AI Operations Consulting, SQL Server on AWS

Your SQL Server is slow, expensive, and invisible to AI. We fix all three.

We help mid-market companies running SQL Server on AWS turn their database operations from a cost center into an AI-augmented advantage, without the cost of a full-time hire.

Book a 15-Minute Discovery Call See the $5,000 Audit

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Full production environment read in under 90 minutes
AWS, Multi-AZ, Always On AGs
$2.1M estimated cost of inaction found in one anonymized scan
Fixed price, 5 business days, no retainer required
Sound Familiar?

These problems are costing you more than you think

Mid-market companies running SQL Server hit the same four walls. Most can't see the dollar figure until it's too late.

Month-end close taking 3 days instead of 3 hours

SQL Server performance nobody can explain or fix

DBA team too small, too busy, or too expensive to scale

Data that can't connect to AI because the foundation is broken

The Anchor Offer

The $5,000 AI Readiness Audit

Delivered in 5 business days
$5,000 flat fee, no retainer required

In 5 business days, we run a comprehensive diagnostic against your SQL Server environment and deliver a written report covering two things most consultants don't combine in one engagement: (1) where your database operations are silently costing you money (slow month-end closes, hidden capacity ceilings, query performance regressions), and (2) the specific, prioritized AI automation opportunities your stack is ready for right now.

You walk away with a health grade (A to F), a cost-of-inaction figure your CFO will recognize, a 90-day implementation roadmap your team can execute, and the clarity to either run with it yourself or bring us back to ship the high-impact pieces.

Start With the Audit
Not ready to commit?
Run our free diagnostic on your SQL Server first. No software installed, nothing leaves your network. See your finding count and cost-of-inaction estimate before we ever talk.
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What You Get

  • Health Score Report (A to F Grade)
    Overall grade across architecture, capacity, performance, and AI readiness
  • Cost of Inaction Estimate
    Annual dollar figure of what your current state is costing you in operational drag, capacity overspend, and missed automation opportunity
  • Prioritized Fix List (P1 to P3)
    Every operational finding ranked by severity and business impact, not technical interest
  • 5 to 7 AI Automation Opportunities
    Concrete automations specific to your stack: query plan analysis bots, anomaly detection, runbook generation, natural-language data interfaces, each with effort estimates
  • 90-Day Implementation Roadmap
    Sequenced delivery plan your team can execute (or we can ship for you)
  • Jira / ADO / ServiceNow Ticket Templates
    Every finding pre-formatted as an importable ticket, routed by department with acceptance criteria, so your CTO can assign work and track remediation from day one
  • 60-Minute Findings Walkthrough
    Live debrief with your technical team, with every finding explained in plain language
How Engagements Work

A clear path from diagnosis to ongoing performance

Step
1

AI Readiness Audit

$5,000
Diagnostic + AI opportunity assessment. Health grade, cost of inaction, and 90-day roadmap. Delivered in 5 business days.
Step
2

AI Automation Sprint

The post-audit path
When the audit surfaces a high-impact automation, we build it, deploy it, and document the before and after. Your $5,000 audit fee is credited toward the Sprint if you move forward.
Step
3

Ritzy AI Operations Retainer

Ongoing partnership
Managed SQL Server reliability, quarterly AI automation enhancements, and capped on-call expertise, for teams that want an ongoing rhythm rather than a one-time project.
Most clients start with the audit. It pays for itself in the first finding, and the fee credits toward the Sprint if you continue.
Ritzy AI
About Ritzy AI

An AI operations practice that
specializes in SQL Server.

Ritzy AI is not a DBA shop that added AI to a slide. It is an AI operations practice built specifically for mid-market companies running SQL Server on AWS. Founded by Mani, the practice pairs years of hands-on operation of production SQL Server estates on AWS (Multi-AZ, Always On availability groups, provisioned IOPS on gp3, and the AWS-specific constraints most teams do not discover until a production incident forces them to) with an AI layer most consultants do not bring.

That layer is a custom diagnostic platform (dbSQLcore) that reads a live production environment through 29 checks and, using the Claude API, turns it into a prioritized, dollar-valued action plan in under 90 minutes. Work that used to take a week of manual investigation now takes an afternoon, and it ends with a number your CFO understands.