ORVIS MISSION CONTROL // PUBLIC DASHBOARD
Dalton
Orvis
DIRECTOR OF AGENTIC SYSTEMS
I put AI agents into production and keep them there. At IdeaRoom I lead the shift to an agentic-first operating model from the Executive Leadership Team — including a platform operations agent flown daily by 50+ people at 35x throughput. I also consult for teams that want the same, working alongside them rather than from a slide deck.
Flight-Proven Numbers
0x
THROUGHPUT
Reduction in hours per Tier 1/2 CX ticket
~0%
COST SAVINGS
vs. equivalent human-wage hours, same work
0+
DAILY OPERATORS
Internal users flying OPS-1 as a daily driver
0+
YEARS FLIGHT TIME
Full-stack engineering — Verisk, ReliaQuest, IdeaRoom
SOURCE — OPS-1 PLATFORM OPERATIONS AGENT · IDEAROOM-3 MISSION DATA · TIER 1/2 SUPPORT WORK
Missions Flown
IDEAROOM-3
DURATION ONGOING
ACTIVEIdeaRoom, Inc.
JAN 2026 — PRESENT
DIRECTOR OF AGENTIC SYSTEMS — EXECUTIVE LEADERSHIP TEAM
Current mission. Began as a consulting engagement — architecting an end-to-end agentic pipeline for support automation — and converted into a director role reporting to the CEO. Now leading the company-wide shift to agentic-first operations.
- Architected and shipped OPS-1, the platform operations agent adopted by 50+ internal users — 35x throughput, ~97% cost savings on Tier 1/2 support work
- Own the agentic infrastructure end-to-end: architecture, deployment, observability, and LLM token unit economics
- Partner with Product on Platform AI features for 300+ manufacturer and dealer customers
- Consulting phase delivered the 4-phase technical roadmap that became the company’s agentic AI strategy
LangGraphClaude APIOpenAI APILangfusePydantic/ZodRAGRQ-2
DURATION 0Y 6M
COMPLETEReliaQuest
SEP 2025 — MAR 2026
SOFTWARE ENGINEER
Short, high-tempo rotation on a cybersecurity platform. The mission objective shifted from features to fleet enablement: getting AI into the team’s daily workflow.
- Integrated AI-powered code reviews into the CI/CD pipeline, catching issues earlier in the cycle
- Ran the weekly AI training session teaching senior and mid-level engineers AI-driven workflows
- Shipped AI agent systems into production workflows for automated analysis and decision support
TypeScriptReactJavaPythonGraphQLLLM APIsVERISK-1
DURATION 2Y 7M
COMPLETEVerisk Analytics
FEB 2023 — SEP 2025
SOFTWARE DEVELOPMENT ENGINEER IN TEST II
First long-duration mission. Co-architected a department-wide QA automation platform and led the org’s first serious evaluation of AI tooling.
- Co-architected a department-wide automation app (Next.js + ASP.NET) saving 30+ minutes daily per user across 20+ engineers
- Built the first GraphQL contract testing architecture in the flagship Xactimate Online product
- Led the QA org’s AI tool evaluation — research and proofs-of-concept that guided executive adoption decisions
- Promoted to QA Team Lead for backend services within the first year
C#/.NETNext.jsGraphQLContract TestingAI Tool Evaluation
- 2020 — 2023
- SCINTILLANT BIOSCIENCE
- Program origin. Biology labs — automating data analysis with Python/Pandas, 30-minute manual processes to sub-second execution.
- 2020 — PRESENT
- INDEPENDENT OPERATIONS
- 5+ production applications shipped across e-commerce, SaaS, and enterprise. RAG systems, multi-tenant platforms, payment rails.
- 2023 — 2024
- NINE DESIGN + WEB
- Enterprise social platform on Laravel — Redis queues cut response times 65% at 5x concurrency.
- 2022 — 2023
- MAIDEN VOYAGE SOFTWARE
- CRM processing 10K+ daily interactions — 3x faster page loads, 80% less database load.
PROGRAM ORIGIN — biology labs, automating data analysis with Python. That foundation in complex-systems thinking still steers the program: understanding when emergent behavior adds value, and when it creates unpredictable risk.
Flight Rules
Mission control keeps flight rules — decisions written down before the pressure hits, so you don’t improvise them at 2 a.m. These are mine, learned across enough launches to know which failures repeat.
- FR-01
Ask “what problem are we solving?” before “what model should we use?”
Most failed AI projects skip this step.
- FR-02
Test against real outcomes before scaling anything.
A demo that impresses leadership is not the same as a tool people use.
- FR-03
Build the error handling and oversight layer before the flashy parts.
Production AI that fails silently is worse than no AI.
- FR-04
Write code alongside the teams you advise.
Consulting advice from people who stopped building tends to age badly.
- FR-05
The agent isn’t done when it works. It’s done when the team trusts it.
Onboarding is part of the deliverable — including knowing when not to use it.
Establish Uplink
Working on something interesting? Open a channel. I read every transmission.
Advisory support is available. I consult with small-business engineering and product teams getting up to speed with LLMs and agents — discovery, scoping, architecture, and hands-on implementation. Most of the value is in scoping and sequencing; I do that work alongside your team, not from a slide deck.
EXPECTED RESPONSE — WITHIN ONE ORBIT (24–48H)
AUXILIARY CHANNELS