Kwartz — Your next hire is an AI

// How we work

Our process, from idea to production.

Whether we're building a data pipeline, an automation, or an AI agent — every engagement goes through the same four steps. Clear, repeatable, and designed so you always know where we are and what's next.

01 · Discover

We learn your business.

We embed with your team to map workflows, systems, and the pain points that actually matter. Not surface interviews — real observation.

02 · Solution

We design the right fix.

Sometimes an AI employee. Sometimes an automation. Sometimes "don't build this." We scope, plan, and agree before anything gets built.

03 · Implement

We build and deploy.

Integrated with your existing systems, trained on your data, secure by design. We ship to production — not a sandbox demo.

04 · Monitor & Improve

We stay on.

Ongoing monitoring, retraining, and new capabilities as your business evolves. The employee gets better the longer we work together.

Your AI bench, not a one-off project.

We run multiple solutions in parallel for every customer — while one AI employee is being monitored and improved, the next is in discovery. Kwartz acts as your fractional CTO across the whole bench. We prefer long-term relationships built on high trust, both ways.

// The Agent Team

Meet our AI employees.

Trained at Kwartz, deployed to customers. Each one is a specialist built for a specific business function, then placed into a customer's team and managed by us.

Meghna running · 412 days

Field Ops Coordinator

NGO · Social Impact

Lives in Telegram, where field teams already work. Collects beneficiary data and field reports through natural conversation, follows up on pending activities, and feeds structured data straight into the organization's systems. Meghna replaced a full-time data-entry role.

runtimePythonlong-running

interfaceTelegram Bot API

memoryPostgresvector store

integratesGoogle SheetsGmailCRM

deployedFly.io

Placed at a national NGO running multi-region programs.

Jamie running · 287 days

Shop Floor Supervisor

Manufacturing

Works the factory floor via Telegram, collecting production data and maintenance updates from operators and technicians in real time. Tracks unresolved issues, escalates when they stall, and feeds everything into the ERP — nothing falls through the cracks.

runtimePythonlong-running

interfaceTelegram Bot API

memoryPostgres

integratesERPNextEmail

deployedFly.io

Placed at a precision-manufacturing company.

Maya running · 521 days

Data Analyst

Cross-Industry

Processes hundreds of thousands of records across finance, operations, and sales in minutes. Answers plain-English questions, surfaces patterns, and turns days of analyst work into a conversation. Deployed across multiple industries.

runtimeClaudereactive

interfaceClaude DesktopWeb

connectorsMCP

dataERPNextWarehousesSheets

deployedPer customer

Placed across manufacturing, non-profits, and services clients.

Alex running · 198 days

ERPNext Administrator

Manufacturing · Services

Configures ERPNext based on input from the people who actually know the business — doctypes, workflows, permissions, and business rules. For small and mid-sized deployments, Alex removes the need for an implementation partner entirely.

runtimeClaudereactive

interfaceClaude Desktop

connectorsMCPFrappe REST

managesDoctypesWorkflowsPermissions

deployedPer customer

Saved a mid-sized manufacturer months of implementation and several lakhs in consulting.

IT Manager in training

Infrastructure Manager

Cross-Industry

An autonomous employee that manages servers, cloud resources, networking, and security. Monitors continuously, troubleshoots, and sends daily status updates. A dedicated IT manager who never sleeps.

runtimePythonautonomous

monitorsServersCloudNetworking

integratesPrometheusCloudflareAWS

alertsTelegramEmail

statusIn development

Expected deployment: mid-2025.

Social Manager in training

Social Media Manager

Cross-Industry

Owns the full social lifecycle — content strategy, creation, scheduling, publishing, engagement monitoring, and performance analytics. Keeps brand presence active and consistent across platforms.

runtimePythonautonomous

platformsLinkedInXInstagram

capabilitiesContentSchedulingAnalytics

integratesBuffer APIMeta API

statusIn development

Expected deployment: mid-2025.

// Services

Not sure where to start? Run a workshop.

A day with your leadership team, facilitated by Kwartz. We map your business end-to-end and leave you with a prioritized plan — whether or not you work with us afterwards.

Day-long · Paid engagement

AI Opportunity Workshop

We spend a full day onsite or remote with your team, working through your operations to identify the highest-leverage places AI and automation can help.

Workflow mapping across functions
Pain-point and bottleneck analysis
Candidate AI employees and automations
Prioritized roadmap with effort and impact estimates
Final writeup delivered within a week

Enquire about a workshop →

Who it's for

SMB leadership teams who know AI should be helping, but aren't sure where to start or what to prioritize. You walk away with a plan — and the clarity to execute it, with or without us.

What you leave with

A written roadmap ranking every candidate AI initiative by impact, effort, and readiness. Your team, your systems, your language — not a generic deck.

Your next hire
is an AI.

Built for outcomes, across every layer.

Our process, from idea to production.

We learn your business.

We design the right fix.

We build and deploy.

We stay on.

Your AI bench, not a one-off project.

Meet our AI employees.

Not sure where to start? Run a workshop.

AI Opportunity Workshop

Who it's for

What you leave with

Built by operators who've been in the trenches.

Let's talk about your first hire.