Skip to content

Christy MeekAI Transformation Leader and Product Builder

Less busywork. Clearer decisions. More time back.

I find where work gets stuck and build a practical way forward. Sometimes it takes AI. Sometimes it takes automation or a better process. The outcome determines the approach.

Emailchristy@christybuilds.com

What a few hours a week adds up to.

Hours returned per year
250
Annual value
$16,250

Sample numbers, real math. This runs the ROI function from my open-source Vedette MCP server, and you can read it on GitHub (opens in a new tab).

See the full Vedette demo (opens in a new tab)
01Enterprise

Work I’ve delivered.

Examples from 10+ years delivering technology in a regulated enterprise, from my current role.

  • Executive reporting and automation

    Power BI dashboards for leadership, plus reports, Power Apps, and Power Automate flows that replace copy-and-paste work with repeatable workflows with clear ownership and controls.

    executive dashboards delivered
    20+
    reports, apps, and automations delivered
    100+
  • Microsoft Copilot adoption

    Workshops, prompt libraries, a weekly use-case series, and one-to-one coaching. The aim is people building their own repeatable workflows and agents.

  • ServiceNow intake and knowledge

    Supporting intake and knowledge workflow improvements in ServiceNow.

How I work: most changes need several teams to agree, so I lead through influence. I plan for access, data handling, and review from the first conversation.

Current role: Senior Lead Technology Business Systems Consultant, since 2022.

Full resume (PDF, opens in a new tab)
02Products

What I’ve built.

Three products I designed and built myself. Each project page shows what works today, the evidence, and the current limits.

vedette-lilac.vercel.app
The Opportunities page in Vedette for the fictional Meridian Field Services. Four projected figures run across the top: steady-state net of $134,450, year one net of negative $509,200, 6,771 hours returned, and 26 chunks of evidence cited. Below them, the first ranked opportunity with a weighted score of 7.6.
01AI opportunity assessment

Vedette Decide where AI is worth the investment.

Scores AI opportunities against cited source text. The model proposes and code calculates every ROI figure, so projections show their assumptions instead of hiding them.

Live demo
legacybridge-theta.vercel.app
The LegacyBridge home page. The headline reads, you can retire, your legacy doesn’t have to. Beside it, an exact quote from the fictional owner’s interview, the access codes for their roof are only in my phone, and the dependency LegacyBridge recorded from it.
02Business succession

LegacyBridge Help the business depend less on its owner.

Interviews an owner, keeps each finding in their exact words, and turns the findings they approve into handover tasks for a successor.

Prototype, public demo
talktohudson.ai
The TalkToHudson.ai home page. A calm, nature themed hero over a photograph of trees, with four cards describing full AI capability, wellbeing by design, building it together, and a shared check-in.
03Conversational AI

TalkToHudson.ai Support daily reflection while keeping trusted people involved.

Daily check-ins, memory between sessions, and trusted contacts whose access the user controls. A risk check runs before every reply. It is not a clinical service.

Live in beta

How to check

The demos are public and Vedette’s code is public. Test results, controls, and limits are on each project page. Anything fictional or simulated is labelled.

Also built

  • Complex informationLive

    Pattern18

    Turns large volumes of family-court messages into source-linked timelines, so a person can see the pattern and arrive at an attorney organized. Tools, not legal advice.

  • Operations automationLive, real customers

    Hawkin Standard

    Project intake, one-price quoting, and customer follow-up for a local handyman business. No AI. It runs real jobs today.

  • AI adoptionEarly

    Indispensable

    An independent Microsoft Copilot learning project. People bring a real problem from their own work and build a workflow or agent to solve it.

03

About

I’ve spent my career between the people who do the work and the systems they depend on. Enterprise delivery taught me how budgets, risk reviews, and legacy platforms really behave. Building my own products taught me to ship small, listen closely, and change things fast. I start with who a tool is for, clean up the process before automating it, and decide early what a model should never be allowed to decide. Before any of this I was a collegiate gymnast and worked commercial fishing in Alaska, which is where I learned that progress is mostly repetition and small corrections.

04Contact

Let’s connect.

Questions about my work, a project, or something I built? Email is the best way to reach me.