Queen City AI
Queen City AI
  • Home
  • Services
    • AI Strategy & Roadmap
    • Workflow Automation
    • Agent Design & Deployment
    • Data Readiness
    • Training & Culture
    • AI Readiness & Governance
    • Analysis & Support
    • Custom Integrations
    • AI Operating Model Design
  • Contact
  • More
    • Home
    • Services
      • AI Strategy & Roadmap
      • Workflow Automation
      • Agent Design & Deployment
      • Data Readiness
      • Training & Culture
      • AI Readiness & Governance
      • Analysis & Support
      • Custom Integrations
      • AI Operating Model Design
    • Contact
  • Home
  • Services
    • AI Strategy & Roadmap
    • Workflow Automation
    • Agent Design & Deployment
    • Data Readiness
    • Training & Culture
    • AI Readiness & Governance
    • Analysis & Support
    • Custom Integrations
    • AI Operating Model Design
  • Contact

AI Integration & Data Readiness

Build the Foundation That Makes AI Work

AI is only as powerful as the data it touches. 


Before agents can reason or automations can scale, your systems need to connect — cleanly, securely, and reliably. 


At Queen City AI, we help Charlotte-area businesses modernize their tech stack, unify their data, and create the infrastructure that turns “AI potential” into real business performance. Because without clean data and connected systems, even the best AI strategy stays stuck in neutral. 


Why Integration & Readiness Come First 

Most AI projects fail not because the model is wrong, but because the data is. A 2024 Deloitte study found that 68% of organizations cite poor data integration as the top barrier to AI ROI. 


We see it every day: 

  • Sales data lives in one system, operations in another. 
  • APIs aren’t configured for bi-directional flow. 
  • Teams export CSVs and copy-paste into reports. 
  • Security protocols block the very access AI needs. 


Integration & Readiness fixes that, aligning your systems, people, and data so AI can deliver insight and action, not chaos. This is the plumbing and wiring that makes everything else run smoothly. 


What “Data Readiness” Really Means 

Readiness is more than data hygiene. It’s about trust. It's about knowing that every workflow, report, and agent has access to the right, accurate, and timely information. 


We evaluate five core readiness pillars: 

  1. Data Health – Accuracy, completeness, and consistency across systems. 
  2. Connectivity – APIs, middleware, and data movement between platforms. 
  3. Structure – Schema, tagging, and metadata alignment for discoverability. 
  4. Security & Governance – Permissions, encryption, and audit trails. 
  5. Usability – Accessibility for AI tools, dashboards, and end users. 


By improving these layers, we help your team unlock AI that’s explainable, secure, and maintainable.

 

What You Get with Integration & Data Readiness 

Our program delivers a clear picture of your current state, a roadmap to fix it, and hands-on help connecting your systems. 


Deliverables include: 

  • System & API audit with dependency map 
  • Data-quality assessment and scoring 
  • Connector design and implementation plan 
  • Data governance and access framework 
  • Integration roadmap aligned to AI use-cases 
  • Optional connector or middleware build-out 

You’ll walk away knowing exactly where your data stands — and what needs to change to make AI successful. 


How It Works 

1. On-Site Discovery Session 

We begin on-site in Charlotte, meeting with your operations, IT, and leadership teams. Together, we map your current systems and pain points — where information stalls, duplicates, or disappears. 


Output: Process and data-flow diagram identifying key integration gaps. 


2. Data & System Audit 

We assess every core system (CRM, ERP, finance, HR, marketing, production) to evaluate API access, data freshness, and sync frequency. We flag bottlenecks, overlaps, and risks that block automation or analytics. 


Output: Technical assessment report + readiness scorecard. 


3. Integration Design 

Using what we’ve learned, we design the data-integration blueprint — defining how systems should talk, what middleware or connectors to use, and where to apply validation rules. 


Output: Integration architecture diagram with recommended tools and sequencing. 


4. Implementation Support 

If you choose, we can implement or oversee the integrations — configuring APIs, building secure connectors, or setting up middleware (Power Automate, Zapier, Azure Data Factory, Make, etc.). 


Output: Live connections between systems, monitored and documented. 


5. Validation & Governance 

Once integrations go live, we test end-to-end data flow, verify accuracy, and document rules for maintenance and compliance. Governance frameworks ensure your AI agents, dashboards, and automation stay reliable long term. 


Output: Verified, governed data environment ready for AI deployment. 


Example Use Cases 


Manufacturing – Connect shop-floor systems with ERP data to forecast downtime and improve production planning.
Financial Services – Integrate accounting, CRM, and BI tools for automated reconciliations and real-time insights.
Healthcare Ops – Merge scheduling, records, and billing systems with HIPAA-compliant safeguards.
Marketing & Sales – Centralize campaign and CRM data for unified performance reporting.
Logistics & Supply Chain – Automate shipment and inventory tracking across multiple providers. 


Each case begins with integration... and ends with faster, cleaner decision-making. 


Why Charlotte Firms Choose Queen City AI 

We live and work here. We know what it’s like for mid-market Carolina companies juggling legacy systems and new tools. You don’t need another vendor telling you to rip everything out — you need a partner who can make what you already have work together. 


Our edge: 

  • Local, on-site collaboration — we meet your team where the data lives. 
  • Vendor-neutral guidance — we choose the right stack for your business, not ours. 
  • Security first — SOC2-aligned practices for access, encryption, and auditability. 
  • Operator experience — we’ve run the systems we’re improving. 


Our promise: practical integration, not IT jargon. 


Engagement Models After Discovery 

Once your Discovery Session defines the integration roadmap, we offer flexible ways to engage: 


Retainer Partnership – Ongoing integration management, monitoring, and data-governance oversight.
Project-Based Implementation – Fixed-scope connector or API buildouts delivered with documentation.
Software & App Development – For advanced cases, we create custom middleware or data-access apps unique to your environment.
Training & Enablement – We teach your internal teams how to manage integrations safely and efficiently. 


All engagements start with clarity — a map of where you are, where you’re going, and how your systems get there. 


Results You Can Expect 

  • 50–80% faster data availability across critical systems 
  • 30–60% reduction in manual reporting effort 
  • Improved decision accuracy from unified data views 
  • Fewer IT support tickets thanks to consistent integrations 
  • Stronger compliance posture with defined data governance 


When your data flows freely, AI can finally deliver on its promise. 


Ready to Connect the Dots? 

Your data already holds the answers. It just needs the pathways. Start with a Discovery Session, an on-site, 2-3 hour workshop where we map your systems, identify integration gaps, and design a plan that supports every future AI initiative. 


Book Your Discovery Session
Build the foundation for scalable AI success.

Work with an AI Strategist Today

We help businesses build practical AI roadmaps that drive measurable ROI.


No hype, just results.

Find out more

Copyright © 2025 Queen City AI, LLC - All Rights Reserved.

  • Contact
  • QC Solutions
  • About
  • Blog
  • Discovery
  • Privacy Policy

This website uses cookies.

We use cookies to analyze website traffic and optimize your website experience. By accepting our use of cookies, your data will be aggregated with all other user data.

Accept