or audit exposure.
Life Sciences and Pharma
GxP, FDA, and regulatory submission requirements demand that data definitions are controlled, documented, and traceable — an environment where semantic drift is not just a governance problem, it is a compliance risk.
IDPaaS: Delivers a governed, audit-ready analytics foundation for R&D, clinical, regulatory, and commercial data — with pipeline architecture and semantic alignment designed to satisfy GxP and 21 CFR Part 11 traceability requirements.
SDI: Provides continuous semantic monitoring for life sciences organizations where undocumented definition changes create direct regulatory exposure — producing the auditable change record that compliance and validation teams require.
Financial Services
Risk, compliance, and reporting obligations require metric definitions that are consistent, documented, and defensible under regulatory examination.
IDPaaS: Delivers a governed analytics foundation for financial and mortgage organizations — connecting origination, servicing, and risk data into a consistent, audit-ready analytics layer aligned to SOC, Basel, and equivalent compliance frameworks.
SDI: Monitors financial metric definitions for semantic drift — ensuring that risk, compliance, and performance KPIs mean the same thing in SQL, BI, and AI systems, and producing the audit trail regulators require when definitions change.
PLATFORM FOUNDATION
Built on Microsoft Azure — Deployed Inside Your Tenant
Importantly, Importantly, both IDPaaS and SDI are built on Microsoft Azure and deploy inside the client’s Azure tenant. Organizations that have invested in Azure, Microsoft Fabric, and Power BI get platforms that extend and govern that investment — not competing infrastructure running alongside it.
Azure Data Platform
AKS, Azure SQL, Azure Data Factory, Synapse Pipelines, Azure Functions, Key Vault, Service Bus, and Log Analytics. These are the Azure services that power IDPaaS and SDI — the same services your organization already governs, procures, and audits.
Microsoft Fabric and Power BI
IDPaaS delivers executive dashboards and semantic models built on Power BI, with pipeline architecture aligned to Microsoft Fabric patterns. Your BI investment is extended and governed — not replaced.
Entra ID and Security
Both platforms authenticate using Entra ID Workload Identity Federation. No stored credentials, no VPNs, no cross-tenant data access. Your IT security and compliance teams review one identity model, not two.
RECENT RESOURCES
Executive Guides and Case Studies
The resources below are written specifically for data and analytics leaders evaluating platform investments, modernization approaches, and AI readiness in regulated environments.
Data Warehouse Modernization Guide
An executive-level overview of modernization drivers, cloud platform options, governance requirements, and a proven roadmap for AI-ready architecture.
Enterprise Data Strategy Guide
A comprehensive guide to building an enterprise data strategy — from governance frameworks and platform selection to AI readiness and organizational capability.
AI Strategy and Transformation Guide
The executive guide to AI strategy and transformation — five phases from data landscape assessment to fully operationalized AI on a governed modern data platform.
Ready to Build a Governed, AI-Ready Analytics Foundation?
Talk to our team about which platform fits your organization’s current state — IDPaaS, SDI, or the combined stack with the $60,000 implementation credit applied.