AI automation
- Price
- from $2,000
- Timeline
- 2–4 weeks
- Experience
- 100+ projects · 10+ years · 9+ countries
AI in your workflows: lead triage, summaries, reply drafts and reports
- HubSpot
- Google Sheets
- Telegram
Our usual stack. We bring in other tools when the task or the project calls for it.
AI is useful not as a chatbot for its own sake, but where people spend hours on repetitive text work: triaging leads, answering common questions, summarizing calls and writing reports.
We build language models into your processes — CRM, email, messengers and reporting — with clear rules and quality control.
What we automate
- Classification and triage of incoming leads
- Summaries of calls, meetings and conversations
- Reply drafts for your team to review
- Plain-language daily reports from your data
- Search across your company knowledge base
- Data extraction from documents
The busywork AI can take over
Leads arrive in a jumble and nobody has time to sort them
The model reads each lead, tags type, urgency and product, fills in the CRM fields and assigns an owner according to your rules.
After a call, the rep never logs the outcome in the CRM
We transcribe the call recording and produce a short summary — agreements, objections, next step — that lands on the deal card automatically.
Someone keys in data from invoices and contracts by hand
We extract company details, amounts and dates from PDFs and scans into a sheet or the CRM and check them against your rules. Doubtful documents go to manual review.
Every customer reply gets written from scratch
The AI drafts a reply from the customer's history and your templates; the rep edits and sends. Tone and required wording are set up front.
The internal docs exist, but nobody can find the right section
We index your internal documents so staff get an answer with a link to the exact section right in the team chat.
When AI automation pays off
A good fit if
- You handle dozens or hundreds of similar text operations a day
- You can show with examples what a correctly processed lead or document looks like
- Your data lives in tools with an API: HubSpot, Pipedrive, Gmail, Google Sheets
- A mistake at one step can be caught by a check, not discovered by a customer
Not a fit if
- It's a handful of operations a week — we'll suggest a simpler fix without a full project
- Every operation is legally binding — let's discuss a setup where AI only drafts and a person signs off
- You need a customer-facing chat — that's our AI Telegram bots service
AI with quality control
A measurable task
We pick a process where you know how much time it takes today, so after launch you can compare and see the effect.Tested on your examples
Before launch we run the AI on real leads and emails and refine the instructions until the quality is right.A human in the loop
Where mistakes are costly, AI writes the draft and a person on your team sends or approves it.
How we work
- 01
Process walkthrough
2–3 daysWe go through the process with the people doing it by hand: where data comes from, where decisions and errors happen.
You get A process map with the steps AI will take over marked - 02
Prototype on your data
3–5 daysWe build a first version on real leads, emails or reports and compare it with how your staff handle them.
You get A prototype and a side-by-side table: where AI did the job, where a person is needed - 03
Wiring it in
3–7 daysWe connect the automation to your CRM, inbox and spreadsheets so results show up where the team already works.
You get An automation that picks up incoming data and drops results into your systems - 04
Live shadow run
2–3 daysWe run it alongside the manual work, review every mismatch and tighten the rules.
You get A mismatch report and updated processing rules - 05
Handover
1–2 daysWe switch off the manual duplicate and show you how to edit the AI instructions and where to see errors.
You get A maintenance guide and a 3-month bug warranty
How we kick off automation
- A description of one or two operations you want to hand to AI
- A couple dozen real examples along with the correct output
- Test access to the CRM, inbox or document storage
- Rules: which fields to fill, who gets assigned, what counts as urgent
- Your security team's call on what data may go to cloud models
A free operation walkthrough
On a 30-minute call we go through the operation step by step: what comes in, what goes out, where people slip up today. Then we send an automation outline, a timeline and an estimate.
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Hours lost
on repetitive text work?
Lead triage, call summaries, reply drafts, daily reports — we pick one measurable task, test AI on your examples and keep a person in the loop.
It can, so important actions keep a human in the loop, and we track quality on real examples.
From $2,000. The total depends on the volume and variety of incoming data (emails, leads, documents, scans), how many systems the AI writes results into and how many examples we need to test quality. Model usage is estimated separately. We send an estimate after walking through the process on a call.
We choose the provider and settings to match your requirements: business plans that don’t train on your data, or models on your own server.
Model usage is usually small compared to the time saved. We estimate it on your volumes before launch.
With one process that has the most manual text work. We run a pilot, measure the effect and scale.
Related solutions
- AI Telegram botsBots for customers and staff: they answer, book, take leads and work with your data
- AI agents on n8nAgents that carry out tasks in your tools: they search, fill in, send and report back
- AI assistants for website & supportA website and support assistant that answers from your documents and hands complex cases to a person