AI-Ready Data • Cleansing & Alignment

Your Data. Aligned for AI.

We cleanse, structure, and semantically align your customer data so LLMs, copilots, and agentic systems can understand and act on it with accuracy and context.

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The Problem

Most AI projects stall — not because of the models — but because the data doesn’t make sense across teams and systems.

Inconsistent definitions
“Customer,” “account,” and “lead” mean different things in different systems.

Duplicates & gaps
Conflicting records, missing fields, and stale data break AI reliability.

No semantic layer
Models need context, ontologies, and relationships — not just raw tables.

Weak governance
Ownership, lineage, and policies are unclear — making AI risky.

What You Get

AI-Readiness Report & Score
Clear gaps, prioritized roadmap, executive-ready summary.
Cleansed & Unified Records
De-duped, standardized, enriched customer profiles.
Semantic Alignment Layer
Ontologies, taxonomies, and relationships models understand.
Governance Blueprint
Ownership, lineage, compliance controls for safe AI.

Our Solution: Build the AI-Ready Foundation

A focused, three-phase engagement that takes you from audit to aligned data — ready for AI.

Phase 1 • 2 Weeks

Assess & Score

Inventory sources, map entities, quantify quality, bias, and coverage. Deliver an AI-Readiness Report & roadmap.

Phase 2 • 4–6 Weeks

Cleanse & Align

De-duplicate, standardize, enrich, and reconcile semantics across CRM, support, product, and billing data.

Phase 3 • Optional

Structure for AI

Create ontologies/knowledge graphs, metadata layers, and retrieval patterns so LLMs and agents perform reliably.

Continuous

Govern & Monitor

Ownership, lineage, PII handling, and drift monitoring so your AI stays safe and effective.

Industries We Serve

Deep experience where data is complex and compliance matters.

Pharma / Life Sciences Insurance Financial Services Manufacturing B2B SaaS

Selected Proof Points

Insurance — Campaign AI Prototype

Delivered multi-agent orchestration in days using a semantic mapping backbone; accelerated time-to-insight for marketing ops.

Pharma — Field Support Agents

Raised on-time structured submissions by ~40% and cut late reports by ~60% via automated capture, validation, and enrichment.

Pharma — Data Harmonization

Unified field, medical, and regulatory data; enabled reliable retrieval for LLM copilots across business units.

Engagement at a Glance

Phase	Deliverable	Typical Duration
1	AI-Readiness Report & Scorecard	2 weeks
2	Cleansing & Semantic Alignment	4–6 weeks
3	Optional AI Integration Plan	~2 weeks

Ready to make your data make sense — for AI?

Start with a free AI Readiness Assessment call. We’ll review your sources, surface the gaps, and outline a roadmap to aligned, AI-ready data.

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