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AI Lead Qualification Agent for Financial Services
Prospective clients are asked the right fact-finding questions and scored, without the agent ever giving financial advice.
Advisers often spend the whole first call collecting basic facts before they know whether a prospect is a fit. This agent runs that first fact-finding conversation for you. It records the service needed and the prospect's circumstances, tells likely clients which documents to prepare from your checklist, and scores fit against your criteria. It never gives regulated financial advice.
- First fact-find completed before an adviser picks up
- Likely clients told exactly which documents to prepare
- Advice requests declined and passed to a qualified adviser
$4,900
20–30 working days
Optional maintenance $249/mo
What it is
AI Lead Qualification Agent for Financial Services runs the first fact-finding conversation with prospective clients, records which service they need and their circumstances, lists the documents your process asks for, and scores fit against your criteria. It never gives regulated advice.
Why businesses buy it
In financial services, adviser time is your most valuable resource, and spending it on unsuitable prospects or missing paperwork is costly. Slow responses also send good prospects to competitors. This agent gathers the facts, checks fit against your acceptance criteria and prepares clients for a productive first meeting, while keeping firmly to the advice boundary your compliance team expects. Every conversation is recorded in your own systems. The criteria, checklist and connected systems are written on the Scope Card before you order.
Problems this solves
Advisers spend initial meetings gathering basic facts
The agent runs the first fact-finding conversation with prospective clients. It records which service they need and their circumstances, so the first adviser meeting starts further along.
Clients arrive at meetings without the documents you need
During the conversation it lists the documents your process asks for. Prospects know what to bring, and your team spends less time chasing paperwork afterwards.
Firms worry automated intake will stray into regulated advice
The agent never gives regulated advice, and it works only from material you approve. Questions that need an adviser are passed to one, with the fact-find attached.
Advisers spend time on clients who fall outside their services
Each prospect is scored for fit against your criteria using the Financial Services workflow template. Poor-fit enquiries can be declined politely or referred on, following your rules.
A good fit if
Advisers or account managers spend their first call with every prospect collecting the same basic facts before they can tell whether the client fits.
You have clear acceptance criteria, for example the services you offer, the client types you take and any minimum engagement size.
New clients must supply documents before work starts, and you want them told exactly what to prepare from your own checklist.
You keep client records in a CRM, document management system or client portal, and want every enquiry logged there with its reasoning.
Not the right fit if
You want existing clients booked into adviser diaries rather than new prospects screened. See AI Appointment Setter for Financial Services.
The documents clients send need reading and their data extracting. See AI Document Extraction for Financial Services.
Signed clients need guiding through onboarding paperwork step by step. See AI Customer Onboarding Agent for Financial Services.
You want product recommendations or answers about investments. Regulated financial advice is excluded from this build; for complaints about existing accounts, see AI Customer Complaint Agent for Financial Services.
How it works
- A website enquiry, referral form or email opens the conversation on the single channel you choose, with a short disclosure in your own approved wording.
- It asks the fact-finding questions in your playbook, such as which service is needed, whether the enquirer is an individual or a business, and how soon they want to start.
- Any question that asks for a recommendation is not answered; the agent says an adviser will cover it and records the question for that conversation.
- From your onboarding checklist, it tells a likely client which documents to prepare, so the first meeting starts with the paperwork in hand.
- It scores the enquiry against your acceptance criteria and writes the score, the facts gathered and its reasoning to the client record.
- Prospects who meet your bar go to the right adviser under your approval rules, and borderline cases wait for a named person to decide.
What you provide within 72 hours
Your portal lists these the moment you order. Delivery starts the working day after everything is in and your access is checked.
- Admin access to your CRM or client portal, using test records where you can.
- The services you offer, the client types you accept and any minimum engagement size.
- Your onboarding document checklist and the service descriptions the agent may quote.
- Ten real enquiry emails or conversations, with personal details removed if you prefer.
- Approved wording for the disclosure and for the reply when someone asks for advice.
- The adviser who reviews borderline enquiries, and one decision-maker for sign-off.
- Access to any second system, shared securely and never by email.
- An API key for your own AI model account (for example OpenAI or Google Gemini), created for this build with a spending limit.
The 72-hour rule. Send everything on your checklist, including access, within 72 hours of ordering so your build starts on time.
Timeline
Start
Intake verified; acceptance criteria and advice boundary agreed.
Weeks 1–2
Fact-finding questions, document lists and scoring built.
Week 3
CRM and document system connected with read and write access.
Weeks 3–4
Fifty scenarios tested, including requests for advice that must be declined.
Week 4
Your review and two rounds of changes.
Go-live
Live, recorded handoff session, then support for the following month.
| Option | Delivery time | Price |
|---|---|---|
| Standard | 20–30 working days | $4,900 |
| Express | 15–25 working days | $5,750 |
| Rush | 10–20 working days | $6,600 |
What you receive at handover
- The AI Lead Qualification Agent for Financial Services, configured and deployed
- A Financial Services intent library and workflow templates, including your document checklist
- Connections to up to two agreed systems, such as your CRM or client management system
- A test report built on financial services scenarios
- An admin guide and recorded handoff session
- 30 days of post-launch support
Expected benefits and how to measure them
- Can give advisers a completed fact-find before the first meeting
- Helps prospects arrive with the right documents
- Makes adviser time go to clients you can serve
- First meetings with a complete fact-find
- Ask advisers to note after each first meeting whether the fact-find and documents were complete.
- Adviser hours on unsuitable enquiries
- Ask advisers to estimate weekly time on poor-fit prospects before launch and after a month.
- Enquiries that become clients
- Compare enquiry-to-client counts in your CRM for the quarter before launch and the quarter after.
Before you start: Record how many enquiries became clients last quarter and how often first meetings lacked documents. Note adviser time spent on intake.
These are things to track, not promised results. Outcomes depend on your data, your team and your market.
Running costs
The build is a one-time price. Ongoing costs sit in your own accounts: roughly $50 to $250 a month for AI model usage and hosting, plus the CRM and client portal subscriptions you already hold.
AI usage during build and testing is billed the same way, so your firm holds every provider contract directly.
Ask about running costsCustom requirements
If you need more than six workflows, for example separate fact-finds for several service lines, or a third connected system such as a separate client portal, add a note at checkout. You get a written Change Quote, and nothing starts until you accept it.
Request a custom versionKeep it running
We recommend monthly maintenance for this edition: monitoring, fixes and monthly hours for changes, for example a revised document checklist or new acceptance criteria. Maintenance begins after the 30 days of support.
$249/mo (the minimum fee, includes 2 change hours)
Optional. Starts after the post-launch support period. Cancel any month.
How maintenance worksHow this compares
| Do it yourself with a SaaS tool | Hire a custom agency | Upmark Labs | |
|---|---|---|---|
| Price | A website chat tool bills monthly by seat or by conversation | A custom build is quoted after discovery calls | Ours is one fixed price, shown before you buy |
| Advice boundary | A generic bot may answer whatever it is asked | Depends on what was specified | Ours declines advice requests and passes them to an adviser |
| Documents | Rarely knows your onboarding checklist | Depends on what was agreed | Ours tells likely clients what to prepare, from your checklist |
| Delivery | Fast to install, generic in what it asks | Usually several weeks, set per project | Ours has a fixed delivery time shown before you buy, with faster options |
Questions about this product
Will AI Lead Qualification Agent for Financial Services give clients financial advice?
No. Regulated financial advice is excluded from this build. When a prospect asks for a recommendation, the agent replies with wording you approve, explains that an adviser will cover it, and notes the question on the record so the adviser sees it before the first meeting. It only gathers facts and scores fit.
What fact-finding questions does the financial services edition ask?
The ones in your playbook. Typical examples are which service the person needs, whether they are an individual or a business, roughly how complex their situation is, and when they want to start. You approve every question during intake, and you can change them later through maintenance.
Can it tell prospects which documents to bring to a first meeting?
Yes, from your own onboarding checklist. Once an enquiry looks like a fit, the agent lists the documents your process requires for that service, so the first meeting does not stall on missing paperwork. It does not read or check the documents themselves; that is AI Document Extraction for Financial Services.
Where are the conversation records for financial services enquiries kept?
In your own systems. Transcripts, scores and the facts gathered are written to your CRM or client portal, whichever is connected, not stored with us. If you need retention periods or deletion routines set up, the Data Retention and Deletion Configuration add-on handles that as part of the build.
What does every Financial Services lead qualification build include?
Every build includes the Financial Services template, 50 documented test scenarios, two rounds of changes, a recorded handoff session and 30 days of support. Standard, express and rush delivery times are shown in the delivery panel before you buy, and launch is counted from a verified intake.
Can personal data be removed before it reaches the AI model?
Yes, as an add-on. The PII Redaction Layer redacts personal data before it reaches AI models or logs. Without it, the agent still uses only the systems and documents you connect, and every provider account it runs on is held in your firm's name, so you keep control of client data.
What happens to an enquiry that does not meet our criteria?
It is recorded with the reasoning, then handled by the rule you choose: a polite closing message, a referral elsewhere, or review by a named adviser. Borderline enquiries always go to a person. Nothing is deleted, so you can see later why a prospect was not taken forward.
Start every first meeting with the facts already gathered.
Order AI Lead Qualification Agent for Financial Services and prospective clients are fact-found, told what to prepare and scored, without any advice given.
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