Schedule a Demo

ContextIQ: The AI-Ready Data Foundation

End-to-end build of modern, AI-ready data platforms designed to deliver business value in months, not years.

Read Fact Sheet
THE CHALLENGE

Overcoming Strategic Friction in Clinical and Commercial AI

Healthcare leaders face Operational Fragmentation. Traditional AI is “context-blind,” tied to legacy silos that create “Data Debt”—the compounding cost of quality issues and manual workarounds. This creates an Intent Gap where 73% of enterprise metadata is unused. Without context, AI produces Technically Plausible but Operationally Wrong outputs that erode trust.

ContextIQ

Bridging the Enterprise AI Context Gap

Enterprise AI often fails due to a “Context Gap.” ContextIQ is Saama’s 12-week engagement that builds a validated Intelligence Layer to make AI accurate and explainable.

Read Case Study

The 12-Week Agentic Transformation (Solutions)

Pillar 1: Context Gap Discovery (Weeks 1–3)

Identifying tribal knowledge gaps limiting AI ROI.
Context Gap Score™
Auditing data to find where AI loses business intent.
Strategic Roadmap
Prioritized implementation for high-impact use cases.

How Saama Helps

Synchronizing Enterprise Logic through a Context Graph

Saama creates a Unified Intelligence Layer. ContextIQ builds a Context Graph—the semantic foundation needed to transition from passive records to proactive “Systems of Action.” We adjudicate knowledge. Saama surfaces logical conflicts for human sign-off, ensuring your AI reasons from a “Golden Record” of institutional intent.

Read Case Study

Pillar 2: Context Graph Construction (Weeks 4–8)

Removing manual engineering bottlenecks.
LLM Cognitive Architect
Extracts definitions from unstructured "dark data."
Structured Adjudication
Resolves conflicting logic via role hierarchy.
Human-in-the-Loop Governance
Domain owners "lock" nodes for clinical consistency.

Pillar 3: AI Agent Activation & Integration (Weeks 9–11)

Deploying AI agents grounded in validated business rules.
Real-Time Data Liquidity
Automating source-target mapping at machine speed.
Explainable AI
Traceable decisions for GxP-ready auditability.

Saama Llama Impact

↑ 4× AI Answer Relevance | 60% Lower TCO.

Measurable Impact of ContextIQ

The following table captures the quantified returns of grounding your AI in a validated Context Graph.
MetricTraditional / BeforeWith ContextIQChange / Lift
AI Project Success Rate13%71%↑ 5.5x Increase
Time-to-Market (Data Products18 Months12 Weeks40% Faster TTM
Data Engineering ReworkBaseline−55% Cycles↓ Rework Costs
Prior Auth / Mapping Cycles7 days< 4 hours97% Reduction
Unstructured Data Utilization< 5%> 85%Maximized IQ

The Saama Advantage: Domain DNA

The Saama Advantage: Domain DNA

Saama’s differentiator is 25+ years of Data DNA in complex, regulated industries.

1

Life Sciences

Automating CDISC mapping with FDA audit trails.

2

Financial Resilience

Using KPI intent to eliminate overpayments and waste.

3

Zero Data Exfiltration

Extraction runs within your private cloud.

Erase the Friction. Own the Context.

In a world of generic LLMs, your only defensible advantage is Institutional Meaning. Restore integrity with ContextIQ.

Read Case Study