How chatbots automate everyday work
Turn repetitive tasks into conversations that run themselves — from first question to finished action.
Answer & guide
An employee asks “How many vacation days do I have?” The chatbot reads your HR handbook, gives the answer, and offers to open a leave request — all in one chat.
Connect & update systems
When someone confirms a booking or approves a form, the chatbot can update your calendar, ticketing tool, or spreadsheet automatically — no copy-paste between apps.
Hand off when needed
Complex or sensitive cases go to the right person with full context. Your team sees what was already discussed, so nobody repeats themselves.
Workflow automation means the chatbot does not just talk — it completes steps across your business tools. That is how one conversation can replace a chain of emails, forms, and manual data entry.
Tools, skills & connections — explained simply
Three building blocks that make your chatbot useful beyond small talk — no coding required.
Tools — things the chatbot can do
Tools are actions your chatbot can take: search the web, look up a document, send an email, create a calendar event, or run a calculation.
You pick the tools that match your process — like giving an assistant access to specific apps. Each tool has a clear purpose your team can understand at a glance.
Skills — how the chatbot should behave
Skills are instructions that shape personality and expertise: “You are an HR assistant,” “Always cite the employee handbook,” or “Be concise and friendly.”
Skills let you create specialized assistants for different departments — onboarding, IT support, sales — without building separate products.
MCP servers — plug into your software
MCP servers (Model Context Protocol) are secure connectors that let the chatbot talk to your existing business systems — CRM, help desk, Google Drive, databases, and more.
Think of them as standardized power outlets: one standard way to connect many tools, so your chatbot stays up to date as your stack grows.
Together: Skills define who the assistant is. Tools define what it can do. MCP servers define where it gets data and sends results. NetBrain lets you mix and match all three — so a manager in HR and an employee in support can each get the right assistant without IT rebuilding everything from scratch.
Platform capabilities built for production AI agents
Five pillars that power trustworthy chatbots and voice agents — from grounded answers to secure deployment.
RAG for grounded answers
Retrieve from your knowledge bases, docs, and calendars so every response stays factual and on-brand.
Skill orchestration
Chain specialized skills into multi-step workflows — booking, routing, CRM updates — without human handoffs.
Voice & IVR support
Low-latency telephony with barge-in, SIP integration, and natural voice for call centers and phone support.
White-label branding
Your logo, colors, and domain — plus multi-tenant portals for agencies and reseller programs.
On-prem & private cloud
Keep data in your infrastructure with isolation, encryption, and compliance-ready deployment options.
White-label AI agents your clients will trust
AGENCY & RESELLER READY
Rebrand the full platform — chat, voice, workflows, and admin — with your logo, colors, and domain. Manage tenants, set pricing, and deliver AI automation under your own product name.
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Your logo, colors, and custom domain
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Client workspaces with controlled access (reviewers vs editors)
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Approvals as tasks: review → changes → approve, in stages
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Reusable templates across clients and campaigns
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Everything in one place: briefs, drafts, comments, and history
How it works
Get started in three straightforward steps — no engineering degree required.
1. Connect your data
Ingest knowledge bases, documents, FAQs, and event calendars. NetBrain indexes content for RAG-powered retrieval.
2. Design skills & flows
Choose skills and tools that match your process — like onboarding checklists or IT ticket routing — and chain them into automated workflows.
3. Deploy anywhere
Ship on web, mobile, voice/IVR, internal tools, or on-premise. White-label for each client or business unit.
Works with the AI providers you already trust
NetBrain is model- and provider-agnostic — switch or combine AI engines without rebuilding your chatbots.
Different teams prefer different AI brands. Some need the latest OpenAI model; others require Anthropic, Google, or an open-source option on their own servers. NetBrain does not lock you in. You choose the provider — or use several at once for different tasks — and change later if pricing, performance, or policy requirements shift.
OpenAI
GPT family models for general conversation, reasoning, and tool use.
Anthropic
Claude models known for long documents and careful, helpful responses.
Google Gemini
Multimodal models from Google DeepMind for text, images, and search.
Meta Llama
Open models you can run on your own infrastructure for full control.
Microsoft Azure
Enterprise-grade OpenAI and other models inside your Azure tenant.
xAI Grok
Grok models with real-time information capabilities.
Mistral AI
Efficient European models for speed and cost-sensitive workloads.
DeepSeek & more
Additional providers and open-weight models as the AI landscape evolves.
Your chatbot configuration — skills, tools, workflows, and branding — stays the same when you change models. That freedom protects your investment and lets you adopt better AI as it becomes available.
NetBrain is model- and provider-agnostic. Third-party AI services are subject to their own terms and privacy policies.
All product names, logos, and brands are property of their respective owners. OpenAI, ChatGPT, Anthropic, Claude, Google, Gemini, Meta, Llama, Microsoft, Azure, xAI, Grok, Mistral AI, and DeepSeek are trademarks of their respective companies. Use of these names does not imply endorsement, sponsorship, or affiliation with NetBrain.ai.
Your data stays yours
Privacy and control built in — especially important for HR, legal, and regulated industries.
Employees share sensitive information with HR and internal tools every day. NetBrain is designed so you decide where conversations and documents live — not a single AI vendor.
- On-premise or private cloud — run the platform inside your network so data never leaves your infrastructure
- Tenant isolation — separate workspaces for departments, clients, or business units
- Encryption & audit trails — track who accessed what, aligned with SOC 2 and GDPR expectations
- Bring your own keys — connect to AI providers with your accounts and billing
- Grounded answers — the chatbot cites your approved documents instead of inventing facts
What this means for non-technical teams:
You get the productivity of modern AI without handing employee records, customer data, or internal policies to an unknown third-party app. IT and compliance teams can review exactly which tools and data sources each chatbot can reach.
Because NetBrain is provider-agnostic, you can also choose AI models hosted in regions or environments that match your policy — including models that run entirely on your own servers with no external API calls.
Bottom line: faster self-service for staff and customers, with guardrails your organization controls.
Why teams choose NetBrain for AI agents
Improved customer service
Resolve FAQs and complex inquiries 24/7 with grounded answers and seamless handoff to humans when needed.
Data sovereignty
Run on-premise or private cloud so sensitive data never leaves your infrastructure.
Compliance-ready
Encryption, tenant isolation, audit logs, and controls aligned with SOC 2 and GDPR expectations.
Faster time to market
Pre-built skills, workflow templates, and white-label portals help you launch in days, not months.
Workflow automation
Chain skills into end-to-end processes — registration, ticketing, scheduling — without manual steps.
100+ languages
Serve global audiences with multilingual chat and voice from a single platform.
Built for speed and scale
24
HOUR SETUP
100+
LANGUAGES
∞
SKILL COMBINATIONS