The AI Slop Problem
AI ships fast. It also ships exposure.
The same tools that let anyone build a system in a weekend also let them ship one with no authentication, hardcoded secrets, an open database, prompt-injection holes, or logic that quietly does the wrong thing. It looks finished, so it goes live — and the damage only shows up later as a data leak, a compliance breach, or a system nobody can safely change. "AI slop" isn't a style problem. It's an unfunded liability sitting in production. The fix isn't to stop using AI — it's to put an experienced engineering layer between the AI and the real world.
What We Do
The oversight layer between AI and production.
Whether you're building with AI, adopting it across your team, or cleaning up after it — this is the independent, experienced check that keeps it an asset.
Specialist review & validation
You (or an AI) built it — we prove whether it actually holds. Architecture review, security and logic verification, and pressure-testing of AI-built and vibe-coded systems before you trust them in production.
AI governance & guardrails
Clear usage policies and technical guardrails so your team uses AI powerfully without creating exposure — grounded in recognised frameworks, not vibes.
AI-slop & damage remediation
Something AI built or broke is leaking data, hallucinating, or embarrassing you? We contain it, fix it and secure it — the AI-specific edge of our Digital Rescue work.
Safe AI setup for business
The right accounts, software selection, hardware and prompt training to actually get value from AI — set up properly and safely, not hacked together.
Architecture & SLA consulting
Independent scoping, architecture and SLA guidance for complex or AI-heavy systems — with external specialist review on the hard parts, the way our business-systems work runs.
AI security testing
Prompt injection, data exposure and model-abuse testing for AI features — an AI-aware extension of our penetration testing, mapped to MITRE ATLAS.
How It Runs
Review, guardrail, hand back.
- Review — we examine the system, the AI usage, and where exposure actually sits
- Report — a prioritised, plain-language findings list ranked by real business risk
- Remediate & guardrail — we fix what's dangerous and put guardrails around what's risky
- Enable — set your team up to keep using AI safely, with training where it helps
- Own it — everything we build or fix is yours outright, documented and handed over
Looking for something adjacent? AI Fluency & Consulting is our AI training for teams and executives. Digital Rescue fixes broken or inherited builds of any kind. Penetration Testing covers security testing. This page is the AI-specific oversight, governance and remediation layer that ties them together.
Common Questions
Straight answers.
What is "AI slop", and why should I care?
It's what AI produces at speed without oversight — code, systems or content that looks finished but hides real problems: missing security, exposed data, broken logic, unmaintainable structure. You should care because it usually ships to production looking fine and only reveals itself later as a leak, a breach or a system nobody can safely touch.
We vibe-coded our MVP — can you check it before we launch?
Yes, and that's one of the smartest things you can do. We review the architecture, security and logic of AI-built systems and pressure-test them, then give you a clear list of what's safe, what to fix, and what to rebuild — before it's carrying real users and real data.
Can you fix something AI already broke or exposed?
Yes. If an AI-built system is leaking data, behaving unpredictably or has already caused damage, we contain it, remediate it and secure it — then guardrail it so it doesn't happen again.
Do you replace our team or work with them?
We work with them. The goal is to make your people use AI safely and well — we provide the independent oversight, fix what's dangerous, and set up the guardrails and training so the capability stays in-house.
How is this different from your AI Fluency programme?
AI Fluency is training — teaching people to understand and use AI well. This page is technical oversight and remediation — reviewing, guardrailing, securing and fixing AI systems. Many clients use both: training to build the capability, oversight to keep it safe.