FAQs

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How quickly can our teams get started?

Most teams are up and running in minutes, not months. elvex requires no technical setup, and pre-built assistants are available immediately upon provisioning.

Can we control which AI models our teams use?

Yes. elvex is model-agnostic and gives admins full control over model access, including model overrides at the workspace or user level. You can allow or restrict specific models based on your security and cost requirements.

Do non-technical team members need training to use elvex?

No. elvex is built for everyone — not just engineers. Product managers, designers, support teams, and executives can build and use AI workflows without any coding knowledge.

Can developers extend elvex with custom integrations or APIs?

Absolutely. elvex offers a Custom API and MCP (Model Control Protocol) support, allowing engineering teams to build bespoke integrations and extend the platform for internal tooling.

Is elvex secure enough for a tech company with strict data governance requirements?

Yes. elvex is SOC 2 Type II certified and supports SSO, role-based access controls, audit logs, and custom data retention policies. Your data is never used to train models.

Are the agents in the elvex Agent Library ready to use immediately?

Yes, many agents in the elvex Agent Library are ready for immediate deployment. These pre-built agents are designed from real business use cases and can start working right away. However, you also have the flexibility to customize any agent to better fit your specific data, workflows, and business requirements. The choice is yours: deploy instantly for quick wins or take a few minutes to tailor the agent to your exact needs using elvex's no-code customization tools.

Can I customize agents from the elvex Agent Library?

Yes, all agents in the elvex Agent Library can be customized to fit your specific workflows, data, and business requirements. You can use them as-is for immediate deployment or modify them using elvex's natural-language building interface. Customization options include connecting your own data sources, adjusting business logic, integrating with your existing tools and systems, and tailoring outputs to match your organization's needs. The platform is designed for business users, so no coding skills or technical expertise are required to customize agents.

What makes elvex's approach to AI governance different from traditional security platforms?

Traditional platforms treat governance as an afterthought, bolting on security features after the core product is built. elvex builds security, permissions, and analytics into every layer from the ground up, creating a fundamentally different architecture where control and enablement work together rather than against each other.

elvex's unified governance provides a single interface for all permission and access management with role-based, team-based, and individual permission levels that give you granular control without complexity. Model governance capabilities provide centralized control over available AI models and their usage, with options for automated removal of PII, PHI, and financial data, plus model controls that enable cost optimization. Complete audit logs ensure compliance reporting is straightforward, while the platform integrates with your existing security infrastructure for defense-in-depth protection. This governance-first approach means security isn't something you configure later or work around to get things done. It's foundational to how elvex operates.

How can organizations prove ROI from AI investments without proper analytics and tracking?

Without usage analytics, adoption metrics, or outcome tracking, organizations cannot answer fundamental questions like "Is this working?" or "Where should we invest more?" This lack of visibility means decisions are based on gut feel rather than evidence, making it impossible to justify AI budgets, optimize spending, or demonstrate value to stakeholders.

elvex provides advanced analytics and usage intelligence that turn AI adoption from hypothesis to data-driven strategy. Real-time adoption and usage dashboards track metrics for agents, datasources, workflows, users, and more, giving you complete visibility into how AI is being used across your organization. Power user identification accelerates organizational learning by showing you who's discovering the most valuable workflows, while cost tracking and optimization recommendations ensure you're getting maximum value from your AI investments.

How does elvex enable innovation while maintaining enterprise security and compliance?

Most platforms force organizations to choose between locking down AI completely (falling behind competitors) or opening it up completely (facing data breaches and compliance violations). elvex eliminates this false choice by building security, permissions, and analytics into every layer of the platform, turning IT from "AI blocker" to "AI enabler."

elvex provides unified governance and permission management that controls access at every level: who can use the platform, which AI models they can access, what data sources they can connect, whether they can create agents or only use existing ones, and who can share resources organization-wide. You configure once and enforce everywhere, with dynamic policy updates that apply instantly across your organization and automatic enforcement that prevents unauthorized access.

What is shadow ai and why is it a critical security risk for enterprises?

Shadow AI refers to employees using unauthorized AI tools to upload sensitive data to consumer services, share proprietary information with public models, and create security vulnerabilities outside IT visibility. When employees paste source code, customer lists, financial data, or intellectual property into unauthorized AI tools, that information leaves your organization's control permanently, creating compliance violations, competitive risks, and potential data breaches that cost millions.

elvex eliminates shadow AI by providing an approved, enterprise-grade platform that meets employee needs while maintaining complete visibility and control. Instead of blocking AI tools and driving employees to unauthorized alternatives, elvex gives teams the capabilities they want with unified governance that tracks every action, controls every access point, and protects sensitive data automatically.  elvex ensures your data never leaves your control or gets used for AI model training, turning the shadow AI problem into a managed, secure AI solution.

How does elvex turn individual AI discoveries into organization-wide capabilities?

The challenge most organizations face is that AI expertise remains concentrated among a small group of power users while everyone else struggles. Your best employees have discovered workflows that save hours daily, but without a system to capture and distribute that knowledge, each team member must reinvent solutions independently.

elvex transforms this dynamic by making knowledge sharing automatic rather than optional. When someone discovers a better way to work, they can share agents and workflows with one click, no documentation required. The platform provides automatic discovery of relevant shared content, surfacing the right solutions at the right time based on what you're working on. This creates network effects where organizational capability compounds with each new discovery.  elvex makes this sharing so frictionless that adoption becomes organic, not mandated, turning scattered individual success into systematic organizational capability.

How does elvex enable sharing across all the tools my team already uses?

elvex connects to the tools your team works in every day — so AI outputs land where work actually happens, not in a separate platform nobody checks.

What are team workspaces and how do they enable collective intelligence?

Team workspaces in elvex are shared environments where a team's agents, data sources, and workflows are visible and accessible to every member — not locked to individual accounts.

How does elvex make knowledge sharing frictionless and automatic?

By removing the step where someone has to decide to share — and making sharing the default, not the exception.

How does elvex's enterprise integration ecosystem work with existing business tools?

Modern teams rely on dozens of tools to get work done: CRM systems, project management platforms, communication tools, databases, productivity applications, and more. When these systems don't talk to each other, work gets stuck in manual handoffs, data silos form, and productivity suffers. elvex's enterprise integration ecosystem solves this by connecting all your tools in one place, so work flows across systems automatically.

This comprehensive integration capability transforms elvex from a simple automation tool into a true enterprise orchestration platform, where AI agents can access any data, trigger any action, and coordinate work across your entire technology stack.

What makes elvex different from generic AI tools for enterprise use?

Generic AI tools are built for the average use case. Enterprise work isn't average — and the gap between what a general-purpose tool can do and what your team actually needs is where AI adoption breaks down.

elvex lets you create agents perfectly tailored to your business requirements, connecting any AI model, integrating your company's tools and data, and building multi-step workflows that match how your team actually works. elvex eliminates this bottleneck by empowering business users to build and iterate on their own, without waiting for IT resources. All while ensuring you maintain flexibility and control.

How does elvex eliminate vendor lock-in and keep my AI strategy future-proof?

Vendor lock-in is one of the most significant risks in enterprise AI adoption. elvex solves this problem with its AI model marketplace, which gives you instant access to new models as they become available. New models appear in your elvex interface automatically, without requiring platform upgrades, migration projects, or technical integration work. Your agents can leverage cutting-edge capabilities the moment they're released, and you can switch models based on performance, cost, or capability for each specific use case.

With elvex, you're never locked into specific AI vendors or models. You can optimize for speed, accuracy, or cost depending on the use case. If a new model outperforms your current choice, you can switch without rewriting your agents or disrupting your workflows. This model-agnostic approach means your AI strategy remains future-proof by design, protecting your investment and ensuring you always have access to the best available technology.

Can business users really build AI agents without coding or IT support?

Yes — and this is one of the things that separates elvex from most enterprise AI platforms, where building anything meaningful still requires a developer.

What makes elvex's contextual support different from chatbots or help documentation?

Chatbots and help docs share the same fundamental limitation: they wait for you to come to them. elvex's contextual support works the other way around.

elvex's contextual just-in-time support is fundamentally different because it's proactive, not reactive. The system understands what you're working on and anticipates when you might need help, offering guidance before you even realize you're stuck. This approach transforms AI adoption from a challenge into a natural part of daily work.

How does contextual AI support reduce the need for IT support and AI champions?

Every organization that deploys enterprise AI ends up with the same informal structure: a handful of people who figured it out and became the go-to resource for everyone else. That works at small scale. It doesn't scale.

Why is just-in-time AI support more effective than traditional training?

Traditional AI training teaches people about a tool. Just-in-time support teaches people through the tool — while they're doing real work that matters to them.

What is contextual just-in-time AI support and how does it work?

Contextual just-in-time AI support is guidance that arrives inside your workflow, at the moment you need it, based on what you're actually doing — not a help article you have to go find.

What if I need help choosing an LLM?

Choosing the right AI model for a given use case is genuinely non-trivial — and the answer changes depending on what you're trying to do, how sensitive the data is, and what you're willing to spend.

How do I know if the AI model recommendation is right for me?

The honest answer: you test it against real work. No recommendation — from a platform, a benchmark, or a vendor — is a substitute for seeing how a model performs on your actual tasks.

Can I change models after I start using one?

Yes — and on elvex, switching models is a configuration change, not a migration project.

Because elvex is model-agnostic, your agents, workflows, and data connections aren't built on top of any single AI model. They're built on elvex. The model is just the engine running underneath — and you can swap it without touching anything else.

Why does the model I use matter?

Different models are better at different things. Using a premium model for simple tasks wastes money. Using a lightweight model for complex analysis compromises quality. Matching the right model to the job gets you better results at lower cost.

How quickly can we implement elvex?

For most teams, elvex is operational within a day. Enterprise-wide deployment with full governance configuration typically takes one to two weeks — not months.

Will I be able to build the agent or is it a demo?

Security in elvex isn't a feature set bolted onto the platform — it's the architecture. Every layer of the product is built with data governance as a foundational requirement, not an afterthought.

How does elvex compare to building our own AI solution in-house?

Building in-house gives you control. It also gives you a 12-to-18-month runway before anything ships, a team of engineers to maintain it, and full ownership of every problem that comes up along the way.

What types of data can we connect to elvex?

elvex connects to the data your teams actually work with — documents, databases, web content, and the SaaS tools your organization already runs on.

How do elvex Flows improve reliability?

Flows provide unprecedented control over multi-step AI processes with validation between steps, ensuring consistent quality. You can choose different models for each step, implement branching logic, and easily debug when issues arise.

How does elvex ensure our data remains secure and private?

elvex is built on the premise that enterprise AI should never require you to choose between capability and data control. You get both — because the governance layer is built into the platform, not added on top.

What kind of ROI can we expect from elvex?

Customers typically see ROI within the first 3 months through time savings, improved decision quality, and reduced costs. Our team can work with you to calculate potential ROI based on your specific use cases during a personalized demo.

What makes elvex different from other enterprise AI platforms?

AI that prompts you—your team doesn’t need to be AI experts.

The blank chat box is every other provider offloading the work of figuring out how to use AI to your employees. We don’t do that.We believe your AI platform should be proactive. elvex guides your employees to better ways of using AI, based in the context of how your teams actually work. This context references your roles, projects, integrations, company standards, and more.

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