SELF-HOSTED DIAGNOSTIC REASONING
Built for Microsoft SQL Server environments
A DIFFERENT OPERATING MODEL
TRADITIONAL MONITORING
Observes conditions and raises alerts.
Continuously watches metrics and conditions
Detects thresholds, failures and events
Raises alerts when configured conditions are met
Leaves investigation and correlation to the engineer
SIMPLE EXAMPLE
Backup overdue
AGENTDBA
Investigates evidence on demand.
Invoked on demand for an investigation
Selects diagnostic areas based on the investigation
Reasons across evidence from multiple diagnostic modules
Ranks findings by severity and confidence
Explains what the evidence supports
States explicitly when root cause cannot be proven
INVESTIGATION EXAMPLE
Investigates the backup state, relevant job failures and supporting evidence — then reports only relationships the evidence can prove.
CONTROLLED INVESTIGATION PROCESS
1. INVOKE
Start an investigation
A DBA or operator asks AgentDBA to investigate the SQL Server instance or perform a health assessment.
2. GATHER
Collect approved evidence
AgentDBA selects from its available diagnostic modules and gathers structured, read-only evidence through approved diagnostic tools.
3. REASON
Decide what to inspect next
The reasoning loop evaluates the findings, determines whether more evidence is required, and chooses the next diagnostic action within controlled limits.
4. CONCLUDE OR ESCALATE
Return what the evidence supports
AgentDBA prioritises findings using severity and confidence, produces an evidence-bound assessment, or escalates when a condition requires immediate attention.
SECURITY
Read-only operation
Investigations gather evidence without changing SQL Server.
Approved diagnostic allow list
Uses approved stored-procedure diagnostic tools.
No LLM-generated SQL
Diagnostic actions remain controlled and known.
Self-hosted deployment
Operates inside the customer’s environment.
Customer-controlled AI provider
Uses the organisation’s configured endpoint.
Auditable diagnostic activity
Activity is structured for review and traceability.
Evidence-backed causal claims
States when the evidence cannot prove a cause.
SUPPORTED TECHNOLOGY
Tested and supported environments for controlled diagnostic investigations.
SQL Server 2017
Tested
SQL Server 2019
Tested
SQL Server 2022
Tested
SQL Server 2025
Tested
AgentDBA is self-hosted and runs against supported Microsoft SQL Server environments.
AI PROVIDERS
Use your approved AI provider.
AgentDBA supports customer-configured Microsoft Foundry / Azure OpenAI and Anthropic Claude endpoints. The models below have been tested with AgentDBA.
Microsoft Foundry / Azure OpenAI
GPT-5.4 • GPT-5.5 • GPT-5.6 Sol • GPT-6 Sol • GPT-6.1 Sol
Anthropic Claude
Claude Sonnet 5 • Claude Sonnet 5.5 • Claude Opus 4.8 • Claude Opus 5 • Claude Opus 5.5
Model availability depends on the customer’s configured provider and deployment. Models are listed only after validation with AgentDBA.
WHO IT IS FOR
MSPs
Investigate SQL Server issues across multiple customer estates.
DBA Teams
Reduce manual diagnostic evidence gathering and investigation effort.
AgentDBA was designed and engineered by a former 4× Microsoft MVP in Data Platform with extensive experience across enterprise data, cloud and AI architecture.
Built for controlled SQL Server environments.
Self-hosted • Read-only • Customer-configured AI • Standard diagnostic modules
EVALUATION
Send us a short enquiry and we’ll get back to you about a 14-day evaluation for one SQL Server instance.
Send an Enquiry
Is AgentDBA a monitoring tool?
Does AgentDBA modify SQL Server?
Does AgentDBA generate SQL queries?
Which SQL Server versions are supported?
Which AI providers are supported?
What does AgentDBA investigate?
Investigate SQL Server issues using controlled, evidence-driven agentic reasoning.