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AiEngineer.in
AI chatbots & lead capture

Chat and voice agents that answer tenants and qualify leads

Conversational agents that run on your website, SMS, email, and phone line, answer from your own leases and listing data, write qualified leads into your CRM as structured fields, and hand anything outside their rules to a person with the full thread attached.

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Quick answer

AI chatbots and lead capture from AiEngineer.in are chat and voice agents that answer tenant questions and qualify inbound leads on your website, SMS, and email. They are trained on your listings, leases, and policies, log every conversation to your CRM or PMS, and escalate anything outside their rules to a person.

The problem

Most enquiries arrive when nobody is at a desk

Tenant questions and inbound leads do not arrive between nine and five. They arrive at 21:40 on a Sunday, from a portal form, a text to the office mobile, and a voicemail — three channels, no shared history, and a queue that your team works through in the order it was found rather than the order it matters. The cost is rarely one dramatic failure. It is a steady leak of first responses that arrive a day late and questions answered differently depending on who picked them up.

  • Inbound portal leads sit unanswered overnight and get a generic reply the next morning, by which point the enquirer has toured with someone else
  • The same question — pet policy, notice period, how to pay rent, whether the deposit is refundable — is answered from memory, and two staff members give two different answers
  • After-hours calls go to voicemail with no triage, so a genuine emergency and a request for a spare fob key wait in the same queue
  • Lead details live in the body of an email rather than as fields, so nobody can filter for buyers who are pre-approved and looking within thirty days
  • Staff copy the same information three times: from the enquiry into the CRM, from the CRM into the calendar, and from the calendar into a follow-up note
What we build

Five parts, and the boring ones matter most

A conversational agent is easy to demonstrate and hard to trust. These are the components that decide whether it survives contact with real residents and real buyers.

A grounded knowledge base built from your own documents

The agent answers from your material, not from general knowledge about property. We ingest the sources that actually hold the answers, keep them versioned, and record which document each answer came from so a wrong answer can be traced to a wrong source and fixed at the source.

  • Lease templates and clause libraries, including the addenda that vary by property
  • House rules, pet and parking policies, notice periods, and payment methods
  • Live listing and availability data pulled from the PMS or MLS feed rather than typed into a prompt
  • Existing help-centre articles, welcome packs, and the canned replies your team already trusts

Refusal and escalation behaviour, defined before launch

The failure mode that damages trust is a confident wrong answer, so the agent is configured to decline. When a question falls outside the knowledge base, contradicts a source, or touches a topic on the do-not-answer list, it says it does not have that answer and routes the conversation on.

  • A written do-not-answer list: legal advice, eviction specifics, deposit disputes, rent negotiation, and anything your counsel adds
  • Escalation triggers on urgency keywords, repeated failure to resolve, negative sentiment, or an explicit request for a person
  • Handoff payload with full transcript, a short summary, the resident or lead record, and the reason for escalation
  • Out-of-hours routing that separates your emergency definition from everything that can wait for the morning

Lead qualification written as structured fields

Qualification is a script you approve, not an open-ended chat. The agent works through the questions that decide routing — timeline, budget, financing status, location, unit size, move-in date, whether they are working with an agent — and writes each answer to a named CRM field so downstream automation can act on it.

  • Question sets that branch by enquiry type: rental applicant, buyer, seller, or existing resident
  • Answers mapped to CRM fields and picklists you already use, not free-text notes
  • Duplicate detection against email and phone before a new record is created
  • Source and campaign attribution captured from the page or number the conversation started on

Resident self-service for the questions that repeat

For property management portfolios, the volume is in repeat operational questions rather than sales. The agent handles the recurring ones end to end where the data is available, and creates a properly formed record where it is not.

  • Balance, due date, and accepted payment methods read from the rent ledger
  • Maintenance intake that captures unit, category, access instructions, pets on site, and photos, then opens a ticket
  • Status checks on an existing work order, including the scheduled vendor window
  • Renewal, notice, and move-out questions answered from the resident's own lease dates

Conversation logging, review, and a tuning loop

Every conversation is stored, tagged, and reviewable. Launch is the start of the tuning cycle rather than the end of the project: unresolved conversations are the backlog for the next iteration.

  • Transcripts attached to the resident, lead, or unit record in your system
  • Automatic tagging of intent, resolution status, and escalation reason
  • A weekly queue of unanswered and low-confidence questions for your team to answer once, after which the agent knows it
  • Containment and escalation rates reported by channel and by intent
Channels

The same agent behaves differently on each channel

One knowledge base and one set of escalation rules, but the constraints are not identical. Scope usually starts with one channel and adds the next once the transcripts are clean.

  • Website chat

    Best for

    Prospective tenants and buyers browsing listings, plus residents looking for a policy answer before they call.

    Has the richest context available: the page the visitor is on, the unit they are viewing, and the referring campaign. Best channel for structured qualification because the visitor can be shown options rather than asked to type them.

  • SMS

    Best for

    Maintenance updates, rent reminders, showing confirmations, and re-engaging leads who went quiet.

    Highest read rate and the shortest tolerance for irrelevance. Message templates, quiet hours, and opt-out handling are configured per campaign, and consent state is checked before any outbound message is sent.

  • Email

    Best for

    Longer tenant queries, document requests, owner questions, and anything that needs an attachment or an audit trail.

    Threading matters more than speed. The agent replies in-thread, keeps the original subject, and attaches the summary to the same CRM or PMS record rather than opening a second conversation.

  • Voice

    Best for

    After-hours calls, overflow when the office line is busy, and callers who will not use a portal.

    Scoped last in most engagements. Voice raises the cost of a misunderstanding, so it launches with a narrower answer set, a lower escalation threshold, and a recorded transfer path to your on-call process.

How it ships

Nothing points at live tenant data until the behaviour is agreed

The risk in a conversational agent is not the model — it is letting it speak to residents before anyone has read what it says. Delivery is arranged to make that impossible.

  • Discovery on real conversations: we read a sample of your recent chats, emails, and call notes to find the actual question distribution rather than the one people assume.
  • A staging agent connected to sandbox or read-only data, so nothing can be written to a live tenant or lead record while behaviour is still being agreed.
  • Replay testing against your own historical enquiries, including the awkward ones — ambiguous, multi-part, angry, and out of scope — with expected outcomes written down before the run.
  • A soft launch on one channel and one property or lead source, with escalation set deliberately loose, then tightened as the transcripts justify it.
  • Handover with a runbook: how to change an answer, how to add a do-not-answer topic, how to pause the agent, and who to call when a channel provider has an outage.
Measurement

Measured against your baseline

We record your current numbers before launch and report against those. Every figure below is your own operational data, not a vendor benchmark or a model score.

  • 01

    Median and 90th-percentile first-response time per channel, recorded for the weeks before launch and compared with the same measure afterwards.

  • 02

    Containment rate: the share of conversations resolved without a human, split by intent, so a high headline number cannot hide failures on the intents that matter.

  • 03

    Escalation quality: how often an escalated conversation was correctly escalated, sampled and scored by your team rather than by the model.

  • 04

    Qualification completeness: the proportion of new leads arriving with every required field populated, compared with your current manual entry.

Honest limits

What this does not do

Worth reading before the audit call, because it changes what is worth scoping. If any of these are the outcome you need, say so and we will tell you what would actually get you there.

  • The agent does not make judgment calls on money or tenancy. Rent reductions, payment plans, lease breaks, and deposit deductions are prepared for a person, never granted in a conversation.
  • It is not an emergency service. Emergency keywords trigger an immediate route to your on-call process; the agent does not attempt to triage a fire, flood, or gas smell itself.
  • Answer quality is bounded by your documentation. Where a policy is unwritten or contradicts another source, the agent will decline rather than pick a side, and that gap becomes a task for your team.
  • Voice is materially harder than text. Accents, background noise, and interruptions all degrade accuracy, so voice launches narrow and expands only against measured transcripts.
Related services

What usually gets built alongside it

An agent that cannot read the ledger or open a work order is limited to describing your process rather than running any part of it.

AI CRM & PMS Integrations

Automation wired into the systems you already run, so records, tasks, and follow-ups stay accurate in one place.

Explore this service

Workflow Automation

The multi-step processes your team runs by hand — triaged, routed, chased, and reported without anyone rekeying data.

Explore this service

Frequently asked questions

Where do AI chat agents run?
Typically on your website, plus SMS and email, and a phone line when voice is in scope. Every channel shares the same knowledge base and escalation rules, so a tenant gets the same answer regardless of where they ask.
How do you stop the AI from inventing answers?
Agents answer from your own sources — leases, policies, listing data, help content — and are configured to say they do not know and hand off rather than guess. Out-of-scope topics are routed to a person with the full conversation attached.
What happens when a conversation needs a human?
The agent escalates on your rules: urgency keywords, sentiment, repeated failure to resolve, or an explicit request for a person. The handoff includes a transcript and a summary so your team does not restart the conversation.
Can the chatbot qualify leads, not just answer questions?
Yes. Qualification is a scripted set of questions you define — budget, timeline, location, financing status — and the answers are written to your CRM as structured fields so routing and follow-up can act on them automatically.

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