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AllsWeb

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New · Custom AI Agents

AI agents that answer, qualify and act — 24/7.

We build custom AI agents on your data, integrated with your tools, deployed on WhatsApp, web chat, email and voice. Senior engineers ship the first version in 5–10 days — you keep the source code, the prompts and the keys.

Get a free scope & quoteTalk to us on WhatsApp

From $300 · Source code & data yours · 5–10 day delivery

24/7

Always-on coverage

50+

Languages out-of-the-box

60–80%

Typical ticket deflection

5–10d

First version delivery

What we build

Six AI agents teams ask us for most

Every agent is custom — these are the shapes we ship most often. Mix and match capabilities, or describe your own.

  • 24/7 Customer Support Agent

    Answers product, order and policy questions instantly on WhatsApp, web chat and email. Cites your help-center, escalates to humans when stuck.

    • WhatsApp
    • Web chat
    • Email

  • Lead Qualification Agent

    Greets every website visitor, asks the right qualifying questions, books a meeting on your calendar and writes the lead into your CRM.

    • Sales
    • CRM
    • Calendly

  • Internal Ops Agent

    Sits inside Slack or Teams. Answers HR / policy / runbook questions, files JIRA tickets, looks up dashboards and runs approved workflows.

    • Slack
    • Internal
    • RAG

  • Voice AI Agent

    Takes inbound calls or runs outbound campaigns with natural voice. Books appointments, confirms orders, surveys customers — handover to human on demand.

    • Inbound
    • Outbound
    • Voice

  • E-commerce Concierge

    Recommends products, recovers abandoned carts on WhatsApp, answers shipping questions and processes returns inside Shopify / WooCommerce.

    • Shopify
    • WhatsApp
    • Recovery

  • Custom Agentic Workflow

    A multi-step agent that reads a contract, drafts a reply, schedules the follow-up and updates three systems — chained tools, real autonomy.

    • Multi-step
    • Tools
    • Autonomy

How it works

From your data to a live agent in days

  1. 01

    Discovery

    We map your channels, top intents, knowledge sources and tool integrations. You leave with a one-page scope and a fixed quote.

  2. 02

    Build

    We index your knowledge, write the system prompt, wire tool-use, and stand up the chat surface. Reviewable progress every 2–3 days.

  3. 03

    Pilot

    The agent goes live on one channel with a kill-switch. We watch every conversation, tighten the prompt, and benchmark deflection rate.

  4. 04

    Scale

    Add channels, languages, deeper tool integrations and proactive workflows. Optional managed plan keeps it improving forever.

What's inside every agent

The stack we ship — production-grade by default

Not a glorified chatbot. A full agent platform with retrieval, tool-use, guardrails, observability and human handover.

  • Frontier LLMs, model-agnostic

    Claude 4.7, GPT-5 class, Gemini, Llama 3 — we route each query to the model with the best cost / quality fit and swap providers without rewrites.

  • Private RAG knowledge base

    Your docs, websites, PDFs and tickets indexed into a private pgvector / Pinecone store. Answers are grounded in your data and cite the source.

  • Tool-use & MCP integrations

    Native function-calling into Stripe, HubSpot, Calendly, Supabase, Sheets — plus MCP servers for anything custom. The agent acts, not just chats.

  • Guardrails & human handover

    Output validators, refusal policies, PII redaction and seamless escalation to a human in your existing helpdesk — with the full context attached.

  • Omnichannel deploy

    WhatsApp Business API, web widget, email, Telegram, Messenger, Instagram, voice and your own apps via SDK — one agent brain, every surface.

  • Observability built-in

    Every conversation logged. CSAT scores, deflection rate, escalation reasons and token spend on one dashboard so you can keep improving.

Why not a chatbot

Rule-based chatbot vs. an AllsWeb AI agent

CapabilityOld chatbotAllsWeb AI agent
Understands natural language—Yes
Answers from your private knowledge base (RAG)—Yes
Takes actions in your tools (CRM, payment, calendar)—Yes
Multi-language out of the box—Yes
Escalates to a human with full contextSometimesYes
Improves itself from every conversation—Yes
You own the source code & data—Yes

Ready to put an AI agent in front of your customers?

Send us a one-paragraph brief — channels, top intents, tools to integrate. We'll come back within 24 hours with a fixed scope, quote and delivery date.

Start a projectSee AI automation solutions

Senior human engineer signs off every release.

AI agent FAQ

Everything we're asked before kicking off an AI agent project. Missing something? Ask us on WhatsApp.

What is an AI agent — how is it different from a chatbot?
A traditional chatbot follows a fixed decision tree. An AI agent uses a large language model that understands intent in natural language, draws on your private knowledge base, and can take real actions — book a meeting, create a ticket, look up an order, qualify a lead — by calling your existing tools through APIs. It is conversational, contextual, and goal-driven.
Which channels do AllsWeb AI agents work on?
WhatsApp Business API, your website chat widget, email auto-reply, Telegram, Messenger, Instagram DMs, voice (inbound + outbound), and inside your own mobile or web app via a drop-in SDK. The same agent brain serves every channel — train once, deploy everywhere.
Do you train the agent on my own data?
Yes. We index your docs, help-center, product catalog, past tickets, PDFs, sheets and websites into a private vector store. The agent retrieves only from your knowledge base (RAG), cites its sources, and refuses to answer outside scope — no hallucinated answers about competitors.
Which LLM do you use under the hood?
We pick the model that fits the job — Claude 4.7, GPT-5 class, Gemini, Llama, or a fine-tuned open-source model on your own GPUs. You stay model-agnostic, so you can swap providers later without rebuilding the agent. We also route easy questions to cheaper models and hard ones to frontier models to keep cost down.
Will it integrate with my CRM, helpdesk and existing tools?
Yes — natively with Stripe, Razorpay, HubSpot, Salesforce, Zoho, Freshdesk, Zendesk, Intercom, Notion, Google Sheets, Calendly, Shopify, WooCommerce, Supabase / Postgres, and anything with a REST or GraphQL API. If your tool has no public API, we automate it through n8n / Make / Zapier or a small custom connector.
How do you stop the agent from saying something wrong?
Three guardrails. (1) Retrieval-grounded answers with source citations. (2) Output validators — refusal templates for billing, legal and medical queries we know we should not answer. (3) Human-in-the-loop — anything below a confidence threshold gets escalated to a real agent with the full conversation context attached. Every reply is logged for audit.
Who owns the agent and the data?
You. The agent runs in your cloud accounts (Supabase / Postgres + your chosen LLM provider) or in our hosted environment with a written data-processing agreement. You get the source code, the prompts, the system architecture diagram and the keys. No vendor lock-in.
How fast can you ship the first version?
A focused single-channel agent (e.g. WhatsApp support for one product) ships in 5–10 working days. Multi-channel agents with CRM integration and human-handover typically ship in 2–4 weeks. We deliver in slices — your first agent goes live before we add the next channel.
How is it priced?
A one-time build fee from $300 (custom solution floor) plus monthly hosting + LLM token usage at cost. Larger deployments — multi-language, multi-tenant, voice — are quoted per scope. There is no per-conversation markup; you pay the model provider directly.
Can the agent speak my customers’ language?
Yes. Most modern LLMs handle 50+ languages natively, including Hindi, Hinglish, Spanish, Arabic, French, Portuguese, Bahasa, Vietnamese and Mandarin. The same agent detects the visitor language and replies in it.