AI works. The problem? Most companies are drowning in complexity trying to make it work.
Shockingly, research shows the average organization has 254 AI apps in use, whether they know it or not 3. So assuming your AI maturity is about average, then 93% of your employees are already using generative AI without telling anyone. And your data? Scattered across systems that don’t talk to each other, delivering maybe 40-60% accuracy when you try to connect the dots.
The issue isn’t that businesses don’t want AI. It’s that the path to getting there is loaded with decisions, technical debt (hitting 75% of companies by 2026), and a talent shortage that can stall projects for 4-7 months.
Here’s the reality: You don’t need to become an AI company. You need AI to work for your actual business.
The Problem Isn’t Ambition, It’s Execution
Every organization we talk to hits the same walls:
Shadow AI is everywhere
93% of employees are already using unapproved AI tools → uncontrolled risk, data leaks, inconsistent results
Tool sprawl is crushing teams
Average company touches 254 different AI applications → models, databases, agents, frameworks changing weekly
Data integration is broken
RAG systems hit 40-60% accuracy when implemented poorly → bad outputs kill trust and slow adoption
AI talent doesn’t exist
4-7 month hiring timelines for roles that are already scarce → funded initiatives sit idle
ROI pressure is real
Most orgs report 2-4 year payback periods → pilots stall, investment gets wasted
One Decision vs 30,000 Decisions
The Expedient AI CTRL Platform removes the complexity so you can focus on outcomes instead of infrastructure.
Instead of building a Frankenstein stack of models, vector databases, security tools, and data pipelines yourself, you get a curated, integrated platform running in secure private cloud:
- Auto model routing → employees get the best tool for the job without needing to be deeply AI knowledgeable
- AI-powered data source routing → no need to manually select which sources to query
- Self-service collaboration → create agents, workspaces, and knowledge bases, and share chats scoped to individuals, groups, or the whole company. You can create your first agent in seconds.
- Built-in governance → guardrails, observability, auditability
- Outcome-focused automation → workflows that solve real business problems, not just tech experiments
There’s a massive difference between building AI and using AI.
- DIY = Complexity, risk, stalled pilots
- Expedient = One decision, accelerated outcomes
What This Actually Looks Like
Predictable Economics
No stacked margins. GPU infrastructure, model updates, data pipelines, security—we handle it. You adopt AI broadly without runaway costs or needing to hire a team of PhDs.
Fast Time to Value
- Day 1: Secure AI chat
- Day 30: AI-ready data
- Day 60-120: Automated workflows, embedded AI, measurable business outcomes
This timeline addresses ROI pressure without requiring you to over-commit or over-invest upfront.
Who This Is Really For
Finance managers. Support teams. HR leaders. Sales reps. Operations analysts.
Not just data scientists.
The platform extends AI beyond the tech-savvy few and puts it in the hands of people solving actual business problems:
- Eliminate Shadow AI risk
- Unlock value from existing data
- Automate repetitive processes
- Make better decisions with accurate insights
- Modernize infrastructure without expanding headcount
- Accelerate innovation without the technical debt
And here’s the kicker: the workspaces are a light version of our business process automation engine, so as you get comfortable, you can scale into full agentic workflows when you’re ready.
Simplicity Scales. Complexity Fails.
You don’t need the biggest models or the most sophisticated tools. You need a partner who makes AI usable, governed, and aligned to problems that actually matter to your business.
That’s what we built.
