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Automate Felt with AI Agents.

Automate Felt with AI workers to streamline geospatial workflows, improve planning coordination, and reduce repetitive mapping admin across teams.

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Your Felt AI Worker

Felt AI Worker

Active
You: Review all map edits from this week across our expansion planning workspace, flag parcels with new risk notes or zoning changes, and draft a priority follow-up list for the operations team by region.
Scanning recent map edits across shared Felt workspaces...
Ranking geospatial changes by operational impact...

27 location updates prioritized for action.

The worker organized map changes by region, highlighted parcels with zoning or risk changes, and prepared a ranked follow-up list so operations can focus on the highest-...

27Locations prioritized
6Regions covered

2 daysBeforeto8 minWith Toolhouse

Use cases

Geospatial workflow automation with Felt

Geospatial workflow automation with Felt

Use case 1

Automate map-based planning and collaboration workflows

Toolhouse AI workers can use Felt to support workflows around maps, spatial data, and collaborative planning. Workers can monitor updates, trigger follow-up actions, and reduce the manual effort required to keep geospatial workflows moving. This helps operations, planning, and analytics teams improve responsiveness while organizing location-based work more effectively.

Your Felt AI Worker

Felt AI Worker

Active
You: Check our field operations map for newly marked service gaps, identify clusters with repeated technician notes, and prepare a coverage expansion recommendation for next week's planning meeting.
Reviewing technician notes and service coverage layers...
Grouping recurring location patterns into action clusters...

4 service gap clusters identified.

The worker grouped recurring field notes into four high-priority service gap clusters, summarized likely causes, and prepared a recommendation package for coverage expan...

4Gap clusters found
143Field notes analyzed

7 hoursBeforeto11 minWith Toolhouse

Use case 2

Track geospatial updates and team follow-up

Geospatial workflows create the most value when map or data changes automatically trigger the right next action. By combining Felt with Toolhouse, AI workers can support planning follow-up, operational routing, and internal coordination across location-based processes. That improves speed and helps teams act on spatial information with less manual effort.

Your Felt AI Worker

Felt AI Worker

Active
You: Monitor our real estate development maps for stakeholder comments, tag any sites waiting on approvals for more than 10 days, and draft reminder summaries for the project owners.
Checking map comments, approval status, and project timelines...
Drafting follow-up summaries for delayed site reviews...

18 delayed approvals surfaced automatically.

The worker found sites with stalled approvals, matched each one to the latest stakeholder comments, and drafted concise reminders so project owners can unblock reviews w...

18Delayed sites flagged
18Reminder drafts created

1 business dayBeforeto6 minWith Toolhouse

Use case 3

Support operations and planning teams

Teams often lose time manually checking maps, coordinating repetitive planning tasks, and tracking location-related updates across stakeholders. AI workers can use Felt to support those recurring workflows, reduce repetitive admin, and maintain better visibility into what needs attention. This makes mapping operations easier to scale across projects and regions.

Your Felt AI Worker

Felt AI Worker

Active
You: Summarize monthly activity across our logistics planning maps, compare route adjustment trends by market, and generate an exec-ready update on where location-based workflows are slowing down deliveries.
Compiling route edits and map activity by market...
Linking geospatial changes to delivery performance trends...

9 logistics bottlenecks highlighted for leadership.

The worker summarized route changes by market, identified nine recurring delivery bottlenecks, and turned map activity into an executive update that connects geospatial...

9Bott​lenecks identified
12Markets analyzed

3 daysBeforeto14 minWith Toolhouse

Use case 4

Reduce repetitive mapping admin

Organizations also benefit from stronger reporting on spatial trends, workflow bottlenecks, and planning outcomes. Toolhouse can automate Felt-based workflows that summarize map activity, flag important changes, and support recurring planning reviews. That improves oversight without adding more manual reporting work.

Your Felt AI Worker

Felt AI Worker

Active
You: Automate Felt with AI workers to streamline geospatial workflows, improve planning coordination, and reduce repetitive mapping admin across teams.
Reading workflow context...
Preparing the next best action...

Reduce repetitive mapping admin

Organizations also benefit from stronger reporting on spatial trends, workflow bottlenecks, and planning outcomes. Toolhouse can automate Felt-based workflows that summa...

-Tasks handled
-Actions ready

manualBeforetominutesWith Toolhouse

Use case 5

Report location workflow trends

Leadership teams benefit from reporting on geospatial efficiency, workflow performance, and operational impact. AI workers can summarize Felt activity into reports on planning trends, coordination outcomes, and business value, helping teams improve location-based operations over time. Better reporting supports stronger planning strategy and smarter geospatial workflows.

Your Felt AI Worker

Felt AI Worker

Active
You: Automate Felt with AI workers to streamline geospatial workflows, improve planning coordination, and reduce repetitive mapping admin across teams.
Reading workflow context...
Preparing the next best action...

Report location workflow trends

Leadership teams benefit from reporting on geospatial efficiency, workflow performance, and operational impact. AI workers can summarize Felt activity into reports on pl...

-Tasks handled
-Actions ready

manualBeforetominutesWith Toolhouse

Testimonials

What our customers say

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We built in record time what would have taken weeks otherwise! I can honestly say that without Toolhouse, our team would have been spending much MUCH more time delivering AI features in the products we're building.”

Marcos Ocón

Marcos Ocón

COO @ Develative (Developer Agency)

EngineeringSince 2025

“I built an agent that qualifies my leads and books calls automatically. No developer, no agency. It paid for itself in the first week.

Andrew Njoo

Andrew Njoo

Founder @ Stack2Sale

MarketingSince 2025

“Our team of 12 was drowning in repetitive tasks. We described what we needed and the agent just worked. We didn't write a single line of code.”

Kristian Freeman

Kristian Freeman

Manager @ Large Engineering Company

InfrastructureSince 2025

Pricing

Simple, transparent pricing

Start free, scale as you grow. No hidden fees, no surprises.

For scaling businesses

Business Max

$1,200/month

Includes FREE unlimited tokens

  • Credits / month80,000
  • Workers500
  • Log retention1 year
  • Worker email inboxIncluded
  • OnboardingIncluded
  • OrganizationsIncluded
  • Account engineerOn demand
  • SupportPriority (Slack, Email, Phone)
Start now →

No credit card needed

For larger companies

Enterprise

Custom

For scaling needs

  • Credits / monthVolume pricing
  • WorkersUnlimited
  • Log retentionCustom
  • Worker email inboxIncluded
  • OnboardingIncluded
  • OrganizationsIncluded
  • Account engineerNamed
  • SupportCustom
Talk to sales →

 

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FAQ

Using Felt with AI workers

Common questions about Felt automation with AI workers.

How can Toolhouse automate Felt workflows?

Toolhouse lets you build AI workers that use Felt to automate geospatial follow-up, mapping workflows, planning coordination, and reporting across teams.

Is Felt a good fit for AI workers?

Yes. Felt is a strong fit for AI workers because map-based workflows are repetitive and benefit from automated routing, follow-up, and visibility.

What teams benefit from Felt automation?

Planning, operations, analytics, and location-based teams benefit most because they can reduce repetitive mapping admin and manage geospatial workflows more efficiently.

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