The promise of AI in business has never been louder, and managed ai services help you maintain success after implementation. Yet the results tell a different story. According to recent research, 95% of organizations see no meaningful return on their AI investments despite spending tens of billions of dollars. Forty-two percent of companies abandoned most of their AI initiatives in 2025 alone, a 2.5x spike from the year prior.
The problem is not the technology. The problem is how organizations are being asked to adopt it, and the hidden risks they are unknowingly accepting along the way. This is the exact challenge Hatz AI was built to solve.
One Platform. 60+ AI Models. One Security Standard.
Most organizations experimenting with AI today are managing a fragmented landscape. One team uses ChatGPT. Another is testing Claude. Someone in finance found a niche tool they like. IT is fielding security questions no one has answers to. And leadership is trying to build a coherent business intelligence strategy out of scattered, siloed tools with no governance in sight.
Beyond the inefficiency, this fragmentation carries serious risk. When employees use personal or unsanctioned AI tools, your organization’s proprietary data — client information, financial records, internal strategy — may be submitted to platforms that use it to train their public AI models. That means your competitive intelligence could end up informing the very models your competitors use.
Hatz AI consolidates all of that into a single, SOC 2 Type I and Type II certified platform — giving your organization access to 60+ large language models (LLMs) through one secure interface. That means your team is not locked into a single vendor, a single model’s limitations, or a single pricing structure. You get access to the best model for each job — whether that is GPT-5, Claude, or any number of specialized models, all under one roof, with consistent security controls, usage visibility, and enterprise-grade governance.
For businesses that need real business intelligence capabilities without the overhead of managing multiple subscriptions, vendor contracts, and data security reviews, this consolidation is a meaningful advantage. But the deeper value is in what Hatz AI actually protects, and how it helps organizations adopt AI safely.
The Security Problem No One Talks About Loudly Enough
Here is what is happening in most organizations right now, whether leadership knows it or not.
Over 90% of workers use personal AI tools even when corporate adoption is low. Thirty-five percent pay out of pocket for tools their employer does not provide. This is not defiance — it is practicality. Employees have seen what AI can do, and they want access to those productivity gains. If the organization does not provide a secure, sanctioned path, employees will find their own.
The result is shadow AI — an invisible layer of AI usage happening across your organization with no oversight, no data governance, and no accountability. And it is not a small problem. Shadow AI means:
- Sensitive business data submitted to platforms with unclear data retention and training policies
- No audit trail for how AI was used in a business decision
- Inconsistent outputs that may not reflect your brand, your values, or your compliance requirements
- Potential violations of client confidentiality agreements or industry regulations
The answer is not to ban AI. Bans do not work — they just push usage further underground. The answer is to give employees a better, safer option. That is what Hatz AI delivers.
How Hatz AI Protects Your Business — and Your Employees
Hatz AI was built with a foundational principle: enterprise security should not come at the expense of usability. When employees have access to a secure platform that is also genuinely useful, they have no reason to go looking for alternatives.
Here is what makes Hatz AI the secure choice:
Your Data Is Never Used to Train AI Models
This is perhaps the most critical distinction between Hatz AI and the free or consumer-grade tools employees might otherwise use. Hatz AI has a strict, contractually enforced policy: customer data is never used to train AI models — including the third-party LLMs accessed through the platform. Every external model provider is bound by agreements specifying near-zero data retention and no training on customer inputs.
That means when your employees use Hatz AI to draft a proposal, analyze a contract, or summarize a competitive briefing, that information stays yours. It does not feed a public model. It does not end up in a competitor’s output. It does not leave your organizational boundary.
SOC 2 Type II Certified — Independently Verified Security
Hatz AI holds SOC 2 Type I and Type II certifications, as well as SOC 3 compliance. These are not self-assessments. They are independent, third-party audits of the security controls protecting your data. Regular penetration testing is conducted by external security firms, and external security reviews occur at every stage of development.
For organizations in regulated industries — finance, healthcare, legal — this is the minimum bar for any vendor you put in your stack. For all other organizations, it is simply the right standard.
SOC 2 and SOC 3 reports are available upon request through trust.hatz.ai.
Architecture Built for Separation and Isolation
Security is embedded into how Hatz AI is architected, not just how it is described in a policy document.
- Segregated storage: Conversation histories, user settings, and organizational data are logically separated by tenant, organization, and user. No cross-contamination between customers.
- Inference isolation: The inference layer is deliberately separated from historical data storage. LLMs have no persistent access to previous interactions unless you explicitly provide that context. The model cannot quietly learn from your past conversations.
- Encrypted in transit and at rest: All data stored in secured AWS data centers with encryption applied throughout.
- Multi-factor authentication and role-based access controls: Information is accessible only to the individuals authorized to see it, based on your organization’s settings.
AI Guardrails That Protect Your Brand and Your Compliance Posture
Beyond protecting data from leaving the organization, Hatz AI also provides controls over how AI is used within it. Administrators can:
- Define approved AI use cases and restrict unauthorized applications
- Establish style, tone, and content guidelines to ensure consistency
- Apply content filters to prevent inappropriate or off-brand outputs
- Set role-based, user-specific permissions so different teams access only what is relevant to their work
This governance layer is what transforms AI from a tool individuals use however they choose into an organizational capability with accountability and standards.
The Crawl-Walk-Run Framework: A Smarter Path to Adoption
Security governance and AI adoption are not separate conversations. They have to be built together — and Hatz AI’s Crawl-Walk-Run framework is designed with both in mind.
Crawl: Build the Foundation First
The Crawl stage is about reducing friction and building habits — while establishing the governance layer that most organizations skip. Acceptable use policies are defined. Security controls are configured. Employees learn to use AI in a way that is productive and compliant.
This is also where the shadow AI problem gets addressed at its root. When employees have a sanctioned, secure, genuinely useful platform from day one, there is no gap for shadow AI to fill. The Crawl stage closes that door before it opens.
Walk: Scale What Works
Once your team has AI fluency, the Walk stage focuses on turning quick wins into repeatable, templated workflows with clear governance in place. Sensitive data flows through approved channels. Use cases are documented. Outputs are consistent with company standards.
HR uses secure, templated workflows for resume screening. Sales drafts RFP responses from a connected, permission-controlled knowledge base. Legal runs contract analysis without sending documents to an unsanctioned external tool. Marketing builds content research workflows with brand guardrails applied.
These are not science projects — they are measurable efficiency gains built on a secure foundation.
Run: Build the Intelligent Organization
The Run stage is where AI becomes an organizational capability rather than a departmental experiment. Multi-source AI agents operate across your internal knowledge bases. End-to-end workflows handle data ingestion, classification, and output — all within your governance perimeter. Role-specific agents generate hours of automation every month.
This is where business intelligence becomes genuinely transformative. When AI is embedded into how your organization operates — with security controls that travel with it — the ROI is visible, measurable, and defensible.
Why AI Adoption Fails Without a Security Strategy
Technology failure is rarely the reason AI initiatives stall. Research consistently shows that 70% of AI project failures are caused by organizational and human factors — not the technology itself. Security anxiety is a major and often underacknowledged driver of that resistance.
Here is what it looks like in practice:
Employees are not equipped. Only 33% of employees report receiving proper AI training. Without clear guidance on what is safe to put into an AI tool, cautious employees disengage entirely — and less cautious ones proceed without appropriate guardrails.
Resistance is widespread. Eighty percent of white-collar workers resist AI adoption mandates. Twenty-nine percent admit to actively working against their company’s AI strategy — including using personal tools and entering company data into unsanctioned platforms. Security-conscious employees who distrust the tools on offer are part of this group.
Shadow AI is already in your building. This is not a future risk. It is a current one. Without a secure, sanctioned platform, employees solve their own problem. And the data that leaves through those channels may never come back.
Leadership gaps amplify the problem. Forty-three percent of organizations cite a lack of vision among managers as a primary barrier. When managers are not equipped to talk about AI security with confidence, they default to avoidance — which leaves employees without guidance and the organization without governance.
When you give employees a tool that is demonstrably secure, independently certified, and governed at the organizational level, resistance drops. Adoption becomes rational rather than risky. And the business intelligence value that AI promises becomes accessible.
How Managed AI Services Change the Equation
This is where the managed AI services model that Hatz AI delivers through partners like FusionTek makes a direct difference.
Rather than handing your organization a platform and leaving adoption to chance, a managed AI services approach means you have a structured partner guiding the Crawl-Walk-Run journey alongside you. Use cases are identified and prioritized. The platform is configured and secured for your environment. Your team is trained with purpose. Governance is established from day one — not bolted on after a security incident. And progress is measured against real business outcomes, not just usage statistics.
The organizations that succeed with AI are not the ones who bought the most expensive tools. They are the ones who invested in change management, built a deliberate adoption path, secured the foundation, and had the right guidance to move from pilot to production.
Hatz AI, delivered through a trusted managed AI services partner, is that path made practical.
The Bottom Line
AI is not going to transform your organization by being deployed. It transforms your organization by being adopted — deeply, sustainably, and securely, across the people who make up your business.
Hatz AI is the platform built with that reality at its core. With access to 60+ LLMs in a single SOC 2 Type II certified interface, a zero-training-on-customer-data policy, enterprise-grade security architecture, a proven Crawl-Walk-Run adoption framework, and a managed AI services delivery model designed for real organizations with real risk profiles, Hatz AI makes AI adoption achievable — not just aspirational.
The businesses that will lead in the next five years are already building this foundation. The question is whether yours is one of them.
Ready to start with a crawl? Connect with our team to learn about how Hatz AI can enable your team to truly adopt AI in a meaningful, and secure way.
