Product operators with 30+ years across public sector, health, finance, and enterprise. We help organizations govern AI adoption, ship agent platforms, and deliver mission-critical systems — not another chatbot layer on broken process.
Breadth across industries — plus a flagship path for organizations that need AI under control before they scale it.
Policy, risk controls, and governed workflows connected to private infrastructure and production delivery — our flagship path for organizations scaling AI under real accountability.
Multi-agent orchestration, knowledge engineering, and production APIs — coordination layers for real work, not novelty chat interfaces. We’ve been building these systems since before the current wave.
Mission-critical systems from concept to production. Air quality platforms, vaccine distribution systems, seismic processing engines, IoT compliance networks — built under pressure, shipped on time.
Digital transformation for large organizations. Legacy modernization, stakeholder alignment, and executive-ready roadmaps — at enterprise scale.
React frontends, Node.js backends, blockchain integrations, content platforms. We design and build the whole stack — then ship it, maintain it, and make sure it works for real users.
Flagship offering
Use AI without losing control. We help executives and operators move from shadow usage and vendor sprawl to policy, governed workflows, and production systems — with the same team that builds private infrastructure and agent platforms.
Sensitive data enters tools nobody approved. Leaders cannot see cost, risk, or return.
Strategy decks and acceptable-use PDFs that never connect to how teams actually work.
Chatbot demos that never become governed workflows with owners, monitoring, and handoff.
A gated engagement model with exit criteria at each phase — not open-ended discovery.
What is actually happening?
Interviews, usage inventory, risk register, and priority workflows grounded in your operating reality.
You get: risk map, usage map, scoped workflow candidates
What are the rules?
Policy direction, data-handling rules, vendor/model review, architecture choices, and success criteria — signed before build.
You get: governance charter, approval paths, build scope
How does it work here?
Governed workflows wired into your environment — private or hybrid infrastructure, integrations, and guardrailed tooling.
You get: 1–2 production workflows, not a science fair of demos
How does it stay safe?
Training, monitoring, runbooks, hypercare, and optional managed operations so adoption does not end at launch day.
You get: trained operators, observability, handoff or managed ops
Usage rules, data classes, vendor review, and human-in-the-loop controls — not boilerplate alone.
When data sensitivity matters, we deploy and operate governed AI on infrastructure you control.
Usage, risk, and spend dashboards so leadership can govern adoption — not guess at it.
Playbooks and sessions so sponsors, IT, security, and line teams share the same model.
Tell us your constraints — industry, sensitivity, timeline — and we will propose a crisp first phase.
We’ve been doing this a long time. Here’s what that looks like in practice.
Industry-recognized delivery for air quality and compliance systems that protect 17M+ residents across multiple states.
We work on how emerging technology reshapes organizations — governance, operators, compliance, and users — not on pitching the next conversational UI. A cross-industry scaffold library captures reusable patterns from that breadth.
Shipped a statewide vaccination operations platform in 15 days during the pandemic response. Full-stack production systems from frontends to APIs to cloud infrastructure — on time, every time.
From seismic processing on large GPU clusters to blockchain marketplaces to legacy Fortran modernization. If it computes, we’ve probably built something like it.
Operators, not observers. We’ve been building at the edge for decades.
This partnership predates the current AI wave — and a shared, slightly earnest belief that open, community-driven networks matter. (Including the one with the dog.) We build serious production systems; we don’t require finance to be joyless to take it seriously.
Strategy, architecture, delivery
Turns hard problems into shipped products across public sector, health, finance, and enterprise. Award-winning platforms serving millions. Cross-industry breadth — orchestration, compliance systems, marketplaces — from requirements to production.
HPC, legacy modernization, distributed systems
20+ years in scientific computing and systems other shops avoid — seismic processing, GPU clusters, Fortran-to-modern migrations, real-time pipelines. Deep range across energy, microservices, and mission-critical backends.
Kubernetes, observability, and things that catch fire at 2 a.m.
Fifteen years keeping production alive — multi-tenant SaaS on AWS EKS at enterprise scale. Hundreds of Kubernetes clusters, thousands of namespaces, Terraform end-to-end, acquisition onboarding across multiple orgs, and FedRAMP-adjacent hardening. Early adopter of LLM workloads in production — Bedrock, Llama, MCP, and agent harnesses — with the observability stack to know when inference misbehaves at 2 a.m.
Research, reusable scaffolds, and production systems — breadth across sectors, not depth in one niche
Our flagship engagement for policy, risk controls, and governed workflows — before you scale agents or roll out copilots org-wide.
Research → scaffolds → guided walkthroughs → custom builds
Original research, interactive demos, and working prototypes on how information systems think — the foundation behind everything we ship.
Reusable thinking patterns collected across engagements in many industries — a breadth tool for operators who move between sectors, not a peer-reviewed canon.
Structured sessions against the scaffold library — a thinking aid for analysis and planning, not a substitute for judgment or domain expertise.
Architecture, compliance, and production delivery under pressure — including governed AI programs and mission-critical platforms.
Specs → protocol portal → API → fleet integration
Protocol research, interactive benchmarks, and fleet visualizations — understand the wire format before you integrate.
Agent-facing landing — quickstart, live demos, fleet coordination patterns (The Roe), and trial credits.
Validate, compile, and translate intents over HTTP. Pay per call with crypto top-up — no subscription tiers.
We design and deploy multi-agent systems with shared wallets, coordination rules, and production observability.
Bench map: makersconsulting.com#products
Share your goals and constraints — governance, agent platforms, or mission-critical delivery. We’ll propose a crisp first phase, not a generic capabilities deck.