How do you assess whether business data is ready for AI?
A practical assessment of source coverage, definitions, freshness, permissions, and traceability, with acceptance examples.
OPENLOCK UNDERSTAND THE FOUNDATION
AI data readiness guides and resources.
A closer look at AI data readiness.
These AI data readiness guides explain how disconnected information becomes a governed foundation for business questions, models, and agents.
READ PRACTICAL GUIDES
Work through the questions
behind a buying decision.
What does Managed DataOps include?
Define monitoring, maintenance, incident handling, change review, recovery, and the responsibilities an operating agreement needs.
How does OpenLock complement a data warehouse or RAG system?
Compare storage, retrieval, and business context, then decide where a governed data foundation would add value.
How can manufacturers connect demand, bills of materials, and inventory?
Follow a reproducible sourcing walkthrough with hypothetical records, arithmetic, validation checks, and planning limitations.
Concrete checks, examples, and limitations. These guides describe intended approaches and hypothetical scenarios, not production results.
01 THE CUSTOMER GUIDE
The full story, in one guide.
The OpenLock Customer Guide
A 24-page overview of the readiness problem, the data foundation, internal Builder agents, a worked sourcing example, sovereignty, implementation, and ongoing operation.
Read the customer guideThe guide opens as a PDF in a new tab.
Explore the platform02 A SHARED LANGUAGE
The terms behind the work.
- AI data readiness
- Approved information that is usable for a defined AI task, with the context, quality, freshness, and controls it needs.
- Data foundation
- The connected stores, definitions, relationships, access rules, and operating processes that make business information reusable.
- Business meaning
- What a record, field, identifier, or relationship means in your organization, beyond its technical format.
- Entity resolution
- Determining whether records refer to the same person, business, product, or asset. Distinct relationships are recorded separately.
- Lineage / provenance
- The record of where information came from and how it was transformed, linked, or used in an answer.
- Builder agent
- An internal assistant that helps profile data, ask questions, and propose mappings or tests within approved boundaries.
- Governed interfaces
- Controlled ways for approved tools to request information, such as APIs or Model Context Protocol (MCP) connections.
- Managed DataOps
- The ongoing monitoring, maintenance, review, and improvement of the connected foundation.
03 READINESS IN PRACTICE
Ready for a purpose.
Readiness belongs to a defined task. Yesterday’s inventory may support a monthly planning question and be unsuitable for immediate fulfillment. Seven dimensions help establish the evidence a task needs.
01Accessible
Approved access and repeatable connections.
02Consistent
Agreed formats, units, and definitions.
03Connected
Reviewed relationships across records.
04Fit for purpose
Sufficient coverage and reconciled answers.
05Current
Visible freshness and agreed requirements.
06Governed
Enforced permissions and named owners.
07Traceable
Source evidence and reproducible calculations.
04 CHOOSING A DATA PARTNER
Questions to ask before starting.
What is OpenLock?
OpenLock is a data-and-AI engineering company developing a customer-controlled platform and managed service for AI data readiness. Its focus is connecting approved business information, preserving its meaning, and preparing governed access for the models and agents a customer chooses.
What does an AI data readiness engagement involve?
Start with a defined business question, identify the approved sources, agree on business definitions and access boundaries, and validate the answer against source evidence. The implementation and ongoing service are scoped for the engagement.
What is Managed DataOps?
Managed DataOps is the ongoing monitoring, maintenance, review, and improvement of the connected data foundation. For OpenLock, responsibilities and service commitments are agreed for each engagement.
Can OpenLock work with our existing business systems?
Existing systems can keep their operating roles. OpenLock begins by assessing approved source categories such as ERP, CRM, spreadsheets, documents, and operational records. Connections, permissions, and compatibility need to be evaluated for each project.
How do we discuss a project with OpenLock?
Use the contact form to describe the business question, the systems holding the information, and any deployment or data-access requirements. OpenLock can then discuss scope and the next steps for a potential engagement.
NEXT START WITH A REAL QUESTION
What should your business be able to answer?
Tell us the question, where the information lives, and what a useful result would change.