iAgentify — one AI workforce across every customer channel

Businesses that want to automate customer conversations run into the same wall — and iAgentify was built to remove it.

Fragmented tooling with no shared context

Chat, phone, email and social each need a different product, and none of them share state. A customer who asks a question on WhatsApp has to repeat it when they call. Every new channel is another vendor, another integration, and another place the business’s knowledge has to be re-entered and kept in sync.

Generic bots that don’t actually know the business

Most chatbots hallucinate, or fall back to “I’ll connect you to an agent” the moment a question gets specific. Without grounding in the company’s real documents and live data, a bot is a liability on the exact questions customers most want answered.

No path from conversation to outcome

Answering a question is the easy part. Booking the appointment, taking the order, capturing the qualified lead and billing for it is where off-the-shelf tools stop — leaving the business to pick up every conversation manually at precisely the point where value is created.

Language and market limits

Tools built for one language or one vertical do not transfer to a multi-market, multi-industry client base. A platform meant to serve many businesses at once has to be genuinely language- and industry-agnostic, not localised one deployment at a time.

iAgentify lets a business deploy AI agents across every customer channel from a single dashboard. Instead of stitching together a chatbot vendor, a call-centre tool, an email autoresponder and a booking system, a company configures one agent — its knowledge, tone, languages and tools — and iAgentify runs that same agent everywhere its customers already are. It is industry-agnostic and language-agnostic by design: the same engine powers a Spanish dental clinic booking appointments over voice, an e-commerce store recovering abandoned carts on WhatsApp, and a real-estate firm qualifying leads through a website widget — each with its own branding, knowledge base and rules.

We built it as a modular platform (NestJS backend, React dashboard, a LiveKit/SIP voice layer and a distributable web widget) organised around one idea: the agent is the unit of configuration, and every channel is a delivery surface for it.

Omnichannel by default

A single configured agent can be connected to any combination of channels, and the same agent brain serves all of them:

• WhatsApp — inbound conversations plus outbound campaigns (cart recovery, order updates, CRM marketing) with built-in opt-in, 24-hour-window and STOP-keyword safety enforcement.
• Voice — real-time AI phone agents over SIP/LiveKit, with answering-machine detection, caller-ID rotation and deterministic booking, reschedule and cancel flows.
• Email — an IMAP-polling email agent with a full inbox experience, HTML design templates and knowledge-grounded replies.
• Web chat widget — an embeddable, brand-customisable widget that drops into any website.
• Social / community manager — Instagram, Facebook and Telegram content and DM handling from the same configuration.
• Support chat — a two-tier system: an authenticated in-dashboard assistant, and a public lead-generation sales bot.

Grounded intelligence (RAG)

Agents answer from the client’s own knowledge — documents, FAQs and live data — through a retrieval pipeline with query expansion, LLM reranking, smart chunking and cross-lingual retrieval. A customer can ask in one language about content stored in another and still get a correct, cited answer. The platform is powered by the latest Claude and OpenAI models, chosen per task rather than fixed to one provider.

Conversations that complete transactions

Agents don’t just talk — they act, through code-driven tools rather than LLM-guessed calls, so an action either runs deterministically or does not run at all:

• Appointment booking — Google Calendar sync with hourly drift reconciliation.
• E-commerce & WooCommerce — product search, order status, cart recovery and revenue attribution.
• Lead capture — consent handling and CRM storage built into the flow.
• Support & hand-off — ticketing and a clean escalation path to a human.
• External API calls — companies connect their own REST APIs so the agent can act on live business systems.

Multi-tenant, billing-ready SaaS

The platform ships as a full commercial product: multi-tenant company isolation, subscription tiers with per-plan feature and language gating (for example 1 / 3 / unlimited languages), add-on channels, Stripe and Redsys billing with card tokenisation and renewals, a phone-number inventory with margin control, and usage-based cost accounting that never exposes raw provider costs to the customer.

How it works

1. Configure once — upload knowledge, set the agent’s languages, tone and branding, and enable the tools it is allowed to use.
2. Connect channels — attach WhatsApp, a phone number, email, the web widget or social accounts. The same agent brain serves every one.
3. Go live — customers talk to the agent on their channel of choice; it answers from the knowledge base and completes actions.
4. Measure & bill — analytics, reports and transaction logs track every conversation and outcome; subscription and usage billing run automatically.

iAgentify is a newly launched product, not yet generally available — so rather than quote production metrics it has not yet earned, here is its real, current traction and the outcomes it is built to deliver.

• Over 100 businesses on the waitlist ahead of general availability.
• Designed and validated across 20+ industry verticals from a single configuration model.
• Every conversation can complete an action — booking, order, lead capture or escalation — not just reply.
• Cross-lingual by design: customers are answered in their language regardless of the source document’s language.
• One configuration replaces separate chatbot, call-centre, email and social tools, each of which lose context between them.
• 24/7 coverage across every channel and time zone.

Why iAgentify

• One agent, every channel — configure once, deploy across voice, chat, email, WhatsApp and social; context and knowledge stay consistent everywhere.
• It knows your business — grounded, cited answers from your own knowledge, in any language, built to reject confident-but-wrong replies.
• It closes the loop — books, sells, captures and escalates through code-driven tools; an action runs deterministically or not at all.
• Built to sell — multi-tenant, plan-gated and billing-ready out of the box.
• Any industry, any market — the same engine transfers to a new sector or language by configuration, not a rebuild.