AI & Data Literacy
People don’t adopt what they don’t understand. We build the judgment to use AI and data well, role by role.
Enterprise programs for executives, managers, analysts and frontline teams, built around your tools, workflows and policies. We measure what people do differently afterwards, not how many finished a course.
The people who scope it are the senior people who lead it.
Role by role, through two lensesDiagnostic frame
Executives
DecideFundGovern
Managers
ApplyLeadEscalate
Analysts
BuildVerifyDocument
Frontline
UseQuestionProtect
Data lensAI lens
What it is for
A workforce that uses AI and data well, and can show it.
- Capability
People apply AI and data in the work they actually do. Fewer tools left unused, better-founded decisions, and AI investments that get used.
- Responsibility
They know what not to do: what stays out of a prompt, when a person must decide, and when to escalate. Fewer preventable mistakes.
- Assurance
Leaders can show what was done: who learned what for which role, what changed, and the evidence behind it.
Why training fails
Most programs measure attendance. The business needs safe, effective use.
One course for everyone
A director and an analyst need different things, and both tune out.
Completion counted, use ignored
Everyone finished the course. Nobody changed how they work.
Taught on someone else’s data
Generic examples never transfer to the tools people open on Monday.
How we are different
Baseline first. Tracks by role. Measured in use.
A program starts by finding out where each group actually stands, and ends by checking what they do differently, with the evidence kept along the way.
Baseline
Two scores per group, data and AI, so the gap is visible before anything is taught.
Tracks by role
Executives, managers, analysts and frontline each get their own path and pace.
Practice on your tools
Exercises on the systems and data your people already use, within your policies.
Measure use and judgment
Quality of work, appropriate use and confidence afterwards, as well as adoption. Not seats filled.
Evidence
Baselines, role competencies, records and results, gathered throughout and handed over.
| Role | Data | AI |
|---|---|---|
| Executives | Read a dashboard critically and ask for the definition behind a number | Judge an AI proposal: value, readiness, risk and who is accountable |
| Managers | Use team data to decide, and know when it is not good enough | Decide where AI belongs in a workflow and where a person must stay |
| Analysts | Build on governed data and document what they did | Use AI tools on real work, and verify what comes back |
| Frontline | Enter and read data correctly at the point of work | Use approved tools safely, and know what never goes into a prompt |
Responsible use and regulation
Knowing what not to do is part of literacy.
Using AI well includes knowing who may use it for what, what never goes into a prompt, when a person must decide, and how to show that the right measures are in place. It is built into every track, not added as a module.
Capability by role
Competencies matched to each role’s responsibilities, tools and exposure to risk.
Responsible use
Privacy, bias, security, human oversight and escalation, taught on real cases.
Evidence
Two kinds: proof that the program ran (baselines, competencies, records, versions), and the oversight routines people follow (who reviews what, and what gets recorded).
Alignment
Programs mapped to your own policies and to the frameworks and laws that apply where you operate.
References we work with: the NIST AI Risk Management Framework and ISO/IEC 42001, alongside your own policies. Operating in the EU or in Illinois? Read our guide to the EU AI Act and our guide to Illinois AI law.
A completion certificate is not compliance, and neither is a learning dashboard. We build the program and the evidence; whether it meets a particular obligation is a legal question, and we do not give legal advice.
Proof
A workforce that used the tools afterwards.
Healthcare · A regional health organization
Role-based cohorts for more than 300 clinical and administrative staff, not a single course.
A needs assessment by role, a curriculum built on the organization’s own data and challenges, and hands-on sessions. Five AI use cases were prioritized by the people who would run them.
Read the case studyWhat we do
Five services. The deliverable is a capability, not a course.
Leadership and sponsors
Literacy strategy and baseline
Capability gaps by role, target competencies, a roadmap and what to fund first, starting from where each group actually stands.
Board and C-suite
Executive and board advisory
AI fluency, investment judgment and governance responsibilities for the people who approve AI work.
Functions and departments
Program design and rollout
Role-based journeys on your tools, workflows and sector rules, with change management and program governance, on NuScienta, your own learning system or both.
Program sponsors
Use and impact measurement
Safe, effective use measured after the program: quality of work, appropriate tool use, adoption and confidence, with reinforcement where it lags.
Risk, compliance and HR
Regulatory literacy and workforce assurance
What each role needs to know under your policies and the rules that apply to you, and the evidence structures to show it.
Start with a baseline. A free self-assessment that scores data literacy and AI literacy separately. No email required.
Related product
Meet NuScienta. AI and data literacy at scale.
NuScienta is our AI and data literacy learning platform: courses, learning pathways, assessments and credentials for individuals, teams and institutions.
Data Products
Advises, designs and implements
Literacy strategy, baselines, program design, rollout, measurement and evidence.
NuScienta
Enables learning at scale
Courses, learning pathways, learner assessments, credentials and progress reporting.
Connected, but distinct. A program we design can run on NuScienta, on your own learning system, or on both, and NuScienta can be used without a consulting engagement. Individuals, schools and educators learn on it directly. Explore NuScienta
How to engage
Three ways in. Most start with the people who fund it.
Need the executive team aligned first?
Executive AI Workshop
One working session of several hours with one executive team. They leave knowing which AI use case to fund first. Scope and fee fixed in advance.
- Sponsor conversations and a pre-read
- A ranked shortlist, with the reasoning
- One first use case with an owner and a measure
- A decision gate
Need the whole workforce ready? · The main engagement
AI & Data Literacy Program
Every role on its own track. Use and judgment measured after.
- Starts with
- A baseline for each group, data and AI scored separately
- Proceeds when
- Tracks and measures are agreed with the sponsor
- Ends with
- Use measured, evidence kept, champions running the next cohort
- Role-based tracks, practiced on your own tools and policies
- Responsible use built into every track
- Run on NuScienta, your own learning system or both
- Use, judgment and confidence measured, with the evidence kept
- Internal champions who can run the next cohort without us
Ready to run it yourselves?
Internal academy and train-the-trainer
Once the first cohorts have run: your own trainers, materials and measures, so the program keeps going without us.
- Trainers prepared to run each track
- Materials and exercises you own
- Measures and evidence your team keeps current
- Refreshed as tools and policies change
How we work. Every engagement follows our Data IQ™ methodology, from diagnosis through implementation and handover. See how we work
Before you commit
Questions we get every week.
What is the difference between data literacy and AI literacy?
Data literacy is reading, questioning and acting on numbers. AI literacy is knowing what an AI system can and cannot do, using it safely and checking what it returns. A team can be strong in one and weak in the other, which is why we score them separately.
How do you know the training worked?
By what people do afterwards. We take a baseline before the program, measure again after, and look at the use, quality and judgment the program was for. Attendance and completion are recorded but are not the result.
Who should go first?
Usually the executive team. People adopt what their leaders visibly understand and ask about, and the leadership session decides what the rest of the program should prioritize.
Do we need to use NuScienta to work with Data Products?
No. We design and run programs on NuScienta, on your own learning system, or on both. NuScienta can also be used on its own, without a consulting engagement.
Does a literacy program make us compliant with AI rules?
No program does that on its own. We build role-appropriate literacy measures and keep the evidence of what was done, which is what an organization can show. Whether that meets a particular obligation is a legal question, and we do not give legal advice. Our guides to the EU AI Act and Illinois AI law set out what each covers.
Is it online or in person?
Both. Executive sessions are usually in the room. Workforce tracks combine instructor-led sessions with online courses, so people practice between sessions on their own work.
Can the training use our own tools and data?
Yes, and it should. Exercises are built on the systems your people already use, inside your policies, so the skill transfers to the job on the first day back.
The people who scope it are the people who lead it
Tell us who needs to be ready, and for what. We’ll show you the order.
Thirty minutes with the senior people who would run the program. If a workshop is all you need, we’ll say so.
Book a planning callGo deeper.
- AssessmentAI & Data Literacy Assessment
- Starter serviceExecutive AI Workshop
- Case studyAn AI and data literacy program for a regional health organization
- ArticleData literacy and AI literacy are not the same skill
- ArticleMeasuring literacy by use, not attendance
- GuideThe EU AI Act
- GuideIllinois AI law
Literacy is what makes the rest of the investment pay.
Bought the tools, waiting on the adoption? Thirty minutes with the people who would run the program.
