Use TPPC without turning privacy into guesswork.
TPPC is fully managed by default. That means the trust story has to be explicit: what goes in, what is stored, what stays human, and how anonymous mode changes the evidence standard.
Managed by default
TPPC runs the implementation engine inside the product. Teams do not manage low-level AI instructions, API keys, provider routing, or orchestration details to get value from the workflow diagnosis.
Anonymous mode is real
A team can use anonymous mode to avoid sharing company names, employee names, customer names, or exact system names. TPPC then asks for more explicit proof before it recommends activation.
Approvals stay visible
TPPC is built to preserve review, approval, fallback, and rollback boundaries. The product should implement AI into repetitive work without hiding accountability.
What you can feed into TPPC
- • Narrative descriptions of the workflow and why it matters.
- • Examples such as SOPs, screenshots, spreadsheets, tickets, notes, or redacted exports.
- • Governance context: who starts the work, who reviews, who approves, and what must remain human.
What TPPC produces
- • Current-state workflow map, friction analysis, and AI-worthiness decisions.
- • Recommended stack, governance design, validation plan, and rollout readiness.
- • Organization-level executive reports, portfolio sequencing, and checkpoint history when multiple workflows exist.
What privacy controls exist at the workspace level
- • Allow or disable raw-upload storage inside the workspace.
- • Allow or disable report exports.
- • Allow or disable cross-workflow learning inside the same organization workspace.
Redact identity, not decision quality.
Anonymous mode is designed for teams that do not want to share company identity, person names, customer names, or exact tool names.
When anonymous mode is enabled, TPPC intentionally raises the standard for proof. One more measured example, export, or redacted workflow walkthrough will usually improve confidence faster than adding more generic description.
That is deliberate. Anonymous mode should protect the team without pretending that less context gives the same diagnostic certainty.
- • TPPC is a fully managed product, so trust depends on data minimization, clear workspace controls, and transparent report behavior.
- • Anonymous mode reduces assumptions but can lower confidence until the user provides one more proof-style or measured signal.
- • A serious pilot should validate one workflow first: what was uploaded, what was stored, what remained human, and what changed in the recommendation after more evidence was added.
Before you fund an AI pilot, find the step worth implementing.
Run the free fit check first. If TPPC understands the workflow, the one-time $295 review returns the AI-worthy step, human boundary, risk gates, evidence plan, and rollout recommendation automatically.
No subscription or meeting required. If one missing fact could change the decision, TPPC asks one secure clarification and resumes automatically.
Most complete reviews are delivered as a secure report and executive PDF within 10 minutes.