n8n Workflows, RAG Agents & Voice AI

AI Automation & Custom Agent Development.

Production n8n pipelines, RAG-grounded support assistants, and sub-30-second CRM lead qualification wired directly into your stack.

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Why generic chatbots fail.

Off-the-shelf AI widgets don't know your products, your policies, or your customers — so they hallucinate answers or punt everything to a human anyway. We train assistants directly on your business knowledge, so they actually resolve things instead of just deflecting them.

What we build.

Custom ChatGPT for Business Trained Assistants
AI Customer Support Automation Web / WhatsApp / DMs
AI Voice Agents Call Answering
Workflow & Process Automation CRM / Email / Ops
Lead Qualification & Sales Automation Auto-Booking
Internal Knowledge Copilot Slack / Teams
24/7 Autonomous Execution

AI agents grounded in your docs, wired into your CRM.

Our RAG assistants and n8n pipelines qualify inbound leads in under 30 seconds, resolve repetitive support tickets with cited answers, and sync clean data to HubSpot, Salesforce, or Slack.

<30s Lead Routing Zero Hallucination Guardrails n8n + Custom LLM APIs
Autonomous Operations & Applied AI

Production AI agents and n8n pipelines wired directly into your stack.

We do not ship brittle prompt wrappers. We engineer deterministic n8n workflows, RAG-grounded assistants, and CRM automations with strict guardrails, cost caps, and full observability.

What We Deliver Inside This Capability

Sub-Capabilities & Specialist Deliverables

4 core pillars, 16 concrete deliverables — engineered as one cohesive system.

01 / 04
PILLAR 01 / 04 WORKFLOW ORCHESTRATION

n8n & Custom API Automation Pipelines

Eliminate manual copy-pasting and human handoff delays across your sales, finance, and operations stack.

01

Self-Hosted & Cloud n8n Architectures

Multi-step webhook workflows with dead-letter queues, retry logic, and zero per-task Zapier tax.

02

Automated Lead Enrichment & Scoring

Instant company/contact enrichment, AI qualification scoring, and sub-30-second CRM routing.

03

Document, Invoice & PDF Extraction

Vision-LLM pipelines that parse contracts, receipts, and forms directly into PostgreSQL or ERP.

04

Cross-Platform Bi-Directional Sync

Real-time synchronization across HubSpot, Salesforce, Slack, Notion, Jira, and custom databases.

PILLAR 02 / 04 RAG & KNOWLEDGE AGENTS

Custom-Trained RAG Assistants & Copilots

AI assistants grounded strictly in your private documentation, SOPs, and product catalog — zero hallucinations.

01

Vector Database & Chunking Pipelines

Automated ingestion of Notion, Google Drive, PDFs, and SQL into isolated pgvector / Pinecone stores.

02

Customer Support Resolution Agents

24/7 web, WhatsApp, and Intercom agents that check order status, process returns, and escalate cleanly.

03

Internal Slack & Teams Knowledge Copilots

Instant cited answers for sales reps and engineers querying internal playbooks and technical docs.

04

Hallucination Guardrails & Confidence Thresholds

Strict citation enforcement that hands off to a human when confidence drops below threshold.

PILLAR 03 / 04 VOICE & SALES AI

AI Voice Agents & Outbound/Inbound Sales Ops

Respond to every inbound call and web enquiry in seconds, qualify intent, and book meetings directly onto your calendar.

01

Low-Latency Inbound AI Voice Receptionists

Natural-sounding voice agents that answer calls 24/7, qualify leads, and book Cal.com / Calendly slots.

02

Autonomous CRM Follow-Up Sequences

Context-aware email and WhatsApp follow-ups triggered by prospect behavior and deal stage.

03

Sales Call Transcription & Action Extraction

Automatic call summaries, objection tagging, and CRM field updates immediately after every meeting.

04

Custom Proposal & Deck Generation

Automated generation of tailored scope briefs and pricing decks from discovery notes.

PILLAR 04 / 04 GOVERNANCE & TELEMETRY

AI Observability, Cost Control & Security

Own your AI infrastructure with complete visibility into every prompt, token cost, latency metric, and data boundary.

01

Prompt & Execution Trace Dashboards

Full logging of inputs, retrieved context, model outputs, and latency for every agent run.

02

Per-Workflow Token Budgets & Rate Limits

Hard cost ceilings, model fallback routing (GPT / Claude / Gemini), and loop prevention.

03

Zero-Training Data Privacy Isolation

Enterprise API configurations ensuring your proprietary data never trains public foundation models.

04

Runbooks, Loom Walkthroughs & Team Training

Complete documentation and live workshops so your internal team can operate and extend every workflow.

How We Work

6-Stage Delivery Architecture

Transparent two-week sprints, measurable checkpoints, and direct access to the engineers and strategists doing the work.

STAGE 01 1 / 6

Workflow & Bottleneck Mapping

We audit your repetitive manual tasks, support ticket logs, and CRM handoffs to calculate exact hours and cost saved per automation.

STAGE 02 2 / 6

Data Security & API Audit

We map the documents, databases, and webhooks required and design isolated access patterns with strict guardrails.

STAGE 03 3 / 6

Week-One Working Prototype

Before building the full system, we pipe a working prototype using your real business data into Slack so you can verify accuracy.

STAGE 04 4 / 6

n8n & Agent Production Build

We engineer the production workflows, vector pipelines, retry handlers, and fallback paths in n8n, Python, or TypeScript.

STAGE 05 5 / 6

Adversarial & Edge-Case QA

We stress-test prompts against prompt-injection, malformed webhooks, API timeouts, and low-confidence edge cases.

STAGE 06 6 / 6

Live Deployment & 60-Day Tuning

We launch with live observability dashboards, deliver Loom runbooks, and tune accuracy over 60 days of real production traffic.

Who it's for

You should hire us if…

  • You're drowning in support tickets that are 80% repetitive — "where's my order", password resets, refund questions.
  • Your sales team spends more hours on lead research and CRM data entry than on actual selling.
  • You have workflows that still live in a Google Sheet because no SaaS fits — invoice extraction, PDF classification, data syncing between systems.
  • You tried n8n or Zapier internally and hit the limits. Too complex to maintain, breaks on edge cases, needs the person who built it to touch anything.
  • You need to put AI in front of customers without the hallucination risk — RAG grounded in your actual docs, with guardrails and escalation paths.
What ships

What an AI engagement includes.

Every automation we build carries the same baseline. The complexity scales up from here; the fundamentals do not.

Discovery session.
Map your workflows, decide where AI earns its keep vs where it adds risk.
Data audit.
What documents, systems, and APIs the agent needs access to — and the access pattern that keeps you safe.
Prototype in week one.
Real output on your real data, piped to Slack or email for you to inspect before we commit to the full build.
Production build.
n8n for about 70% of jobs, custom Python or TypeScript when the logic demands it. Chosen based on your team's maintenance appetite.
Integration layer.
Connections to your CRM, helpdesk, calendar, and databases — API-first, versioned, with retry and dead-letter handling.
Guardrails.
Hallucination filters, cost caps per workflow, human escalation when the model's confidence drops below threshold.
Observability dashboard.
Every call, cost, and failure in one place. An AI agent you can't inspect is a liability.
60-day optimization window.
Loom walkthrough plus written runbook per workflow, then two months of tuning as real traffic hits production.
Our approach

What we won't build.

AI is new enough that most agencies are selling it like it's magic. Our rules exist because we've already watched clients burn money on the magical version.

  • No "AI will do everything" fantasies. We find the specific workflow where AI saves hours and build it well, not an everything-chatbot that half-works at every job.
  • No bare GPT wrappers sold as custom builds. If an existing SaaS does 80% of what you need, we tell you to buy it and spend the budget on the 20% that doesn't exist yet.
  • No deployment without observability. Every call logged, every cost tracked, every failure visible. If you can't audit your AI's decisions, you can't own them.
  • No cavalier data handling. We never fine-tune on client data without sign-off, and we isolate per-client data at the vector-store layer.
FAQ

Frequently Asked Questions

What is an AI automation agency?

An AI automation agency builds the glue between AI models (GPT, Claude, Gemini) and your actual business systems — CRM, support inbox, internal tools, websites. We don't hand you prompts; we deploy production AI agents that run inside your existing stack and handle real workflows end to end.

Do you work with n8n, or build custom solutions?

Both. n8n is our default for about 70% of projects — it's visual, fast to iterate, and non-engineers can maintain it. For heavier logic, higher throughput, or regulated data, we write custom Python or TypeScript services. The right answer depends on your team's technical depth and the integration's volume.

How much does an AI automation project cost?

A single-workflow deployment (e.g. AI-triaged support inbox) runs $4–8k and ships in 2–3 weeks. A multi-system agent (sales AI connecting CRM, LinkedIn, and your calendar) runs $15–40k over 6–10 weeks. We publish typical price bands upfront so you can scope realistically.

Can you integrate with my existing CRM and tools?

Yes. We've integrated with HubSpot, Salesforce, Pipedrive, Monday, Notion, Slack, Zendesk, Intercom, and 100+ others — mostly via n8n's native connectors, with custom API work for anything missing. If a tool has an API, we can connect to it.

How long does an AI implementation take?

Simple automations (document extraction, email classification) ship in 1–2 weeks. Agent-driven workflows with multiple decision steps take 4–8 weeks. We prototype in the first week so you see real output before committing to the full build — it's the fastest way to find out if the solution fits.

Do you provide training and documentation?

Yes. Every delivery includes a Loom walkthrough per workflow, a written runbook, and a 2-hour team training session. For complex deployments we recommend a monthly retainer so your team has an escalation path when something changes upstream (API deprecations, model updates).

Let's put AI to work in your business.

Every support ticket a bot could resolve and every lead that goes cold overnight is a cost you're already paying. Tell us where the friction is and we'll show you what automating it looks like.

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