Conversational AI — Chat, Voice & Receptionist

A conversation that understands, then resolves

Conversational AI answers the moment someone reaches out — on chat, on a call, or at the front desk. It listens to what they actually need, understands intent and context from your own knowledge, and resolves the request or routes it to the right human fast. MarkAge360 builds grounded, guard-railed conversation systems — chat agents, voice AI, an always-on receptionist, FAQ answering, intent routing, qualification, and human handoff delivered as one workflow that keeps response instant and customers heard.

We build agents like this

Meet the AI Concierge

A concierge that answers, qualifies, books, and hands off to your team — 24/7.

Conversation approach

We turn an open-ended message into a resolved request.

We build conversations that work the way people expect — the assistant listens to what someone actually wants, understands intent and context from your own knowledge, and resolves the request or routes it to the right human. Listen, understand, and resolve run as one workflow, so replies stay instant, intent is never misread, and every conversation lands a clear outcome.

Listen

The assistant greets every message or call the instant it lands — chat, voice, or front-desk — capturing exactly what the person asked across any channel and language.

Understand

Intent, sentiment, and context are read in real time, then matched against your own knowledge so the reply is accurate, on-brand, and grounded in a citable source — never a hallucination.

Resolve

The request is answered, the task is completed, or the conversation is handed to the right person with full context — with every exchange measured so the system keeps getting sharper.

LISTEN

Selected work

From first hello to resolution, wemake every conversation feel effortless.

Knowledge grounding, intent detection, grounded replies, voice and receptionist flows, escalation rules, and conversation reporting stay connected while the work scrolls past.

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Knowledge Base & Answer Grounding

Docs, FAQs, policies, and past conversations become a clean, retrievable source of truth so every reply the assistant gives is accurate and citable.

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Intent Detection, Tagging & Routing

Intent, sentiment, priority, and language are read on the first message, then each conversation is tagged and routed to the right flow or person automatically.

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Chat, Voice & Receptionist Flows

Grounded chat replies, natural voice answering, and an always-on receptionist resolve the repetitive questions before a person is ever needed.

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Escalation Rules & Human Handoff

Clear logic for when the assistant steps back — sensitive, complex, or low-confidence cases are handed to the right person with full conversation context.

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CSAT, Resolution & Conversation Reporting

Resolution rate, containment, CSAT, and handoff quality are reported back, so the assistant and the knowledge base keep getting sharper.

Encardio Rite case study Infrastructure · B2B Encardio Rite Encardio Rite had decades of geotechnical engineering authority the internet could barely see. MarkAge360 built an integrated SEO, content and executive-branding system that grew monthly organic traffic from around 800 to as many as 70,000, with page-one visibility across five markets: India, the USA, the UK, the UAE and Australia. Apple Switchers Campaign case study Consumer · Brand campaign Apple Switchers Campaign Apple wanted non-Apple users across India's metros to reconsider iPhone. MarkAge360 ran a video-led brand campaign that showed what the Apple experience offers and how easy switching can be. Acton Service Centre case study Automotive Marketing Acton Service Centre Five years running every marketing channel for a West London MOT and service garage, and building the software behind it. Organic traffic up 2,400%, revenue up 900%, and a first party customer database past 100,000. Clifford Harris & Co case study Legal · Solicitors Clifford Harris & Co Clifford Harris & Co has advised businesses and families from London's West End since 1957, but its digital presence did not carry that standing. MarkAge360 rebuilt the firm online: a sharper brand expression, a website organised around how clients actually choose a solicitor, and search foundations written into every practice area. Ferreira's case study Commercial · Tile Retail Ferreira's Ferreira's sells luxury Italian porcelain from a showroom on West End Lane in West Hampstead, and designs, supplies and fits it too. We ran their marketing as one system for two years: identity, a bathroom-led catalogue, search, and paid media built around a product people research for months and buy in person. Institut Français India case study Higher Education Institut Français India MarkAge360's demand-generation system for Institut Français India: paid media, education affiliates, and lifecycle messaging run as one connected student-acquisition engine. It beat the Choose France lead target by 47% and returned an 8:1 ROI, with ₹8 back for every ₹1 spent. OJO Life case study Wellness · Subscription OJO Life OJO Life is a Delhi NCR wellness and meal-subscription brand that had spent two years stuck against its revenue ceiling. MarkAge360 built one connected wellness marketing growth system. Study in India · GMAC case study Higher Education Study in India · GMAC GMAC's first mandate to MarkAge360: a 90-day, 00,000 global campaign to move prospective students across 40+ countries. The GMAT Exam by GMAC case study Higher Education / Test Prep The GMAT Exam by GMAC Seven years, four regional mandates, 400,000+ leads across 20+ countries — work that began at King Crescent and moved to MarkAge360 at founding. What began as a one-year Middle East & Africa test grew into GMAC’s four-region growth partnership, every expansion earned on delivered numbers. Aakash iACST case study Education / Test Prep Aakash iACST Aakash's iACST is an always-on scholarship test. The mandate: hit the lead target for the August flight and cut cost at every stage. MarkAge360 delivered a 12% lead-to-conversion rate, with cost per lead down 15% and cost per conversion down 28%. TOEFL Olympiad case study Education / Study Abroad TOEFL Olympiad A two-phase, full-funnel campaign that introduced the TOEFL Olympiad to India's Gen Z — turning study-abroad ambition into reach, a qualified database, and registrations that cleared every target set. Rite Geosystems case study Geotechnical · B2B Rite Geosystems Rite Geosystems had deep expertise in geotechnical instrumentation and infrastructure monitoring that the US market could barely find online. MarkAge360 built an integrated system across US-focused SEO, engineering content, website optimisation and social media, making the brand discoverable for the products, applications and engineering problems central to its market.

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Chat, voice & messaging platforms

  • Zendesk
  • Intercom
  • Freshdesk
  • HubSpot
  • Salesforce
  • Twilio

Conversational AI FAQ

Questions before youput AI on the front line

Straight answers on grounding, channels, and the outcomes a conversation system actually changes.

What does a conversational AI system from MarkAge360 include?

We build a complete conversation layer, not a single chat widget. That means a grounded knowledge base built from your docs and FAQs, intent detection and routing, chat agents, voice AI for phone calls, an always-on receptionist for the front desk, qualification and booking flows, and clear human handoff rules. It ships as one workflow so a question can arrive on any channel and still get the same accurate answer.

How is this different from a basic rule-based chatbot?

A scripted bot only follows decision trees you wrote in advance, so anything off-script dead-ends or loops. Our systems read intent, sentiment, and context in real time and answer from your own knowledge, so they handle questions you never explicitly programmed. When a request is sensitive or low-confidence, the conversation is handed to the right person with full context instead of frustrating the customer.

How do you keep the AI accurate and prevent hallucinations?

Every reply is grounded in your own approved sources — documents, policies, calendars, and past conversations — rather than the model guessing. We add guard-rails so the assistant stays on-brand and within scope, cites where an answer came from, and escalates instead of inventing one when it is not confident. If the source does not contain the answer, it says so and routes to a human.

Which channels and platforms do you support?

We deploy across website chat, voice and phone, and front-desk reception, and we connect into the tools you already run — your CRM, calendar, helpdesk, and knowledge base. We are platform-agnostic and choose the conversation, voice, and orchestration stack that fits your data and compliance needs rather than locking you into one vendor. The result is one assistant answering consistently wherever customers reach you.

How is a conversational AI project priced and how long does it take?

Pricing is scoped to the number of channels, the depth of your knowledge base, and the integrations and handoff logic involved, so we quote after a short discovery rather than from a fixed menu. A focused single-channel assistant can go live in a few weeks, while a full chat, voice, and receptionist build with deep CRM and booking integration takes longer. We share a clear timeline and milestones before any build starts.

How do you measure whether it is working?

We instrument the conversation from day one and report on the metrics that map to outcomes — self-serve and auto-resolution rates, response time, intent accuracy, CSAT, and how many qualified conversations and bookings the assistant produced. Every exchange is logged and reviewed so we can tune grounding and routing over time. You see exactly what the system resolved on its own versus what it passed to your team.