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Decision Quality Audit

Stratify expertise

Artificial Intelligence

Human judgment. Intelligent systems. Lasting capability.

AI changes what your organization can do. How you lead, decide and learn determines what you make of it. We help your teams connect strategy, hands-on practice and leadership.

Explore AI programs Discuss your priorities
Two sculptural stairways converge into a cobalt passage: human judgment and AI

Adoption is rising. Value takes deliberate work.

McKinsey’s 2026 survey makes the gap visible: individual gains are widespread, while enterprise impact remains uneven. That is a management agenda.

Respondents reporting improved individual productivity
80%
Respondents reporting enterprise-level EBIT impact
37%
Respondents meeting McKinsey’s “high performer” definition
6%

McKinsey, The state of AI in 2026 · 1,719 respondents, 97 countries; May–June 2026. Self-reported, different measures; not a conversion funnel. High performer: ≥5% EBIT contribution and “significant” value attributed to AI.

Our reading: training should connect individual skill with workflow design, decision ownership and evidence of value.

From productivity to value

Build the capability behind the technology.

Cases make choices tangible. Hands-on work makes them testable. Your business context connects learning to a decision that matters.

Human and AI workflows connecting within a layered architectural structure

From an isolated task to a connected system of work.

01

Start with a business question.

Identify the decision, customer experience or business outcome that should change. Compare use cases on value potential, data readiness and feasibility.

A prioritized set of use cases
02

Redesign the workflow.

Look beyond accelerating a task. Design handoffs between people, AI and teams, clarify decision rights and define how exceptions are handled.

A human–AI workflow
03

Make judgment explicit.

Separate an AI response into assumptions, evidence and alternatives. Decide upfront what needs verification and which decisions require human ownership.

A verification and decision checklist
04

Build capability in the work.

Managers test their decisions through realistic cases and hands-on exercises. Teams establish a common language and develop their working and learning practices together.

Team-specific application practice
05

Measure value before scaling.

Set a baseline, a success measure and a review date. Assess speed alongside quality, cost and customer impact.

A measurable application plan

Research context: McKinsey, The new management playbook for AI, August 2026. The application sequence above is Stratify’s synthesis.

Three ways to move your team forward.

Start with your leadership challenge. Each program can be tailored to your sector, roles and current priorities, in Turkish or English.

A competitive-network collage with a blue corridor creating a new connection across a port and warehouses.

Senior leaders and strategy teams

Where will AI change our competitive advantage?

Competing in the Age of AI

Examine your industry’s value chain, data advantages and changing business models. Use strategy cases to debate where to invest, how to differentiate and which assumptions to test.

2 days · 14 hours4 modulesTR / EN

Working focus: Competitive choices and strategic priorities

See program details
A collage of technical tools and model components joined into a workflow by a blue insert.

Business-unit and functional managers

What can our team do better in its everyday work?

Managing with AI: A Hands-On Workshop

Apply generative AI to analysis, preparation and problem-solving. Practice giving effective instructions, challenging and verifying outputs, and adapting them to your own business context.

1 day · hands-on workshop4 modulesTR / EN

Working focus: Work-specific use cases and reusable working templates

See program details
An editorial collage selecting and developing one architectural prototype with a blue plane.

Middle and senior managers, team leaders

How do I redesign my work and my team’s workflow with AI?

AI-Empowered Leadership

Practice delegation, decision review and human–AI work allocation in a one-day workshop. Start from a real workflow, build a bounded agent prototype and test it with a peer.

1 day · 7 hours4 modulesTR / EN

Working focus: Workflow canvas, team agreement, agent prototype and 30-day experiment plan

See program details

Not sure where to start?

We can clarify your team’s needs and shape a focused first session together.

Explore a pilot session

Ideas for the decisions ahead.

Original Stratify essays connecting current research with the questions leadership teams face.

Make the next AI decision a better one.

Tell us where your team is today and what you want to change. We will shape the right learning agenda together.

Talk to Stratify