Customer-safe
No odd tone, no made-up claims, no leaking someone else’s data. Clear opt-out on every thread.
AI that can speak to customers, update systems and move money — without 3am “what did it just send?” moments. UK GDPR/PECR & ASA/CAP aware, logged, and built with human approvals where it matters.
If you can’t explain it to a customer, a regulator and your own team in one slide, it isn’t safe enough.
No odd tone, no made-up claims, no leaking someone else’s data. Clear opt-out on every thread.
Patterns aligned to UK GDPR/PECR and ASA/CAP: consent, claims with evidence, audit trail.
Clear boundaries: what AI can do, what humans must do, and how to approve or override.
Least-privilege roles, read/write scoping, PII masking and field-level restrictions.
Allowed/banned claims, safe tone packs, escalation rules and decision matrices.
Hard constraints: “don’t guess; ask or escalate”, discount caps, prohibited phrases.
Different behaviour by channel, segment and risk; stateful reasoning, not free-form chat.
Draft-only by default. Approvals for money movement, adverse decisions and exceptions.
Every message, source and decision logged with time/user stamps and export for DPO.
Red-team prompts, claims checks, anomaly alerts and periodic safety reviews.
Low — AI-led. Medium — AI + human. High — human-only.
FAQs, reminders, status updates, knowledge citations. No commitments or money.
Discounts, payment plans, policy exceptions. AI drafts; human approves.
Complaints outcomes, vulnerable customers, large commercial commitments.
Automation level is documented up-front and visible in every workflow.
Soft opt-in where applicable, quiet hours, channel preferences, one-tap opt-out.
Objective statements require evidence links; banned superlatives; pre-approved offers.
No card details in chat; secure pay links; sign-off for settlements and write-offs.
Secure capture, redaction where needed, retention windows, access logs.
AI drafts & suggests; human sends the final message — ideal for cautious pilots.
Detect and adapt tone, shorten SLAs, and route to trained humans with summaries.
Assistant drafts but never sends; we compare to human replies and tag errors.
Red-team prompts, unit tests for “never promise X / never mention Y”.
Limited segment/channel with extra monitoring and real-time alerts.
Monthly safety reviews, sample conversations, prompt/policy updates.
We treat safety like uptime: continuously measured, not declared once.
Owns AI risk & guardrails; signs off on automation levels by tier.
Reviews data flows, consent patterns, retention, and subject-rights process.
Per-team owners of quality, feedback and weekly improvements.
Know how to approve, reject, escalate and report odd behaviour in one click.
Lawful basis or soft opt-in, quiet hours, explicit opt-out, consent logging, retention windows.
Evidence-linking for objective claims, banned-claims lists, no risky promises, pre-publish checks.
Role-based permissions, encryption in transit/at rest, signed webhooks and change logs.
Short answers on guardrails, compliance and delivery.
Start with a 90-minute AI Safety & Compliance Review — map risks, set guardrails, and plan a safe pilot.
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A practical, South Africa–ready AI playbook for medium-to-large companies to drive a measurable growth spurt—covering the fastest ROI use cases, a 90-day implementation sprint, POPIA-aware governance,... ...more
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February 10, 2026•5 min read

Discover how to design a complete AI prompting style guide — including tone, tool use, and evaluation frameworks — to ensure every automated message stays perfectly on-brand. ...more
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May 27, 2025•3 min read