Enterprise Decision Architecture System

Secure the
Context.
AI Will
Follow.

AI doesn't fail on technology. It fails on the architecture that governs it. Context Zero™ installs that architecture, so governance holds, investment aligns, and AI becomes institutional capability.

For PE and VC funds validating an AI thesis, and for founder-led and enterprise organizations scaling AI under five EU regulatory regimes.

Apply for the Diagnostic See the System →
CONTEXT
\ZERO™
Operations Cyber Governance Investment AI Scale
95%
of organizations report zero return on their enterprise GenAI investment. Structural misalignment, not technology.
MIT NANDA, The GenAI Divide, July 2025. Sources
6%
attribute 5% or more of EBIT to AI and report significant value. McKinsey calls them high performers.
McKinsey, The State of AI, November 2025. Sources
11 Sep 2026
Cyber Resilience Act reporting begins: actively exploited vulnerabilities and severe incidents. The nearest hard deadline on the board's calendar.
Regulation (EU) 2024/2847. Full regulatory timeline
The Root Problem

Why AI transformation
is stalling

There is a name for it: the Context Gap. Nearly two-thirds of enterprises have not yet begun scaling AI. Only one-third have started. The investment is flowing. The scale isn't happening, and the gap between investment and outcome has a structural origin.

Globally, enterprises have poured $30 to $40 billion into generative AI. In the MIT NANDA preliminary study, 95 percent of organizations report zero measurable return on their enterprise GenAI investment. This is not a rounding error. It is a structural failure measured in billions.

The reason is not model performance. The reason is structural misalignment. Operations, investment, cybersecurity, and governance point in different directions. AI cannot scale across what it cannot read.

This is the realization most boards reach too late.

42% of companies abandoned the majority of their AI initiatives before they reached production, up from 17% a year earlier. At least 50% of GenAI projects were abandoned after proof of concept. Not because the technology failed. Because the architecture to govern it didn't exist.

S&P Global Market Intelligence and 451 Research, Voice of the Enterprise: AI & Machine Learning, Use Cases 2025 (n=1,006, North America and Europe). Gartner, January 2026. Every figure, with its source.

Operations, technology investment, and cyber risk governance are misaligned. This is the Context Gap, and it is the structural reason AI doesn't scale.

01

Operational Misalignment

Teams, data, and decisions siloed. AI sees fragments. Cross-functional deployment impossible without a unified decision structure.

02

Investment Misalignment

Redundant tools. No strategic coherence. 74% of organizations hope to grow revenue through AI. Only 20% already do.

03

Governance Misalignment

AI risk ungoverned at board level. Among those deploying AI agents, only 21% report a mature governance model.

The Foundation

AI doesn't fail.
Decision architecture
is absent.

Every enterprise that fails to scale AI shares one condition: the organization has no coherent system for how decisions are made, communicated, and governed across operations, cybersecurity, and investment.

Without that structure, AI amplifies misalignment. Pilots succeed locally and fail at scale. Out of 25 attributes tested, workflow redesign has the biggest effect on whether an organization sees EBIT impact from gen AI. And only 21% of companies have fundamentally redesigned their operating model around it.

Context Zero™ installs that structure. Not a report. Not a recommendation. An operating system that compounds.

McKinsey, How organizations are rewiring to capture value, March 2025. McKinsey, The operating model advantage, July 2026. Sources.

What separates the 6% high performers from the rest:

01
Only 6% of respondents qualify as AI high performers. They are 3x more likely to have strong senior leadership ownership of AI.
02
Only 34% of organizations are using AI to deeply transform the business. 37% use it at surface level only, with little or no change to underlying processes.
03
Talent readiness at 20%, technical infrastructure at 43%, data management at 40% in Deloitte's 2026 study. In the same year, workforce access to AI tools grew 50%, from under 40% to around 60%.

McKinsey, The State of AI, November 2025. Deloitte, State of AI in the Enterprise 2026 (n=3,235, 24 countries), January 2026.

If your board is asking about AI governance and your current answer is a slide deck and a task force, you already know the structure isn't there. The question is whether you build the system before the exposure becomes visible, or after.

The System

Seven capabilities.
One firm.

Context Zero is one firm operating seven capabilities under a single decision architecture, from executive advisory to AI agent deployment to regulatory compliance. Seven capabilities, one accountable owner. No handoffs between three firms. No six weeks spent onboarding a new team into context you have already explained twice. Built from the founder's work across 40+ countries.

01

Advise

Investment validation for PE/VC. Founder scale readiness. C-suite AI reality assessment. Clarity before capital: know in 10 days whether your AI strategy will scale or burn.

02

Diagnose

7-dimension AI maturity assessment: strategy & governance, people & culture, infrastructure, data, models, deployment, R&D. 35 sub-dimensions, eight board-ready artefacts, in 7 days.

03

Architect

Enterprise-wide decision architecture: operations, investment, cybersecurity, governance aligned into one system. Decision rights matrix. Escalation protocols. Board-level accountability structure.

04

Build

AI assistants. Agents. Autonomous processes. Custom-built to operate within your decision architecture, not off-the-shelf tools dropped into an ungoverned environment.

05

Secure

EU AI Act. NIS2. DORA. CRA. GDPR. One control architecture, mapped once across five regimes, instead of five separate projects with five separate consultancies.

06

Scale

Pilot to production. Enterprise integration. Change management. AI academy design. Performance measurement. Scale, measured against baselines set on day one.

07

Sustain

Maturity tracking. Regulatory updates. Technology radar. Continuous improvement cycles. The system compounds: every quarter, the architecture gets stronger.

Built to outlast any single model or platform. Context Zero's architecture is model-agnostic. As AI evolves from assistive tooling to autonomous agent systems, the decision architecture that governs adoption, scale, and security must already be in place. Context Zero installs that foundation, regardless of which models, vendors, or capabilities emerge next.

WHO IS BEHIND CONTEXT ZERO

TWO FOUNDERS. One system.

One architecture. Two people who sign the work.

Renata Amare, co-founder, Decision Architecture

RENATA AMARE

CO-FOUNDER

For more than two decades, Renata Amare has held senior leadership roles in global technology and MedTech, leading transformations at Cisco Systems, Align Technology and HCL Technologies. She has built country businesses from the ground up and led market expansion, subsidiary formation, consolidation and cross-border restructuring across more than 50 countries. She has driven growth in businesses operating at billion-dollar scale, including iTero, with direct accountability for EBITDA performance. Her mandates have included Swiss federal authorities, systemically important banks and Fortune 50 multinationals, environments where decisions carry material financial, regulatory and reputational consequences. Throughout her career, Renata has integrated commercial strategy, operations, technology and governance into one enterprise system, translating executive decisions into disciplined execution and measurable business performance. Today, she applies the same discipline to AI, first within the companies she builds and then through Context Zero, where decision architecture becomes the foundation for governed, scalable enterprise AI.

Vitali Amare, co-founder, Cyber Governance

VITALI AMARE

CO-FOUNDER

For more than two decades, Vitali Amare has held global technology leadership roles at Akamai Technologies, Cisco Systems and Check Point Software Technologies. He built and ran the engines of growth and value creation: go-to-market, commercial strategy, market expansion, strategic partnerships and technology adoption, building and scaling businesses from zero to more than a billion dollars across technology enterprises, regulated industries and governments. He has advised boards and executives in more than 40 countries and seven languages, and is an author, speaker and advisor to leaders operating under complexity. Across industries, markets and technologies, one capability has defined his career: turning complexity and technology investment into enterprise value. Today, that experience forms part of Context Zero’s foundation, complementing a jointly built framework for turning better decisions and execution into measurable enterprise value.

The Context Zero Flywheel

How transformation compounds

Each layer of alignment creates the conditions for the next. The system is self-reinforcing by design.

Operational Coherence

Aligned teams & decision flows

Meetings change. Decisions land.
→
Investment Coherence

Disciplined portfolio & spend

Every tool earns its place.
→
Cyber Governance Clarity

Executive-held AI risk

The board can answer the question.
→
Secure AI Scale

Institutional transformation

AI becomes enterprise strength.
CONTEXT ZERO: INSTITUTIONAL AI CAPABILITY

This is what the diagnostic measures. This is what the system installs.

How It Works

Two phases.
Ninety-seven days
to a governed AI capability.

7-day Diagnostic + 90-day Install = 97 days · Optional 10-day Executive Advisory before any commitment

Conventional wisdom: AI transformation takes 18 months and three consulting firms. It is wrong. The delay is political, not structural, and a system resolves what politics cannot.

Before any commitment

Executive Advisory

Investment validation for PE/VC. Founder scale readiness. C-suite AI reality assessment. For investors and acquirers: clarity before capital, knowing in 10 days whether an AI strategy will scale or burn. Standalone or pre-Diagnostic. Not counted in the 97 days.

10 days
00
Phase one

Context Zero Diagnostic™

Eight board-ready artefacts, built on 35 sub-dimensions across 7 maturity areas. One definitive picture of where misalignment blocks scale, and what the architecture must resolve. See exactly what you receive.

7 days
01
Phase two

Context Zero System Install™

Governance architecture, decision rights and first measured deployments established within a defined enterprise domain. Cybersecurity governance and regulatory control mapping activated for that domain. Day 90 is not the end. It is the point where the system begins compounding.

90 days
02
Who This Is For

If this is your
situation.

Context Zero is designed for executive leadership teams who have moved beyond the question of whether to adopt AI, and are now confronting how to scale it safely, govern it properly, and make it an institutional capability rather than a portfolio of experiments.

You've hired the consultants. You've seen the strategy decks. You've launched the task force. Nothing structurally changed. Context Zero exists because that pattern repeats, and because the fix was never a better deck. It was a system.

AI stuck in pilots. At least 50% of GenAI projects abandoned after proof of concept.
Operations misaligned across business units. Cross-functional AI deployment impossible.
Tools multiplying without governance. 42% abandoned the majority of their AI initiatives before production.
Security blocking AI instead of enabling it. Only 21% of agent deployers report mature governance.
Board demanding AI accountability.
Five regulatory regimes, phasing in on different timelines, with no unified architecture to answer any of them.
If two or more of these are true, the diagnostic exists for you. If none, read no further.
Five regimes.
Different
timelines.

You don't have five compliance problems. You have one structural gap creating five regulatory exposures, including accountability that now sits with the management body under NIS2. One control architecture maps the obligations these regimes share, removes duplicated work, and produces a single evidence base your legal, audit and regulatory counterparties can actually examine.

See the full regulatory timeline, date by date.

EU AI Act

Regulation 2024/1689. Prohibited practices since February 2025. GPAI obligations since August 2025, enforceable with penalties from 2 August 2026, alongside Article 50 transparency. High-risk obligations deferred by the Digital Omnibus to December 2027 and August 2028.

NIS2

Article 20 places cybersecurity accountability with the management body. Personal liability and enforcement follow national transposition, complete in some member states, still in progress in others. Your exposure depends on where you operate.

DORA

Digital operational resilience for financial entities. Applies since 17 January 2025. ICT risk management, incident reporting, and third party oversight flowed down through contracts.

CRA

Cyber Resilience Act. Reporting of actively exploited vulnerabilities and severe incidents from 11 September 2026. Full obligations from 11 December 2027. If your AI stack touches a product with digital elements, this deadline arrives first.

Questions we are asked first

Before the call.

What is AI Decision Architecture?

It is the enterprise-wide system that aligns how decisions are made, communicated, and governed across operations, cybersecurity, and investment, enabling AI to scale securely and become institutional capability. Without it, every AI initiative renegotiates the same questions of ownership, authority and risk from scratch.

What is the Context Gap in enterprise AI?

The Context Gap is the structural misalignment between operations, technology investment, and cyber risk governance that prevents enterprises from scaling AI beyond pilot stage. It is why pilots succeed locally and fail at scale, and why more technology does not close it.

When do EU AI Act obligations actually apply?

Prohibited practices have applied since February 2025 and obligations for general purpose AI models since August 2025. From 2 August 2026 the penalty regime becomes applicable, alongside the Article 50 transparency obligations, with machine readable marking of existing generative systems following in December 2026. High-risk obligations were deferred by the Digital Omnibus to 2 December 2027 for Annex III systems and 2 August 2028 for systems embedded in regulated products under Annex I. The deferral is time to build the architecture properly, not permission to wait.

Not every
organization
qualifies.

Context Zero is a system, not a service. It compounds when specific structural conditions are in place: leadership authority, board accountability, and genuine commitment to installing an operating system rather than commissioning a document. Fit is determined by diagnostic, not by pipeline. If the conditions aren't right, we say so on the qualification call.

Apply if:

01
A PE or VC fund validating an AI thesis, or a founder-led organization where the CEO can sign, with significant AI investment already in motion
02
Executive sponsor with authority to align operations, technology, and cybersecurity
03
Board-level accountability requirement for AI governance and risk
04
Readiness to install a system, not commission a report

Secure the context.
AI will follow.

$30 to $40 billion invested in enterprise GenAI this cycle. In the MIT NANDA study, 95 percent of organizations with zero return to show for it. Five regulatory regimes phasing in through 2028. The enterprises that close the Context Gap now will define the next decade. The rest will fund their competitors' advantage.

Apply for the Diagnostic7 days to a definitive picture

By applying, you agree that we process your data to assess your application. How we handle it.

Apply → 15-minute qualification call → 7-day executive diagnostic → Decision on System Install

Every Diagnostic is founder-led. That is why we take up to eight engagements per quarter, and no more.

If the diagnostic shows you're not ready, we tell you. You've lost nothing, and gained seven days of clarity you didn't have before.

Context Zero Diagnostic™ · 7 days to clarity on what's blocking your AI scale
Apply for the Diagnostic