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AI agents for Salesforce

A Monmo agent works in Salesforce the way a sales operations hire would. It logs calls and emails, updates opportunities, finds the accounts you ask about, and turns the pipeline into a report or a slide deck. It uses your own Salesforce login, sees only what you allow, and asks before it creates or changes a record.

Updated 2026-11-13 · Free to start. Paid plans from $15 a month.

App

What agents do in Salesforce

  • Update opportunities after calls

    After each meeting the agent reads the notes and the follow-up email, then sets the stage, amount, close date and next step. One card shows every change before it is saved.

    AskUpdate Salesforce from today's three sales calls. Show me the changes first.
  • Build the weekly pipeline report

    Every Monday it pulls open opportunities, compares them with last week and writes what moved, what stalled and what slipped, as a Google Doc or a slide deck.

    AskEvery Monday at 8, send me the pipeline report: new, moved, stalled and closing this month.
  • Find and summarise an account

    Ask about a customer and it reads the account, contacts, open deals, recent emails and support history, then gives you a one-page summary before a meeting.

    AskBrief me on Northwind before my 2pm call: deals, contacts, last five interactions.
  • Clean up records

    It finds duplicates, contacts with no owner, deals with close dates in the past and missing fields, and proposes fixes in a list you can approve in part or in full.

    AskFind opportunities with a close date in the past and suggest a new date or a stage for each.
  • Add new leads with research

    From a form, a list or an email, it researches the company and the person on the web, fills in industry and size, and creates the lead once you allow it.

    AskAdd these twelve conference contacts as leads with company size, industry and a one-line note.
  • Chase the next step

    It notices deals with no activity for two weeks, drafts a follow-up email for each owner to send, and posts a short reminder list in Slack.

    AskEach Thursday, list deals with no activity in 14 days and draft a follow-up for each.
  • Answer questions about the numbers

    Ask in plain words and it runs the query for you: win rate by source, average deal size by quarter, or which reps have the most deals closing this month.

    AskWhat was our win rate by lead source last quarter, and how does it compare with the one before?

How it connects

  1. 1You connect your own Salesforce account once. The agent works with the permissions that account already has.
  2. 2You choose which agents may use Salesforce. A research agent does not need it; a sales agent does.
  3. 3Reading is done without asking. Creating, changing or deleting a record always asks first, and one card can cover a batch.

Often used with

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Watch it work

A sample replay with example data, sped up. Pause it, scrub through it, or take the mouse yourself.

On screenGoogle DocsSalesforceGoogle Slides

Pick a job. Watch it get done.

SoraSales
Sample replay
Today 17:30
Three calls today: Northwind, Kestrel and Alder. Update Salesforce and tell me where the pipeline stands.
Reading your call notes and the follow-up emails now.
Read 3 call notes · 5 emails
Northwind moves to Proposal at $48,000, closing March 20. Kestrel wants a demo on Tuesday. Alder has gone quiet, so I moved its date instead of guessing a stage.
Save 3 updates to Salesforce?
Salesforce
Why
From today’s calls and the follow-up emails.
Where
Fieldwork Salesforce · 3 opportunities
What to expect
Changes stage, amount, close date and next step. Nothing is deleted.
3 opportunities updated
Saved. Now building this week’s pipeline review from the live numbers.
You allowed a new deck in Google Slides
Pipeline this week
  • Open pipeline$610k
  • Moved forward$184k
  • Stalled 14+ days2 deals
  • Slipped to April1 deal
3 deals updated · pipeline review ready
Sora’s computerAwake

Your team. Connected to everything.

Pipeline review — week 7+
‹›↻docs.google.com/presentation/d/pipeline-review-week-7⋮
Pipeline review — week 7File Edit View Insert Format Tools
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WEEK 7

Open pipeline: $610k

$184kmoved forward
2 dealsstalled 14+ days
1 dealslipped to April
AppsMon 15 Feb 17:30
Sora
Watching· 3 deals updated · pipeline review ready
09 / 09

Sample replays with fictional data, sped up. Pause one, scrub through it, or take the mouse yourself.

FAQ

Questions people ask

Can an AI agent update Salesforce for me?

Yes. A Monmo agent reads your call notes and emails, works out what changed, and prepares the updates to each opportunity, contact or task. It shows you the changes on one card and saves them when you allow it. You can edit or decline any line.

Is it safe to give an AI agent access to our CRM?

The agent uses the Salesforce account you connect, so it can see and do only what that account can. It reads without asking but never creates, edits or deletes a record without your approval. You can watch its screen while it works and remove its access at any time.

Can it make reports from Salesforce data?

Yes. Ask for a pipeline review, a forecast by month or a win-rate breakdown, and the agent pulls the data, checks the totals and writes it up as a document, a spreadsheet or slides. You can make the same report a routine that arrives every Monday.

Do we need a Salesforce administrator to set it up?

No. You sign in to Salesforce from Monmo and choose which agents may use it. If your organisation restricts connected apps, an administrator may need to allow the connection once. Where the connection does not cover a step, the agent can use Salesforce in its own browser.

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