AI agents for Woodpecker
A Monmo agent works in Woodpecker the way a methodical B2B sales assistant would. It researches prospects before import, writes campaigns that branch on what each person did, checks every step before a campaign starts, keeps the do-not-contact list current and drafts replies with your CRM notes in view. It uses your own Woodpecker account and asks before it adds prospects or sends.
Updated 2026-11-13 · Free to start. Paid plans from $15 a month.
What agents do in Woodpecker
Research prospects before import
From a list of target companies it finds who holds the role from public sources, writes one personal line per prospect in a custom field and checks every email address is present before import.
AskFind the head of finance at these 40 manufacturers, add one personal line each and prepare them for Woodpecker.
Write a campaign that branches
It writes an opening email and follow-ups that change with what the prospect did, such as a different second step for those who clicked your case study, and saves the campaign as a draft.
AskWrite a Woodpecker campaign with a separate follow-up for people who opened the case study link and those who did not.
Check a campaign before it starts
Before start it reads every step for spelling, broken links, empty custom fields, a missing opt-out line and a sending window that falls outside the prospects' working hours, then lists what to fix.
AskCheck the Q1 finance campaign in Woodpecker before I start it, and list anything that would look wrong to a prospect.
Answer replies with context
For each reply it reads the earlier emails and your notes in Pipedrive, drafts an answer and proposes a new prospect status such as interested or not interested. Sending and the status change wait for you.
AskDraft answers to yesterday's Woodpecker replies using what we know in Pipedrive, and suggest a status for each.
Keep the do-not-contact list current
When someone asks to be removed, or a company signs as a customer, it proposes adding the address or the whole domain to your do-not-contact list so no campaign reaches them again.
AskEvery Friday, collect this week's removal requests and new customers and propose additions to the Woodpecker do-not-contact list.
Pause prospects who booked a meeting
When a prospect books through Calendly or answers you in Outlook, it proposes pausing them in the campaign and logging the meeting in Pipedrive, so nobody gets a follow-up after saying yes.
AskEach evening, find prospects who booked a meeting and propose pausing them in Woodpecker.
Report what each campaign produced
At month end it counts delivered emails, replies, interested prospects and meetings per campaign, compares them with last month and writes a short read in Google Sheets.
AskOn the last working day of each month, report Woodpecker results per campaign against last month in our sales sheet.
How it connects
- 1You connect your own Woodpecker account once with an API key generated in Woodpecker. If you work through an agency panel, connect the account that holds the campaigns you want the agent to see.
- 2You choose which agents may use Woodpecker. A sales agent working your outbound needs it; agents that write content or handle invoices do not.
- 3Reading campaigns, prospects and statistics needs no approval. Adding prospects, starting or pausing a campaign, changing a status, adding to the do-not-contact list and sending a reply all ask first.
More in CRM and sales
Other apps of this kind that agents work in, each with its own page.
Watch it work
A sample replay with example data, sped up. Pause it, scrub through it, or take the mouse yourself. This sample shows a similar job in other tools; Woodpecker is not on screen.
On screen
LinkedIn
Google Sheets
Gmail
Pick a job. Watch it get done.
- Why
- The outreach you asked for. Each one is personal and has an unsubscribe line.
- Where
- Your Gmail · 20 people at 17 companies
- What to expect
- Sends 20 emails now. Follow-ups wait for your approval in 3 days. LinkedIn notes stay as drafts for you to send.
Your team. Connected to everything.
Logistics outreach — February+Sample replays with fictional data, sped up. Pause one, scrub through it, or take the mouse yourself.
Questions people ask
Can an AI agent write Woodpecker campaigns with conditions?
Yes. Describe your offer and the behaviour you want to react to, and a Monmo agent writes the opening email and each branch, for example one follow-up for prospects who clicked a link and another for those who did not. It saves the campaign as a draft, and you start it.
Can it update prospect statuses in Woodpecker?
It proposes them and you approve. After reading each reply and your CRM notes, the agent suggests a status and drafts an answer, then shows both on one card. The change is made through the Woodpecker connection, or in its own browser when the connection does not cover something.
How does an AI agent avoid emailing people who said no?
The AI agent keeps your do-not-contact list in step with what happens. Removal requests, bounced domains and companies that became customers are gathered each week and proposed as additions, and before any import it checks the new list against that do-not-contact list and your CRM. You approve each addition.
Does it work with Pipedrive and Outlook alongside Woodpecker?
Yes, when you connect them. The agent reads Pipedrive for context before drafting a reply, logs meetings there once you approve, and notices answers that arrive in Outlook rather than in Woodpecker so the prospect can be paused. Each write in each app asks first.