The autonomous agent that turns an opening into a deal
NG Sara is not a website chatbot. It is an autonomous sales agent that plugs into your systems, keeps existing customers growing while it hunts for new ones, and for every opportunity it spots it picks the move itself — a message, an offer or a booked call — and executes it on the channel the customer actually uses. It works by your rules, around the clock, and leaves a trace for every decision.
- Existing and new customers
- Viber · WhatsApp · Instagram · email · SMS
- Lead discovery and qualification
- Copilot · semi-auto · autopilot
- Native with NG Commerce and KickOff CRM
- Outcome-based pricing
- 01Signals
- CRM and orderspurchase history
- Website behaviourvisits and cart
- Conversationsmessages and calls
- Public dataregistries, Google, tenders
- 02CoreNG Sara24/7THE DECISION LOOP
- See — gathers signals
- Assess — scores against policy
- Decide — picks the action
- Act — executes on channel
- Learn — records the outcome
- 03Actions
- Offerprice and terms
- Message on channelViber, WhatsApp, email
- Booked callNG Nora takes it
- Task for the teamwith full context
Existing customers
- Cross-sell
- Upsell
- Reorder
- Win-back
New customers
- Discovery
- Qualification
- Warming
- Conversion
- Copilot — suggests
- Semi-auto — you approve
- Autopilot — within guardrails
Two growth motors in one agent
Growth comes from two sides: the customers you already have and the ones you still need to find. Most teams only ever work one side — NG Sara works both at once, without anyone having to remind it.
On the existing-customer side, Sara watches purchase history and behavior: she spots when a reorder is due, which add-on is worth offering (cross-sell), when a customer is ready for a higher tier (upsell) and which customer has gone quiet and should be won back. Every move starts from a real signal, not from a campaign calendar.
On the new-customer side, Sara finds companies in domestic sources — APR registry data, Google Places and published public tenders — then scores and ranks them by how closely they resemble your best customers. She then warms each lead using public signals such as job postings, website visits and company news, until the lead is ripe for a concrete offer.
When an opportunity matures, Sara either closes it herself or books a call that NG Nora, the voice agent, takes over. Sara does not replace your CRM, storefront or ERP — she orchestrates them: reading signals wherever they come from and writing the move back into the system, with a full decision trail for audit.
Autonomous AI Sales Agent
- Existing customers: cross-sell, upsell, reorder and win-back
- New customers: discovery, qualification, warming and conversion
- Company discovery from APR registry data, Google Places and public tenders
- Lead scoring and ranking by similarity to your best customers
- Outbound channels: Viber, WhatsApp, email, SMS, Instagram, Messenger, web chat
- Inbound: website agent, Instagram DM and replies to Google reviews
- Closing the offer or booking a call handled by NG Nora
- Three autonomy levels and a full audit trail of every decision
How Sara makes every decision
The same loop turns for every opportunity, a thousand times a day: from a gathered signal to a lesson learned. Nothing happens outside the rules you set.
- 01
See
Sara continuously pulls signals from every side into one picture of the customer: what is in the CRM, what is happening on the website, what is being said in conversations and what public sources report.
CRM: purchase history, statuses, prior contactsWebsite and storefront: visits, cart, viewed itemsConversations: past messages, calls, emailsPublic sources: APR, Google Places, tenders, news - 02
Assess
Sara measures the gathered context against your policy and rules — who the customer is, what stage they are at, what may be offered and at what price.
Opportunity and stage scoringChecks on price, discount and availability rulesProhibited topics and behavior limitsPriority against other open opportunities - 03
Decide
From that assessment she selects who acts and what they do: which agent, which move, on which channel and at what moment.
The move: a message, an offer, a call or a taskThe channel the customer actually replies onAutonomy level: suggest, approve or actTiming aligned with the customer's behavior - 04
Act
Sara carries out the move: she sends the message, creates and sends the offer, books a call for NG Nora or opens a task for a human.
Sending the message on the chosen channelCreating and sending a personalized offerBooking a call that NG Nora takes overOpening a task and handing off to a human when needed - 05
Learn
The outcome of every move is logged and fed back into the loop: what worked, what did not, and how the next decision can be better.
Logging the outcome of every message and offerUser ratings from the PlaygroundRefining future decisions from the resultsA full audit trail for compliance
What you get
Capabilities that cover both sides of growth — from finding a customer to closing the offer — under your control and with a full trail.
Growing existing customers
Reorders, cross-sell, upsell and win-back, each triggered by a real signal in purchase history and behavior — not by a fixed campaign date.
Finding new customers
Discovers companies from APR registry data, Google Places and published public tenders, building a pipeline that did not exist yet.
Qualification and scoring
Scores and ranks every lead by how closely it resembles your best customers, so effort goes where it is most likely to convert.
Warming on public signals
Follows job postings, website visits and company news to warm a lead until it is ready for a concrete offer.
Every channel, both ways
Outbound on Viber, WhatsApp, email, SMS, Instagram, Messenger and web chat; inbound through the website agent and Instagram DM, plus replies to Google reviews.
Close or hand to NG Nora
Closes the offer directly where the customer talks, or books a call that NG Nora, the voice agent, takes over end to end.
Three autonomy levels
Copilot suggests the move, semi-auto waits for your approval, autopilot acts on its own within the guardrails you set — chosen per segment.
Flow Studio
A visual builder for the sequences Sara runs and the instructions each agent follows, so the playbook is yours, not a black box.
Customer Wallet
A gamified loyalty wallet that rewards repeat purchases and referrals, turning satisfied customers into a channel of their own.
Persona, tone and limits
Give Sara a custom name, avatar, tone and language, and define prohibited topics up front so she stays on brand and in bounds.
Playground and knowledge base
Train Sara and rate her answers in the Playground; her knowledge base transparently shows what she learned about products and pricing, for your approval.
Integrations without migration
Native and zero-setup with NG Commerce and KickOff CRM, API and MCP connectors for third-party eCommerce, CRM and ERP, and Excel or CSV import to start today.
Why teams bring Sara in
The effect does not come from any one message — it comes from no opportunity being left without a move, and from selling that does not stop when everyone goes home.
- 24/7
- Always onSara reacts the moment a signal appears, not when someone finally gets to it.
- 2
- Growth motorsExisting and new customers developed at the same time, from one agent.
- +25%
- Repeat revenueTimely reorders, cross-sell and upsell across the customers you already have.
- ×3
- Opportunities workedScoring and automation keep every opening moving instead of slipping away.
Figures shown are target ranges based on implementations, not a guarantee of results.
NG Sara — FAQ
Does NG Sara replace our CRM or storefront?
No. Sara connects to the systems you already have and orchestrates them. With NG Commerce and KickOff CRM she runs with zero setup; with other eCommerce, CRM or ERP systems through API and MCP connectors; and if you have no system yet, an Excel or CSV import is enough to start immediately.
Where does Sara find new customers?
From publicly available domestic sources: company data from the APR registry, Google Places and published public tenders. She scores and ranks the companies she finds by similarity to your best customers, then warms them by following public signals — job postings, visits to your website and company news. All of it runs within the rules you set.
Who actually sends the messages — Sara or my team?
You choose, and you choose per segment. At the Copilot level Sara only suggests the move and a person sends it. At semi-auto she prepares the move and waits for your approval. On autopilot she acts on her own, but strictly within the guardrails you set. Every message and decision stays in a full audit trail.
How do we make sure Sara never says the wrong thing about price or products?
Sara's knowledge base transparently shows what she learned about your products and prices and asks for approval before she uses it. Prohibited topics are defined up front, and in the Playground training and rating her answers tunes the tone and content before she ever faces a customer.
How does Sara close a sale?
When an opportunity matures, Sara can close the offer herself on the channel the customer uses, or book a call that NG Nora, our voice agent, takes over. More complex cases she hands to a human as a ready-made task, with the full context attached.
Which channels does Sara work on?
Outbound she communicates over Viber, WhatsApp, email, SMS, Instagram, Messenger and web chat. Inbound she handles enquiries through the website agent and Instagram DM, and replies to Google reviews. For each customer she picks the channel that customer actually responds on.
How is pricing determined?
On request, on an outcome-based model — tied to accepted offers or a share of the revenue generated. That way you pay for what Sara actually brings in. The exact model is agreed around your processes and channels.
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Put Sara on one segment
A short conversation about your customers and channels, then a demo on your own data — start at the Copilot level, where Sara suggests and you approve, and raise the autonomy as trust builds.