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eantro.

The most important thing in business is people, people, and people again. (с) Jack Welch

Human Responsibility in AI Transformation

Human Responsibility in AI Transformation

Turning resistance into metrics. The responsibility layer for people in the age of AI.

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Numbers That Change How We See AI Transformation

According to recent research, 73% of AI projects fail to move beyond pilot stage, remaining experiments without real business impact. At the same time, 85% of problems in digital transformation are related to human factors, not technology. Global losses of companies on failed transformations in recent years reached $1.3 trillion.

Sources:Gartner, 2024; McKinsey Global Institute, 2023; Harvard Business Review, 2024
01The Problem

AI projects stall not because of technology — because of people.

Pilots work, scaling fails. Causes include blurred accountability, stakeholder resistance, shadow use of AI. EANTRO adds a measurable layer for the human factor.

73% of AI projects fail beyond pilot. 85% of problems are human, not technical.
02What is eantro.

The responsibility layer for people in AI transformation

We do not implement AI or offer generic coaching. We provide a function: who is accountable for what, how human risk is measured, how to escalate decisions.

01Starter assessment and Human Risk Index
02Observation at working meetings and sync with the leader
03Action plan based on the engagement cycle outcomes

Human-centricity without vague promises — artifacts, rhythm, accountability.

03How we work

Application Domains

01

AI transformation and scaling

Pilots stall at scale. Human Risk Index and sync protocols reduce risks.

02

Human risk management

Structuring accountability, escalation to governance, decision rhythm.

03

Teams and leaders

Work with decision-makers and teams: engagement cycle, starter assessment, action plan.

04Tools and artifacts

Outcomes include not only recommendations but documents, metrics, and rhythm.

Human Risk Index and signals dashboard
Sync protocols with the team leader
Artifacts

Starter assessment report, risk map

Action plan by priorities
Artifacts for escalation to governance
Artifacts

Meeting protocols, updated action plan

05Collaboration formats

Collaboration Formats

A

Embedded team

EANTRO joins the client governance: engagement cycle, sync protocols, Human Risk Index as a recurring metric.

B

Partnership format

Joint projects with integrators, consultants, and coaching partners. Shared methodology and artifacts.

07About Us

Team and Partners

EANTRO operates as a function of accountability for the human layer of AI transformation. Therefore, accountability is personalized: who identifies risks, who sets the management cadence, who escalates issues, who is responsible for the consequences of decisions.

Anna Valeryevna Rezvova
President, EANTRO

Anna Valeryevna Rezvova

Digital transformation and digitalization leader with experience from idea to product launch (Velobike, Yandex, Russian Post). PCC ICF coach, specializing in human risks management and organizational change.

Pavel Fedorovich Spiridonov
Visionary, EANTRO

Pavel Fedorovich Spiridonov

Growth strategy architect and executive tracker with 20+ years of experience. Develops long-term transformation strategies (5-10-15 years) for business owners. Works exclusively one-on-one with top-level executives.

PARTNER

Goal Imagery Coaching Academy

ICF-accredited international coaching academy. Global network of graduates with various ICF certification levels ensures scalability and coverage of projects of any size. In partnership with EANTRO, the academy provides access to a network of qualified ICF coaches for work under the eantro protocol.

PARTNER

AI-exochat

M2P (Machine-to-Person) engine for designing and executing managed, stateful LLM dialogues. The platform transforms prompt chaos into state and transition architecture, ensuring deterministic behavior, testability, and scalable scenarios. Specializes in creating closed AI circuits for the corporate sector with a focus on security, compliance, and manageability.

PARTNER

ForEach Partners

Developer-Led Partnership: development teams managed by developer partners who actively write code, make technical decisions, and take full responsibility for delivery. Network of 100+ developers and 12 partner teams provides global coverage for development, integrations, and enhancements for startups and product companies.

06Evidence base and safety

Evidence Base & Safety

Methodology is grounded in the engagement cycle and eantro operating model.
Ethics and boundaries of AI use are defined in product specs.
Partners and expertise (coaching, development) are disclosed.
09Contact

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