What kind of companies do you work with?

Mostly early-stage and scaling B2B startups — typically teams between 3 and 50 people. But we've also worked with larger teams on specific operational challenges. If your ops are broken and you're moving fast, we're probably a fit.

How is this different from hiring a freelancer or using an AI agency?

Most AI agencies lead with tools. We lead with business understanding. We've actually run operations at startups — marketing, sales, support, HR, product. We diagnose why something is broken before we touch any tool. That means we build the right solution, not just a technically impressive one.

What does the free ops audit include?

A 30-minute call where we map your current workflows, identify your top 3 bottlenecks, and give you a concrete plan for what to automate and in what order — with estimated time and cost savings. No fluff, no sales pitch. You walk away with an actionable plan whether you work with us or not.

How long does a typical project take?

Simple automations ship in 3-5 days. Medium-complexity workflows take 1-2 weeks. Large systems (like a full revenue ops stack or an AI knowledge base) take 3-4 weeks. We scope tightly and deliver fast — you'll see working prototypes within the first week.

Do you offer ongoing support after a project?

Yes. We offer monthly retainers for ongoing optimization, monitoring, and new automation builds. Most of our clients start with a project and transition to a retainer because as they grow, new bottlenecks appear. We evolve the system with them.

What if we don't know what needs to be automated?

That's the most common starting point. You don't need to come with a spec — just come with your problems. We'll audit your entire workflow, identify the highest-ROI automation opportunities, and prioritize them. That's literally what the free ops audit is for.

Can you help with HR and people operations specifically?

Absolutely. HR is one of our core areas. We automate recruiting pipelines (sourcing, screening, scheduling), employee onboarding flows, leave and attendance tracking, performance review cycles, payroll integrations, and offboarding checklists. Everything from "we posted a job" to "they're fully onboarded and productive."

How do you price your services?

Project-based with clear scope and deliverables. We quote after the audit so pricing is based on your actual needs, not a generic rate card. Retainers are monthly, flat-fee, and scoped to a set number of hours and deliverables. No surprises.

Medium ComplexityCustomer Support AutomationDTC / E-commerce2 weeks delivery

Smart Support Triage Bot

AI-powered customer support that classifies intent, auto-drafts responses, and escalates critical issues to Slack in real time.

70%

Tickets Auto-Resolved

12min

Avg Response Time

94%

CSAT Score

Agents Redeployed

Smart Support Triage Bot — Workflow

Production

Smart Support Triage Bot

98.7% success

8,431 runsLast: 30 sec ago

Integrations

Intercom

Claude API

Notion

n8n

Stats

Nodes

Edges

New Intercom message

Intercom

Message Intake

Status

Running

TypeTrigger

Executions8,431

node-1

Raw message

Claude API

AI Classification

Status

Running

TypeAction

Executions8,009

node-2

Intent + urgency

Notion

Knowledge Base

Status

Running

TypeAction

Executions7,587

node-3

Edge cases

n8n

Orchestration

Status

Running

TypeAction

Executions7,166

node-4

All systems operational

4 nodes3 connectionsv2.4.1

The Problem

The Challenge

A growing DTC brand had a 6-person support team handling 200+ tickets daily through Intercom. Tickets came in with zero categorization — billing questions mixed with shipping issues, feature requests buried under complaints, and critical bugs going unnoticed for hours. Average first response time was 8 hours. Customer satisfaction was tanking, and the team was on the verge of burnout with no budget to hire more agents.

How We Fixed It

Our Solution

Audited 3 months of historical support tickets to build a taxonomy of 14 intent categories and 3 urgency levels.

Built an n8n workflow triggered by every new Intercom conversation, extracting the message content, customer metadata, and conversation history.

Integrated Claude API to classify each message by intent (billing, shipping, product question, bug report, feature request, etc.) and urgency (low, medium, critical).

Created auto-response templates for the top 8 most common query types — Claude generates contextual responses using the customer's order data and account history pulled from their backend API.

Set up a Notion database as a knowledge base for edge cases — when Claude's confidence is below 85%, the ticket gets logged with a suggested response for human review.

Configured real-time Slack alerts with rich context cards for any ticket classified as critical (P0 bugs, churn signals, VIP customers).

Tools & Infrastructure

Tech Stack

Intercom

Customer messaging platform. Captures all inbound support conversations across chat, email, and in-app messages.

Claude API

AI classification and response generation. Analyzes intent, urgency, and sentiment with high accuracy, then drafts contextual responses.

Notion

Edge case knowledge base and audit trail. Logs uncertain tickets, tracks resolution patterns, and builds an evolving FAQ database.

n8n

Workflow orchestration. Connects Intercom to Claude to Notion/Slack with conditional logic, error handling, and retry mechanisms.

Impact & Outcomes

The Results

70%

Tickets Auto-Resolved

7 out of 10 incoming tickets are now fully resolved by AI without any human intervention.

12min

Avg Response Time

First response time dropped from 8 hours to 12 minutes — a 40x improvement.

94%

CSAT Score

Customer satisfaction jumped from 72% to 94% as response quality and speed improved dramatically.

Agents Redeployed

3 support agents were redeployed to proactive customer success roles instead of reactive ticket handling.

Want results like these?

Book a free ops audit and we'll show you exactly where automation can transform your workflows.

Book a Free Ops Audit

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