Workflow automation
The plumbing that runs itself. Inboxes, spreadsheets, and handoffs become a single pipeline. Hours back per week, every week.
Avg deploy 4 weeksHours saved 18-32 / wk→
CUSTOM AUTOMATION & AI · 2026
LEADING
SCROLL
LEADING
CLICK
AUTOMATION TO KEEP UP. AI TO GET AHEAD.
§ 01 · THE SHIFT
THE AI AGE.
AI and automation is here to stay. Businesses that adapt quickly will outrun the ones that don't. The math has already changed. Three rules describe how the next eighteen months will play out for SMBs.
RULE 01 · AUTOMATION
EVERY SMB WILL BE PARTLY AUTOMATED
The question stopped being whether. It is just how fast. The shop still running on spreadsheets and inboxes in eighteen months will be left behind. We build the bones: workflow automation, voice agents, lead routing, back-office plumbing. Production-grade from week one.
RULE 02 · LOCAL AI
LOCAL AI IS NO LONGER OPTIONAL
The data you cannot send to a third party (patient files, contracts, financials, customer records) is the data most worth running models on. On-premise inference is a moat. SaaS LLMs are a leak. Llama, Mistral, Qwen, served on your hardware. Your data never leaves the building.
RULE 03 · OWNERSHIP
OWN YOUR SYSTEM, NOT A SUBSCRIPTION
Most automation tools rent you software you will never own. We build systems that live on your infrastructure, run on your data, and answer to you. When your business grows, your per-seat fees do not. When the vendor pivots, your operation does not move with them. You bought a result, not a recurring liability.
WHAT WE BUILD
Production systems, not prototypes. Eight builds in heavy use across our clients today.
AI Receptionists
Voice agents that answer, qualify, and book. 24-hour coverage at a fraction of a head count.
24/7→
Local Copilots
Domain-tuned LLMs running on your iron. A research partner that already knows the playbook.
Zero egress→
Private RAG
Your documents, made retrievable. Citations, permissions, full audit trail.
Vector + hybrid→
Document Engines
Contracts, claims, intake forms. Read, route, file, summarize. Stop losing hours in a PDF tab.
OCR + LLM→
On-prem inference
The full stack on your iron: GPU, container, model, monitoring, runbook. Zero data egress, by design. The moat is in the wiring.
Stack CUDA + vLLMEgress Zero→
Quote Bots
Inbound lead, structured questions, bid out the door. Faster than a human, more consistent than a template.
SLA < 90s→
Lead Routers
The right rep, the right context, in seconds. Voice, SMS, email. Your CRM stays in sync.
Multi-channel→
Knowledge Brains
The institutional memory you never wrote down, made queryable. Onboarding speeds up. Key-person risk goes down.
Searchable + cited→
INDUSTRIES
HOME SERVICES·
MEDICAL BILLING·
LEGAL PRACTICES·
AUTO REPAIR·
REAL ESTATE·
PEST CONTROL·
PROPERTY MGMT·
HEALTHCARE·
CONSTRUCTION·
INSURANCE·
DENTAL·
VETERINARY·
PROCESS
From spec to self-running. Two to six weeks, end to end.
STEP 01 · DISCOVERY · DAY 1-3
MAP THE WORKFLOW
A single ninety-minute working session. We map the workflow, the bottlenecks, and the data. You leave with a written plan and a fixed quote, even if you do not hire us.
STEP 02 · BUILD · WEEK 1-4
PROTOTYPE ON YOUR REAL DATA
We build on your real systems, your real data. You see the build come alive. No month-long radio silence followed by a reveal that misses the mark.
STEP 03 · DEPLOY · WEEK 4-6
SHIP TO PRODUCTION
Containerized, monitored, pushed into your environment, cloud or on-prem. We hand over the keys, the docs, and the repo. Not a login to our dashboard.
STEP 04 · MAINTAIN · MONTHLY
KEEP IT EVOLVING
A monthly retainer that keeps your stack tuned, monitored, and evolving. Included with every engagement. We patch what breaks, optimize what is slow, and ship the next automation when you are ready.
STACK
LLAMA·
MISTRAL·
QWEN·
OLLAMA·
vLLM·
CLAUDE·
POSTGRES·
pgvector·
DOCKER·
VAPI·
TWILIO·
n8n·
NVIDIA·
BLACKWELL·
§ 04 · QUESTIONS
SHORT
SHORT
ANSWERS.
Should I wait a few months before starting?
Waiting does not change the math. It just pushes your deployment out. Discovery to live is two to six weeks regardless of when you start, so a six-month wait means six extra months running the old way. Starting now is always the move.
Cloud or local: which do I need?
Cloud is cheaper and faster to deploy. That is the default. If your data is sensitive (regulated, proprietary, customer-identifying), local is also an option. We pick per package, not per company.
How long does a project take?
Two to six weeks for the average build. Discovery in days. Build in weeks. Deploy when it actually works, not when the contract says it should. Most packages are live before the second invoice cycle.
Do I own everything?
Yes. Full repo, full deployment, full credentials, full model weights where applicable. We hand the keys over on day one of deploy. We do not lock you into a platform we charge rent on. That is the model we are trying to put out of business.
What does it cost?
Most engagements land between $8k and $40k depending on scope and whether the deploy is cloud, hybrid, or fully on-prem. We give a fixed quote in writing after Discovery. No hourly surprises, no scope creep tax.
What if it breaks at 2am?
Every build ships with logging, alerting, and a runbook. Your monthly maintenance retainer covers on-call response. Most issues get patched before you notice. Production-grade should mean production-grade.
§ 05 · BOOK THE CALL
TAKE YOUR
TAKE YOUR
BUSINESS TO
THE NEXT LEVEL.
Book a thirty-minute discovery call. Bring the bottleneck. Leave with a fixed quote and a two-week kickoff date.
§ 06 · WRITING
VIEW ALL
FIELD NOTES.
Local AI vs cloud AI: when each one earns its keep
The honest tradeoffs between hosting your own models and renting tokens, with the cost crossover most teams miss.
COMING SOON
The five workflows every SMB should automate first
A practical priority list for owners who don't have time to research, ranked by hours saved per dollar spent.
COMING SOON
Custom systems vs SaaS: the real cost over five years
Why per-seat pricing eats your margin alive at scale, and when buying off-the-shelf still beats building.
COMING SOON