We help teams that are running reports by hand, sitting on data they don't quite trust, and trying to use AI without leaking client information. Sandboxed AI integration, data cleanup, and guardrailed Markdown skill bundles — built by an operator, not an agency.
No vendor lock-in. No invented facts. Just solutions that fit how you actually work.
Markdown skill files for real estate professionals and any solo business. Calibrated to your state. Every one ships with the same guardrails we use on real client work.
Every engagement is scoped to the actual problem — not a predetermined product. Same builder for data cleanup, sandboxed AI, and the skill bundles you can buy off the shelf.
Your data doesn't have to live in three spreadsheets and an export no one trusts. We consolidate, clean, and structure what you have — then build reporting that answers real questions and runs without starting from scratch every week.
Manual handoffs and undocumented steps are a risk. We map what you have, identify where time and accuracy are being lost, and design something cleaner — documented, repeatable, and built for how your team actually works.
AI that stays inside your walls. We build sandboxed environments where your data never touches a public model, and ship guardrailed Markdown skill files that won't invent facts or leak personal information. Off-the-shelf bundles are at /skills.
We spend time understanding what's actually breaking down before we recommend anything. Faster delivery, less disruption, no dependency on us to keep things running.
Most "AI integration" sends your data to a public model. That's not viable for organizations handling client records, financial data, or proprietary processes. We build differently.
The model runs inside your cloud account, your servers, or an isolated container — not on shared infrastructure.
Client records, internal docs, financial data — none of it leaks into a vendor's training pipeline.
Two-minute quiz. Tells you which of the most common AI mistakes your team is making — and what to do about it.
"Most issues aren't really data problems. They're documentation problems, process problems, or tooling problems — and data is just where the cracks show up first."
Common triggers for an engagement: reports that eat hours every week, institutional knowledge that leaves with the person who holds it, and AI that's been quietly leaking client information because nobody put guardrails on it.
If any of that sounds familiar, we'd like to talk.
You work directly with the people doing the work. No account managers, no hand-offs to junior staff.
Emily leads ParClark Tech Solutions with a practical, analytical approach to solving business problems. Her work centers on helping teams make better use of the data and systems they already have — cleaning up structure, improving reporting, and shipping AI guardrails that hold up in real workflows.
e_clark@parclarktechsolutions.com
Doug brings over 20 years of executive leadership experience in the health insurance industry to ParClark. He supports the firm across business operations, coordination, and client-facing logistics — keeping projects on track, communication consistent, and nothing falling through the cracks.
td_clark@parclarktechsolutions.comWe build sandboxed environments where your data never touches a public model. The AI runs inside your controlled environment — your cloud, your servers, or an isolated container. Nothing is stored outside your control and nothing is used to train any model.
Consulting is custom: we scope, build, and hand off. The skill bundles at /skills are off-the-shelf Markdown files you drop into Claude, ChatGPT, or Cursor — with the same guardrails we use on consulting engagements. Buy once, use forever.
Most projects start with a 20-30 minute discovery call. We scope the work, agree on timeline and deliverables upfront, and build. Documentation included so your team can maintain it without us.
Primarily small and mid-size businesses — typically 5 to 200 people — with real operational complexity but no full internal data or engineering team.
Python and SQL for data and automation. Power BI and custom dashboards for reporting. Sandboxed AI deployments for any model work. We build within your existing stack — no platform-switching required.
A focused data cleanup and reporting project is typically two to four weeks. Process redesign runs four to eight weeks. Sandboxed AI deployments are usually complete within six to ten weeks.
Most conversations start with a 30-minute call. Tell us what's slowing your team down and we'll be straightforward about what we can do — and what we can't.
No sales pitch. Just an honest conversation about your problem.