Enterprise AI agents & chatbots that take action.
AI chatbots and autonomous action agents for customer service, sales, and business automation. English and Arabic NLP. Graph ML that understands your business relationships — not just keyword matching. An agent framework that takes action instead of stalling at “I’ll escalate this”. 21-day deployment, not 21 months. From $299/month.
The pattern repeats everywhere. We built BroadNet AI to break it.
Generic responses that hallucinate
Most chatbots treat your business like every other business — generic answers, made-up policies, and the classic “I’m sorry, I don’t understand” loop.
Data privacy nightmares
Sensitive customer and operational data sent to opaque third-party clouds. Compliance teams say no. Customers churn the moment they find out.
Hidden costs that compound
Per-query fees, training charges, integration consulting. A pilot that started under budget becomes a recurring six-figure line item.
Slow, brittle performance
Network timeouts on the calls that matter. The AI “thinks” while your customer is already typing the next message.
Integration that never ends
Six-month implementation programmes that finish after the business need has already moved on. We’ve all seen this slide.
Dashboards, not outcomes
Engagement charts that go up while resolution rates stay flat. No measurable business impact, just a more expensive support queue.
Six engineering decisions that change everything downstream.
Graph ML that understands your business
Traditional retrieval treats your data as isolated chunks. BroadNet AI represents your customers, products, processes and policies as a connected graph — so the model reasons across relationships, not against them. The result is answers that sound like they came from someone who actually works at your company.
Agent Framework that takes action
Autonomous agents with persistent memory, tool use through MCP, and multi-agent orchestration. They don’t just respond — they open tickets, update records, schedule appointments, draft proposals, and hand off to humans when policy says they should.
A knowledge engine that audits itself
Our proprietary small language model continuously scans your knowledge base for accuracy gaps, contradictions, and missing coverage — proactively at training time and reactively in production. Most platforms ship a chatbot. We ship the QA function that keeps it honest.
Voice, chat and vision — all native
Voice agents for phone lines, chat across every channel your customers actually use, vision for documents, screenshots, and ID verification. One platform, one knowledge graph, one set of guardrails.
Full data sovereignty
SaaS, private cloud, on-premise, air-gapped, regional residency — pick the model that fits your compliance posture, not the one that fits the vendor’s margins. Same platform, same capabilities, every deployment topology.
21-day deployment
Most enterprise AI rollouts are measured in quarters. Ours are measured in weeks. From kickoff to a working production deployment in 21 days — because the platform was engineered for that timeline, not retrofitted into it.
Watch a model resolve a ticket — in the customer's language.
Intent detection, a live tool call, a RAG lookup, and a resolved answer — in Arabic and English, from one conversational model. Below is a redacted, illustrative transcript.
- Customer
- Tool / RAG call
- AI agent
Illustrative example — a redacted sample transcript, not a live customer session.
Six layers, one coherent system.
Each layer is engineered to make the next one safer, faster, and more accurate. Nothing is bolted on. Nothing depends on a vendor we don’t control.
Channels
Voice · Chat · WhatsApp · Teams · Slack · Email · Web · Mobile
Agent Framework
Persistent memory · MCP tools · multi-agent orchestration · human-in-the-loop escalation
Graph ML reasoning
Entity-relationship graph over customers, products, policies, transactions — built from your sources, not the public web
Knowledge engine
Continuous KB quality auditing · gap detection · contradiction surfacing · ground-truth versioning
Safety & guardrails
Validated against OWASP LLM Top 10, NIST AI RMF and red-team frameworks · prompt-injection defence · output policy enforcement
Sovereignty layer
Deploy SaaS, private cloud, on-prem, or air-gapped · regional residency · RBAC · WORM logging available
Designed for the work that moves the business.
Customer support that resolves
Front-line agents that close tickets — not just escalate them.
- First-response automation and FAQ deflection, available 24/7
- Reasons over policy, account state, and history together
- Direct handoff to a human on the cases that need one
E-commerce sales that convert
A shopping assistant that knows your catalog and closes the sale.
- Product recommendations grounded in your real inventory
- Cart-recovery conversations, order status, and returns
- Natural upsell and cross-sell in the flow of the chat
Internal operations that scale
Tier-1 answers for the teams that keep the business running.
- HR FAQ automation — policy, benefits, and leave questions
- IT support tier 1 and internal knowledge lookup
- Employee onboarding workflows, guided end to end
Lead qualification that never sleeps
Every inbound enquiry scored, qualified, and routed — instantly.
- Inbound lead scoring and qualification questions
- Calendar booking straight into your team's diary
- Qualified leads handed to sales with full context
Deployed across regulated and high-stakes industries.
Healthcare
Patient scheduling, policy questions, intake workflows — with HIPAA BAA support and on-prem deployment options.
Financial Services
Client servicing, document review, advisor coaching — with WORM-capable logging and supervisory recordkeeping.
Manufacturing
Field technician support, equipment knowledge, vendor-specific procedures — even when the terminology only exists inside your factory.
Retail & E-commerce
Pre-sale guidance, order-state queries, returns triage — across every channel your customers already use.
Government & Public Sector
Citizen services, multilingual access, full data residency. Air-gapped deployments available for sensitive contexts.
Telecom & CPaaS
Front-line CX agents and back-office automation for telecom and CPaaS providers — a natural pair with the rest of the BroadNet stack.
Same platform. Four ways to deploy it.
Sovereignty should be a deployment choice, not a feature downgrade. Every BroadNet AI capability ships in every topology.
SaaS
BroadNet-hosted, regional residency by region. Fastest time-to-value when sovereignty isn’t a constraint.
Private cloud
Deploy inside your AWS, Azure or GCP tenancy. Your VPC, your keys, our platform.
On-premise
Behind your firewall, in your data centre. Full control over data, models, and execution.
Air-gapped
For environments where no outbound network is acceptable. Same platform, sovereign operation.
Enterprise-grade security & compliance
Built to answer the hard ones.
Most chatbots retrieve chunks of text and ask a model to summarise them. BroadNet AI builds a graph over your customers, products, processes and policies, then reasons over relationships — not isolated paragraphs. That structural difference is why it gives answers that feel like they came from inside your company, not a generic SaaS template.
Yes — that’s the design point, not a marketing line. The platform was engineered for a 21-day implementation: pre-built connectors for common enterprise systems, a managed migration of your existing knowledge base, automated quality auditing during training, and a delivery team that runs the project end-to-end.
SaaS, private cloud (AWS / Azure / GCP), on-premise inside your data centre, and air-gapped for environments where no outbound network is acceptable. Capability parity across all four — sovereignty is a deployment choice, not a feature downgrade.
In on-prem and air-gapped modes your data never leaves your perimeter. In SaaS and private cloud you choose the residency region, and we operate with role-based access controls, audit logging, and (where required) WORM-capable supervisory recordkeeping. GDPR right-to-be-forgotten tooling is built in.
CRM, helpdesk, ITSM, communication tools (Teams, Slack, WhatsApp), document repositories, identity providers, and most enterprise systems via secure APIs. The Agent Framework speaks MCP, so any system that exposes an MCP server is reachable as a tool.
A proprietary small language model audits your knowledge base continuously — surfacing coverage gaps, contradictions and stale content. It runs at training time and reactively in production. This is the “QA function” that most platforms simply leave to the customer.
Every deployment is tested against the OWASP LLM Top 10 and aligned to the NIST AI RMF. Prompt-injection defence, output policy enforcement, tool-use boundaries, and red-team validation are part of the standard delivery.
English and Arabic NLP with enterprise-grade training — optimized for MENA business contexts, including formal Arabic, business terminology, and regulatory references. Additional languages are supported on request, with bidirectional rendering and locale-specific tone built in.
broadnet.ai is the dedicated product site for BroadNet AI — deep technical documentation, the Knowledge Engine, Agent Framework, Integrations, Security, industry solutions, services, the AI Readiness Toolkit, and the ROI calculator. This page on broadnet.me is the overview; visit broadnet.ai for the full platform.
Question not here? Ask our engineering team
Infrastructure engineered since 2003.
The same platform that carries 300M+ messages a day, available as building blocks for your stack.
Deploy enterprise AI in 21 days.
Bring a real workflow to the demo. We’ll show you the platform answering against it in real time — with your data, your policies, your channels. No slideware.
21-day deployment · SOC 2 · ISO 27001 · from $299/month
Resources
BroadNet AI datasheet