Production database support and planned migrations.

Find what's slow, what's risky, what's missing.

We inventory the database estate, test at least one restore, review access, and capture a workload baseline. You receive a plain-English risk register and a ranked remediation plan. The Lite tier also includes one agreed fix.

What you get

• Written report with prioritized fix list
• Verified test restore of at least one production database
• Access / permission inventory
• Performance baseline (top wait stats, slow queries, missing indexes)

Engagement

Three commitment sizes scaled to your estate. Lite: $1,500 — 1 week, single database, plain-English summary, one agreed remediation included. Standard: 2 weeks, full instance, formal risk register. Premium: 3–4 weeks, full estate audit and executive readout. Standard and Premium are quoted after a 30-minute scoping call.

Discuss this engagement →

Make slow databases fast — measured, not guessed.

We use Query Store, wait statistics, and a non-production test harness to isolate the queries, plans, indexes, or configuration behind the slowdown. Changes are measured against the same baseline before they are accepted.

What you get

• Workload baseline (Query Store, wait statistics) + non-prod reproduction harness
• Specific index / query / configuration changes, applied and reviewed
• Before/after metrics against the same baseline
• Maintainable runbook handed to your team

Engagement

2–4 week fixed-fee project. Final fee agreed in writing after a 30-minute scoping call.

Discuss this engagement →

Move databases off aging servers, or between platforms — without downtime surprises.

For on-premises-to-cloud moves, we size the target, rehearse the cutover, and document rollback. For cross-platform migrations, we map dependencies and compare procedure, report, and ETL outputs row by row. The target environment is provisioned as code and monitored before cutover.

What you get

• Migration plan with explicit rollback procedure
• Staged cutover with validation gates between phases
• Object-level test harness (procs, functions, views, ETL)
• Performance and cost baseline on the new platform
• Operator runbook for ongoing maintenance

Engagement

Project-based. Scope and timeline depend on database size, object count, and downtime tolerance. Final fee agreed in writing after a 30-minute scoping call.

Discuss this engagement →

Safely point Claude, Copilot, or your own agents at your business data.

We connect approved AI tools to existing databases through a read-only service account, an explicit table and view allow-list, and audit logging. Access begins in staging and reaches production only after security review.

What you get

• MCP server configured against your databases
• Read-only AI service account with least-privilege schema scoping
• Audit-logging plumbing so you can see exactly what your agents read
• Documented allow-list of tables / views the AI can reach
• Optional: reporting API + dashboard integration

Engagement

2–4 week project covering one staging environment plus production cutover. Final fee agreed in writing after a 30-minute scoping call.

Discuss this engagement →

Test the assumptions behind a data or AI idea before funding the build.

We identify the claims that would make or break the idea, test them against live sources and operating constraints, and check whether an existing product already solves the problem. The engagement ends with a build, buy, narrow, partner, or stop recommendation.

Read the signal-engine validation case study →

What we do

• Define the decision the proposed system must improve
• Test the assumptions most likely to invalidate the idea
• Check data availability, quality, ownership, timeliness, and cost
• Compare commercial alternatives with a custom build
• Run a focused sample, source test, or retrospective backtest

What you get

• Viability assessment and risk register
• Data-source and vendor analysis
• Sample or backtest findings
• Build, buy, partner, narrow, or stop recommendation
• Budget range and gates for any next phase

Best for

• Data products and signal engines
• AI-assisted internal workflows
• Projects dependent on external or incomplete data
• Ideas where a failed build would consume significant time or capital

Engagement outcome

A written decision backed by evidence, with the next investment gated to what the tests actually support.

Engagement

2–4 week fixed-scope assessment. Build proceeds only after the validation gates pass. Final fee agreed in writing after a 30-minute scoping call.

Discuss this engagement →

A controlled workflow for drafting, approving, publishing, and monitoring recurring content.

We build a scheduled pipeline that turns approved source material into drafts, routes them for human review, publishes through supported channels, and records failures. Brand and market rules live in configuration so the workflow can expand without a rebuild.

What we build

• Scheduled production for scripts, captions, graphics, and short-form video
• Brand, audience, market, and campaign rules stored as configuration
• Human approval before publication
• Distribution through supported social and content platforms
• Monitoring, failure alerts, and retry handling
• Reporting on which topics and formats merit another cycle

What you get

• Workflow architecture and production pipeline
• Brand, market, and approval controls
• Distribution integrations
• Monitoring and exception handling
• Operating runbook and team handoff
• Optional ongoing managed operation

Best for

• Professional-services and real-estate teams
• Multi-location or multi-market businesses
• Organizations with limited production staff
• Teams spending too much time on repetitive publishing work

Engagement options

Platform Setup

Design and implement the production, review, and distribution system.

Managed Content Operations

Operate the approved workflow on an ongoing schedule, including production oversight, publishing, monitoring, and monthly refinement.

Market Expansion

Extend the platform to new regions, audiences, campaigns, or business units through configuration rather than rebuilding the system.

Engagement outcome

One reviewable operating system for recurring content, with human approval retained and exceptions visible.

Engagement

Platform setup is a fixed-scope project; managed operations and market expansion are scoped as ongoing options. Final fee agreed in writing after a 30-minute scoping call.

Discuss this engagement →

A senior DBA on call, without a full-time hire.

Monthly support for businesses where database incidents, maintenance, and capacity planning need a named senior owner. The retainer includes same-day business-hours incident response, a monthly health report, and a quarterly priorities review.

What you get

• Same-day incident response (business hours)
• Monthly health-check report
• Index / partition / archive maintenance on schedule
• Quarterly review with the ranked next-fix list
• Direct line to the engineer doing the work, not a ticket queue

Engagement

Three retainer sizes scaled to your hours-per-month need: Starter (8 hrs), Growth (16 hrs), Scale (32+ hrs). Monthly fee quoted after a 30-minute scoping call. Pairs with any project engagement after delivery.

Discuss this engagement →