01
AI Workflows
End-to-end AI pipelines wired into the tools you already use — Slack, HubSpot, Sheets, Notion, your warehouse. Built once, runs forever.
- Multi-step pipelines
- LangGraph / LangChain
- Eval + observability
Engagement · 2–6 weeks
Production AI · est. 2024
MAY · 04 · 26
▮ AI workflows · automations · agents · chatbots · local AI
Ship AI thatactually works.
[ /AIflowiz ] We design, build & deploy the AI systems your competitors only post about on LinkedIn — workflows, n8n stacks, agents, chatbots, and local LLMs that move real numbers.
Case · 02:14
Logistics ops · 41h/wk saved
AI Workflows★n8n Automations★OpenAI Agents★Hermes Agents★RAG Pipelines★Custom Chatbots★Local LLM Setup★Voice AI★Document AI★AI Ops & MonitoringAI Workflows★n8n Automations★OpenAI Agents★Hermes Agents★RAG Pipelines★Custom Chatbots★Local LLM Setup★Voice AI★Document AI★AI Ops & Monitoring
▮ 01 — Services
Six things we build.
All of them ship.
Every engagement starts with a 30-minute audit. We say no to ~40% of inbound — only build what we can actually move the needle on.
02
n8n & No-code Automations
Replace that 14-tab manual process. Self-hosted n8n, Make, Zapier — whichever fits your stack and budget. We build it, document it, hand it over.
- Self-hosted n8n
- Webhook orchestration
- Error recovery
Engagement · 2–6 weeks
03
AI Agents — OpenAI & Hermes
Autonomous agents with real tools, real memory, real guardrails. OpenAI Assistants v2, Anthropic Claude, and Hermes-3 for fully open stacks.
- Tool-use & function calling
- Vector + episodic memory
- Cost caps + tracing
Engagement · 2–6 weeks
04
AI Chatbots that convert
Support, sales, and onboarding bots trained on YOUR docs and tone. Embedded on your site, WhatsApp, Telegram, or Intercom — with handoff to humans.
- RAG over your docs
- Multi-channel deploy
- Lead capture + analytics
Engagement · 2–6 weeks
05
Local AI / On-prem LLMs
Your data never leaves the building. We set up Ollama, vLLM, LM Studio — pick the model, size the GPU, fine-tune on your corpus. Zero subscription bleed.
- Ollama / vLLM stack
- Quantized 7B–70B models
- Private RAG + UI
Engagement · 2–6 weeks
06
Custom AI Automation
Got a process nobody else can solve? Voice agents, document parsers, scrapers, AI-powered internal tools. If it can be automated, we'll prove it in 7 days.
- 7-day proof-of-concept
- Production hardening
- Ongoing ops + retraining
Engagement · 2–6 weeks
▮ 02 — Process
Three steps.
Zero theatre.
Most agencies sell you a 14-week discovery. We refuse. The fastest way to learn is to ship something — then keep what works.
0130 min · free
Audit
We map every minute that AI could eat.
On a single call we walk your ops, list candidates, score them by ROI vs build cost, and tell you which ones we'd refuse to build. Honest before pretty.
027 → 28 days
Build
We ship the smallest thing that moves a number.
Sprint zero: pick one workflow. We build, test, eval, and put it in front of a real user inside a week. Then we expand only when metrics agree.
03ongoing
Operate
We babysit the bots so you don't have to.
Observability, eval suites, model swaps when something cheaper drops. Your team stays focused on humans. Your AI keeps earning while you sleep.
◐ guarantee · refund if PoC fails inside 14 days◌ no NDAs to read demos · live calls with engineers
▮ 03 — The cost of waiting
Every quarter you delay,
someone eats your lunch.
We can't make this nicer. The teams pulling ahead in 2026 are the ones who already let AI do their boring work in 2024. The math on the right is what staying still actually costs.
1,920 hrs/yr
manual ops time bleed (avg. 5-person team)
$84,000+
burned on tools nobody fully uses
−23%
margin loss vs AI-native competitors (McKinsey, 2025)
▮ 04 — Why teams pick us
Engineers who finish.
No drama, no ghosting.
★ ★ ★ ★ ★ 5.0
47 shipped projects · 0 churn
- Code you own — repos transferred on day 1
- Plain-English docs, not vendor lock-in
- Eval suite for every prompt we ship
- On-call engineer for first 30 days
SOC2 partnersEU + US data residency
▮ 05 — Stack
We're fluent in the
whole AI alphabet.
Pick the right tool for the job — not the one a vendor is paying us to push. We're framework-agnostic by design.
Models06
- OpenAI GPT-5.5
- Claude Opus 4.7
- DeepSeek V4
- Llama 4
- Mistral Medium 3.5
- Qwen 3.6
Agents & RAG06
- OpenClaw
- Hermes
- LangGraph
- LangChain
- Pinecone
- pgvector
Automation06
- n8n
- Zapier
- Make
- Temporal
- Inngest
- Trigger.dev
Local / On-prem06
- Ollama
- vLLM
- LM Studio
- librechat
- Open WebUI
- AnythingLLM
▮ 06 — Receipts
Quiet builds.
Loud results.
01 / 03
“AIflowiz replaced two ops hires we were about to make. Their n8n + Hermes setup runs our entire intake — quietly, every minute, no babysitting.
Maya O.
COO, FinScope (B2B SaaS · 38 ppl)
02 / 03
“We tried three other agencies. They wanted retainers and slide decks. AIflowiz built a working agent in 9 days and refused payment until it shipped.
Jonas R.
Founder, Veldt Logistics
03 / 03
“The local AI build was the difference between us being able to use AI on patient data — or not at all. They knew exactly what GPU to buy. Zero hand-waving.
Dr. Aiyana K.
Director, Northwell Care Lab
▮ 07 — FAQ
Things people ask
before signing.
Got something not in here? Email [email protected] — we reply within 4 hours on weekdays.
01How fast can we see something working?
Audit on day 0. Shipping a usable v1 inside 7–14 days for 80% of engagements. We refuse work that needs longer than 8 weeks for v1 — those projects fail.
02What does it cost?
PoC: $4k–$12k. Production builds: $10k–$60k depending on integrations. Local-AI infra: hardware at cost + flat install fee. We quote fixed price, not hours.
03Do you sign NDAs?
Yes, mutual NDA at the audit stage if needed. We never sign one-way NDAs that gag us from talking about generic patterns we use across clients.
04Will I be locked into your tooling?
No. Code lives in your GitHub. Servers run in your cloud. Models you choose. We hand off documentation a junior engineer can read on day one.
05What if the AI gets it wrong?
Every shipped agent has an eval suite, confidence thresholds, and human-in-the-loop fallbacks. We cap risk before we cap cost — and yes, we've refunded.
06Do you do hourly or retainers?
Retainers only after a project ships and you want ongoing ops. We don't bill hourly — that aligns nobody's incentives with shipping.
▮ Last stop
30 minutes.
No slides.
One question: build it?
Book a free 30-minute audit. We'll walk your ops, find the top three AI candidates by ROI, and tell you (honestly) if any of them are worth building. If yes — we can start in 5 working days.
47projects shipped
0client churn this year
9dmedian time to first ship
100%code & weights you own