AI Readiness Assessment
Learn which AI use cases your data, systems, and teams can support today.
$2.3B
in EBITDA benefits
150+
private equity firms served
4,500+
problems solved
8K+
workshop participants
EMPOWERMENT
Know Where AI Can Start Today
AI requests usually reach the operation before the groundwork does. Process historians log thousands of tags with no data dictionary, inspection results live in scanned PDFs, and engineering and the ERP disagree on the current BOM revision. Meanwhile, buyers paste supplier pricing into personal chatbot accounts, and no written policy says which data classes may leave the network.
An AI readiness assessment from VDS scores data, systems, workflows, people, and controls against the use cases leadership want most, then ranks every gap by what it blocks. Funding decisions rest on evidence, and the first use cases launch on ground that can support them.
WHY CHOOSE VDS
AI Readiness Backed by Operating Experience
VDS reviewers work on site beside plant, IT, quality, and finance leads, walking real workflows and pulling real records, guided by decades of hands-on operating leadership. The review follows the evidence logic of the Diagnostic®, and its findings feed the VDS Business System® cadence that keeps improvement work on schedule.
Plant-Floor Reviewers
Experts who have led plants and supply chains for 15 to 30 years test each proposed use case against real shift handoffs, production schedules, and maintenance routines before rating it ready.
Scored From Real Records
Guided by the Diagnostic and the Value Driven Approach®, every score traces to sampled data, system logs, and interviews, showing exactly what blocks a use case and what clears it.
Specialists Inside Your Team
Through 360° Client Alignment®, data, process, and governance specialists join your people for the review, hand over the scoring method, and can stay on to close the gaps.
ASSESSMENT WORKFLOW
From Target Use Cases to a Ranked Plan
Each phase produces evidence the next phase relies on, ending with a plan leaders can fund and a first wave the Value Driven Approach® can take into delivery.
Frame the Use Cases
Leadership's candidate AI uses are gathered and each is tied to a workflow, an operating KPI, and a named owner. That list becomes the yardstick for every readiness score that follows.
Trace the Data
Records behind each use case get sampled, from historian tags and ERP transactions to quality, maintenance, and supplier files. Completeness, accuracy, history depth, and ownership are measured directly in the source systems.
Test Systems and Controls
Integration paths, network segmentation between plant and office, identity and access, approved tools, and data classification rules are reviewed against what each use case needs to run safely.
Gauge People and Workflows
Floor walks and interviews show how work moves today, who owns each decision, which skills exist, and how ready supervisors and planners are to change their standard work.
Score and Sequence
A readiness scorecard rates each domain, gaps are ranked by the use cases they unblock, and opportunities split into those ready now and those needing groundwork, with a recommended first wave.
CONTINUOUS IMPROVEMENT
Readiness That Keeps Pace with AI Adoption
Readiness changes as data gets cleaned, systems get upgraded, and new tools reach employees. The assessment leaves a working baseline the business can return to, so each AI decision after the readout draws on current facts about the operation and the progress made since.
Data Fixes in Payoff Order
Cleanup work is ranked by the value of the use cases it unlocks, so data engineering hours go first to the item master, sensor tags, or quality records that release the largest return.
Rules Ahead of Rollout
Approved tools, data classes allowed in each, and human review points for quality, safety, and customer decisions are written down early, giving employees clear guardrails before AI use spreads across sites.
One Fact Base for Leaders
Operations, IT, finance, and quality leaders work from the same scorecard and the same evidence, which shortens debate about where AI belongs and gives every budget request a shared, documented starting point.
A Baseline to Rescore
The scorecard can be rerun each quarter or after a major system change, showing which gaps have closed, which use cases have moved into the ready column, and where effort should shift next.
Clean Handoff to Delivery
Each ready use case leaves the assessment with its owner, data sources, required controls, and target KPI documented, so the AI Implementation team can start building from the first working day.
Frequently Asked Questions (FAQ)
An AI readiness assessment is a structured review that shows whether a business can support the AI use cases it wants and what must be fixed first. VDS scores the data, systems, workflows, people, and controls behind each use case, then delivers a ranked gap list and a recommended first wave of work.
It evaluates the records, systems, and routines each AI use case depends on. In manufacturing that usually means historian and sensor data, ERP and MES transactions, quality and maintenance records, plant network segmentation, access controls, and the skills of the planners, supervisors, and engineers who would use the tools daily.
Timing depends on the number of sites, systems, and candidate use cases in scope, and the schedule is set during the first conversation. Work runs on site and in the source systems, with interim findings shared along the way, so leaders see early gaps before the final scorecard and readout.
The assessment is the right first step when leaders already know which AI use cases they want and need evidence that the operation can support them. The AI Workshop suits teams still deciding where AI should go first. Both lead into the wider AI practice, and many companies use the workshop's 90-day plan to scope the assessment.
The assessment runs the same way whether or not a sponsor is involved. Sponsors often use it after close to decide which AI initiatives belong in the value creation plan, while pre-deal technology risk is covered by Technology Due Diligence. Sponsor priorities get fuller treatment on the Private Equity page.
DISCIPLINED ASSESSMENT
Measured Baselines. Ranked Gaps. Funded Decisions.
Readiness reviews apply the evidence standards behind published VDS work, including the pre-acquisition diagnosis of an advanced composites manufacturer and the metric-visibility systems a leading technology company gained through VDS. Every score begins from a measured baseline, so progress after the readout can be proven.
LET'S CONNECT
Ready to Know What Your AI Plans Need?
Bring your list of AI ideas and leave with a clear view of what each one requires.
VDS works beside your team to build a readiness baseline that guides AI investment from the first plant to the whole enterprise.