
Support attachment redaction station
Reviewable screenshot sanitization before tickets leave the team.
- For
- B2B support operations teams
- Solves
- Sensitive information remains embedded in shared screenshots.
- Delivers
- Approved sanitized attachment pack
- Built in
- about 5 weeks of creation time, MVP in 6 days
- Investment
- $14,500 for the MVP, $49,500 for the full product
- Run it
- Inside your business, or as part of your offer to clients
What it does
For b2B support operations teams, turn authorized screenshots and redaction policies into approved sanitized attachment pack.
- Detect candidate identifiers.
- Mark sensitive regions.
- Suggest redactions.
- Preserve originals securely.
- Require reviewer approval.
- Export sanitized copies.
What goes in, what comes out
- Authorized screenshots
- Redaction policies
AI drafts, people review. Technical delivery workspace with managed implementation.
- Approved sanitized attachment pack
How it works
The workflow
- InStart with
Authorized screenshots and redaction policies
- 1
The buyer creates a project
- 2
Supplies authorized screenshots and redaction policies
- 3
Confirms scope and access
- OutFinish with
Approved sanitized attachment pack
AI does the heavy lifting, people stay in charge
Detect candidate sensitive text with human confirmation. Keep model suggestions separate from verified facts. Link factual outputs to authorized input evidence and show missing information explicitly. Use deterministic checks for counts, dates, identifiers and arithmetic where applicable. A designated reviewer validates consequential outputs and signs off the delivered result.
What your team sees
Key screens: Upload tray, Redaction preview, Release log. Show a work backlog, proposed changes and verification results. Link each item to its source configuration, code or data mapping. Provide execution logs and an owner-facing health view. Keep environments and approval states clearly separated so a draft cannot be mistaken for a live change. Open with upload tray; move into redaction preview for the detailed task; finish in release log for review and handoff. Show the source record, uncertainty and approval status beside each proposed output.
Accounts and administration
Project access, environment separation, versioned changes, test evidence, owner approvals, execution logs, rollback instructions and incident handling. Include organization-scoped access, named project owners, review queues, usage limits, export history and retention settings. Never reuse private customer material for other accounts without permission.
Integrations and data access
Support inboxes, help centers, order records and customer feedback systems. Approved repositories, application APIs, execution platforms and monitoring systems. Validate current API access and behavior during discovery before promising compatibility. Begin with uploads and exports of authorized screenshots and redaction policies. Any named system or connector is a candidate requiring current access and compatibility checks; no live connection is included by default.
How we build it
We build with our own AI software development factory, so most implementations take days to a few weeks of creation time, not months. You see working software at every step, and exact timing depends on availability.
- 1
Scoping call
Day 1Thirty minutes on your process, your data and how you want to run it: for your own team, or for your clients. You get a fixed scope and price for the MVP.
- 2
MVP
6 daysOne buyer segment, one recurring use case; first modules: detect candidate identifiers; mark sensitive regions. Manual review in the loop. Built by our AI software factory.
- 3
Paid pilot
7 daysAccounts, roles, review states, audit trail and the first integration, hardened for two to three paying pilot customers.
- 4
Full product
3 weeksSelf-serve onboarding, billing, monitoring and the wider integration set.
- 5
Run and improve
MonthlyWe host, monitor and improve it for a fixed monthly fee, or hand it over to your team. How the retainer works.
Why we start with an MVP
An MVP, or minimum viable product, is the smallest version that your users can actually work with. It is not a cheap version of the full solution. It is a test, built to answer the questions that decide whether the rest is worth building.
- Pick the riskiest assumption. Here: will B2B support operations teams use it to solve "sensitive information remains embedded in shared screenshots"?
- Build only what tests it. One team, one use case, a few core modules. People do the rest by hand for now.
- Run a paid pilot. Agree the acceptance criteria, input limits and reviewer responsibilities before starting.
- Measure, then decide. Track missed sensitive fields and reviewer time. Then expand, change course or stop, with evidence instead of opinions.
MVP scope for this solution. Costed pilot: Images only; no automated deletion of originals. Start with one buyer organization and a bounded set of representative inputs. Implement the first two modules: detect candidate identifiers; mark sensitive regions. Support the third task through an assisted review queue: suggest redactions. Handle the remaining required functions manually until validated. Include input upload, source references, user correction, a reviewer approval step and export of approved sanitized attachment pack. Authentication, account isolation, deletion controls and basic operational logging are included. Specialized production certification, live write integrations and broader rollout are not included unless explicitly stated.
After the MVP. After paying customers repeatedly accept approved sanitized attachment pack, automate preserve originals securely; require reviewer approval; export sanitized copies. Add one tested read integration, reusable customer configuration and scheduled repeat delivery. Increase supported formats or teams only when evaluation cases and reviewer capacity cover the new scope. Images only; no automated deletion of originals.
What the build depends on. Authorized technical access, suitable test environments, documented APIs or schemas, secrets management, meaningful checks and recovery procedures. Obtain representative authorized inputs, an agreed review rubric and a buyer-side owner. Specific scope: Images only; no automated deletion of originals.
Investment
A planning range to start the conversation, not a quote. You pay per phase, so you can stop after the MVP.
- Phase 1
MVP
One buyer segment, one recurring use case; first modules: detect candidate identifiers; mark sensitive regions. Manual review in the loop.
- Phase 2
Paid pilot
Accounts, roles, review states, audit trail and the first integration, hardened for two to three paying pilot customers.
- Phase 3
Full product
Self-serve onboarding, billing, monitoring and the wider integration set.
Indicative total, MVP to full product$49,500about 5 weeks of creation time · start with the MVP from $14,500
Running costs per month
A rough indication of monthly hosting and AI model costs once it is live, not tested. Real costs depend on usage, file sizes and the models chosen.
| Stage | Hosting and infrastructure | AI usage | Total per month |
|---|---|---|---|
| MVP and paid pilotabout 3 customers | $30–$60 | $60–$120 | $90–$180 |
| Full productabout 50 customers | $110–$210 | $530–$1,050 | $640–$1,260 |
Run it or resell it
For your own team
B2B support operations teams run it inside the business: authorized screenshots and redaction policies in, approved sanitized attachment pack out, reviewed by your people.
As part of your offer
Agencies, consultancies and software companies can offer it to their own clients under their brand. We build and maintain it; you sell and deliver it.
Your brand, or this one
Run it under your own brand, or start from this concept style.
- primary
#917527 - accent
#5481c9 - surface
#f1ede4 - ink
#22201e
- Headings
- Archivo
- Text
- Lora
- Voice
- Warm, clear, calm under pressure
Selling it to your own clients: the go-to-market playbook
Pricing to test
Test USD 1,000-4,000 for one bounded implementation or technical review, then USD 200-1,000 monthly for defined maintenance. Hosting, vendor fees and major feature changes are separate. Prices are hypotheses. For this buyer, package the first sale around redact a sample attachment batch and the defined approved sanitized attachment pack. Record actual review effort before offering a recurring allowance. The commercial pilot fee is distinct from the platform development budget.
Message to test
Reviewable screenshot sanitization before tickets leave the team. Demonstrate the result with redact a sample attachment batch for b2B support operations teams. Use a concrete before-and-after example without promising unmeasured savings.
Where to find buyers
Support operations communities and privacy consultants
Lead magnet
Redact a sample attachment batch
The first 30 days
- Week 1: interview five prospective buyers from b2B support operations teams and inspect how they handle sensitive information remains embedded in shared screenshots.
- Week 2: prepare redact a sample attachment batch using authorized or synthetic material.
- Week 3: share the demonstration through support operations communities and privacy consultants and seek one bounded paid pilot.
- Week 4: measure missed sensitive fields and reviewer time, review delivery effort and ask for a repeat purchase. This is a validation schedule, not a promise that the full product can be built in thirty days.
Paid pilot
Agree the acceptance criteria, input limits and reviewer responsibilities before starting. Run redact a sample attachment batch and deliver approved sanitized attachment pack. Compare missed sensitive fields and reviewer time with the buyer's current process on comparable cases; include corrections, missed issues and reviewer time. Seek payment and repeat use. Stop or revise the scope if data access, accuracy or unit economics fail.
Success metrics
Missed sensitive fields and reviewer time
Retention and expansion
Build repeat use around approved sanitized attachment pack. Save approved configurations and review decisions with permission, revisit unresolved exceptions and show progress on missed sensitive fields and reviewer time. Offer a recurring volume allowance after repeat demand; expand to adjacent tasks only when the buyer asks and delivery quality remains acceptable.
Why clients would pick it
Reliable niche implementations, integration knowledge, representative tests and ongoing operational responsibility. For this concept, accumulate permissioned examples and reviewer corrections around reviewable screenshot sanitization before tickets leave the team. The durable asset is reliable task-specific execution and trusted customer configuration, not access to a general-purpose AI model.
Alternatives and positioning
Developers, system integrators, existing automation products and internal engineering work. Position this concept around reviewable screenshot sanitization before tickets leave the team. Compare it against the customer's current process on the same representative task. This is proposed differentiation; no exhaustive competitor study or uniqueness claim has been established.
Main delivery costs
Engineering, testing, cloud execution, third-party API fees, monitoring, incident response and vendor-change maintenance. Initial validation additionally budgets for synthetic samples and privacy review. Track model usage, storage, reviewer minutes, exception handling and customer support per accepted deliverable.
Safeguards
Keep customer account access scoped. Escalate missing evidence and consequential exceptions to staff. Review quality alongside any speed measure. Images only; no automated deletion of originals. Require appropriate access and publication approval. Preserve source material, label AI drafts and make corrections traceable. Measure false positives and missed cases alongside speed.