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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58+ production SQL Server databases under active management
AWS RDS · Multi-AZ · Always On AGs
78% month-end runtime reduction in production
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–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–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–P3)
    Every operational finding ranked by severity and business impact, not technical interest
  • 5–7 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

$15,000–$25,000
Pick one high-impact automation from the audit. Build, deploy, measure. 4–6 week delivery with documented before/after impact.
Step
3

Ritzy AI Operations Retainer

From $7,500/mo
Managed SQL Server reliability, quarterly AI automation enhancements, and on-call expertise. Capped hours, predictable pricing.
Most clients start with the audit and see 3–6× ROI on the implementation within the first year.  The audit pays for itself in the first finding.
Ritzy AI
About Ritzy AI

Senior DBA expertise.
Specialist consulting price.

Ritzy AI is run by Mani, a senior DBA managing 58+ production SQL Server databases on AWS RDS. Multi-AZ deployments, SQL Server 2019 and 2022, Always On Availability Groups, provisioned IOPS on gp3, and deep experience resolving the kind of RDS-specific constraints (like async write throughput ceilings) that most teams don't discover until a production incident forces them to.

The Ritzy AI difference is the AI layer most consultants don't bring: production work with the Claude API, MCP integrations, and a custom diagnostic toolkit (dbaCore) built to turn