APPLIED AI LEADERSHIP TRAINING

Help leaders make better AI decisions—before tools, pilots, and risk get ahead of the operating problem.

Pragy AI Fluency for Operations Leaders is applied leadership training for teams that need practical judgment about AI, analytics, automation, workflow change, human review, governance, pilot measures and responsible next steps.

No coding. No hype. No assumption that every problem needs AI.

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Leadership judgment

Operating problem first

Human review and governance

Pilot measures and next steps

THE LEADERSHIP GAP

AI decisions often move faster than operating clarity.

Leaders are asked to approve AI tools, pilots and use cases before the problem, process, data, owner, risk, controls and adoption path are clear. AI fluency gives teams a practical way to slow the decision down just enough to make it better.

Confusing AI with automation

Teams jump to generative AI when a rule, dashboard, workflow redesign or standard automation would be safer and simpler.

Use cases without owners

Ideas sound promising but lack a process owner, decision rights, data owner, user group or measurable outcome.

Pilots without guardrails

Teams test tools without human review, manual fallback, evidence standards, privacy boundaries or adoption support.

Hype-driven prioritization

The loudest AI idea wins before value, feasibility, readiness, risk and time-to-value are compared.

Unclear production path

A proof of concept is treated as production-ready before security, data, governance, testing and support conditions are met.

Specialist risk missed

Quality, regulatory, HR, privacy, legal, security or works-council review needs are not identified early enough.

WHAT AI FLUENCY MEANS

A practical leadership model for AI-enabled operations.

AI fluency is not knowing every model or tool. It is knowing how to frame the operating problem, compare AI with simpler options, evaluate readiness and risk, design human review, define pilot measures, and choose the responsible next step.

The decision framework must keep one conclusion available: Do not use AI for this workflow.

Operating problem and workflow context
AI, analytics, rules and workflow automation distinctions
Use-case value, feasibility, readiness and risk
Governance, human review and manual fallback
Pilot measures and guardrails
Decision pathway: assess, pilot, govern, pause, stop or seek specialist review

LEARNING OUTCOMES

Leaders leave with a better way to judge AI opportunities.

Explain the difference between generative AI, analytics, rules-based automation and workflow automation.

Start with the operating problem, not the tool.

Identify candidate AI use cases without assuming they should proceed.

Evaluate value, feasibility, process stability, data readiness, risk, adoption and time-to-value.

Define ownership, human review, triggers, escalation and manual fallback.

Separate proof of concept, pilot, production deployment and operating model decisions.

Define pilot success measures and guardrail measures.

Recognize common AI failure modes in operations.

Know when legal, privacy, security, HR, quality or regulatory specialist review may be required.

Avoid sending confidential or regulated information through unsafe channels.

Choose the next step: assess, pilot, govern, pause, stop or seek specialist review.

Connect training to Opportunity Map, Responsible AI, Workflow Sprint, Operations Review and Quality pathways.

DECISION AIDS

Compare AI, analytics and automation before choosing the next step.

PROGRAM FORMATS

Choose the right level of leadership fluency.

All formats are inquiry-first. Public checkout is not active, recording is not included by default, and final delivery conditions are confirmed before scheduling.

Executive AI Fluency Briefing

CAD $1,250

90-minute live virtual briefing

Executive sponsors and leadership teams that need a practical shared language before approving AI work.

Up to 20 participants
Sponsor questionnaire
AI, analytics, automation and workflow distinctions
Operations use cases and failure patterns
Decision checklist and Q&A
Quick-reference PDF and participation summary

Excludes use-case scoring, implementation planning, architecture, policy review, recording and more than 20 participants.

Request the Executive Briefing

Applied team starting point

Applied AI in Operations Workshop

CAD $2,500

Half-day live workshop, approximately 3.5 hours

Operations, improvement, analytics, project, quality or shared-services teams that need to evaluate candidate AI use cases responsibly.

Up to 15 participants
Intake and pre-work
AI versus automation exercise
Fictional operations case study
High-level review of up to three proposed use cases
Human-review exercise, action register, workbook and leadership summary

Excludes custom policy, data analysis, vendor selection, architecture, implementation, confidential data review and certification.

Request the Applied Workshop

AI Operations Leadership Lab

CAD $4,500

Full-day virtual lab, approximately 6.5 instructional hours excluding breaks

Leadership teams that need deeper applied judgment, a use-case portfolio view and a draft pilot charter before moving into delivery.

Up to 12 participants
Sponsor intake and questionnaire
Up to five proposed use cases
Value, feasibility, readiness and risk mapping
Human-review and pilot-measure design
Draft pilot charter, 60-day roadmap, workbook, readout and sponsor follow-up

Excludes implementation build, formal governance program, legal or regulatory advice, recording and production use approval.

Request the Leadership Lab

Enterprise AI Capability Program

Custom scope

Scoped to the organization, number of audiences, specialist review needs and delivery model.

Organizations needing multiple cohorts, leadership alignment, custom cases, governance integration, regulated review or internal train-the-trainer support.

Custom audience map
Tailored examples and case studies
Specialist-review triggers
Capability roadmap
Optional internal facilitator support

No enterprise program begins without approved scope, terms, confidentiality, access, data, recording and delivery conditions.

Discuss an Enterprise Program

GOOD FIT

The strongest sessions connect AI learning to real operating decisions.

Strong fit

Leaders need shared language before approving AI work
Candidate use cases exist but need disciplined evaluation
Operations, quality, supply chain, finance, PMO or shared-services teams need practical examples
The organization wants human review and governance built into decisions
A sponsor can define the audience and learning objective
The team may proceed to an Opportunity Map, Responsible AI Starter Kit or focused pilot afterward

Scope review required

More than package participant limits
Regulated, validated, HR-sensitive or quality-critical decisions
Custom client data, confidential examples or recording requested
Tool-specific technical build training expected
Accredited certification expected
Legal, privacy, cybersecurity or employment advice expected
Production AI approval expected from a training session

APPLIED PRACTICE

Use fictional operations cases to practice better decisions.

The delivery kit includes fictional cases for manufacturing production exceptions, supply-chain delay classification, quality-event trend preparation, shared-services request routing, KPI management-review narrative, and small-business document and request workflow scenarios.

All examples use synthetic data only and do not claim client results, benchmarks, financial savings or guaranteed outcomes.

HUMAN REVIEW AND PILOT MEASURES

Responsible AI work needs control points before production pressure arrives.

FROM FLUENCY TO ACTION

Learn, assess, govern, implement, review and sustain.

SAMPLE PREVIEW

Preview the fictional AI Fluency program structure.

The Meridian Operations Group sample uses fictional content to show learning outcomes, workshop flow, decision aids, case examples, human review and next-step planning.

View the Sample Program Preview

Meridian Operations Group - fictional illustrative organization

FAQ

Common questions about AI fluency training

Is this prompt training?

No. The program builds practical leadership judgment for evaluating AI opportunities, risks, readiness, governance, human review, pilot measures and next steps. Prompting may be discussed only as a small supporting topic.

Is coding required?

No. The sessions are designed for operations and business leaders, not software developers.

Does the program make us AI-ready?

No training alone makes an organization AI-ready. It helps leaders ask better questions and identify the next responsible step.

Does this include an AI implementation?

No. Implementation, automation, data work, integrations, model development and production deployment are separate approved scopes.

Do participants receive a certification?

No accredited certification is offered. Where included, participants may receive a certificate of participation.

Can this be delivered to executives only?

Yes. The Executive AI Fluency Briefing is designed for executive sponsors and senior leaders.

Can the workshop use our real data?

Not through the public inquiry form and not by default. Sessions use fictional examples unless a safe, approved information-sharing method and scope are agreed.

Can you customize case studies?

Yes, customization is available when scope, confidentiality, sector constraints and specialist-review needs are confirmed.

Can it be used in regulated or quality environments?

Potentially, but regulated, validated, quality-critical, HR, privacy, security or other specialist topics require additional review and custom scope.

Is recording included?

No. Recording is not included by default and requires separate approval for consent, confidentiality, retention, access and redistribution conditions.

What technologies are covered?

The program is vendor-neutral and may discuss generative AI, analytics, workflow automation, decision support, retrieval, summarization and approved enterprise tools without implying vendor endorsement.

Does the program recommend specific software?

No. It does not publish a software recommendation without context, requirements, security, data and procurement review.

How many participants are included?

The Executive Briefing includes up to 20 participants, the Applied Workshop up to 15 and the Leadership Lab up to 12. Larger groups require custom scope.

What happens after the program?

The organization may start with the Opportunity Map, establish governance using the Responsible AI Starter Kit, move to a Workflow Intelligence Sprint, build an Operations Review System, or pursue a specialized Quality & CAPA pathway where appropriate.

Are results guaranteed?

No. Outcomes depend on leadership decisions, governance, data, systems, participation, controls, adoption and the operating problem selected.

Should confidential information be submitted through the inquiry form?

No. Do not submit passwords, credentials, personal data, patient data, regulated records, HR-sensitive information, confidential production data or proprietary prompts through the website form.

BUILD PRACTICAL AI JUDGMENT

Give leaders a disciplined way to decide what AI should—and should not—do in operations.

info@pragyconsulting.com · +1 (514) 404-5435

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