PII protection and data handling
Redaction, minimisation and handling rules for personal data in transcripts, tickets and documents before any model sees them, with residency where your obligations require it.
What you get
Each deliverable names the format it arrives in. These are the formats the stack produces today.
Data-handling policy
Document
Redaction pipeline
Running and documented
Retention rules
Configuration and document
Residency map
What stays in Canada
How it works
- 1
Map the data
Which personal data enters which workflow, from where.
- 2
Minimise and redact
Fields are dropped or redacted before processing; the rule set is written.
- 3
Set retention and residency
How long, where, and what stays in Canada.
Where it fits
The teams whose pages list this capability.
What runs where
On the platform
- Redaction runs before ingestion; the platform's data stays in the regions it uses
Built for you
- Policy, rule set and residency map
Where it can run
What stays under your control
The promises that hold on every engagement, and the ones we do not make on this one.
On every engagement
- Outputs cite the document or conversation they came from, so a person can check before acting.
- A person approves anything that reaches a customer or writes to a system of record.
- Delivery is Slack, email or a document you own. Other channels are not offered.
- Fixed price, agreed before we start. Nothing numeric is published on this site.
The work runs on the TurnkeyGTM platform where it fits, and on plain software where it does not.
Not promised here
- Data stays in Canada where required; we design for your obligations and do not certify compliance.
- Redaction is measured on a sample and the residual risk is written down.
Questions we get asked
More in trust, safety & governance
AI red teaming
Adversarial testing of an AI feature — jailbreaks, prompt injection, data exfiltration, tool abuse — with findings and mitigations you can act on.
See the deliverablesAI policy and governance advisory
Acceptable-use, model-risk and data-handling policy for a team facing client, insurer or regulator questions.
See the deliverablesAI enablement workshops
Hands-on sessions that get a function from “tried the chatbot” to a working habit on its own material, with the guardrails included.
See the deliverablesHow an engagement runs
One call to scope it, one fixed price to approve, one build you can trust before it goes live, then a handover.
The full process- 1
Scope the work
A thirty-minute call on what your team does by hand every week, where the information lives, and who needs the output.
- 2
Fixed price, ROI up front
You get a written proposal with a fixed price and an honest estimate of the hours it gives back.
- 3
Build beside your process
We design and build the automation and run it next to the manual version until the outputs match and you trust them.
- 4
Hand over, keep it running
Documentation and runbooks so your team owns it.
Tell us where this fits in your week.
A thirty-minute call is enough to scope it. Fixed price, agreed before we start.