to first response
Manual routing can turn a high-intent inquiry into a cold follow-up.
Enterprise automation platform for sales + support
Sales Copilot handles conversations 24/7, recommends products and services, answers from your knowledge base, creates leads and deals in CRM, and can run in the cloud or inside your own infrastructure.
Messaging channels, CRM, knowledge base, catalog, and analytics operate as one governed automation layer.
Problem
When a first response takes hours and the journey starts with a static form, companies lose demand before a real conversation begins.
Manual routing can turn a high-intent inquiry into a cold follow-up.
Traditional web forms are a poor fit for buyers who expect a natural conversation in their preferred channel.
Disconnected channels and manual qualification make sales automation difficult to scale.
These figures are framed as typical scenario and pilot indicators, not unconditional legal guarantees.
Solution
The AI agent accepts the inquiry, clarifies need, budget and timeline, recommends catalog items, answers from approved knowledge, and escalates complex cases with a concise manager summary.
Customers write in a familiar channel and receive an immediate answer without waiting for an operator or filling a form.
The agent captures context, identifies need, budget and timeline, then recommends relevant products or services.
Answers are grounded in FAQ, instructions, documents, and approved company playbooks.
When a person is needed, Sales Copilot transfers the conversation, key facts, history, and next best action.
Communication channels
For international English-speaking markets, Sales Copilot connects major messaging platforms and web chat while keeping scenarios and reporting centralized.
Channels are configured by market, brand policy, and the company's customer communication model.
Use cases
How it works
Customer writes in a preferred channel
AI agent responds instantly
Agent uses knowledge base, catalog, and scripts
Inquiry is qualified
CRM records are created
Manager receives an AI summary when needed
Platform functionality
Teams control AI agents, channels, scenarios, knowledge, catalog data, answer quality, and workload from a unified dashboard.
Integrations
The platform creates leads, contacts, and deals automatically, synchronizes statuses, and gives sales teams structured context without manual copy-paste.
The CRM set is oriented to global and English-speaking markets. Additional integrations can be mapped to each enterprise stack.
Security and deployment
Sales Copilot runs on customer-controlled servers, private cloud, or a dedicated enterprise perimeter. Data is minimised before LLM use, while legal setup is adapted for European requirements.
Analytics and control
The dashboard tracks conversations, messages, channels, agents, time periods, team workload, token usage, and LLM budget in real time.
Business outcomes
These numbers should be read as pilot and typical scenario indicators. Actual impact depends on industry, channels, knowledge-base quality, and the current funnel.
| Manual handling / forms | Sales Copilot | |
|---|---|---|
| Conversion | 3-5% | 12-30% |
| First response | 17 hours | Instant |
| Dialogue completion | 21% | 70-90% |
| Processing cost | 100% baseline | about 5% |
| Qualification | Manual | Automatic |
| 24/7 coverage | No | Yes |
Best fit
Implementation
Demo and funnel analysis
Scenario design
Agent setup for the product
Channel and website connection
CRM integration
Pilot and launch
Ready to test the scenario on your funnel?
We will identify the first channels, CRM flows, and scenarios to automate, define where private infrastructure deployment is needed, and decide how to measure pilot results.
Try the agent right now: ask a question and learn the details about scenarios, channels, CRM, and pilot rollout.
Ready to answer questions about scenarios, channels, CRM, and pilot rollout.
Sales Copilot is an AI platform for sales automation and customer support automation in mid-market and enterprise companies. It holds conversations, qualifies leads, answers from knowledge, and creates CRM records.
Yes. The platform supports cloud and private AI deployment, including deployment on company servers and operation inside the enterprise perimeter.
Customer data, conversations, knowledge-base content, commercial information, handling scenarios, and CRM integration data can remain under company control.
It is a governed enterprise automation platform with multiple AI agents, a dashboard, analytics, CRM integrations, knowledge grounding, and deployment controls.
The platform can receive inquiries from messengers, web chat, websites, and other digital channels so the company can handle inbound demand through one scenario.
Sales Copilot can create leads, deals, contacts, and tasks, pass conversation history, store qualification data, and update CRM records according to configured rules.
Yes. AI agents answer using approved knowledge-base content, product catalogs, playbooks, policies, and commercial materials to reduce unsupported responses.
The platform hands the inquiry to an employee with conversation history, an AI summary, the detected need, and the recommended next best action.
Sales Copilot is built for companies with high inquiry volume, several communication channels, CRM workflows, and serious customer-data control requirements.
Teams can automate lead qualification, product or service selection, contact capture, budget and timeline clarification, deal creation, and manager preparation.
The platform can answer common questions, search the knowledge base, collect case details, classify requests, and escalate complex issues to a specialist.
A pilot usually tracks first response time, share of handled inquiries, conversion to lead or deal, first-line workload, and quality of handoff to the manager.
Timing depends on channels, CRM complexity, and knowledge-base readiness. A typical pilot starts with a limited scenario to prove value before scaling.
Yes. Teams can define scenarios, permissions, knowledge sources, handoff rules, and restrictions for customer data, commercial data, and CRM operations.
Yes. First-line automation, knowledge-base answers, and AI lead qualification can reduce manual workload, speed up inquiry handling, and lower the cost per contact.
Yes. Sales Copilot connects messengers, web chat, websites, and CRM so inquiries from different channels follow common rules and appear in shared analytics.
Yes. Sales Copilot fits into the existing CRM process, creates leads, deals, and tasks, passes conversation history, and preserves the team's operating model.
The AI agent responds immediately, clarifies need, budget, and timeline, recommends the right product or service, and hands the manager a structured qualified lead.
Yes. The solution is designed for long sales cycles, multiple buying stakeholders, high question volume, and enterprise requirements for data governance.
Answers are grounded in approved sources, scenarios, and limits. Teams can review dialogues, update the knowledge base, and track handling quality in analytics.
Yes. Catalog data can support recommendations, product selection, order clarification, and manager preparation for the next step in the sales process.
Teams usually prepare the channel list, CRM process description, knowledge base, common customer questions, handoff rules, and pilot success criteria.
Yes. The architecture can include anonymisation, controlled context sent to the LLM, audit logs, and deployment of components inside customer infrastructure.
Yes. The dashboard shows dialogues, channels, statuses, agents, team workload, handling quality, conversion, and other implementation metrics.