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Report

Build to Lead: 2026 Enterprise Architecture Survey

Our 2026 survey reveals how architecture separates AI leaders from laggards, why governance is falling behind, and what it takes to scale AI securely.
Est. reading time 7 minutes

AI leadership is increasingly defined by architecture, not investment alone. Our 2026 survey of senior technology leaders reveals how strong data foundations and proactive architectural decisions distinguish AI leaders from laggards. Yet as agentic AI advances, governance is struggling to keep pace, including in highly regulated industries. The findings highlight what it takes to scale AI securely and deliver lasting value.‍

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Why Architecture Determines Who Leads in the AI Era

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In 2025, our two-part From the Backroom to the Boardroom series (Part 1 and Part 2) showed how enterprise architecture evolved from a technical discipline into a strategic business priority. Our 2026 survey takes the next step, moving from architecture's strategic relevance to measurable differences in AI maturity and readiness. The findings reveal where organizations are pulling ahead, where critical gaps remain, and what separates ambition from execution.

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Data readiness predicts AI maturity

% reporting advanced or
transforming AI maturity

1.0%
Bottom
quartile
10.6%
2nd
quartile
24.3%
3rd
quartile
39.4%
Top
quartile

By quartile of data readiness  |  n = 415

Exhibit 1: Share of respondents reporting advanced or transforming AI maturity, by data-readiness quartile.

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Motivation defines integration depth

Cost and model
optimization
65%
35%
Both equally
51%
49%
Workflow redesign
for impact
53%
47%
Standalone / adjacent (periphery) Partially / fully embedded (deep)

Primary stated motivation for embedding AI more deeply  |  n = 415

Exhibit 2: Deployment depth reached, by primary stated motivation for embedding AI more deeply.

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A third of organizations are exposed on both fronts

Confident in
containment

5.5% Ungoverned &
confident
16.6% Governed &
confident
32.8% Ungoverned &
low-confidence
45.1% Governed &
low-confidence

Low confidence in
containment

Ungoverned for
agentic AI Governance in place
(partial or dedicated)

n = 415. Magenta cell marks the double-exposure segment.

Exhibit 3: Governance status against confidence in containment. The magenta quadrant is the double-exposure segment.

‍

Governance maturity flips the accelerator-to-constraint ratio

Accelerator Constraint
59%
20%
Mature governance
(partially/fully automated)
32%
34%
Immature governance
(ad hoc / manual)

Share describing AI governance as an accelerator vs. a constraint on deployment  |  n = 415

Exhibit 5: Share describing AI governance as an accelerator versus a constraint on deployment, by governance maturity.

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Methodology

This report is based on a survey of senior technology and architecture leaders, fielded by Dialectica in August 2026.

‍

28%

C-level respondents

72% direct reports to C-level

87.5%

Companies >1,000 FTEs

12.0% at 501–1,000 FTEs

61%

Based in Europe

24% Americas, 11% MEA, 4% APAC

6

Priority sectors

Insurance, Financial Institutions, Energy, Industrial Goods, TMT, Public Sector

Supported by

Authors

Smiling woman with long dark hair, wearing a black top and earrings in a neutral indoor setting.

Darshana Thakker

Director AI Tech Architecture
London
,
United Kingdom

Darshana Thakker is a Director AI Tech Architecture at BCG Platinion, based in the London office.

‍

She has nearly 20 years of experience in software development, enterprise architecture, and data strategy, with a track record of delivering business-critical, highly available, and low-latency systems.

‍

She advises clients across industries—including financial services, pharma, luxury retail, and the public sector—on topics such as AI and data strategy, enterprise information architecture, Agile transformations, and platform modernisation. Darshana also has extensive experience leading the design and implementation of data marketplaces, governance frameworks, and AI-enabled solutions that drive measurable business impact.

Smiling man with glasses wearing a dark suit jacket and white shirt against a gray background.

Juan Carlos Escalante

Director AI Tech Architecture
Madrid
,
Spain

Juan Carlos is a Director AI Tech Architecture based in Madrid and has been with BCG since 2019. He has been instrumental in shaping the Architecture Chapter in EMESA, most notably through his leadership of the Solution Architecture community. In his current role, he is focused on advancing our capabilities, deepening topic leadership, and strengthening the Architecture community across the region.

 

Outside of work, Juan Carlos is a proud husband and father, and an avid cyclist who finds balance and inspiration on the road. His passion for building strong communities extends beyond his professional life, fueling his dedication both at BCG and at home.

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Jens MĂĽller

Director AI Tech Architecture
Frankfurt
,
Germany

Jens is a Director at BCG Platinion and leads the European Data Architecture community and the Architecture community in Central Europe. Throughout his career, he has always been passionate about both engineering and being an AI Tech Architect.

‍

He started out as a SW engineer, moved on to analyzing and designing domain-specific, enterprise-wide architectures across industries, focusing on financial services. With BCG Platinion for 14 years now, he leads teams designing core system modernization approaches, architecture blueprints, developing platform buildup strategies and shaping delivery organizations.

Middle-aged man with short brown hair and beard wearing a blue blazer and white shirt.

Riccardo Pallozzi

Director AI Tech Architecture
Milan
,
Italy

Riccardo started coding at age of seven, because he wanted to play games and then coded for fifteen years, contributing to many Texas Instrument games and PC based games with some routines.

‍

He holds a Master of Computer Science and has a strong track record as developer, architect and program manager with experience in telco, energy, consumer and banking. Driven by curiosity he decided to make a move to IT strategy and joined BCG Platinion in 2017.

Portrait of a man with dark hair and beard wearing a light blue collared shirt indoors.

Syed Husain

Principal AI Tech Architect
London
,
United Kingdom

Syed Husain is a Principal Architect with BCG Platinion with more than 15 years of experience in IT consulting.

‍

He focuses on Solution Architecture, AI and Data Strategy with Financial Services, Public Sector, and TMT clients in Europe and the Middle East. When not solving critical technology and business problems for clients, Syed can be found perfecting his DOTA 2 and Star Craft 2 skills.

Portrait of a young man with glasses, dark hair, and a burgundy shirt smiling lightly.

David Heurtaux

Principal AI Tech Architect
London
,
United Kingdom

David Heurtaux is a Principal AI Tech Architect at BCG Platinion in the London office. Since joining BCG in 2022, he has focused on cloud architecture and (Gen)AI platforms, combining deep expertise in software engineering, Site Reliability Engineering, and AI strategy.
‍

With over 8 years of experience in IT Architecture, David is part of BCG’s (Gen)AI Platforms Group and serves as a BCG Global GenAI Blackbelt. He specializes in cloud-based microservice architectures for AI, data, and digital platforms, and brings strong experience in design thinking, DevOps, and agile methodologies.

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Insurance
Financial Institutions
Energy
Industrial Goods
Technology, Media & Telecommunications
Public Sector
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