FOR AI AGENTS IN REGULATED INDUSTRIES
We deliver governed data pipelines, semantic drift detection, and agent‑ready governance — so your AI agents act on definitions your compliance team has certified.
AI‑First Information Services
Modern Data Foundations
Agent‑Ready Governance
If you’re exploring AI‑first information services to modernize your data foundation or deploy safe, governed AI agents, 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 deploy safe, compliant AI agents.
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
AI agents — whether copilots, autonomous analysts, or workflow automation — inherit the semantic environment they query. When a clinical trial agent calculates safety metrics, which definition of ‘adverse event’ does it use? Without semantic governance, the answer is unknowable. AI readiness is not a model selection problem. It is a semantic 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 4 to 10 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
✓ Agent‑ready semantic registry — certify metric definitions that AI agents can query programmatically before acting (Pioneer Program)
From $80,000/month — platform management and governance included
GOVERNANCE PLATFORM
Semantic Drift Intelligence™
The semantic contract layer your AI agents depend on.
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
✓ Agent semantic certification — register authoritative definitions that agents query before acting, with full audit lineage (Pioneer Program)
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. Modernization establishes the semantic stability required for safe AI agent deployment.
Custom engagement pricing — fixed-scope modernization engagements available
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. This combined stack also provides an agent‑ready semantic governance layer that makes AI deployment safe and auditable.
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.
Agentic AI requires semantic stability — both platforms enforce the definitions AI agents rely on.
SEMANTIC GOVERNANCE FOR AI
Portability Moves Definitions. Governance Makes Them Trustworthy.
The industry is converging on open semantic interchange (Snowflake OSI, dbt Semantic Layer) for metric portability. That’s necessary — but not sufficient for regulated industries where AI agents must act on certified, auditable definitions.
On Point BI adds the governance layer that open interchange standards don’t provide:
✓ Certified metric definitions with full audit lineage
✓ Agent semantic contracts with version control
✓ Drift detection across SQL, BI, and AI systems
✓ Compliance workflows for regulated environments
✓ Time‑bound and context‑aware definitions for complex business rules
✓ Provenance and confidence scoring for every metric
Portability moves definitions. Governance makes them trustworthy. For safe AI deployment in regulated industries, you need both.
TRUST & COMPLIANCE
Built for Regulated Environments
Deployed in your Azure tenant. Designed for HIPAA-aligned architecture. SOC 2 controls. Data never leaves your environment. Your IT security and compliance teams review one identity model, not two.
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. AI agents used for clinical, operational, or financial workflows require consistent definitions to avoid patient safety and compliance risk.
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. AI agents supporting regulatory, clinical, or commercial workflows must operate on certified definitions to satisfy GxP and FDA expectations.
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. AI agents used for risk, compliance, or reporting must rely on consistent, auditable metric definitions.
WHO THIS IS FOR
Designed for the Roles That Govern AI
Data Engineering Leaders
Deploy governed, agent-ready infrastructure without building it yourself. IDPaaS delivers the foundation; you maintain control.
Compliance Officers
Audit every definition your AI agents act on, with full lineage. SDI provides the traceability regulators require.
AI/ML Leaders
Give your agents a certified source of truth they can trust. Semantic contracts make AI deployment safe and defensible.
PLATFORM FOUNDATION
Built on Microsoft Azure — Deployed Inside Your Tenant
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. These Azure‑native architectures provide the governed substrate required for safe AI agent execution.
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.
Free Semantic Drift Diagnostic
We’ll analyze your SQL, BI metadata, and documentation to identify where metric definitions have diverged — and which definitions are at risk of causing AI agent errors. No commitment. No raw data leaves your environment.
Pioneer Program — early adopters help shape the roadmap
Ready to Build a Governed, AI-Ready Analytics Foundation?
Talk to our team about building an agent‑ready data foundation — and which platform fits your organization’s current state: IDPaaS, SDI, or the combined stack with the $60,000 implementation credit applied.