What We Do · AI Advisory
AI readiness, built to withstand scrutiny
bigspark leads AI readiness using proven methods learned working with Tier 1 banks and regulators. As practitioners, we specialise in readiness under regulatory constraint and complex data-sovereignty scenarios — aligning your adoption of AI with your strategy, governance, technology and infrastructure so that traceability and auditability are built in.
We work fluently across the regimes and standards that govern AI in regulated industries:
How we engage
A simple, repeatable method — accelerated by our library of tools and machine-readable rule bases.
Identify your need
We start by understanding where you are, your risk appetite and the regulatory context you operate in.
Scope the need
We define the outcome, the constraints and the path to it — sized to your organisation's maturity.
Deliver the response
We deliver using state-of-the-art techniques and our library of reusable tools and accelerators.
Our AI Advisory services
Ready-to-go services, offered as clear SKUs and charged on outcomes — at every stage of the AI lifecycle.
Set your AI direction — board-ready
- Facilitated workshop to set AI principles and risk appetite
- Build vs. buy vs. partner posture advice, based on organisation size and risk profile
- Use-case prioritisation scored against your risk appetite and jurisdiction
Know your exposure, close the gaps
- Horizon scanning for relevant regimes (UK GDPR/ICO, FCA/PRA, EU AI Act) to gauge regulatory exposure
- Gap analysis against law, regulator guidance and standards (ISO 42001, NIST AI RMF) with a prioritised remediation plan
- Drafting and updating AI-specific policy and standards, ready for legal and audit
Embed AI accountability into how you run
- Target operating model design — where AI accountability sits relative to model risk and data governance
- Accountability structure mapped to SMCR and other territorial regimes
- Role-specific training
- Operating procedures across the AI lifecycle: intake, development, validation, deployment, monitoring, retirement
Control from experiment to production
- Build and maintain an AI inventory / register
- Approval checkpoint design — a proven control from experiment to production
- Independent governance control and validation
- Reporting tailored to board, regulator and Internal Audit
Hands-on delivery in a regulated setting
- Experimentation and validation of AI use cases with cost and ROI estimates
- Data pipeline monitoring for drift, quality degradation and lineage
- Bias and fairness testing — pre-deployment and ongoing
- Explainability documentation, contestability and redress handling
- Licence, provenance and IP review across training data, third-party and open-source models
- Third-party / vendor AI risk assessment and AI incident response playbooks
- Change management, staff communications and ongoing audit-readiness reviews
What makes us different
Legal and engineering, together
Our workforce is trained across legal, AI product and engineering methods — so advice is grounded in what can actually be built and defended.
Machine-readable regulatory rule bases
Our accelerators encode regulation and proven best practice, so we start from a library rather than a blank page.
Composable, reusable solutions
Rapid delivery at any stage of the AI lifecycle and any level of organisational maturity. No job is too big or too small.
Priced on outcomes
Ready-to-go services offered as clear SKUs and charged on outcomes — simple to buy, easy to scope.
Ready to get AI-ready?
Talk to us about aligning your AI adoption with the regulation you operate under — whatever stage you're at.
Get in Touch