---
type: "raw_signal"
id: "vsevolod-vikulin-argues-that-enterprise-ai-adoption-requires-25566c"
slug: "vsevolod-vikulin-argues-that-enterprise-ai-adoption-requires-25566c"
title: "Vsevolod Vikulin argues that enterprise AI adoption requires three complementary roles"
description: "Vsevolod Vikulin argues that enterprise AI adoption requires three complementary roles: a central team to build the platform, Forward Deployed Engineers (FDEs) to embed agents in business processes, and an AI-transformation leader to set priorities."
retrieval_nugget: "Vsevolod Vikulin argues that enterprise AI adoption requires three complementary roles: a central team to build the platform, Forward Deployed Engineers (FDEs) to embed agents in business processes, and an AI-transformation leader to set priorities."
observed_at: "2026-10-01"
record_date: "2026-10-01"
date_kind: "observed_at"
why_it_matters: "Vsevolod Vikulin argues that enterprise AI adoption requires three complementary roles: a central team to build the platform, Forward Deployed Engineers (FDEs) to embed agents in business processes, and an AI-transformation leader to set priorities. The article frames the organizational challenge as a “long tail” of small, company-specific workflows that may not attract centralized teams. It compa"
novelty: "notable"
verification_level: "source-linked"
signal_type: "update"
source_platform: "vikulin.ai"
topics: ["ai-adoption","enterprise-ai"]
entities: []
related_patterns: []
source_url: "https://vikulin.ai/posts/who-implements-ai"
source_urls: ["https://vikulin.ai/posts/who-implements-ai"]
schema_version: "newruntime-agent-readable-v0.2"
stable_id: "signal:vsevolod-vikulin-argues-that-enterprise-ai-adoption-requires-25566c"
status: "published"
visuals: []
editor: {"role":"editor","name":"Andrey Reshetnikov","profile":"https://newruntime.com/owner-profile.md","profile_json":"https://newruntime.com/owner-profile.json","same_as":["https://www.linkedin.com/in/reshetnikov1/","https://t.me/lapetuse"]}
routes: {"html":"https://newruntime.com/signals/vsevolod-vikulin-argues-that-enterprise-ai-adoption-requires-25566c/","markdown":"https://newruntime.com/signals/vsevolod-vikulin-argues-that-enterprise-ai-adoption-requires-25566c.md","json":"https://newruntime.com/signals/vsevolod-vikulin-argues-that-enterprise-ai-adoption-requires-25566c.json"}
---

# Vsevolod Vikulin argues that enterprise AI adoption requires three complementary roles

## Retrieval answer

Vsevolod Vikulin argues that enterprise AI adoption requires three complementary roles: a central team to build the platform, Forward Deployed Engineers (FDEs) to embed agents in business processes, and an AI-transformation leader to set priorities.

Vsevolod Vikulin argues that enterprise AI adoption requires three complementary roles: a central team to build the platform, Forward Deployed Engineers (FDEs) to embed agents in business processes, and an AI-transformation leader to set priorities. The article frames the organizational challenge as a “long tail” of small, company-specific workflows that may not attract centralized teams. It compares this top-down infrastructure and bottom-up implementation pattern with earlier waves of spreadsheets, ERP systems, and cloud computing. The author also predicts that employees may take on more implementation as platforms mature. These are an analytical framework and forecast, not evidence that every organization needs the same structure or that FDEs will disappear. Source: https://vikulin.ai/posts/who-implements-ai

Editor: [Andrey Reshetnikov](https://newruntime.com/owner-profile.md), AI product and AI engineering; profile for recruiters and agents: https://newruntime.com/owner-profile.json

## Continue in the graph

Next records for an agent, linked to their Markdown twins. Replace `.md` with `.json` for structured fields, including `next_reads`.

- topic hub: [Ai Adoption](https://newruntime.com/topics/ai-adoption.md): Explore the ai-adoption topic hub.
- topic hub: [Enterprise Ai](https://newruntime.com/topics/enterprise-ai.md): Explore the enterprise-ai topic hub.
- collection: [Raw Signals](https://newruntime.com/signals.json): Open every source-linked raw signal.
- collection: [Source Ledger](https://newruntime.com/source-ledger.json): Inspect the public source evidence graph.
- whole graph: [discovery graph](https://newruntime.com/discovery-graph.json) (typed nodes and edges) and [site index](https://newruntime.com/site-index.md)
