[01]
Workflow agents
Triage incoming work, route it, and take action across your systems. Quoting, intake, follow-ups, back-office chores.
AI SYSTEMS INTEGRATION
Senior-level AI integration for businesses. We study how your operation really works, find where AI creates real leverage, then deliver it as autonomous agents, custom applications, or both. Backed by 20+ years of infrastructure experience.
0+
Yrs infra experience
1-3
Wks to first working build
0%
Private inference
0
Vendor lock-in
A chatbot talks. An agent acts. We build agents that read incoming work, decide what it is, pull the right data from your systems, take the next step, and hand off to a person when judgment is needed. Every action is permissioned, logged and reviewable.
[01]
Triage incoming work, route it, and take action across your systems. Quoting, intake, follow-ups, back-office chores.
[02]
Answer from your own documents, SOPs and records, with sources. Retrieval tuned to your data, not generic chat.
[03]
Answer and route calls, capture intake, hand off to a human when it matters. Built on private voice infrastructure.
[04]
An orchestrator delegates to specialist agents, each with its own tools and limits. We run our own roster daily: an orchestrating chief of staff over specialists for coding, DevOps, QA, security, docs, quoting and finance.
BUILT FOR PRODUCTION, NOT DEMOS
Some workflows need a custom application. Some need an agent. Many need both. Choosing correctly is most of the value.
When the process is structured and repeatable. You get a fast, purpose-built web app or dashboard that replaces spreadsheets and manual steps.
Best for: forms, dashboards, portals, e-commerce, internal tools.
The app is the interface and system of record. Agents are the workers behind it. This is where the biggest efficiency gains usually are.
Best for: end-to-end workflows with humans in the loop.
When the work is unstructured or needs judgment. The agent reads, decides, and acts across the systems you already use.
Best for: triage, extraction, drafting, scheduling, research, follow-up.
And sometimes the right answer is: don't use AI here. We will tell you.
Purpose-built interfaces, portals and operational tools.
Custom storefronts, ordering and fulfillment workflows.
Networks, servers and deployment foundations that stay reliable.
We sit with your team and map the real workflows: who does what, in which systems, where work waits, where data gets retyped.
You get: a workflow map and a system and data inventory.
We rank opportunities by hours saved, risk and effort, and decide for each one: custom app, agent, hybrid, or no AI at all.
You get: a prioritized opportunity list with a clear first build.
We ship a working pilot on one workflow, fast, with approval gates and logging from day one. Then we expand.
You get: a live pilot in 1-3 weeks, running on your real data.
We track before and after: time per task, error rate, throughput. We tune, then compound the gains into the next workflow.
You get: numbers you can take to your leadership team.
You do not think in industries, you think in bottlenecks. Here is where we usually find the fastest wins.
Reads invoices, forms, emails and PDFs and pushes clean structured data into your systems.
Typical deliverable: extraction pipeline with a human review queue for low-confidence items.
Most AI integrators resell someone else's API. We operate a self-hosted GPU inference stack, so your documents and records can be processed on private infrastructure instead of being sent to third-party model APIs. One gateway handles routing, fallbacks, logging and access control across every model we use.
~0
tokens / second (raw)
0%
private inference
GPU
accelerated inference
Routing, fallbacks, rate limits, 2FA and audit logging in one place.
Traditional agencies quote 3-6 months and $50k before anything runs. We ship a working pilot on your real workflow in 1-3 weeks. The difference is focus, tooling, and 20 years of knowing what actually matters.
Traditional Agency
Week 1-2: Discovery calls
Week 3-4: Proposal rounds
Month 2: Design comps
Month 3: Dev begins
Month 5: "Beta" delivered
Month 6: Revisions
$30k-$80k
Skynet Consulting
Day 1-2: Discovery session + workflow map
Day 3-5: Opportunity ranking + pilot scoped
Week 1-2: Working pilot on one workflow
Week 3: Live with approval gates and logging
Week 4+: Measure, tune, expand
A fraction of the cost
3-7 days
typical MVP sprint
~10x
cost vs. traditional dev shop
0
vendor lock-in
We build and run our own AI systems and platforms, and we deliver integrations inside client businesses. Most client work ships under NDA.

PRIVATE MODELS / GATEWAY / GPU
Self-hosted private AI stack on dedicated GPU infrastructure with one API-compatible gateway for model routing and fallbacks.
AI / SMS / AUTOMATION
AI-powered SMS platform.
An orchestrating chief of staff over specialist agents for coding, DevOps, QA, security, documentation, quoting and finance. Run on a self-hosted agent runtime with shared memory.
AI layer connected directly to an on-premise ERP/CRM. On-prem middleware, security hardening, implementation and user training in a 30-day phase one.
Client portal with AI session prep, retrieval over practice materials, safety classification and phone access.
Self-hosted MCP server connecting accounting software to agents, built to avoid third-party credential custody.

REALTIME / PWA / ALERTING
Live county 911 audio, real-time department paging, saved call history, and an installable mobile PWA for the field.

ACCOUNTING / SAAS / DATA
Self-hosted accounting SaaS with durable data and object storage.

MULTI-USER / EVENTS / SAAS
Crowd-sourced photo sharing platform. Multi-user, event-driven architecture.

MARKETPLACE / STOREFRONTS / LOCAL
Hyper-local marketplace with free storefronts for rural businesses.

SAAS / SUBSCRIPTIONS / AUTH
SaaS platform for financial alert delivery. Subscription and user auth.

E-COMMERCE / ORDERS / INVENTORY
Custom e-commerce for direct seafood sales. Order and inventory flow.
These are just the public ones. Most client work ships under NDA.
Book a Discovery Call ->01.
We learn your workflows before we write a line of code. Twenty years of systems administration means we see the whole stack: the app, the network, the servers, the data, and the people using it.
02.
Knowing when to use an agent, when a plain app beats it, and when AI is not the answer is the job. We build guardrails in from day one: approval gates, permissions, audit logs.
03.
A working pilot in weeks, running on your real data, with before and after numbers. No six-month timelines, no slide decks standing in for software.
A chatbot answers questions. An agent takes actions: it reads incoming work, decides what it is, uses tools to pull data or update your systems, and escalates to a person when judgment is needed. Every action is permissioned and logged.
Tell us which workflow is costing you the most time. We will tell you whether AI fits, what a first build looks like, and how fast we can ship it.