A Telegram bot for real estate investors
that alerts on new deals and collects diligence documents
Not every fund needs a full AI agent on day one. A Telegram bot that alerts the team to a new deal matching your criteria, collects diligence documents against a checklist, and lets an LP check a status without calling is often enough to stop the manual chasing, built and live in one to two weeks.
Why real estate investors and funds lose money today
Deal flow for an active investor or a small fund usually arrives the same way at every stage: a broker sends a listing, a sponsor forwards a deck, a contact mentions an off-market opportunity, and someone has to manually check each one against the fund’s actual criteria, size, location, asset type, before deciding whether it deserves a real look. That manual triage step is where a genuinely good deal can sit unread behind three others that never had a chance.
Diligence document collection suffers the same scatter. A deal moving forward needs financials, title documents, inspection reports, and these arrive from different sources in different formats, with no single place a deal lead can check to confirm what has and has not been received for a given opportunity.
The third gap is LP visibility. An investor who wants to know the current stage of a specific deal or the fund’s general status usually has to message someone directly and wait for a reply, which is a small interruption multiplied across every LP relationship the fund maintains.
A fourth, easy to overlook, is losing track of why a deal was passed on. Without a logged record of what criteria a deal failed, the same marginal opportunity can resurface months later and get re-evaluated from scratch, wasting the exact analyst time the original screening was supposed to save.
What we build for real estate investors and funds
A Telegram bot with one job done well: flag incoming deals against your written screening criteria and alert the team the moment something matches, collect diligence documents against a checklist specific to the deal type, and let an LP check a status without waiting for a reply. Every deal and document is logged with a timestamp, so a deal lead can see at a glance what matched, what is in diligence, and what is still missing.
Admins get notified the moment a deal matches criteria or a document arrives, through a separate admin channel, so nothing depends on someone remembering to check. Screening criteria and checklists are editable by your own team through simple bot commands, no developer needed for the routine updates that come with every shift in strategy.
Typical integrations: Telegram Bot API for the alert and intake flow, a lightweight database for deal and document tracking, and a CRM, deal tracker or Google Sheets export where your fund wants the data to live alongside other records.
The bot deliberately does not try to hold a conversation about fund performance or answer open-ended LP questions. It runs a fixed sequence: here is a deal that matched, here is what diligence still needs, here is your current status. That narrower scope keeps the build fast and the running cost close to zero.
The bot also gives a small team coverage it would not otherwise have: a deal that arrives late on a Friday from a broker working against someone else’s weekend deadline gets flagged the moment it matches criteria, rather than sitting until Monday morning when a genuinely good opportunity may have already moved to a fund that happened to check its inbox sooner.
What stays with humans
The bot never decides whether a deal is actually worth pursuing beyond the written criteria match, never answers an LP’s question about expected returns, and never represents a deal’s status as more advanced than it actually is. Every flagged deal still needs a human review before moving forward, and any LP question beyond a basic status check gets routed to a person.
Price and timeline
| Model | Price | What it covers | Timeline |
|---|---|---|---|
| Agency runs it | from $900 | We build, host and maintain the bot; criteria updates included for the first month | 1 to 2 weeks |
| Full control, handover-ready | from $1,530 | Same build, plus full source, hosting handover and a written runbook for your own team | 2 to 3 weeks |
Running cost is close to zero beyond hosting, since the bot runs fixed logic rather than a language model on every message.
Related
Pair this bot with a website for real estate investors for the LP-facing side, or step up to the full AI agent for real estate investors once LP FAQ and deal screening outgrow a fixed flow. The investor update AI agent covers recurring LP reporting as a separate, deeper layer. See the full package breakdown on the development service page, read how a fixed-flow bot with an admin-editable knowledge base holds up in production in the visa centre AI support case study, or get a written plan with a fixed price for your fund.
FAQ
What does a Telegram bot for a real estate fund cost?
A bot with deal alerts, document collection and LP status checks is about $900 to $1,500. Adding an admin panel with deal-tracker export typically moves it toward $1,500 to $4,000. We give the exact number in a written plan after a short brief.
How is this different from the full AI agent package?
This bot runs a fixed flow: flag a deal against criteria, collect a document, check a status. It does not hold a conversation with LPs about portfolio performance. The [AI agent for real estate investors](/solutions/ai-agent-for-real-estate-investors/) adds that FAQ layer handled by a language model.
Can LPs use it without installing anything new?
Yes, it runs inside Telegram, which many funds already use for informal communication. There is no separate app to install.
Who updates the screening criteria and checklists?
You, through admin commands we build in, no developer needed for routine updates. We only get involved again if the screening logic itself changes.
Can admins get notified the moment a deal matches our criteria?
Yes. The admin alert flow flags a new deal the moment it matches the criteria you set, so analyst attention goes to it immediately rather than at the next manual review of an inbox.