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KAVOSH CAPABILITY FOUNDRY

Training that shows up at work

We design each program around team roles, business needs, and the expected result.

Role-specificProject-ledMeasurable
Fewer Courses. More Capability.

Training based on need

An effective program begins with work: who, in which role, needs to make what decision or perform which task better? Content, practice, manager support, and evidence of success are then designed around that change.

Design criterion Observable behavior—not end-of-session satisfaction alone
BEFORE / COURSE

Learning apart from work

  • One curriculum for every role
  • Completion as the main measure
  • No follow-through after class
AFTER / CAPABILITY

Learning inside the workflow

  • A path tailored to role and level
  • Practice on a real challenge
  • Transfer and impact evidence
ROLE-BASED PATHWAYS

A path for each role

Choose a pathway to see an example learning goal, experience, and workplace output.

ROLE PATH / EXECUTIVE

Leaders who can recognize opportunity, risk, and the right decision.

Practical fluency for evaluating data and AI initiatives, framing problems, governing risk, and leading change—without getting lost in technical detail.

AI LiteracyDecision DesignGovernance
WORKPLACE OUTPUTA real opportunity map and decision framework for a credible pilotDesign this path
COMBINABLE FORMATS

Delivery formats

Based on team size, geography, time, and goals, we combine formats into an in-person, online, or blended architecture.

01 / ALIGN

Project Overviewing

A focused session for shared language, opportunities, risk, and decision priorities.

02 / COHORT

Staged Cohort Path

Connected sessions, between-session practice, and feedback in a peer group.

03 / LAB

Workshop & Practice Lab

Solve a challenge using data, tools, and scenarios close to real work.

04 / ACADEMY

Internal Academy

Coordinated paths for several roles with one calendar and reporting layer.

05 / SCALE

Train-the-Trainer

Transfer method, content, and assessment standards to internal facilitators.

06 / BUILD

Project Sprint

Intensive learning around a real deliverable, mentoring, and a final review.

LEARNING TRANSFER STUDIO

Transfer learning to work

The scenario shows how three factors can shift the likelihood of transfer to work. It is not a scientific forecast for your project—it is a conversation tool for better program design.

Work relevance×Real practice×Manager support
LEARNING TRANSFER SIGNALSIM / 01
67TRANSFER
SIGNAL
Ready to strengthen

Practice is present; manager support and room to apply can make transfer more durable.

EVIDENCE OVER ASSUMPTION

Measure training results

Not every program needs complex evaluation. Based on the goal and scope, we combine participation data, capability assessment, application evidence, and relevant performance measures.

Measures are agreed before delivery begins
01

Engagement & Experience

Attendance, completion, experience quality, and barriers.

ENGAGE
02

Learning & Capability

Pre/post assessment, practice, and output quality.

LEARN
03

Workplace Application

Observed behavior, tool usage, and manager input.

APPLY
04

Operational Impact

Time, quality, errors, innovation, or a goal-linked metric.

IMPACT
FROM NEED TO INTERNAL CAPACITY

Co-design the program

Business owners, people teams, line managers, and learners make decisions at defined points so the content stays real, delivery remains feasible, and transfer can last.

Explore Kavosh Academy
01

Align & Diagnose

Business goal, roles, current level, constraints, and success criteria.

02

Architect the Path

Behavior goals, experience sequence, facilitators, practice, and evaluation.

03

Pilot & Tune

Run with a controlled cohort, gather feedback, and refine the program.

04

Deliver & Apply

Facilitate learning, mentor practice, and guide a real workplace project.

05

Measure & Transfer

Report evidence, document the system, develop internal trainers, and continue.

FROM LEARNING EVENTS TO WORKPLACE CAPABILITY

Your team's learning need

Describe the roles, current challenge, and change you expect. We will propose a diagnosis scope and an initial program architecture.