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A digital assistant for the customer inbox

A digital assistant that keeps your inbox under control.

A digital assistant right in your email inbox. It sorts incoming messages, suggests replies, holds conversation context across weeks. The team only picks what needs judgment — the assistant handles the rest.

Book a free consultation Send a message
Sorting + draft replies Conversation context across weeks Escalation with full history
What's different

It's not an auto-responder. It's not a reply generator.
It's a digital assistant for the customer inbox.

The assistant doesn't imitate you. It sorts incoming mail, categorizes request types, holds conversation context and suggests replies in your company's tone. You approve or edit — or enable full autonomy for defined types.

What you get

What changes in your company.

CUSTOMER

They don't wait three days for a reply

An answer arrives in peak season and over the holidays. And it never starts from a blank page — the assistant knows everything said so far.

YOUR TEAM

Your morning doesn't start from zero

The inbox holds drafted replies waiting for approval, not a pile of unread mail. Your team adds and approves instead of writing from scratch.

YOU

Nothing slips between the threads

The assistant watches for conversations that have stalled and raises them before the customer follows up — or stops writing altogether.

Bespoke

What you customize on this assistant.

We don't build templates. We build the email assistant individually based on how your company communicates by email.

COMMUNICATION

Style and tone

Formal, friendly, technical. Brief or detailed. In your brand's tone.

CAPABILITIES

What it can do

Sorting incoming mail, replies, follow-ups, categorization, handover. You define the scope.

KNOWLEDGE

What it knows

Your services, procedures, documentation, FAQs and internal rules. Trained on the reality of your company.

INTEGRATIONS

Connections

Email inbox, CRM, helpdesk, invoicing and internal software — it works with live data.

ESCALATION

Handover to a human

Whatever needs judgment, the assistant hands to the team with the whole thread context. Rules to fit you.

AND ANYTHING ELSE

Every solution bespoke

Plus anything else — what the assistant knows, does and which features it has is up to you.

With every assistant you also get a free dashboard — conversation history, statistics, escalation overview and live conversations where your team can take over the chat directly from the overview.

How it looks in operation

The customer asks. The assistant finds it. You approve.

The question “where's my order” has a clear answer in 30 seconds. You stay at the Approve button.

✉️
Email assistant
Inbox podpora@firma.cz
Incoming emailHello, where is my order #4521?
📦 Loading order #4521 and shipment status…
Reply draftYour parcel left the Brno depot this morning at 6:42. Delivery today between 14:00–17:00. Tracking: 02DPD2024XYZ.
✓ Approve and send
Sent · the customer knows within 1 minute
Channel context

Five types of communication that email carries in business.

Email is the most asynchronous channel. The customer expects a reply within hours, not minutes — but a quality one. The assistant categorizes and handles by type.

CONTEXT 01

A customer query

Questions about a product, service, terms, availability. The assistant suggests an answer from the knowledge base.

CONTEXT 02

Orders and statuses

Order confirmations, status queries, changes. The assistant knows the status from the connected system and suggests a reply.

CONTEXT 03

Returns and sensitive topics

The assistant doesn't reply autonomously — it categorizes, collects context and hands to the responsible person. By arrangement it can handle these itself too.

CONTEXT 04

Multi-step transactions

Threads of several messages (booking, a negotiation process). The assistant holds context, doesn't start over each time.

CONTEXT 05

Internal team communication

Forwards, FYIs, coordination. The assistant recognizes it's not for a customer and doesn't sort it as customer-facing.

Inbox in real time

How the assistant sees your inbox.

Every incoming message gets a category, priority and a suggested next step. The team opens an already-sorted inbox — it doesn't start each day at zero.

Inbox — categorized by the assistant
Jana Nováková 4 min ago
Change of booking date support
Hello, I'd like to reschedule my booking…
Tomáš Vlček 8 min ago
Order status #2847 order
Hello, when will my order arrive?
Petr Sýkora 12 min ago
Claim for delivered goods complaint
Dear team, the package arrived damaged…
Anna Veselá 18 min ago
Question about the price list enquiry
Hello, may I ask for a price list…
Lukáš Procházka 24 min ago
Help with setup support
Hi, I'm trying to set up…
Order status #2847
Tomáš Vlček · tomas.vlcek@example.cz · 8 min ago · Category: Order
Hello, I ordered from you last week (order #2847) and I'd like to know roughly when it will arrive. Thanks, Tomáš
Reply draft from the assistant
Hello, Mr. Vlček. Your order #2847 (Bosch GSB 24-2 professional drill) was shipped yesterday at 16:32 via PPL. Tracking number: PPL2847651. Estimated delivery tomorrow (28 May) in the morning. If there are any problems, you can contact the driver directly or let us know.
✓ Approve and send ✎ Edit ↻ Regenerate
What goes away

What the company stops dealing with.

Email is the oldest and most overloaded customer channel. The assistant makes it manageable.

Inbox bombarded every day

An assistant spends hours sorting into categories.

Incoming messages sorted automatically — by morning you know what's important.

Answering the same things over and over

60% of emails are variations of 30 typical questions.

The assistant suggests replies, or handles them autonomously per the setup.

Forgotten conversations

An email from last week falls through, the customer gets no reply.

It tracks conversations, flags unresolved ones, escalates after a defined time.

Sensitive emails wait a long time

A sensitive email arrives at night, gets handled only in the morning.

The assistant recognizes the sensitivity and escalates immediately to a specific person.

Training

How the assistant is trained on your company.

Email carries more context than other channels. Training focuses on detail, nuance, tone.

PILLAR 01

Tone and formality

B2B vs. B2C, formal vs. partnerly. We calibrate from your historical emails — at least 100 examples.

PILLAR 02

Knowledge base

Products, services, terms, FAQs, policies. The assistant draws solely from approved sources, doesn't improvise.

PILLAR 03

Categorization logic

Query, complaint, order, spam, internal communication. We define the rules together.

PILLAR 04

Decision rules

What to answer autonomously, what to send for approval, what to escalate. Granular by type and sensitivity.

PILLAR 05

Examples of good conversations

Training on 30+ historical conversations where the team marked “this is how it should be done”.

Integration

Which systems it connects to.

The email assistant lives in the inbox ecosystem. It connects to what you already use.

Email inbox

Gmail (Google Workspace), Outlook (Microsoft 365), custom IMAP/SMTP. It works inside the inbox, not outside it.

CRM system

Raynet, Anabix, eWay-CRM or a custom API. Customer lookup, storing conversations, qualification.

Helpdesk

Daktela or your own helpdesk. Converting an email to a ticket if the team works in a ticketing system.

E-commerce

Shoptet, Upgates, WooCommerce. Order statuses, availability, returns.

ERP / invoicing

Pohoda, Money S3, Helios, ABRA, iDoklad. Invoices, delivery notes, statuses.

Booking system

Reservio, Reenio, Bookio, hotel PMS. Hotels, salons, restaurants, clinics. When a system has no API, we solve the connection another way too.

Actions

What the assistant actually does.

Actions it can perform on its own or with your approval.

  1. 01Classifies an incoming message (query / order / complaint / spam / internal)
  2. 02Suggests a full reply in your company's tone, ready to send
  3. 03Finds information in the CRM, e-shop, ERP or helpdesk in real time
  4. 04Sends a document (invoice, guide, terms) as an attachment
  5. 05Flags when a conversation is waiting for your input
  6. 06Escalates sensitive messages immediately to a specific person per CRM rules
  7. 07Creates a helpdesk ticket from an incoming email, fully categorized
  8. 08Saves a closed conversation to the CRM with a summary and outcome classification
  9. 09Monitors the SLA — if a conversation stalls longer than a defined time, it escalates
The lifecycle of one conversation

How the assistant handles a multi-message conversation.

Email communication often runs over 5–10 messages across weeks. The assistant holds context, tracks statuses, escalates on stagnation.

Receipt

Classification

Categorizes the message, detects whether it follows an existing thread, loads the history.

Draft

Drafting

For typical queries it suggests a full reply. For complex ones it prepares materials — facts, context, suggestions.

4 s on average
Approval

Team / autonomous

Approval mode: 1-click approval. Or full autonomy for defined types.

Sending

Status tracking

The assistant records when the customer replies. If a conversation stalls, it flags it.

Closing

CRM record

After closing it saves a summary to the CRM, classifies the outcome, archives for audit.

Escalation

When it hands over to a human.

With email the line between “reply autonomously” and “send for approval” is finer than in chat. We define it together.

Trigger 01

Sensitive topic

Refunds, legal or health questions and other more sensitive situations — a human by default, or a digital assistant by arrangement.

Trigger 02

Contractual change

Anything with legal weight (terms change, refund, extension) — always a human.

Trigger 03

The customer wants a human

When a customer explicitly asks for a human in an email, the assistant prepares materials and hands to a specific person.

Trigger 04

Outside the approved scope

A question outside training → the assistant prepares materials, hands to a human.

Trigger 05

A stalled thread

If the customer doesn't respond to the assistant's question for 5 days, it escalates to a human for follow-up.

Deployment

What deployment looks like.

Seven steps from the first consultation to production — 10–14 days.

Consultation

~ 60 min

Mapping email volume, types, escalation logic, communication tone.

History audit

3–4 days

Analysis of the last 500+ historical conversations for patterns, categories, types.

Configuration

2 days

Tone, categorization, approval logic, routing rules.

Training

3–4 days

Knowledge base, approved answers, examples of good conversations.

Integration

2–3 days

Inbox, CRM, helpdesk, ERP, inventory — connection to real data.

Approval mode

5–7 days

Launch in approval mode — the team approves every reply, we calibrate.

Full operation

Day 14

Gradual switch to autonomy for defined categories, weekly reviews.

Operational impact

Operational impact we measure from the first week.

Email efficiency is often neglected. The assistant makes it visible.

LAYER 01 — VOLUME

What went through the inbox

  • Incoming by category
  • Answered autonomously vs. by a human
  • Response time (assistant vs. team before)
LAYER 02 — TEAM

What moved off people

  • Hours saved on sorting
  • Hours saved on typical replies
  • Shifting attention to complex cases
LAYER 03 — SLA

How you keep promises to customers

  • Time to first response
  • Time to resolution
  • Stalled conversations (early warning)
LAYER 04 — QUALITY

How well the assistant works

  • Approval rate (how many drafts pass without edits)
  • Re-open rate
  • Satisfaction after closing a conversation
Strategic consultation

Thirty minutes to know whether an email assistant makes sense for you.

No presentation. We'll discuss your communication volume, typical customer situations and how the assistant would fit into your processes.

Book an appointment Write a message

30 minutes. Online. No commitment.

Where next
Common questions

What you ask before you decide.

The five we hear most often — including the awkward ones.

Usually yes — and that is fine. We introduce the assistant as an assistant, never as Jana from support; pretending to be human always backfires. What a customer notices immediately is the difference between a specific answer in seconds and waiting until morning. Tone, the way it addresses people and even sentence length are tuned to the way you speak, so it sounds like your company.
This is the most common worry and we take it seriously. The assistant answers from your approved knowledge base and your systems, not from the internet. When it has no basis for something, it says so and hands the conversation to a person with the full context. Any answer that is off we fix within two working days and do not charge for it. And before the assistant goes anywhere near your customers, it has to pass a set of test questions you put together.
No, and that is not the goal. The assistant takes the routine: where the order is, what the opening hours are, how to return something. Your people get to the work where judgement matters — the harder cases and the customers who matter most. The workload rarely shrinks; it moves to what is worth more.
A specific operation is the rule, not the exception — which is why we do not build templates. We start by learning how things work at your place: your procedures, your exceptions, your tone and above all what must never happen. We connect the assistant to the systems where your real data lives, so it does not answer in general terms but the way you would. And if the consultation shows it does not make sense for you yet, we will tell you straight.
We quote on your own numbers: a one-off fee for building and deploying, then a fixed monthly fee for running it. And the risk is ours — the assistant does not go live until it passes a test made up of your own questions, we watch the conversations daily through the first month and keep tuning, and if it still does not hold the level we agreed on, we refund the full build fee and the first month of operation.