Data Ready

Make One AI Use Case Reliable Without Rebuilding Your Entire Data Stack

When an AI pilot gives inconsistent answers, the model is often blamed first. The harder problem usually sits upstream: unclear systems of record, duplicate records, missing permissions, stale documents, or no agreed example of a correct result.

Larger organizations do not need another consultant proposing a company-wide data rebuild before any value can ship. We scope the data work to one use case, connect the authoritative sources it needs, and document how data moves, who can access it, how quality is measured, and who owns it after launch.

This approach works whether your data lives in SharePoint, an ERP, CRM, document-management system, warehouse, file shares, or a mix of all of them.

Three Tiers

Audit: $1,500 CAD

One week. "Is our data ready?"

• Inventory of all data sources, formats, and volumes
• System-of-record and access review for the target AI use case
• Gap analysis for retrieval, extraction, classification, fine-tuning, or agents
• Prioritized action plan: what to fix, in what order
• Data-flow diagram and tooling recommendations
• 60-minute working session with the business and technical owners

Sprint: $4,500 CAD

2-3 weeks. "We tried RAG and the results are bad."

Everything in the Audit, plus:

• Data preparation or retrieval strategy implemented for the use case
• Cleaned dataset, document index, or normalized records ready for the pilot
• Working ingestion pipeline with failure logging
• Permissions and source metadata carried into the pipeline where available
• Evaluation set based on representative business examples
• Documentation and 1-hour walkthrough

Foundation: $9,500 CAD

4-6 weeks. "Our data is a mess. Fix it before we invest more in models."

Everything in the Sprint, plus:

• Multi-source data consolidation
• End-to-end ingestion pipeline for documents and structured data
• Retrieval pipeline tuned and evaluated against your real queries
• PII, residency, retention, and governance review
• Data lineage and ownership documentation for the in-scope sources
• Evaluation framework to measure data quality over time
• 30 days of async support

Multi-System Program: Scoped After the Audit

For business units with several source systems, internal data teams, or formal governance review.

We turn the Audit into a phased statement of work. Typical additions include several ingestion paths, role-based access, environment separation, data-quality monitoring, migration support, and coordination with your data, security, and compliance teams. Each phase has its own acceptance test and decision gate.

The Guarantee

If the Audit doesn't surface at least three actionable improvements, full refund. For Sprint and Foundation: if retrieval quality doesn't measurably improve, we keep working at no cost until it does.

Best For

• Teams that tried an AI pilot and hit a data, access, or governance wall
• Organizations with data spread across ERP, CRM, document, warehouse, and line-of-business systems
• Internal data teams that need a focused path for one AI use case rather than another enterprise-wide cleanup program
• Construction, manufacturing, distribution, retail, financial services, healthcare, technology, and professional services with document-heavy or siloed work

Some implementation work may qualify for SR&ED. Eligibility depends on the work and your tax position; confirm with your adviser.

Fixed scope. Working deliverables. All prices in CAD.