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BoldBellowsAI document redaction and PII detection for teams who hide names one by one before sharing a file

AI document redaction and PII detection that finds sensitive details, masks them by your rules and has a person check before sharing

PII detection finds names, ID numbers, contact details and similar items in a document, and configured rules decide what is masked, so the redacted copy is checked before it is shared and the original stays protected. BoldBellows lists the documents you share outside, the kinds of personal and sensitive data they may hold and who decides what must be masked, before a single file is scanned, finds names, ID numbers, contact details and other listed items, masks them according to your rules, shows a reviewer the redacted copy beside the original and keeps the original protected, then builds AI document redaction and PII detection document by document: files are collected into a protected folder, a detector finds the listed entity types such as names, addresses, phone numbers, emails, account numbers and ID numbers, your rules decide which are masked for which recipient, the masking removes the text from the file itself and not just covers it, a reviewer sees the redacted copy beside the original with each masked item marked, approved copies go to a sharing folder, and the original stays where only authorized people can reach it. Custom AI document redaction and PII detection can add scanned documents and batch runs.

View Pricing

One-off setup from $1,200
No monthly subscription

  • AI redaction and PII detection
  • Masked by your rules
  • Reviewer checks before sharing
AI document redaction and PII detection masking sensitive items with reviewer approval, built by BoldBellows
AI Team to AI Redaction and PII Detection: synced, zero duplicate redacted documentsStatus chip: a clock shows the log is checked every 15 minutes and was synced 2 minutes ago.CHECKED EVERY 15 MINSynced 2 min ago0 duplicate redacted documents
Plate I. Sensitive items are detected, rules decide the masks, the text is removed, a reviewer approves the copy and the original stays protected.
  • Entity types you choose names, IDs, contact details
  • Rules by recipient different masks for different people
  • Text removed, not covered masking is real
  • Reviewer sign-off before anything is shared
  • Fixed scope What is built, tested and handed over is agreed before work begins
  • One fixed price from $1,200, paid once, and the PDF handover stays with your admins

Chapter 01 the black-marker problem

A black box drawn over a name in a PDF editor often leaves the name in the file underneath

A request arrives to share records with a third party, and someone is asked to hide the personal details. They draw boxes over the names in a PDF editor, though the text underneath can still be selected and copied. They miss a phone number on page nine. Different people redact differently, so nobody can say what the policy is. When a batch of two hundred files needs the same treatment, the job takes a week. A single missed item can mean a serious problem, which makes everyone slow and nervous.

The reviewer found three items we would have missed, and the same rules applied to all two hundred files.

Note from a records manager

Boxes drawn over names

The text underneath can be copied.

A phone number missed on page nine

Nobody saw it.

Different people redact differently

No consistent policy.

Before

Before AI Team to AI Redaction and PII Detection automation: manual requests exports, duplicates and broken formulasThe old way: a corkboard of sticky notes asking which file is right, to merge tabs and to fix errors, all tied together with red string.Exportagain?Which fileis right?Merge thetabsFix #REF!Failed requestsdon't matchEmail Sam
Fig. 2a. Boxes over names.

After

After AI Team to AI Redaction and PII Detection automation: one clean log that matches AI TeamThe new way: a filing register where requests, failed requests, token budget and usage reports are filed one by one and stamped verified.FILING REGISTERRequest #104613FILEDFailed request #1039-3MATCHEDToken budget PRM-INVOI-2 requestsUPDATEDUsage report Fri128CHECKEDRequest #10477FILEDVERIFIEDNothing entered twice.
Fig. 2b. Detected, masked, reviewed.

Before

  • Anything the trigger matches is sent on
  • Redaction is done by hand with tools that leave text behind
  • Policies are applied differently by each person

After

  • A repeat finds its redacted document through the document, the detected items and the masking applied
  • Detection finds the items, rules decide the masks and text is removed for real
  • A reviewer checks every redacted copy, and the original stays protected

Chapter 02 How it works

How a document becomes a shareable copy with a protected original

Nothing is written until the change is judged and the redacted document has been looked for.

How AI Team to AI Redaction and PII Detection automation works: requests in, one clean redacted document each, on a scheduleRequests travel as letters from your AI Team project through a post office, the sync we build, which checks and cancels each one, into the mailbox that is your redaction log.PROJECTLOGYour AI projectRequests, documents, prompts,schemas, evaluationsThe sync we buildAdds new requests, fixesedited ones, double-checks ona scheduleYour redaction logRequests, entities, dailytotals, reportsREAD-ONLYACCESSONE REDACTED DOCUMENTPER REQUESTCHECKEDHow AI Team to AI Redaction and PII Detection automation works: requests in, one clean redacted document each, on a schedule, stacked: project, post office, then mailbox.PROJECTYour AIprojectRequests, documents,prompts, schemas,evaluationsThe sync webuildAdds new requests,fixes edited ones,double-checks on aLOGYourredaction logRequests, entities,daily totals, reportsREAD-ONLYACCESSONE REDACTED DOCUMENTPER REQUEST
Fig. 3. Files are collected, items detected, masks applied, a reviewer approves and the shared copy is released.

Admit only what counts

Each AI Team event is verified and logged; anything outside the agreed scope is set aside with a reason.

Detect, apply rules, mask

Sensitive items are detected, your rules decide the masks, and the text is removed from the file.

Review, release, protect

A reviewer checks the redacted copy, approved copies are released, and the original stays protected.

The reasons behind the AI Team AI design

  • Detection finds, rules decide: PII detection finds names, ID numbers, contact details and similar items in a document, and configured rules decide what is masked, so the redacted copy is checked before it is shared and the original stays protected.
  • Masking must remove the text: Because covering text with a box often leaves it in the file, the build removes the underlying text so the shared copy cannot reveal what it hides.
  • Retry rules: Retries are preceded by a check of AI Redaction and PII Detection using the document, the detected items and the masking applied, so repeating a request cannot repeat its effect.

Chapter 03 What ships in the build

How redaction works: detect, mask and review

Launch is the front door. Route is the workshop. Govern is the inspection that keeps the route honest.

Owner dashboard fed by AI Team to AI Redaction and PII Detection automationOwner dashboard as an almanac chart: a 30-day requests handled line with annotated events for a spring sale and a payday weekend, and totals below.REQUESTS HANDLED ALMANACCompleted requests handled, last 30 days0.12k0.09k0.06k0.03k1Busy period opensTUE 12THPeak weekendFRI 22ND1 MAY8 MAY15 MAY22 MAY29 MAYTOTAL4821BEST DAY384FAILED REQUEST RATE1.9%

Event qualifier

Reads the AI Team record and confirms it satisfies the trigger before AI Redaction and PII Detection is touched.

Launch

Stable identity ledger

Logs the prompt version, the structured output and the decision against the AI Team object they belong to.

Launch

Mapping contract

Holds the agreed AI Team-to-AI Redaction and PII Detection field map as a versioned contract, not a habit.

Launch

Protected intake

Collects files into a folder only authorized people can reach.

Route

Entity detection

Finds names, addresses, contact details and ID and account numbers.

Route

Masking rules

Decide what is masked for each recipient and removes the underlying text.

Route

Reviewer check

Shows the redacted copy beside the original with every masked item marked.

Govern

Release and audit

Moves approved copies to a sharing folder and logs who approved them.

Govern

Escalation list

Shows which exceptions are getting old and who has to act on them.

Govern

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Chapter 04 Who this fits

Made for finance teams that then prepare documents for sharing by finding and masking personal data automatically, with a person checking the redacted copy before it leaves

Redaction is a matter of care and consistency, and software that finds every item the same way each time helps people achieve both.

Records manager

"Redact consistently."

Rules apply to every file.

Privacy officer

"Reduce the risk of a miss."

A reviewer signs off.

Legal assistant

"Prepare disclosures."

Batches take hours.

HR manager

"Share files safely."

Personal details are masked.

IT administrator

"Protect originals."

They stay in a protected folder.

Owner

"Respond to requests faster."

The week-long job shrinks.

Chapter 05 The options

How AI Team gets into AI Redaction and PII Detection: someone with a black marker, or a PDF editor, hiding names one by one, a connector, or PII detection, rule-based masking, reviewer sign-off and a protected original

Each can draw a box. Only one finds every item, removes the text and asks a person to check.

Comparison table: How AI Team gets into AI Redaction and PII Detection: someone with a black marker, or a PDF editor, hiding names one by one, a connector, or PII detection, rule-based masking, reviewer sign-off and a protected original
Question Black boxes Missed items Our redaction route
What starts the work A team member checks AI Team Any event the zap listens to A failed request that matches your trigger definition
How identity is decided Searched by name or address Whatever field is mapped first Boxes over names and missed items
What reaches AI Redaction and PII Detection The parts someone thought of Fields forwarded unchecked Detection, real masking and sign-off
After an uncertain result It waits until somebody notices Stops with an error email Reads AI Redaction and PII Detection by the document, the detected items and the masking applied before any rewrite
BY HANDAUTOMATEDExportCopyPasteFixCheckSendEvery Monday · about 3 hours · errors creep inSync runs on its ownEvery 15 minutes · nobody's time · totals checked

An old change turns up late

A delayed AI Team event is compared with what AI Redaction and PII Detection already holds and is set aside if it would undo something newer.

A phone number appears in a footer on every page of a long document

The detector finds it on each page, masks all occurrences by rule, and the reviewer sees the footer item marked on every page. The document, the detected items and the masking applied turns the question into a lookup, and the answer is one of four: nothing, right, wrong or unclear. Everything else is an update, a no-op or a case for a person.

Before fields or branches are discussed, the document, the detected items and the masking applied is fixed, because every later decision reads from it.

Interlude Cost is shaped by documents, detected items and masks

Pricing for redaction: types and volume

Each choice below changes the scope, the price and the delivery range. The AI Team AI route starts at $1,200.

View Pricing

One setup fee · Range shown first

Pricing

Build your AI Team AI Redaction and PII Detection price

Pick a package, answer three short questions about how AI Team data should reach AI Redaction and PII Detection, and your price and turnaround move as you choose.


Choose your packageRequired

The three packages differ by how much routing, reconciliation and governance sits around the AI Team to AI Redaction and PII Detection route.

A focused production route for one AI Team event family and one governed redaction and pii detection queue, delivering AI document redaction and PII detection that finds names, ID numbers and contact details, masks them by your rules and has a reviewer check the redacted copy with identity, evidence and failure controls from day one.

  • One approved AI API & Document event family and business-state admission rule within the AI Document Redaction and PII Detection service.
  • One authorized account, workspace, organization, or base boundary within the AI Document Redaction and PII Detection service.
  • One AI Document Redaction and PII Detection object contract with field and relationship mapping
  • Stable matching through organization plus project, model, request, file, document, page, extraction, schema version, chunk, vector record, batch, tool request, evaluation, or trace ID and source identity paired with the authoritative ai document redaction and pii detection record, run, conversation, document, tool request, transaction, or decision identifier
  • Tests for duplicates, stale events, malformed data, denied access, and timeouts within the AI Document Redaction and PII Detection service.
  • Implementation map, test record, and premium PDF operations handover within the AI Document Redaction and PII Detection service.

Adds branching, existing-record matching and a bounded historical pass for teams whose AI Team signals need more than one approved redaction and pii detection path, while still delivering AI document redaction and PII detection that finds names, ID numbers and contact details, masks them by your rules and has a reviewer check the redacted copy.

  • Everything in Core
  • Up to four approved routing or state-transition branches within the AI Document Redaction and PII Detection service.
  • Existing-record resolution and one bounded historical checkpoint within the AI Document Redaction and PII Detection service.
  • Lookup-before-replay protection for uncertain writes
  • Named exception ownership and a decision-ready evidence packet within the AI Document Redaction and PII Detection service.
  • Field, permission, and destination-state validation before mutation within the AI Document Redaction and PII Detection service.

Adds reconciliation, drift detection and an aged-exception report for teams that now depend on redaction and pii detection proposals every day.

  • Everything in Managed
  • Scheduled source-to-destination reconciliation
  • Schema, field, scope, and webhook drift checks within the AI Document Redaction and PII Detection service.
  • Volume-aware retry ceilings and stale-event protection
  • Aged-exception reporting with ownership status
  • Thirty-day release watch and operating review

For the AI Document Redaction and PII Detection service, multi-business-unit routing, unrestricted bidirectional synchronization, regulated archives, unsupported extensions, or additional destination systems receive a separate written quote. Third-party subscriptions and usage charges are excluded.

Which AI Team changes should be allowed to start an AI redaction and pii detection decision?Required

Governed lifecycle set: Use this when several documented AI Team states must converge on one redaction and pii detection decision.

How should an AI Team record that already has an AI redaction and pii detection decision be recognized?Required

Ambiguity queue: Send zero-match and multi-match redaction and pii detection cases to a named reviewer instead of letting the model guess.

What should happen when an AI redaction and pii detection action can't be confirmed?Required

Managed repair case: Give every uncertain redaction and pii detection action an owner, a live-state comparison and an approved replay decision.

How soon do you need it live?Required

Standard follows the schedule your other choices set. Pay to move up the queue and go live sooner.

Optional extrasOptional

Each one begins switched off. Turn on what your rollout needs, watch the total, switch it back off.

Chapter 06 The process

Six steps from hand redaction to a checked pipeline

Six stages, one owner on your side, and a written output at the end of each.

  1. About 30 minutes

    Define what must be masked

    We list the entity types, recipients and the rules for each, and where originals are stored.

  2. Access review

    Approve access

    Scoped AI Team access, an approved model connection and an agreed approval path come first.

  3. Most of the project

    Agree review and release

    Who reviews, who approves release and where shared copies go are written down and signed off.

  4. Before you review

    Try to make it fail

    Every failure we can think of is tried against a test AI Redaction and PII Detection, and the ones that matter become written repair steps.

  5. Handover day

    Launch with notes

    Go-live begins at an agreed checkpoint, and a PDF then explains each rule and safeguard.

  6. About 30 minutes

    Thirty-day look-back

    A review at the end of the first month covers volume, exceptions, retries and anything that drifted.

Chapter 07 Turnaround

The clock, package by package

The count starts once the protected folder and typical files are available.

Launch

6 to 10 business days

Route

10 to 16 business days

Govern

16 to 24 business days

Chapter 08 Getting started

Inputs we need from you

Someone with authority over AI Team to grant read access

A protected folder for originals, a spread of typical files and the rules for each recipient

AI Team credentials we can use for the agreed resources and events

The trigger you want: what must happen in AI Team before anything is sent

A decision on which AI Team values must never reach AI Redaction and PII Detection

Confirmation of which environment is production

Chapter 09 Trust

Your data stays in its place, except what the map allows

The AI Team data in scope is minimized before the model sees it, and its output is a proposal, never a command.

Read-only AI Team to AI Redaction and PII Detection access: your data stays yoursA sealed envelope marked private and yours to open, with a read-only stamp.PrivateYOURS TO OPENREAD-ONLY

Your tools stay as they are

We work with the supported connection points of AI Team and AI Redaction and PII Detection and leave the products exactly as you run them today.

Scoped, revocable access

The route asks for read rights where it only needs to read.

Less data, less exposure

Each field sent to AI Redaction and PII Detection has a stated purpose. Sensitive values are excluded or masked before anything is written.

Look, compare, then act

An unclear write is settled by finding the redacted document and comparing it with the intended values, not by sending again.

Minimal logging

Diagnostics record status codes and checkpoints, nothing sensitive.

Full handover

At the end you receive the full documentation and can run the route without us.

"Redaction is about care, and the build adds a second pair of eyes that never gets tired, with a person still making the final decision."

Steven GrratFounder, BoldBellows

Chapter 10 In their words

What BoldBellows clients say

Verified reviews from business owners who use BoldBellows automations every day, from marketing and data to support and operations.

AI Workflow Automation for Agencies

Running a digital agency with many clients was overwhelming. BoldBellows built one automation dashboard that tracks tasks, sends updates and creates client reports automatically.

Clients love the transparency and we love the time we get back. Productivity is up, and project delays have dropped to almost zero.

Samuel BoatengVerifiedAccra, Ghana

AI Customer Journey Automation

We wanted a smoother path from first contact to purchase. BoldBellows built an AI system that guides each customer there automatically.

It sends personalized messages, recommends products and follows up at just the right moment. Customer retention has improved dramatically.

Nadia HassanVerifiedCairo, Egypt

AI Document & Contract Automation

Onboarding was slow because we wrote every contract by hand. BoldBellows automated the lot: contracts, welcome emails and client setup.

What took 48 hours now takes under 10 minutes, and clients regularly tell us how professional it feels.

Michael O’ConnorVerifiedDublin, Ireland

AI Social Comment & DM Automation

We get thousands of comments and messages every week. BoldBellows built an AI system that replies instantly, filters spam and surfaces the important ones.

Engagement is up and our page looks active around the clock. It’s like having a full social media team that never stops.

Sofia DimitrovVerifiedSofia, Bulgaria

AI CRM Automation

Our CRM was barely used because updating it by hand was tedious. BoldBellows automated data entry, tagging, segmentation and follow-ups.

Now the CRM is always up to date and our campaigns are far more accurate. It improved our whole sales pipeline.

David KimVerifiedSeoul, South Korea

AI Voice Assistant

BoldBellows built a custom AI voice assistant for our customer hotline. It answers questions, books appointments and handles simple requests.

Customers love how fast it is, and our call-centre workload dropped dramatically. One of the smartest upgrades we’ve made.

Hannah JohnsonVerifiedChicago, USA

AI Automation Partner

BoldBellows is hands-down the best AI automation partner we’ve worked with. Their systems are fast, reliable and built around how our business actually works.

Every automation they’ve delivered, from customer service to content, runs flawlessly. We’ve saved time, cut costs and grown faster than we expected.

Kwame MensahVerifiedKumasi, Ghana

AI Chatbot & Customer Support

BoldBellows built an AI support chatbot for our online boutique, and it has changed how we run the business. We used to have two full-time staff answering the same questions all day. Now the AI handles order tracking, product recommendations and even refund requests on its own.

What surprised me most is how natural it sounds. Customers compliment the ‘agent’ without realizing it’s AI. Our support workload dropped by 75% and customer satisfaction went up dramatically.

Maria GonzálezVerifiedMadrid, Spain

AI Content & Social Media Automation

Our marketing agency couldn’t keep up with content. BoldBellows set up an AI content engine that writes blog posts and captions and even designs our social media creatives.

It spots trends and suggests topics for us, so we stay ahead of competitors. We now produce three times the content with the same team, and engagement has soared. They didn’t just automate our workflow, they lifted our whole brand.

Daniel BrooksVerifiedToronto, Canada

Chapter 11 Questions

Redaction: what records and privacy teams ask

If you are weighing this up, these are the points that usually matter.

Do I need to be there?No. You send one short brief.Then you review a finished result.Search any question
Is a prompt in an AI Team automation the same thing?

A simple connector can give you documents that can be shared without exposing what they shouldn't. It will not find every sensitive item, mask it by rule and check before sharing. These are the parts the build adds.

Is the text really removed?

Yes. The underlying text is removed from the file, not just covered with a box.

Does a person check the result?

Always. A reviewer approves each redacted copy before it is released.

What does it detect?

Names, addresses, phone numbers, emails, account and ID numbers, and other types you list.

Can it handle scanned files?

Yes, with OCR, and uncertain areas are flagged for the reviewer.

Where is the original kept?

In a protected folder that only authorized people can reach.

What drives the price of redaction?

Entity types, volumes and the review steps you want set one price you can accept in writing.

Is there a written list of what leaves AI Team?

Entity types, masking rules and reviewers are agreed in advance, and no file is scanned until you sign.

Can we add our own checks before an action?

Yes. Different AI Team boards, spaces or teams can have different rules, and the price starts at $1,200.

What if the prompt needs changing?

Each external dependency is recorded. If one changes, the route refuses to guess and flags the record. Repair after the review period is a new, priced task.

Give your documents detection, real masking and a reviewer before they leave

Tell us which documents you share and who with; your written quote arrives before we scan a single file.

  • From $1,200, paid once
  • Text removed
  • Reviewer sign-off
  • No monthly fee from us