Home›Services›AI Automation
Custom N8N + Claude Workflows · Built on Your Stack

AI Automation Agency That Builds Custom Workflows on Your Stack

We build custom N8N, Zapier, and Make automations powered by Claude, OpenAI, and Gemini that plug into the tools your team already uses. Lead routing, content pipelines, reporting, RevOps, and CRM enrichment. Shipped to your production environment in 30 to 60 days.

See sample workflow deliverables →
40+Workflows Shipped
18Native Integrations
30–60Day Delivery
100%Runs On Your Stack
Step 1 of 2
Please use your company email — freemium domains are not accepted.
We build on: N8N Zapier Make Claude OpenAI Gemini Supabase HubSpot Salesforce Slack
Quick Answer
What does an AI automation agency actually do?

An AI automation agency designs, builds, and operates custom workflows that connect your existing tools (CRM, marketing platform, data warehouse, Slack, docs) to large language models and third-party APIs. The deliverables are running production automations that route leads, enrich CRM records, generate reports, triage support tickets, and run content pipelines without human intervention. Our team ships on N8N, Zapier, and Make with Claude and OpenAI as the reasoning layer, hosted on your infrastructure so you own the workflows outright.

Instant Proof

40+ workflows in production across B2B accounts.

Aggregate stats from AI automation builds our team has shipped for B2B SaaS, agency, and services clients over the trailing 12 months.

40+

Custom workflows shipped to production

22 hrs

Median team hours saved per workflow, per week

30–60

Days from scoping call to production go-live

87%

of clients extend the initial build with a second workflow

“

Our team was drowning in manual lead routing. MV3 shipped a Claude-powered N8N workflow in 6 weeks that enriched, scored, and routed every inbound lead in under 90 seconds. Our SDRs got 18 hours back per week.

DM
Dana
VP RevOps at a Series C B2B SaaS platform

Composite illustration. Company name held under NDA. Metrics verified against client HubSpot + Slack timestamps.

The Complete Build Package

What ships when you engage our automation team.

Fixed-scope builds. Fixed price. Every deliverable ships to your environment with source code, documentation, and 30 days of post-launch monitoring.

Discovery + workflow scoping session (2 hrs) $1,497
Solution architecture doc + integration map $1,997
N8N (or Zapier/Make) build on your infrastructure $4,997
Claude / OpenAI prompt engineering + eval harness $2,497
Native integrations (HubSpot, Slack, Notion, GSheets, etc.) $1,997
Error handling, retries, and monitoring dashboards $1,497
Handoff documentation + Loom walkthrough library $997
30-day post-launch tuning + monitoring $1,497
Retail value if purchased individually $16,976
Single-workflow build, from $5,997/mo

Bundled inside Growth AI ($5,997/mo). Multi-workflow programs run under Scale AI ($9,997/mo) or Enterprise.

What You Actually Get

Production automations. Not slide decks.

Six concrete deliverables ship on every AI automation engagement. You keep the source code, the docs, and the runtime.

01
Live N8N Workflow on Your Infrastructure

A fully wired N8N (or Zapier/Make) workflow deployed to your self-hosted instance or a dedicated cloud tenant. Full ownership. No vendor lock-in on our runtime.

02
Claude + OpenAI Prompt Pack

Every LLM call versioned in a prompt library. Eval harness runs regression tests against a golden dataset so prompt updates never regress live behavior.

03
Native Integration Layer

Auth, webhooks, and error handling wired to HubSpot, Salesforce, Slack, Notion, Snowflake, BigQuery, Postgres, Airtable, Google Sheets, and 200+ APIs via N8N nodes.

04
Monitoring + Alerting Dashboard

A Grafana or Supabase dashboard showing workflow throughput, error rate, LLM cost per run, and SLA compliance. Slack alerts route to your on-call channel.

05
Handoff Documentation

A README, an architecture diagram, a Loom walkthrough, and a runbook. Any engineer on your team can pick up the workflow after our team hands off.

06
30-Day Post-Launch Tuning

After go-live we monitor, fix, and tune the workflow for 30 days. Prompt tightening, error triage, edge-case coverage. Included in the build fee.

Strategy + Implementation

We design the automation. Then we build and operate it.

Consulting-only automation shops hand you a slide deck. Dev-shop-only teams build without a strategic thesis. MV3 does both: a scoped solution architecture paired with the engineering team that ships and operates the workflow on your stack.

Strategy: The Architecture

Which workflow, on which stack, at what ROI.

Before we write a single node, our automation lead scopes the workflow against your existing tools, team capacity, and business value. You get a defensible thesis and a fixed price before you sign.

  • 1Use-case scoping: which team-hour drain is worth automating first.
  • 2Integration map: every tool, API, auth pattern, and data flow diagrammed.
  • 3Model selection: Claude, OpenAI, or Gemini, chosen against your privacy and cost constraints.
  • 4ROI model: hours saved, cost per run, and payback period, calculated before we build.
  • 5Delivered as a fixed-scope SOW plus a Notion architecture doc.
Implementation: The Build

Our team ships the workflow to your production environment.

Once the SOW is signed our automation engineers build, test, and deploy the workflow inside your infrastructure. You own the code and the runtime. We tune it for 30 days after go-live.

  • 1N8N or Zapier or Make workflow built and version-controlled in git.
  • 2Prompt engineering + eval harness so LLM calls stay on spec.
  • 3Auth, error handling, retries, and idempotency wired into every node.
  • 4Monitoring dashboard + Slack alerts routed to your team.
  • 5Handoff to your engineering team with docs, Looms, and a runbook.
Our Guarantees

Three guarantees on every build engagement.

If we miss any of them, you pay nothing for that build cycle. Written into every SOW.

Fixed Scope, Fixed Price

Every workflow ships against a signed SOW with fixed scope and fixed price. If our team needs more hours than scoped, we absorb the cost. Not you.

You Own The Code

The workflow deploys to your infrastructure. You own the source, the prompts, and the runtime. No vendor lock-in. If you ever fire us, the workflow keeps running.

On-Time Delivery

Every SOW ships against a documented go-live date. Miss the date and the next month of monitoring is free. First slippage in 40+ builds triggers a full retro.

Sample Deliverables

What real automation deliverables look like.

Sanitized artifacts from live builds. Every element you see below ships to your team on day one of the engagement.

Deliverable 01

The workflow diagram

An end-to-end diagram of every node, integration, and decision branch in the workflow. You approve this before we build. Every node in the live workflow maps to a step in the diagram, one to one.

  • Every trigger, node, and branch mapped visually
  • Integration points annotated with auth pattern and rate limits
  • LLM calls flagged with prompt version and model choice
  • Error paths and retry logic diagrammed explicitly
  • Signed off by your engineering lead before build starts
Lead Router N8N Workflow v2.3
01 Webhook: HubSpot new lead
02 Enrichment: Apollo API
03 LLM: Claude Sonnet classifier
04 Branch: score > 70?
05 Slack DM to AE (hot)
06 HubSpot: nurture list (warm)
Median run time: 78s · success rate 99.4% across trailing 30 days.
Deliverable 02

Monitoring dashboard

A live Grafana or Supabase dashboard that shows every metric your team needs to trust the workflow: throughput, error rate, LLM cost per run, and SLA compliance.

Runs / day
412
Success rate %
99
Median run time (s)
78
LLM cost / run ($)
6
Retries fired
3
SLA breaches
0
Deliverable 03

Prompt library + eval harness

Every Claude / OpenAI / Gemini call is versioned and regression-tested against a golden dataset. Prompt updates get graded before they ship to live workflows.

lead-classifier v1.4 98% pass
content-outline v2.1 95% pass
ticket-triage v3.0 89% pass
crm-enrichment v1.7 100% pass
sales-summary v2.3 92% pass
content-outline v2.2 (staging) fails 3 of 40
Integration Map: Tools × Workflow Nodes
HubSpot
Slack
Claude API
Notion
Snowflake
Ingest Enrich Score Route Notify
Blue = tool active at that node. Every touchpoint documented in the SOW.
Deliverable 04

Integration map

Every tool your workflow talks to, at every step. Auth pattern, rate limits, and rollback strategy documented so your engineering team can audit and extend the workflow independently.

Why this matters:

A workflow with 8 integrations and no map is a workflow nobody owns. The integration map is the artifact your engineering team uses when they inherit the workflow, when a vendor deprecates an endpoint, or when your CRO asks what data flows where.

Deliverable 05

Handoff runbook and Loom library

A written runbook, an architecture diagram, and a Loom walkthrough for every workflow node. Any engineer on your team can extend or debug the workflow after handoff without a call to us.

Book my scoping call →
README Setup, env vars, secrets, deploy steps
Architecture Full diagram + integration map (PDF)
Prompt Library Every LLM call versioned + graded
Loom Walkthroughs Node-by-node video handoff library
Runbook Common failures + fix steps + escalation
Methodology

How we build every AI automation.

Five stages. Same protocol every engagement. Reproducible so your team can audit any decision, at any node, at any time.

01
Scope

Use-case, integrations, and success metrics locked with your team in a 2-hour scoping call. Fixed SOW ships in 3 business days.

02
Architect

Solution diagram, integration map, prompt-spec draft, and eval-harness plan signed off by your engineering lead.

03
Build

N8N (or Zapier/Make) workflow assembled and version-controlled in git. LLM prompts stored and versioned in the eval harness.

04
Test

Every node runs against a golden dataset. Regression suite gates every prompt change. Load test to 10x expected volume.

05
Ship + Tune

Workflow deploys to your infrastructure. Our team monitors and tunes for 30 days. Handoff docs and Looms delivered.

Composite Outcomes

What clients report after the workflow goes live.

Outcomes reported by AI Automation clients in the 90 days post go-live. Company identities are protected under NDA. Personas are composite illustrations of role, stage, and category.

“

Our RevOps team recovered 22 hours a week after MV3 shipped the lead-routing workflow. Every inbound gets enriched, scored, and dropped in the right AE inbox in under 90 seconds.

DM
Dana
VP RevOps at a Series C B2B SaaS platform
“

Our content pipeline went from 4 posts a month to 18 posts a month with no additional headcount. The N8N build handles briefing, draft, editorial pass, and CMS publish end-to-end.

PS
Priya
Head of Content at a PLG DevTools company
“

MV3 replaced 3 SaaS tools we were paying for with a single Claude-powered N8N workflow. Annual savings paid the build back inside 4 months. Our engineering team owns the code outright.

MB
Marcus
Head of Growth at an enterprise SaaS platform

Company names withheld under NDA. Metrics verified against client HubSpot, Slack, or CMS timestamps. Initials avatars used because per-NDA no client likeness is displayed.

What AI Automation Builds Typically Uncover

Aggregate findings from 40+ production builds.

Data pulled from MV3’s AI automation portfolio, trailing 12 months. No client identities.

3.2x

Median team-hour recovery multiple vs. build cost, year 1

62%

of workflows replace 2 or more paid SaaS tools

<90s

Median end-to-end workflow run time across the portfolio

99.1%

Median success rate across trailing-30-day workflow runs

Individual results vary by workflow complexity, integration depth, and existing tooling.

AI Automation Programs
from $5,997/mo

One workflow, Growth AI tier. Multi-workflow programs run under Scale AI ($9,997/mo) or Enterprise.

  • Custom N8N (or Zapier/Make) workflow, deployed on your infrastructure
  • Claude, OpenAI, or Gemini reasoning layer, versioned in the eval harness
  • Native integrations to HubSpot, Salesforce, Slack, Notion, and 200+ APIs
  • Monitoring dashboard + Slack alerts routed to your on-call channel
  • Handoff runbook, Loom walkthroughs, and architecture diagram
  • 30-day post-launch tuning and monitoring included
Everything Included, At Retail
Discovery + workflow scoping (2 hrs)$1,497
Solution architecture + integration map$1,997
N8N (or Zapier/Make) build on your stack$4,997
Claude / OpenAI prompt library + eval harness$2,497
Monitoring dashboards + Slack alerting$1,497
Handoff runbook + Loom walkthrough library$997
30-day post-launch tuning + monitoring$1,497
Retail value if purchased individually$14,979
Your price at Growth AI$5,997/mo
Book my scoping call →

Free scoping call. Fixed SOW inside 3 business days. No payment until you sign.

Qualification

This is not for you if…

We hold a hard fit bar on AI automation engagements. If any of the below is true, we’re not the right vendor, and we’ll say so on the scoping call.

  • You want a $99/month AI chatbot. Our builds are custom production workflows with real integrations, versioned prompts, and monitoring. If a plug-and-play SaaS chatbot solves your problem, buy that.
  • You need it live next week. Real builds ship in 30 to 60 days. Rushed automations skip prompt validation and error-path testing, then fail in production.
  • You want us to run your automation forever. Every build ships to your infrastructure with full source and docs. If you want ongoing operations we do that too, but the workflow is yours to keep.
  • You have no defined use case. We need a concrete workflow to scope. If you want an AI strategy consult before you know what to automate, start with the GEO Audit or an AI readiness assessment instead.
  • Your data lives in unstructured chaos. AI workflows compound value on top of good data. If your CRM is 40% junk records and your tools do not talk to each other, we recommend a data hygiene sprint first.

If you’re a fit, keep scrolling. Or book the scoping call now →

Frequently Asked

Questions buyers ask us.

What does an AI automation agency actually build?
Custom production workflows that connect your existing tools (CRM, marketing platform, data warehouse, Slack) to large language models and third-party APIs. Deliverables include lead routing, CRM enrichment, content pipelines, RevOps reporting, support triage, and internal AI agents. Every build ships to your infrastructure with source code, docs, and monitoring.
How is this different from Zapier or Make on their own?
Zapier and Make are excellent execution runtimes and we often build on both. The difference is architecture, prompt engineering, eval harnessing, error handling, and monitoring. A raw Zap without regression tests, without an eval harness, and without a runbook is a workflow nobody trusts. Our team ships the full stack around the runtime.
Do you build on N8N or Zapier or Make?
All three. N8N when you want self-hosted control, git-versioned workflows, and full data ownership. Zapier when your team is already on it and you want low-code speed. Make when you need visual complexity handled cleanly. We pick the runtime that fits your stack, not ours.
How much does an AI automation build cost?
Single-workflow builds bundle into Growth AI at $5,997/month. Multi-workflow programs run under Scale AI at $9,997/month. Custom N8N teams for enterprise start at $15,000/month. Every SOW is fixed scope, fixed price. Scoping call is free.
How long does a build take?
30 to 60 days from signed SOW to production go-live. Scoping and architecture sign-off happen in the first 5 to 10 days. Build and test run over the next 20 to 40 days. Post-launch monitoring runs for 30 days after go-live.
Do you use Claude, OpenAI, or Gemini?
All three. We pick the model per workflow based on privacy constraints (Claude for regulated data, OpenAI for lowest cost per run, Gemini for long-context reasoning). Model choice is documented in the architecture doc and can be changed post-launch without a rebuild.
What happens if the workflow breaks after launch?
Every workflow ships with monitoring, Slack alerts, and a runbook. During the 30-day post-launch window our team fixes and tunes on our dime. After that you can extend to a managed retainer, or your engineering team owns the workflow outright with full docs.
Who owns the code and the runtime?
You. Every workflow deploys to your infrastructure (self-hosted N8N, your Zapier account, or your Make workspace). You own the source, the prompts, the runtime, and the data. No vendor lock-in on our platform because there is no MV3 platform.
Program Lead
Vance Moore

Vance oversees the MV3 team; every engagement is delivered by the team, and Vance signs off on every deliverable.

4 build slots opening next quarter

Get the workflow off your team’s desk. For good.

Free scoping call. Fixed SOW in 3 business days. Production go-live in 30 to 60. Your team owns the runtime.

Book my scoping call →