A digital assistant for Instagram communication.
A digital assistant that understands your company's context and handles incoming messages on Instagram. It responds at the channel's pace, holds the brand tone, hands more complex cases to people.
It's not an auto-reply tool. It's not a DM widget.
It's a digital assistant for Instagram.
It understands who's writing to you, what they're looking for and how your company communicates. It leads the conversation from the first message to a handover to sales or a completed action.
What changes in your company.
They get a reply to their message right away
Not in two days, once somebody finally gets to it. And not one sentence with no context — the assistant knows your range and the state of the order.
You don't watch messages in the evening
Social media comes alive at night and at weekends, exactly when nobody on the team is working. That is when the assistant answers.
Messages turn into enquiries
What used to be scattered across the chat ends up in one overview — and in your CRM when you want it there.
What you customize on this assistant.
We don't build templates. We build the Instagram assistant individually based on how your brand communicates on Instagram.
Style and tone
How the assistant replies in DMs and under posts — from formal to friendly. In your brand's tone.
What it can do
DMs, story replies, comments, qualification, bookings from DM. You define the scope.
What it knows
Your services, offering, availability, FAQs and internal rules. Trained on the reality of your company.
Connections
Instagram, CRM, booking system and inventory — it works with live data.
Handover to a human
Whatever needs a human, it hands over with the conversation context. Rules to fit you.
Every solution bespoke
Plus anything else — it's up to you what the assistant should know, do and which features it has.
With every assistant you also get a free dashboard — conversation history, statistics, escalated and live conversations where your team takes over the chat right from the overview.
A customer sends a DM. The assistant offers a slot and books it.
A real DM conversation on Instagram. No writing back in the morning.
Four channels of one platform.
Communication on Instagram happens in four contexts. The assistant handles them all and connects them into one conversation with shared customer context.
Direct Messages (DM)
A private conversation. The customer's first message or a follow-up after a Story interaction. The assistant starts a dialogue, qualifies the intent, leads to an action.
Story replies
Replies to your Story open as a DM. The assistant knows which Story the customer reacted to and follows up in context — not in a vacuum.
Comments under posts
A public question under a post. The assistant decides: reply publicly per the brand's rules, or move to a DM (“We've sent you a private message.”).
Mentions & tags
When someone mentions you in a story or tags you under a photo, the assistant records the context and may respond with a thank-you or an offer of further interaction.
Typical customer interactions.
Three types of conversation that make up most of the volume on Instagram across industries.
→ A booking continues in DM, the final step via the hotel's booking system.
→ A booking straight from the DM, the assistant writes it into the salon's calendar.
→ Qualification through 3–4 questions, handover to a sales rep with full context.
What the company stops dealing with.
Operational problems Instagram communication typically creates — and that the assistant takes off the team's plate.
A notification at 10 p.m. on Saturday
The team thinks “I'll reply on Monday”. Meanwhile the customer leaves.
The assistant replies within seconds, regardless of the time of day.
Story reactions in a queue
After each post, 30–80 reactions come in via DM. Someone has to go through them manually.
The assistant reacts in the context of the specific Story and knows when to escalate.
Fragmented history
The team doesn't know what was handled with the customer a month ago.
Full history in one place, shared across the team and CRM.
Price questions under every post
Comments like “how much?” drain attention.
The assistant answers per the brand's rules, or moves it to a DM.
Inconsistent tone
A stylist, a receptionist and marketing reply differently.
One defined tone, one quality across all messages.
Lost leads from ads
A DM comes from an IG ad, no one responds in time, the lead goes cold.
Immediate response, qualification, handover to a sales rep with context.
How the assistant is trained on your company.
The assistant doesn't show up as a generic AI with the prompt “be friendly”. Before deployment it goes through training on your company's real context.
Brand tone and language
Formal, partnerly, playful, ironic. We define it together from your posts and communication.
Knowledge base
Services, pricing, opening hours, terms, FAQs. The assistant draws only from what you approved — it doesn't make things up.
Decision rules
When to reply publicly under a comment and when to move to a DM. When to offer a discount. When to hand to a human.
Instagram specifics
The brand's emoji policy, reply length, hashtags, linking — all to your standards.
Examples of good conversations
Training on 30–50 real conversations you and the team marked as “this is how it should be done”.
Which systems it connects to.
The assistant isn't isolated. It works with your systems in real time so it can answer specific queries and perform real actions.
Instagram Graph API
The official Meta interface for Business accounts. Webhook for incoming messages, sending replies, reading Story context, mentions.
CRM system
Raynet, Anabix, eWay-CRM or a custom API. Creates contacts, stores history, updates statuses.
Booking system
Reservio, Reenio, Bookio, Rezervace.com extranet or your own calendar. For hotels, salons, restaurants, clinics.
E-commerce
Shoptet, Upgates, WooCommerce. Order statuses, product availability, prices.
Team calendar
Google Calendar, Outlook or a custom API. For booking a call, viewings, appointments.
Helpdesk
Daktela or your own helpdesk, if you want to handle escalation in your own ticketing system. Without an API we solve the connection another way.
What the assistant actually does.
Actions it can perform on its own, without waiting for a human.
- 01Answers a question from your knowledge base (opening hours, pricing, terms, availability)
- 02Books an appointment in the connected booking system
- 03Creates a contact in the CRM with the conversation history
- 04Sends a link to a product, service or payment page
- 05Checks an order status and returns specific information
When it hands over to a human.
The assistant isn't about “solving everything”. Escalation is a first-class feature, not a fallback. You define the rules.
Low confidence in the answer
If the confidence score drops below the threshold, it hands over — it doesn't guess.
Sensitive topic
Refunds, legal or health questions and other more sensitive situations — a human by default, or a digital assistant by arrangement.
Customer request
“I want to talk to a human” is always respected. No third question, no retention.
Outside the approved scope
A question outside training → handover with a note “topic requires a consultation”.
Repeated frustration
When a customer writes angrily or repeats a complaint, the assistant hands to a human with a summary — it doesn't argue.
What deployment looks like.
Seven steps from the first consultation to production. No surprises, no empty waiting.
Consultation
Mapping message types, goals and links to other channels.
DM audit
Analysis of 200+ real conversations to understand patterns.
Configuration
Brand tone, scope, behavioral rules, escalation logic.
Training
Filling the knowledge base, approved answers, examples of good conversations.
Integration
Connecting to the Instagram Graph API, CRM, booking system.
Test operation
Test conversations with your team, calibration, fixing edges.
Live operation
Launch under your supervision, weekly reviews for the first 4 weeks.
Operational impact we measure from the first week.
Four layers of reporting that show what the assistant delivered. No marketing numbers — just what actually happened.
How many messages the assistant handled
- Incoming messages by type (DM / Story / comment)
- Resolved autonomously vs. escalated
- Distribution over time, peaks, days of the week
How well it responded
- Satisfaction score by topic
- Conversation length to a satisfied close
- Topics with repeated escalation — suggestions to extend training
What actually came out of the conversations
- Bookings / leads / sales created
- Conversion value (if connected to CRM)
- Journey from the first DM to a completed action
What the team saved
- Time the team would otherwise spend replying manually
- Shifting attention to more complex cases
- Reducing the whole channel's response time
Thirty minutes to know whether an Instagram 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.
30 minutes. Online. No commitment.