Let’s talk

We automate the repetitive work slowing your team down.

Moshn builds AI systems that prepare follow-ups, process documents and keep your tools in sync. Built around your existing team, with their approval where it matters.

30 minutes · Free · No obligation
Real client workflowsTwelve years of know-how, one company brain.The Flights Club · Points & travel
  1. 01Emails, transcripts and CRM

    Deal history, pricing and playbooks pulled together.

  2. 02A company brain the team can ask

    Answers from their own files, with sources.

  3. 03Call notes become follow-ups

    Finished and ready to send. Runs 24/7.

  4. Result14hr → 3min

    Lead response time. 3× qualified pipeline in two months.

“Now it lives in one company brain the whole team can ask.” Steve Hui, Founder.

Brands we’ve worked with

Client feedback

What clients say.

Impact PartnersSales outreach · Executive recruitment
“As an executive recruiting firm, everything we do is relationship-driven, so we were wary of automating outbound. Artem built us an AI outreach system that tested messaging, learned from what prospects said, and kept improving. By the end of the pilot we had a genuine pipeline and a new client signed.”
Sarah TelgarskySarah TelgarskyPrincipal & Sales Lead · Impact Partners
Ministry of Architecture + InteriorsInternal knowledge · Architecture practice
“Five years of institutional knowledge and project history lived in files we had to manually search. Now it’s a single system the whole practice draws on. It answers from our own work, holds our standards, and never forgets a thing.”
Brett Roake-BarefootBrett Roake-BarefootPrincipal · Ministry of Architecture + Interiors

01 / Automation in practice

From a full inbox to work ready for review.

Here’s one example: an invoice comes in, the details are prepared and a mismatch is sent to the right person.

Illustrative workflows with fictional data. Your build follows your process, rules and tools.

Invoice processing

Less copying.
Clearer approvals.

The system reads the invoice, prepares a draft bill and checks the amount against the purchase order. Finance reviews the exception with the details already attached.

Today
Open the PDF. Retype the fields. Find the purchase order. Chase an approval.
With automation
A prepared bill, completed checks and a clear queue for anything that needs a person.
GmailXeroSlack
Interactive example
Supplier invoice
Northline SuppliesINV-1842
$2,400Due 30 Sep
Equipment order$2,400
Purchase orderPO-204
↳ invoice-1842.pdf
Draft billExtracted
Supplier
Northline Supplies
Invoice
INV-1842
Total
$2,400
!
Amount mismatch

PO-204: $2,200 · Invoice: $2,400

+$200
#finance-approvals

Review the difference before approval.

On hold
Finance gets the exception.

A draft bill and the mismatch go to the reviewer. No payment is made.

Illustrative workflow · Fictional data

Another exampleWhat about customer support?

Customer support

The same question.
A reply ready to review.

Sort incoming requests, pull in customer context and prepare replies to repeat questions. Give your team the issues that need judgement, with the history already there.

Today
Read every ticket. Search another tool. Type the same answer. Forward the difficult ones.
With automation
Routine replies ready to check. Exceptions assigned to the right person with the context attached.
ZendeskShopifySlack
Interactive example
Customer support / #1086Normal
JL
Jamie L.

Hi, where is order #1042? I haven’t had an update since Monday.

Order #1042

Dispatched · Tracking available

✓ Matched
✦Suggested replyFor review

Hi Jamie, your order has been dispatched. You can follow its progress using the tracking link below.

View order tracking

Source: order #1042 · Shipping guidance

Refund dispute #1087

Routed to a support specialist with the conversation attached.

Human review
People handle what needs judgement.

The routine reply is ready for review. A separate refund dispute goes to a specialist.

Illustrative workflow · Fictional data

02 / What else we build

Start with the task that keeps coming back.

A report someone rebuilds every Friday. A follow-up that gets forgotten. Information buried in a shared drive. Choose an area to see what we can take off your team’s plate.

Document processing

Reduce the cost of manual data entry.

Forms, documents and incoming requests

GmailInvoice inbox
Google DriveShared documents
XeroBills & supplier records

Your business workflow

Your fields + processing rules

  • Key details extracted
  • Records prepared for review
  • Exceptions sent to the right person

We map the documents your team handles, the fields you need and where the data goes. The workflow extracts information and checks it against your rules. Unclear or missing details go to a person for review before records are updated.

Works with your stack

Built into the tools your team uses.

We start with the software your team already uses and check which connections are available. If a new tool would help, we explain the reason and the cost before you decide.

SlackNotionAirtableHubSpotSalesforceXeroQuickBooksGmailGoogle DriveGoogle SheetsGoogle CalendarSlackNotionAirtableHubSpotSalesforceXeroQuickBooksGmailGoogle DriveGoogle SheetsGoogle Calendar
AsanaZendeskShopifyStripeTypeformCalendlyConfluenceWhatsAppFathomChatGPTClaudeAsanaZendeskShopifyStripeTypeformCalendlyConfluenceWhatsAppFathomChatGPTClaude

Less manual work across your business. 30 minutes · Free · No obligation.

Book a free intro call

03 / How it works

Start with one process. See what changes.

  1. 01

    Audit

    Agree what is worth building

    After an introductory call, we map the chosen workflow with your team. We agree the deeper discovery work, expected benefit and costs before the build.

    You get: a defined scope, quote and success measures.

  2. 02

    Build

    Build it around your business

    We connect the agreed tools and build the repeated steps. Your team tests it with real examples, including missing information and cases that need a person.

    You get: a working system tested against your process.

  3. 03

    Launch

    Make it part of the working day

    We roll it out with your team, document how it runs and train the people using it. Ownership, access and the handover are agreed in your scope.

    You get: team training, documentation and a clear handover.

  4. 04

    Improve

    Measure the difference

    Compare time spent, rework and running costs with the starting point. Agree monitoring, maintenance or further improvements based on what your team needs.

    You get: a review of results and separately agreed support.

What about rollout and ongoing costs?
You bring
The people who do the work, your tool list and a few real examples.
We handle
The agreed setup, integrations, testing, documentation and training.
Before you commit
Compare the expected benefit with build costs, software, AI usage and support.
When you switch
After testing with your team. Keep useful tools and agree how to handle exceptions.

Make the business case

What is repetitive work costing your team?

Copying data between tools. Preparing documents. Chasing updates. A few hours per person adds up across a team. Use your own numbers to see the cost.

20

Minutes per person, per week

1h 30m
1h
1h
$/ hour

Estimated manual workload

70hours / week
3h 30mper person
each week
  • Preparing documents & reports30 h
  • Moving data between tools20 h
  • Chasing updates & follow-ups20 h
Annual cost of this workload$182,000
About the same as1.8 full-time roles
Book a free intro call

20 people × 210 min ÷ 60 = 70 h a week. Illustrative workload, not a savings forecast. Use a fully loaded hourly cost in your own currency. Annual estimate assumes 52 weeks; only some of this work may be worth automating.

Meet your builder

You’ll work directly with me.

Artem Novitckii, founder of Moshn
Artem NovitckiiFounder, Moshn

Previously at Microsoft & Relevance AI · Built for AWS, Deel & Auckland Council

  • 68k+ followers on Instagram. I share how I build AI systems in public, and 9,000+ founders and creators read my weekly newsletter on practical AI.

  • Ex-Microsoft and Relevance AI. Engineering at big tech and at one of the first AI agent platforms, now applied to your team’s workflows.

  • Built for brands like AWS, Deel and Auckland Council. Same method every time: find where the hours go first, build second, hand over the keys.

  • Software engineer. I work directly with you to understand the process, build what helps and give your team a system they can use.

“Good automation starts with understanding the work.”

A few good questions

Before we talk.

What kinds of businesses do you work with?

Established businesses with teams doing repeatable work across sales, operations or customer service. Industry matters less than the process: how often it happens, how much time it takes and whether improving it would justify the investment.

Do we have to change our tools?

Often, no. We start with the software your team already uses and check which connections are available. If a new tool would help, we explain the reason and the cost before you decide.

What does it cost?

The introductory 30-minute call is free. Any deeper workflow audit, discovery or build is scoped and quoted separately, with software, AI usage and support costs made clear. You can weigh the full cost against the likely benefit before committing.

How do you measure the savings?

We establish a baseline for the agreed workflow: volume, time spent, rework and operating costs. After rollout, we compare the same measures and account for the cost of running the system. Hours freed up are extra capacity; cash savings depend on which costs actually fall.

Do we need a technical team?

We handle implementation and train the people who will use it. You provide a process owner, examples of the work and access to the agreed tools. Documentation and support arrangements are part of the handover.

What happens to our business data?

Before access is granted, we agree which data is needed, who can use it, which services process it and how long it is kept. Access controls and provider settings are reviewed for your build. Confidentiality terms, including an NDA where needed, are agreed up front.

Can we start with one workflow?

Yes. That is usually the best starting point. A contained build gives your team something useful to test and gives us evidence for whether expanding makes sense.

Who owns the system, and what happens after launch?

Ownership, account access and any third-party licences are set out in your project scope. We document the workflow and train your team. Monitoring, maintenance and ongoing improvements are agreed separately so you know who is responsible and what it costs.

Start with a conversation

What keeps your team busy, but shouldn’t?

Bring one repeated task to a free 30-minute call with Artem. We’ll discuss how it works today, where automation might help and what we need to find out next.

30 minutes · Free · No obligation

A first conversation about fit and next steps. A detailed workflow audit or build is scoped separately.

Recording and transcription are optional. We ask for your permission before capture starts. Prefer no recording? We take manual notes.

Prefer email? Tell Artem what you’re working on

Artem Novitckii30-minute intro call
  • 30 minutes
  • Video call
  • Free, no obligation
Choose a time

Opens the calendar full screen. Pick any time that suits you.

For established teams ready to invest in more efficient operations.