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AI Lead Qualification Agent for Salesforce
Inbound leads are qualified in conversation, and Salesforce gets the score, the reasoning and a task for the right owner.
New web leads often belong to accounts you already have, and duplicates or misrouted leads waste your reps' day. This agent qualifies inbound leads in conversation inside your Salesforce org. It checks leads, contacts, accounts and open opportunities first, then writes the score, answers and reasoning to mapped fields, logs the conversation in activity history and creates a task for the owner.
- Existing accounts and opportunities checked before any lead is created
- Scores and answers written to Salesforce fields you can report on
- A follow-up task created for the right owner every time
$5,400
20–30 working days
Optional maintenance $270/mo
What it is
AI Lead Qualification Agent for Salesforce qualifies inbound leads in conversation inside your Salesforce org: it checks leads, contacts, accounts and open opportunities first, then writes the score, answers and reasoning to mapped fields, logs the conversation in activity history and creates a task for the owner.
Why businesses buy it
Salesforce is only as useful as the data in it. When web leads arrive thin, duplicate known accounts or land with the wrong owner, reps lose time and managers lose trust in the pipeline. This agent qualifies each lead, matches it to what your org already knows and follows through with logged activity and an owner task, so nothing stalls at the score. Your dashboards start reflecting real intent. The org mapping, assignment rules and connected app setup are written on the Scope Card before you order.
Problems this solves
Inbound leads duplicate existing accounts and open opportunities
The agent checks leads, contacts, accounts and open opportunities in your Salesforce org first. A known customer is not treated as a fresh lead, and the owner sees the link.
Qualification data lives outside Salesforce and never reaches reports
Scores, answers and reasoning are written to mapped Salesforce fields. The conversation is logged in activity history, so your reports and dashboards can use it.
Qualified leads wait because the owner was never told
After qualifying a lead, the agent creates a task for the owner in Salesforce. The follow-up sits in the rep's normal task list rather than in a separate tool.
A good fit if
Salesforce is your system of record, and reps work from lead queues, opportunity views and their task list.
New web leads often belong to an account you already have, and duplicates or misrouted leads waste your team's time.
You want qualification answers stored in Salesforce fields you can report and build dashboards on, not in a separate tool.
A Salesforce admin can set up a connected app with an API-enabled user and join a 30-minute setup call.
Not the right fit if
You want Salesforce updated from emails and calls in general, rather than new leads qualified. See AI CRM Assistant for Salesforce.
Leads come in on WhatsApp and should be qualified there before syncing to Salesforce. See WhatsApp AI Lead Qualification for Salesforce.
You want one agent to qualify, nurture and hand over sales-ready opportunities. See AI Sales Agent for Salesforce.
You depend on custom Salesforce objects beyond the agreed mapping, or need extra licenses first. Neither is included; ask for a Change Quote at checkout.
How it works
- A web-to-lead form, chat or email in your chosen channel starts the conversation, and the agent searches Salesforce for a matching lead, contact or account.
- If the person belongs to an existing account, it reads the account owner, open opportunities and recent activity history, and routes accordingly.
- It asks the qualifying questions in your playbook, skipping anything Salesforce already holds.
- Answers, the score and a reasoning note are written to the lead or contact fields in the documented mapping, and the lead status is updated by your rules.
- The conversation is logged in activity history, and a task is created for the record owner, or for your approver when a lead is borderline.
- Because results sit in standard or mapped fields, your Salesforce reports, list views and assignment rules can use them straight away.
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.
- A Salesforce connected app with an API-enabled user, set up by your admin and shared securely, never by email.
- A Salesforce admin for a 30-minute setup call covering objects, fields, lead statuses and owners.
- A sandbox or test records for building and testing.
- Your ideal customer profile, qualification criteria and sales playbook or sample emails.
- Ten real inbound lead conversations or emails.
- The approver for borderline leads, and one decision-maker who signs off the mapping.
- 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; connected app and sandbox access confirmed.
Weeks 1–2
Qualifying conversation, scoring and Salesforce field mapping built.
Week 3
Two-way sync of leads, contacts, accounts, opportunities and tasks tested.
Weeks 3–4
Fifty scenarios run in the sandbox, including existing-account matches.
Week 4
Your review and two rounds of changes.
Go-live
Live in your production org, recorded handoff session, support starts.
| Option | Delivery time | Price |
|---|---|---|
| Standard | 20–30 working days | $5,400 |
| Express | 15–25 working days | $6,200 |
| Rush | 10–20 working days | $7,000 |
What you receive at handover
- The AI Lead Qualification Agent for Salesforce, configured and deployed in your org
- A two-way Salesforce connection with documented field mapping, plus up to one more system
- Access set up through user invites or keys you control, with no keys sent by email
- A test report on a Salesforce sandbox or test records
- An admin guide and recorded handoff session
- 30 days of post-launch support
Expected benefits and how to measure them
- Can keep qualification data inside Salesforce where reports can see it
- Helps reps act on qualified leads through their normal task list
- Makes it less likely that existing customers are worked as new leads
- Time from lead creation to first activity
- Build a Salesforce report on created date and first activity date. Compare the month before launch with the month after.
- Duplicate leads created
- Use Salesforce duplicate rules or a matching report to count duplicates created each month, before and after launch.
- Leads converted to opportunities
- Compare lead conversion from Salesforce lead reports for the quarter before launch and the quarter after.
Before you start: Save a Salesforce report of lead response times, duplicates and conversions for the last quarter. These figures are your starting point.
These are things to track, not promised results. Outcomes depend on your data, your team and your market.
Running costs
You pay for the build once. Running it costs roughly $50 to $250 a month for AI model usage and hosting, billed to your own accounts, alongside your existing Salesforce licenses, which the build does not change.
AI usage during the build and sandbox testing is charged to your accounts too, so the org and every provider contract stay yours.
Ask about running costsCustom requirements
If you need custom Salesforce objects mapped, lead conversion handled by the agent, a second org, or more than one system besides Salesforce, add a note at checkout. A written Change Quote follows, and that work begins only once you accept it.
Request a custom versionKeep it running
We recommend monthly maintenance for this edition: monitoring, fixes and monthly change hours, which matter for Salesforce orgs where fields, statuses and assignment rules change often. Maintenance starts after the 30 days of support.
$270/mo (5% of the build price a month, 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 qualification app from a marketplace bills per user each month | A Salesforce consultancy quotes after discovery | Ours is one fixed price, shown before you buy |
| Existing accounts | May create a duplicate lead | Depends on what was configured | Ours checks leads, contacts and accounts before qualifying |
| Follow-through | Usually stops at a score | Depends on what was agreed | Ours logs activity history and creates a task for the owner |
| Delivery | Install quickly, then configure yourself | Usually several weeks, set per project | Ours has a fixed delivery time shown before you buy, with faster options |
Questions about this product
Which Salesforce objects does AI Lead Qualification Agent for Salesforce use?
Leads, contacts, accounts, opportunities, tasks and activity history. It reads them to recognize existing accounts and owners, and writes answers, scores, notes and tasks back through the documented field mapping. Custom objects are outside the standard build and are added only through a Change Quote.
How does the Salesforce edition avoid duplicate leads?
It searches before it writes. When a conversation starts, the agent looks for a matching lead, contact or account, and updates the existing record when it finds one instead of creating another. How matches are decided, for example by email or company domain, is agreed on the setup call and documented.
What Salesforce access does our admin need to set up?
A connected app with an API-enabled user, with permissions limited to the objects and fields in the agreed mapping. Your admin joins a 30-minute setup call to confirm them. We build and test in a sandbox or on test records first, and only connect to production once you approve.
How is the Salesforce edition different from the other CRM editions?
The Salesforce connection is deeper. It checks leads, contacts, accounts and open opportunities before writing anything, works with your assignment rules, logs activity history and creates an owner task, and it is tested in a sandbox first. That extra integration work is why its fixed price, and so its monthly maintenance, sits higher than the HubSpot or Pipedrive editions.
Can it convert a qualified lead into a contact and opportunity?
Not by default. The standard build updates the lead's fields and status, logs the conversation and creates a task, leaving conversion to your rep or your existing Salesforce automation. If you want the agent to convert leads itself, add a note at checkout and we send a written Change Quote.
What will it cost to run alongside Salesforce?
Roughly $50 to $250 a month for AI model usage and hosting, in your own accounts, plus your existing Salesforce licenses. Nothing is charged per lead or per record. Monthly maintenance is optional, and we recommend it for orgs whose fields and assignment rules change often.
Give Salesforce the qualified lead, not just the form fill.
Order AI Lead Qualification Agent for Salesforce and inbound leads are qualified, matched to existing accounts and written into Salesforce with a task for their owner.
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