Proposal Generation Automation on Foursquare, Powered by AI
Run Proposal Generation on top of Foursquare with a DeskFerry agent. Faster execution, fewer errors, zero manual busywork.
Proposal v1 drafted. Cover email queued:
How does Foursquare work for Proposal Generation automation?
Foursquare works for Proposal Generation automation by powering a DeskFerry agent that runs the workflow end-to-end inside your existing tools — no code, no custom build.
- 01
Trigger fires
The agent connects to Foursquare alongside the other apps your team already uses, watches for the triggers that matter for Proposal Generation, and takes the next step on its own while keeping a complete audit trail for review.
- 02
Generate a tailored proposal with @Foursquare for the Northwave deal
Generate polished proposals in minutes using AI-powered templates and client data.
- 03
Pull scope from @Salesforce
Teams typically see days → Same-day from brief to client-ready draft once the agent is in production.
- 04
Our pricing rules
You stay in control: every action is logged, confidence thresholds are configurable, and anything ambiguous is queued for a human instead of being silently auto-completed.
- 05
You approve
Anything under your confidence bar waits for a human.
How you tell it what to do
Built in plain English.
You write the rule the way you'd describe it to a teammate. The agent reads the rule, breaks it into the actions it'll take, and confirms the apps it'll touch — before it does anything.
- 1Generate a tailored proposal with @Foursquare for the Northwave deal
- 2Pull scope from @Salesforce
- 3Our pricing rules
- 4The SOC 2 attachment
How it connects
Connect Foursquare. The agent does the rest.
Claude and ChatGPT are already running on our side. You connect Foursquare with one click, and proposal generation runs inside it.
Claude and ChatGPT run on our keys. Nothing for you to configure.
- FoursquareConnect
- SalesforceConnect
Runs on your data, in your apps.
Nothing to deploy. Nothing to maintain.
Actions
What Foursquare + DeskFerry can do
Real Foursquare actions your AI agent can perform automatically — no manual work required.
Retrieve nearby places v3
The getnearbyplaces endpoint retrieves a list of places near a specified location, primarily supporting check-in use cases and local discovery. it returns points of interest (pois) including lower quality results not found in the standard place search, enhancing location-based experiences with additional data like photos, reviews, and tips. this endpoint is ideal for applications seeking to provide users with a comprehensive view of their surroundings, including less prominent or newer locations. while it offers a broader range of results, it may sacrifice some precision compared to more focused search endpoints. use this when you want to offer users a diverse array of nearby options, particularly for social check-in features or exploratory local recommendations.
Retrieve place photos by id
Retrieves photos associated with a specific place in foursquare's database. this endpoint allows you to access user-generated images for a particular point of interest (poi) using its unique foursquare id (fsq id). it's useful for enhancing your application with visual content related to locations, such as restaurants, landmarks, or businesses. the endpoint returns photo data that can be used to construct image urls for display. keep in mind that the number and quality of photos may vary depending on the popularity and user engagement of the place. this tool should be used when you need to display or analyze visual information about a specific location in your application.
Retrieve places by id
Retrieves detailed information about a specific place using its unique foursquare id (fsq id). this endpoint provides comprehensive data about a venue, including its name, address, category, ratings, tips, photos, and other relevant information. it's particularly useful when you need in-depth details about a known location, such as for displaying venue profiles or gathering specific place attributes. the endpoint should be used when you have a valid fsq id and require the most up-to-date and complete information about that place. note that this endpoint focuses on individual place details and does not provide search functionality or lists of multiple venues.
Retrieve place tips using fsq id
Retrieves user-generated tips for a specific place in the foursquare database. this endpoint allows you to fetch valuable insights and experiences shared by foursquare users about a particular venue. it's useful for enhancing location-based applications with real user feedback, helping users make informed decisions about places they might visit. the endpoint returns a list of tips, which may include information such as the tip text, the user who created it, and potentially a timestamp or rating.
Search places api request
The getplacessearch endpoint allows you to search for places in the foursquare database based on various criteria such as location, keywords, and categories. this tool is ideal for discovering nearby points of interest or finding specific venues. it returns a list of places matching the specified parameters, providing essential information about each location. use this endpoint for location-based features or gathering venue information in a specific area.
Northwave · DeskFerry proposal (v1) — for your Friday review
Attached is the v1 proposal for Northwave — 18 seats, 12-month term, $138K ACV with the early-renewal credit applied.
Personalized using LinkedIn activity from the last 30 days.
Human in the loop
Approve before it sends.
Every draft lands in a review queue. You approve, edit, or reject — the agent never acts on its own unless you explicitly turn that on for a workflow you trust.
Governance
Every action, with the reasoning attached.
Each step the agent takes is logged with what it did, why it did it, and which app it touched. Audit-ready, so security and compliance can sign off without backfilling.
- Marco11:42 AM
Approved the draft to procurement@northwave.io.
- Agent11:41 AM
Drafted the email and queued it for review.
Reason: High-confidence personalization but recipient is C-level — escalating per policy.
- Agent11:40 AM
Pulled LinkedIn activity and HubSpot deal context.
- Agent11:40 AM
Triggered: Generate a tailored proposal with @Foursquare for the Northwave deal — pull scop
- Agent11:38 AM
Confirmed sender domain DKIM is healthy.
How it works
Get started in three steps
Step 01
Connect Foursquare
Authorize Foursquare in your DeskFerry dashboard. The secure connection takes less than 60 seconds.
Step 02
Configure Your AI Agent
Set up triggers, actions, and conditions specific to how your team uses Foursquare.
Step 03
Deploy & Monitor Results
Your AI agent goes live immediately. Track tasks automated, time saved, and accuracy metrics in real-time.
Start automating Proposal Generation for Foursquare
7-day free trial. Works with the tools you already use.
FAQ
Frequently asked questions
How does Proposal Generation automation scale with increased Foursquare volume?
The Proposal Generation agent scales automatically as your Foursquare activity grows. Whether you process 10 or 10,000 Proposal Generation tasks per day from Foursquare, the AI handles the volume without slowdowns or additional configuration.
Can I customize which Foursquare events trigger Proposal Generation actions?
Yes. You define exactly which Foursquare events start Proposal Generation workflows — new records, status changes, messages, or custom triggers. Each trigger can have conditions so Proposal Generation actions only fire when your specific criteria are met in Foursquare.
How long does it take to set up Proposal Generation automation with Foursquare?
Most users connect Foursquare and launch their first Proposal Generation automation within 10 minutes. The guided wizard handles OAuth authorization, and you configure Proposal Generation-specific rules through a visual no-code builder.
Can I test Proposal Generation automation with Foursquare before going live?
Yes. You can run Proposal Generation workflows in test mode using sample Foursquare data before activating on live records. This lets you verify every Proposal Generation rule works correctly with your Foursquare setup before processing real data.
How does Foursquare data stay secure during Proposal Generation automation?
All data exchanged between Foursquare and DeskFerry during Proposal Generation processing is encrypted in transit and at rest. We use OAuth tokens for Foursquare access, never store raw credentials, and maintain full audit logs of every Proposal Generation action.
Explore more