Enterprise AI Implementation

Is Your AI Roadmap a Moving Target?

AI has infused every aspect of business planning. From the board room to the developer desk, it’s clear AI is the future—but not clear what the future should look like. While AI has moved into production for at least one function for most businesses, the majority of AI efforts are still in the experiment and pilot stages. Why? Among the many reasons, building the necessary tech stack demands new skills and is extremely hard to adopt, integrate, and the pieces and parts continue to evolve faster than most teams can keep up with. It’s no wonder company AI roadmaps become obsolete by next quarter.

Feeling Behind? You’re Not Alone… and You’re Not Lagging.

The surge of headlines and hype can make many organizations feel they’ve fallen behind, but AI maturity is measured by practical progress and fit, not by Linkedin posts and press cycles. Use the pragmatic, step‑by‑step approach below to identify the right opportunities, build capabilities, and scale at a pace that works for you.

How to Deploy AI Responsibly

The Right Strategy

Start with your “why” before the “how”—and consider outside expertise: 66% of companies report better AI outcomes with a strategic partner. Expedient’s AI Outcomes team helps prioritize use cases tied to your goals and compliance, then guides a Stabilize‑Optimize‑Modernize path that establishes security and governance, deploys secure AI chat to boost productivity, and leverages your data to improve accuracy and enable agentic workflows. Our platform turns that roadmap into achievable, lower‑risk, lower‑cost outcomes.

Steps to take:

1

Define an AI use policy inside your business​

Balance the need for enriched AI experiences with privacy and proprietary interests.​
2

Provide an alternative to “Shadow AI”​ 

Safeguard against risks while promoting responsible and aligned AI development.
3

Define your AI use cases​

Ensure that AI projects are not just technically sound but also closely aligned with business objectives.​
4

Get your data “AI Ready”​

Eliminate incompatible protocols, structure, and ensuring optimal storage and accessibility.
5

Implement a Secure Private Inference solution

Run the AI inference alongside existing infrastructure with layered foundational models fine tuned on your data.

The Right Infrastructure

True AI impact depends on infrastructure: on‑demand compute, AI ready storage, low‑latency connectors to SaaS platforms, CRMs, and other external data sources, support for agentic workflows, and private model hosting.

Without that foundation, production deployments run into scale, performance, cost and governance problems – and hyperscale cloud hosting or a DIY build can be expensive and complex.

Expedient’s curated, integrated AI stack delivers a dedicated platform instance in our private cloud with on‑demand compute, scalable AI storage, pre‑engineered connectors, and private model hosting so you can collocate apps and data, cut latency, and enforce security and governance.

In short: skip the infrastructure headaches and move from pilot to business‑critical AI faster and more cost‑effectively.

Laptop in center of room

The Right Guardrails

The benefits of AI are massive, but so are the risks—especially when proprietary data is used to train public models or employees use unsanctioned ‘shadow AI’ tools. It’s predicted that by 2030, more than 40% of enterprises will experience security or compliance incidents linked to shadow AI. Without clear governance, you risk security incidents, data loss, and compliance failures.

Expedient’s AI CTRL Platform simplifies and enforces consistent security and governance at every step. Your AI assets and data stay private in an isolated deployment on our cloud, preventing public AI tools from using your information for model training. All AI use is managed through a secure gateway that enforces your existing role-based access controls (RBAC) and security policies, while built-in observability provides a clear view of AI utilization across the organization. This allows you to adopt AI with confidence, accelerating innovation while keeping your organization safe.

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Expedient AI CTRL Platform Services

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Secure AI Gateway

  • Intelligent, secure AI chat with industry-leading models
  • Smart Model Router selects best model in real-time
  • User authentication via existing AD, OAuth, or SSO
  • Protects PII and confidential data
  • Accessed via private UI or API
  • Pair with enterprise data for improved context and quality
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Agentic Workflow Engine

  • Prebuilt agentic workflows for common use cases
  • ROI dashboards show tangible proof of value
  • Enforces same policy-based security and governance
  • Powered by your enterprise data
  • Human expert guides available to accelerate outcomes
  • Use with Secure AI Gateway for unified chat-based interface
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Expedient AI Ready Storage (Vector Database) Icon

AI Ready Storage (Vector Database)

  • Indexes and stores embeddings
  • Enables semantic search
  • Provides generative AI models with relevant search results from your data using Retrieval-Augmented Generation (RAG)
  • Field and document level security with role-based permissions
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AI Data Connector

  • Accelerated connectivity to enterprise data sources including database, CRM, SaaS, ERP, and more
  • Copies data to AI ready storage for centralized access and better performance
  • Builds data pipelines to automate updates for real-time insights
  • Automatically transform data into formats suitable for AI
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Private Model Hosting (LLM / ML)

  • Hosted within your dedicated instance of AI CTRL Platform on private cloud
  • Supports retrieval-augmented generation and private inference
  • overed by the same security and governance policies
  • Seamlessly accessible via Secure AI Gateway chat interface, API, and automated or agentic workflows

Schedule a AI Conversation

Expedient respects your right to privacy and we will never sell or share your data. If you have immediate questions or need more information, please call 877-570-7827, Monday through Friday 8 am – 5 pm ET.

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From AI Pilots to AI Outcomes: What Actually Changes in 2026

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