Intake & Extraction
AI Document Intake
Receives documents from email and uploads and files them correctly.
Outreach
AI Appointment Setter for Financial Services
Prospective and existing clients book the right meeting with the right adviser, and arrive with the documents you asked for.
Prospects and clients want a meeting with the right adviser, and advisers want them to arrive prepared. This edition replies over chat or email, checks each request against your rules, books the right meeting type with the right adviser, and tells clients which documents to bring. It gives no regulated financial advice and stays inside your approved wording.
- Meetings booked with the right adviser for each need
- Clients told exactly which documents to prepare
- Approved wording only, with no regulated advice given
$4,900
20–30 working days
Optional maintenance $249/mo
What it is
AI Appointment Setter for Financial Services engages clients and prospects over chat or email, qualifies each request against your rules, books meetings with the right adviser, and tells clients which onboarding paperwork and documents to prepare. It reads your CRM before acting and gives no regulated financial advice. Every booking is logged in your CRM.
Why businesses buy it
An adviser meeting where the client forgot half the paperwork usually turns into a second meeting, and every reschedule delays the work. Meanwhile, new enquiries wait for a callback that may come too late. This edition books promptly, matches each client to the right adviser and sends the right checklist, so meetings are productive from the start. The written scope sets the channel, the CRM and calendar connection and the Financial Services workflows before you order, making it straightforward to review with compliance.
Problems this solves
Clients arrive at first meetings without the documents advisers need
After booking, the setter tells each client which onboarding paperwork and documents to prepare, based on your rules. Advisers can use the meeting for the conversation, not paperwork.
Enquiries reach any free adviser rather than the right specialist
Each request is qualified against your rules and booked with the adviser who handles that need. The setter reads your CRM first, so existing clients reach their own adviser.
Firms worry an automated assistant might give regulated advice
The setter gives no regulated financial advice. It sticks to qualifying, booking and preparation questions, and every booking is logged in your CRM for review.
A good fit if
Prospects enquire by chat or email and wait days for a reply because advisers screen every enquiry themselves.
Existing clients ask to book reviews or raise service requests, and someone has to work out which adviser and meeting type applies.
Meetings stall because clients arrive without the paperwork, and a document checklist at booking time would save a second appointment.
Every message must stay inside clear rules, with no advice given and anything sensitive held for a person.
Not the right fit if
You need documents received from email and uploads filed in the right place. See AI Document Intake.
You need data extracted from statements and forms once they arrive. See AI Financial Document Agent.
You want prospects called by phone to book appointments. See AI Voice Appointment Setter.
Your staff need cited answers to internal procedure questions rather than bookings. See AI Company Knowledge Hub for Financial Services.
How it works
- Your meeting types, adviser routing, onboarding checklists and ten real client messages are loaded, up to 100 documents, so replies follow your procedures.
- A client or prospect writes in on the one channel in scope, chat or email, and the setter identifies the Financial Services workflow: onboarding paperwork, service request, appointment booking or document collection.
- It reads the contact's stage, owner and history in your CRM first, so an existing client is routed to their own adviser.
- Prospects are qualified against your criteria, such as the service they need, and suitable ones are offered times from the adviser's calendar.
- Once a booking is confirmed, the client receives the document checklist for that meeting type, drawn from your onboarding procedures.
- Requests for a recommendation on products or investments are declined and held for an adviser, and 50 financial services test scenarios run before launch.
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, such as HubSpot, and to the calendar advisers book from.
- Your meeting types, which adviser handles which client or service, and your qualification criteria for new prospects.
- Onboarding checklists and the documents each meeting type needs.
- Your sales playbook or sample emails, plus ten real client and prospect messages.
- The adviser or manager who reviews held conversations.
- One decision-maker, often in compliance or operations, to approve the rules.
- 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; meeting types, adviser routing and the no-advice boundary agreed.
Weeks 1–2
Booking, service request and document checklist flows built from your procedures.
Week 3
CRM and advisers' calendar connected, routing rules applied.
Weeks 3–4
50 financial services test scenarios run, including advice requests it must hold back.
Week 4
Your review and two rounds of changes.
Go-live
Live, recorded handoff, 30 days of support starts.
| 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 setter configured on one channel and connected to your CRM and adviser calendars
- A Financial Services intent library and workflow templates, including document preparation messages
- A test report covering 50 financial services scenarios
- An admin guide and a recording of the handoff session
- 30 days of post-launch support
Expected benefits and how to measure them
- Can make first meetings more productive because clients come prepared.
- Helps each enquiry reach the right adviser first time.
- First meetings with documents ready
- Ask advisers to mark each first meeting as prepared or not in the CRM, for a month before and after launch.
- Meetings rebooked with another adviser
- Count meetings moved to a different adviser after booking, using CRM history, before and after launch.
- Enquiry-to-meeting rate
- Compare meetings booked with new enquiries in your CRM for matching months.
Before you start: Note how many first meetings last month lacked documents, and how many were rebooked with a different adviser.
These are things to track, not promised results. Outcomes depend on your data, your team and your market.
Running costs
You pay once for the build. AI model usage and hosting cost roughly $50 to $250 a month in your own accounts, on top of your CRM and calendar plans, and the figure moves with conversation volume.
AI usage during build and testing is billed to your accounts too.
Ask about running costsCustom requirements
If you want the secure client portal connected as a third system, chat and email covered together, or more than six workflows, add a note at checkout. A written Change Quote follows, and that work starts once you accept it. Larger or bespoke projects go through the Custom AI request form.
Request a custom versionKeep it running
We recommend monthly maintenance: monitoring, fixes and a monthly allowance of change hours, for things such as a new meeting type or a revised document checklist. It starts 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 booking page charges per adviser seat | A fintech developer quotes after discovery | Ours is one fixed price, shown before you buy |
| Advice boundary | A generic chatbot has no rule against advising | Depends on what was specified | Ours declines advice requests and holds them for an adviser |
| Paperwork | Clients learn what to bring at the meeting | Depends on the build | Ours sends the checklist for that meeting type at booking |
| Delivery | A booking page is quick but routes no one | Usually several weeks | Ours has a fixed delivery time shown before you buy, with faster options |
Questions about this product
Will the Financial Services setter give clients financial advice?
No. Regulated financial advice is excluded. If a client asks which product or investment suits them, the setter says it cannot advise and holds the conversation for an adviser. It handles booking, service requests, onboarding paperwork and document collection, following the procedures you approve.
How does the setter decide which adviser a client sees?
From the routing rules you set at intake and the record in your CRM. An existing client goes to their own adviser, and a new prospect goes to whoever handles that service or client type. It reads live calendar availability and books inside your meeting lengths and buffers.
Can the Financial Services setter collect documents from clients?
It tells clients exactly which documents to prepare for their meeting, from your onboarding checklists, but it does not receive or store files. Receiving and filing documents is the job of AI Document Intake, and a secure client portal can be connected through a Change Quote.
What happens to a service request it cannot complete?
It is logged in your CRM with the details collected and held for the person your rules name, so nothing disappears. Simple requests your procedures allow it to handle, such as booking a review meeting, are completed directly within your approval rules and confirmed to the client.
How long does the Financial Services setter take to go live?
The standard delivery time is fixed and shown next to this page, with express and rush options available. The clock starts from a verified intake, due within 72 hours of ordering, and each day late moves delivery by 3 working days. Arrange CRM and calendar access first, since everything else builds on them.
What does the Financial Services setter cost to run per month?
Roughly $50 to $250 a month in your own accounts for AI model usage and hosting, on top of your CRM and calendar plans. Cost tracks conversations, not bookings. Monthly maintenance is optional, for ongoing changes. It starts after the post-launch support period and covers monitoring, fixes and change hours for a new meeting type or a revised document checklist.
Can personal data be redacted before it reaches the AI model?
Yes, with the PII Redaction Layer add-on, which redacts personal data before it reaches AI models or logs. It is bought with this build or later. If you also need a record of actions and changes, the Audit Logging add-on adds tamper-evident logs.
Book the review, send the checklist, skip the second meeting.
Order AI Appointment Setter for Financial Services and clients book the right adviser and arrive with the documents you asked for.
Works well with
Intake & Extraction
AI Financial Document Agent
Classifies and extracts data from financial documents.
