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Automate Affinda with AI Agents.

Automate Affinda with AI workers to extract data from documents, reduce manual entry, and streamline document-heavy operations.

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Your Affinda AI Worker

Affinda AI Worker

Active
You: Parse the 186 resumes from this week’s inbound applicants, extract title, years of experience, location, certifications, and top skills, then shortlist candidates for our 4 open customer support roles based on...
Parsing incoming resumes and extracting candidate fields...
Matching applicants against role requirements and ranking fit...

186 resumes parsed and 27 qualified candidates shortlisted.

The worker converted unstructured resumes into structured candidate profiles, grouped applicants by fit, and flagged the strongest matches for each role. Recruiting can...

186Resumes processed
27Qualified candidates shortlisted

2-3 daysBeforeto11 minWith Toolhouse

Use cases

Document extraction and data automation with Affinda

Document extraction and data automation with Affinda

Use case 1

Parse resumes automatically

Toolhouse AI workers can use Affinda to turn unstructured documents into usable business data automatically. Workers can extract key fields, organize outputs, and trigger downstream actions in hiring, finance, or operations workflows. This helps teams replace repetitive document handling with scalable automation.

Your Affinda AI Worker

Affinda AI Worker

Active
You: Extract vendor name, invoice number, due date, line items, and totals from this month’s AP inbox, flag anything missing a PO or over budget, and prepare a clean approval queue for finance.
Reading invoice attachments and extracting financial fields...
Checking for missing POs, duplicate risks, and budget exceptions...

342 invoices structured and 41 exceptions flagged for review.

The worker pulled key fields from every invoice, standardized the data for finance workflows, and separated routine invoices from those needing human attention. AP teams...

342Invoices processed
41Exceptions flagged

4-5 daysBeforeto18 minWith Toolhouse

Use case 2

Extract invoice data

Resume review, invoice capture, and form processing are common workflows that drain time from high-value teams. By combining Affinda with Toolhouse, AI workers can parse incoming documents, validate extracted data, and route the results into ATS, CRM, or finance systems automatically. That improves speed and consistency across document operations.

Your Affinda AI Worker

Affinda AI Worker

Active
You: Process the onboarding packets from our new franchise partners, extract business entity details, addresses, tax IDs, contact information, and missing form fields, then route completed records to ops and flag i...
Extracting business details from onboarding documents...
Validating required fields and routing complete records to operations...

58 onboarding packets processed with 14 incomplete submissions identified.

The worker turned each packet into structured records, routed complete submissions into the next operational step, and isolated the files that need follow-up. Instead of...

58Packets processed
14Incomplete submissions flagged

1-2 daysBeforeto9 minWith Toolhouse

Use case 3

Route structured document outputs

Document workflows often fail when exceptions are hard to spot early. AI workers can use Affinda to identify missing information, flag ambiguous records, and escalate edge cases only when human review is required. This reduces manual workload while keeping quality control in place.

Your Affinda AI Worker

Affinda AI Worker

Active
You: Summarize this quarter’s document intake across resumes, invoices, and application forms, show total processing volume, exception rate, average turnaround, and which document types are creating the most manual...
Compiling document processing activity across workflows...
Calculating exception trends and identifying review bottlenecks...

3 document bottlenecks identified across 2,940 processed files.

The worker compiled processing activity into a simple operational summary, highlighting where document exceptions are slowing teams down most. Leaders now have a clearer...

2940Files analyzed
3Bottlenecks identified

manual spreadsheet analysisBeforetominutesWith Toolhouse

Use case 4

Speed up onboarding reviews

Operations teams benefit most when extracted data immediately powers action. Toolhouse can automate handoffs, approvals, notifications, and record creation once Affinda has processed a file, creating a full workflow instead of a standalone extraction step. That makes document automation more valuable across the business.

Your Affinda AI Worker

Affinda AI Worker

Active
You: Automate Affinda with AI workers to extract data from documents, reduce manual entry, and streamline document-heavy operations.
Reading workflow context...
Preparing the next best action...

Speed up onboarding reviews

Operations teams benefit most when extracted data immediately powers action. Toolhouse can automate handoffs, approvals, notifications, and record creation once Affinda...

-Tasks handled
-Actions ready

manualBeforetominutesWith Toolhouse

Use case 5

Report document processing volume

Leaders also need visibility into volume, bottlenecks, and exception rates. AI workers can summarize Affinda activity into reports on processing throughput, extraction quality, and workflow outcomes, helping teams improve efficiency over time. Better insight supports more scalable document operations.

Your Affinda AI Worker

Affinda AI Worker

Active
You: Automate Affinda with AI workers to extract data from documents, reduce manual entry, and streamline document-heavy operations.
Reading workflow context...
Preparing the next best action...

Report document processing volume

Leaders also need visibility into volume, bottlenecks, and exception rates. AI workers can summarize Affinda activity into reports on processing throughput, extraction q...

-Tasks handled
-Actions ready

manualBeforetominutesWith Toolhouse

Testimonials

What our customers say

1,000,000+ agents· 15,000+ teams· 1,000+ integrations· Start for free

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 Affinda with AI workers

Common questions about Affinda automation with AI workers.

How can Toolhouse automate Affinda workflows?

Toolhouse lets you build AI workers that use Affinda to automate document extraction, resume parsing, invoice processing, workflow routing, and reporting across operations teams.

Is Affinda a good fit for AI workers?

Yes. Affinda is a strong fit for AI workers because document extraction is highly repetitive and becomes more valuable when linked to approvals, routing, and downstream workflows.

What teams benefit from Affinda automation?

HR, finance, operations, and back-office teams benefit most because they can reduce manual data entry, process documents faster, and improve workflow accuracy.

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