Build trust into the system from day one — so scale doesn’t create risk.
Patterns we solve repeatedly
High-scrutiny outcomes, described honestly and anonymised.
Converted a stalled programme into a board-ready decision brief and delivery plan — reducing decision latency and rework.
Designed a lightweight AI governance model with clear ownership, controls and evidence trails across multiple teams.
Stabilised a legacy estate by prioritising the services that drive operational risk — enabling safer change under deadlines.
Defined resilience and reliability guardrails for citizen-facing services — aligning engineers and risk stakeholders early.
Grounded by real operation
DentistRadar — a live public-interest platform tracking NHS dentist availability. Independent and not NHS-affiliated.
dentistradar.co.uk
Operating real products keeps our advice practical: real users, real operations, real constraints.
QD TrustStack™ Method
Simple sequence. Fast clarity. Safer delivery at scale.
Typical engagements
Decision Brief Sprint
Ambiguity → a recommendation you can defend, plus a plan teams can execute.
Trust Architecture Blueprint
Target design, guardrails, ownership and assurance-ready documentation.
Responsible AI Governance Kit
Use-case gating, model risk controls, accountability map and evidence trails.
Every engagement is designed to produce reusable artifacts — not just advice.
Engagement model
Clear, low-friction, designed to reduce ambiguity fast.
Discovery
30–45 minutes to understand context, decisions and constraints.
Diagnostic
Rapid assessment of options, risks, dependencies and what will unblock progress.
Deliver
Executive artifacts: recommendation, plan, guardrails and decision trail.
Let’s talk
Email is fastest. Include context — we reply in 24–48h.
Subject: Advisory — [topic / decision] 1. Context (2–4 sentences): 2. Key decision(s) right now: 3. Main constraints (risk/reg/timeline/budget): 4. What good looks like: 5. Key stakeholders / roles: