🧑🤝🧑
Customer-safe
No weird tone, no made-up promises, no leaking other people’s data. Clear, respectful and on-brand in every message.
AI Safety • Global
AI safety for real-world businesses
AI that can talk to customers, update your systems and move money without giving Legal a heart attack. Privacy-by-design, regulator-aware, fully logged, and built with human approvals where it matters.
GDPR/CCPA-ready
Human-in-the-loop by default
Guardrails, not guesswork
What we mean by “AI safety”
Not sci-fi risk. The everyday safety that keeps customers, regulators and your own team comfortable switching AI on.
⚖️
Regulator-safe
Plays nicely with GDPR/UK-GDPR/CCPA and ad rules: consent, retention, evidence for claims, and an audit trail of who did what.
👥
Team-safe
Everyone knows what AI can do, what humans must decide, and exactly how to override, escalate or switch things off.
If you can’t explain it to a customer, a regulator and your own staff in one slide, it isn’t safe enough.
The AI safety stack — layers of protection
Not one “safety switch”, but layered controls across data, prompts, workflows and people.
🔐
Data & access
Role-based access, least-privilege integration, clear read/write boundaries and masking for sensitive fields.
📘
Policies & playbooks
Approved tone packs, allowed/banned claims, escalation rules and channel-specific do’s and don’ts in one place.
🧠
Prompts & guardrails
Hard constraints like “no discounts over X”, “no medical advice”, and “don’t guess — ask or escalate instead”.
🔀
Workflow & context
Different behaviour by channel, region and risk tier; assistants act differently with VIPs, prospects or vulnerable users.
🧑⚖️
Human-in-the-loop
Draft-only modes, approval queues for money or risk, “stop this assistant” controls and clear owners for each flow.
📜
Logging, monitoring & tests
Every conversation, source and decision logged; automated checks on tone and claims; regular red-teaming and incident reviews.
Match automation level to risk level
Some work is perfect for AI-led automation. Some must always be human-only. We make those lines explicit.
🟢
Low-risk • AI-led
FAQs, appointment reminders, “your payment cleared”, order status and internal summaries — fully automated with monitoring.
🟡
Medium-risk • AI + human
Discount offers, payment plans, renewals and policy exceptions — AI drafts & gathers context; humans approve and send.
🔴
High-risk • Human-only
Complaints decisions, vulnerable customers, major contracts and regulatory responses — AI can summarise, humans decide.
Automation level always matches risk level — and we document that up front in your AI guardrail playbook.
Safety patterns in real use-cases
The same patterns apply across sales, service, collections and internal tools — we just tune them for your stack.
✅
Consent-safe outreach
Soft-opt-in where it applies, clear opt-out in every message, quiet hours and contact preferences honoured automatically.
📣
Ad & claims safety
Objective claims tied to evidence links, banned-claims lists per client, and no unapproved health or finance promises.
💳
Payments & collections
No card details in chat, secure pay links only, human sign-off on settlements and big write-offs, respectful tone by default.
🪪
KYC & sensitive docs
Structured ID/PoA capture, redaction where needed, minimal retention and clear separation between training and transaction data.
🏠
Internal-only AI
AI drafts and suggests; staff send the final message. Ideal for cautious teams or high-stakes journeys.
🌍
Multi-region safety
Channel and region-specific templates so the same assistant behaves correctly in the EU, UK, US and beyond.
How we test & prove AI safety
We treat safety like uptime: continuously measured, not declared once in a slide deck.
👀
Shadow mode first
Assistants draft but never send. We compare against human replies, track disagreements and learn where guardrails need tightening.
🧪
Guardrail tests & red-teaming
Test prompts designed to break the rules, plus automated checks like “never promise X”, “never mention Y”, “always show opt-out”.
🎯
Small, monitored cohorts
Start in one segment or channel with extra logging and alerts before rolling out to your full customer base.
📆
Ongoing audits
Regular safety reviews with your team: sample conversations, incident walkthroughs and updates to policies, prompts and training.
People & accountability, not “the AI did it”
If everyone thinks “the AI system” is responsible, nobody is. We make ownership explicit from day one.
🏛️
Executive sponsor
Owns AI-related risk at the business level, signs off guardrail principles and decides where automation is allowed.
🔏
Privacy / compliance partner
Reviews data flows, lawful bases, retention rules and how subject rights will be supported in the new AI journeys.
🤝
AI champions
Per-team owners for day-to-day quality, feedback and continuous improvement across sales, service, ops and finance.
👂
Frontline staff
Trained on how to approve, reject, escalate and report odd behaviour — and how to improve prompts and policies over time.
Global compliance lens built in
Patterns that work across regions — with room for your lawyers to tweak the details.
🌐
Privacy & data
Designed for GDPR/UK-GDPR/CCPA: lawful basis or soft opt-in where appropriate, scoped data access and configurable retention windows.
📩
Consent & preferences
Consent capture with time/source stamps, quiet hours, channel preferences and opt-out language built into every flow.
📑
Claims & transparency
Evidence-linking for objective claims, banned-claims lists by client, and clear signalling when AI is involved in a decision.
100%
AI conversations logged for audit
0
systems we deploy without an owner & off-switch
14–30 days
to first safety-reviewed pilot
24/7
guardrails & monitoring, not “best effort”
AI Safety — FAQ
Short answers for Legal, Compliance, IT and front-line teams.
What do you mean by “AI safety” in practice?
We focus on day-to-day risk: tone, privacy, claims, money movement and escalation. Every assistant has guardrails, owners, logging and clear approval rules.
Will safety controls slow everything down?
Done right, safety speeds you up. Low-risk flows run automatically; medium/high-risk flows arrive on human desks pre-drafted with context, not as a blank page.
How do you reduce hallucinations and made-up answers?
We use retrieval with citations, banned-claims lists, safe wording packs, evaluation tests and “don’t know → escalate” rules when confidence is low.
Can this work in regulated industries (finance, health, etc.)?
Yes — many patterns are ideal for regulated environments: internal-only assistants, drafting/co-pilot modes, strict approval gates and strong audit trails.
Who owns AI risk inside our company?
We help you assign clear owners: an exec sponsor, privacy/compliance partner, AI champions per team and documented responsibilities for front-line staff.
Do we need to rebuild our stack first?
No. We work with your current tools (CRM, messaging, support, payments) and layer guardrails, logging and approvals around the flows that matter most.
Is this only for customer-facing AI, or internal tools too?
Both. Internal copilots still touch sensitive data and decisions. We apply the same safety stack to staff-facing assistants, workflows and automations.
What do we get from an AI Safety & Compliance Review?
A 90-minute working session + short report: where AI touches customers and systems today, top 5 risks and quick wins, draft guardrail principles and a 90-day safety plan.
Ready to sleep at night with AI switched on?
Start with an AI Safety & Compliance Review — then scale guardrailed, human-approved assistants once everyone is comfortable.
What Can AI Agents Do for Your Business?
Automate Repetitive Tasks
Free your team from manual work.
24/7 Customer Support
AI chatbots and voice assistants handle queries instantly.
Lead Qualification & Follow-Ups
Never miss a potential sale again.
Smart Data Processing
AI extracts and organizes insights in real time.
Sales & Marketing Automation
Streamline lead nurturing, campaigns, and outreach.
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