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AI Safety · United Kingdom

AI safety for real businesses, not sci-fi headlines

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.

UK GDPR/PECR-ready ASA/CAP-aware Human-in-the-loop Playbook, not guesswork

What we mean by AI safety

If you can’t explain it to a customer, a regulator and your own team in one slide, it isn’t safe enough.

🛟

Customer-safe

No odd tone, no made-up claims, no leaking someone else’s data. Clear opt-out on every thread.

⚖️

Regulator-safe (UK)

Patterns aligned to UK GDPR/PECR and ASA/CAP: consent, claims with evidence, audit trail.

🧩

Team-safe

Clear boundaries: what AI can do, what humans must do, and how to approve or override.

The AI safety stack — seven layers of protection

🔐

1) Data & access

Least-privilege roles, read/write scoping, PII masking and field-level restrictions.

📜

2) Policies & playbooks

Allowed/banned claims, safe tone packs, escalation rules and decision matrices.

🧱

3) Prompts & guardrails

Hard constraints: “don’t guess; ask or escalate”, discount caps, prohibited phrases.

🧭

4) Workflow & context

Different behaviour by channel, segment and risk; stateful reasoning, not free-form chat.

🧑‍⚖️

5) Human-in-the-loop

Draft-only by default. Approvals for money movement, adverse decisions and exceptions.

🧾

6) Logging & audit

Every message, source and decision logged with time/user stamps and export for DPO.

🔍

7) Monitoring & tests

Red-team prompts, claims checks, anomaly alerts and periodic safety reviews.

Match automation level to risk level

Low — AI-led. Medium — AI + human. High — human-only.

🟢

Low risk · AI-led

FAQs, reminders, status updates, knowledge citations. No commitments or money.

🟠

Medium risk · AI + human

Discounts, payment plans, policy exceptions. AI drafts; human approves.

🔴

High risk · human-only

Complaints outcomes, vulnerable customers, large commercial commitments.

Automation level is documented up-front and visible in every workflow.

Safety patterns in the wild

✉️

Consent-safe outreach

Soft opt-in where applicable, quiet hours, channel preferences, one-tap opt-out.

📣

ASA/CAP-safe claims

Objective statements require evidence links; banned superlatives; pre-approved offers.

💳

Payments & collections

No card details in chat; secure pay links; sign-off for settlements and write-offs.

🪪

KYC & sensitive docs

Secure capture, redaction where needed, retention windows, access logs.

🧑‍💻

Internal-only assist

AI drafts & suggests; human sends the final message — ideal for cautious pilots.

🚦

VIP & vulnerable flags

Detect and adapt tone, shorten SLAs, and route to trained humans with summaries.

How we test and prove safety

👀

1) Shadow mode

Assistant drafts but never sends; we compare to human replies and tag errors.

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2) Guardrail tests

Red-team prompts, unit tests for “never promise X / never mention Y”.

🎯

3) Small cohort live

Limited segment/channel with extra monitoring and real-time alerts.

📆

4) Ongoing audits

Monthly safety reviews, sample conversations, prompt/policy updates.

We treat safety like uptime: continuously measured, not declared once.

Clear roles and accountability

🧑‍✈️

Exec sponsor

Owns AI risk & guardrails; signs off on automation levels by tier.

🛡️

DPO / Compliance

Reviews data flows, consent patterns, retention, and subject-rights process.

🚀

AI champions

Per-team owners of quality, feedback and weekly improvements.

👩‍💼

Frontline staff

Know how to approve, reject, escalate and report odd behaviour in one click.

Built for the UK: GDPR, PECR and ASA/CAP

🇬🇧

UK GDPR / PECR

Lawful basis or soft opt-in, quiet hours, explicit opt-out, consent logging, retention windows.

Claims & ads (ASA/CAP)

Evidence-linking for objective claims, banned-claims lists, no risky promises, pre-publish checks.

🔏

Access & data

Role-based permissions, encryption in transit/at rest, signed webhooks and change logs.

FAQ — AI safety (UK)

Short answers on guardrails, compliance and delivery.

How is this different from “we added a safety switch”?
We use a seven-layer stack: access, policies, guardrails, workflow context, human approvals, logging and live tests — not just a filter.
Will AI still help if so many controls are on?
Yes. We automate low-risk steps end-to-end and draft medium-risk ones for approval — humans keep the high-risk calls.
Do you work with our current stack?
Yes — HubSpot/Pipedrive/Salesforce, InOne CRM, Netsuite/Sage, Stripe/PayPal/Adyen, GA4, calendars, email and webhooks.
Can Legal/DPO review & export the audit trail?
Every decision, message and approval is logged with timestamps and users; exports are available for audits.
How fast can we pilot safely?
In 2–4 weeks: shadow mode → guardrail tests → small cohort → weekly reviews. We scale once numbers and QA look solid.
Does this replace staff?
No. We remove repetitive steps so people focus on judgement, empathy and relationships — with clear approval controls.

Ready to ship AI you can sleep on?

Start with a 90-minute AI Safety & Compliance Review — map risks, set guardrails, and plan a safe pilot.

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