Capabilities / AI Strategy, Governance & Evaluation
Decide where AI is worth it — and where it isn't.
Readiness assessments, roadmaps, evaluation, red-teaming, governance and EU AI Act compliance assessment that de-risk enterprise AI before and after you build.
[ The problem ]
Most enterprises struggle to choose, evaluate and govern AI honestly.
Too many AI initiatives are chosen for novelty, evaluated on a vendor's benchmark instead of your data, and deployed without a governance framework that can survive an audit. That's expensive to unwind after the fact.
[ What Blue Iceberg provides ]
Strategy & discovery
- AI readiness assessments
- AI opportunity discovery
- Enterprise AI roadmap
- Build vs buy analysis
- AI transformation strategy
Architecture & adoption
- AI architecture consulting
- Deployment strategy
- ROI modelling
- Enterprise AI adoption consulting
Evaluation & assurance
- Model evaluation
- LLM benchmarking
- Hallucination testing
- AI red-teaming
- Security testing
Governance & compliance
- AI governance frameworks
- Data governance
- EU AI Act compliance assessment
- AI risk, bias & impact assessment
- Conformity & technical documentation
- Human-in-the-loop review protocols
- Responsible AI training
[ Use cases ]
Readiness assessment
Before committing budget, understand which of your AI ideas are actually worth building — and which aren't.
Independent model evaluation
A vendor claims their model works for your use case. We test that claim against your data, not their benchmark.
Governance framework
Define the policies, approval thresholds and evaluation practices your organization needs before AI reaches production scale.
Red-teaming a deployed system
Adversarial testing of a system already in production — including one we didn't build — to find failure modes before your users do.
EU AI Act compliance assessment
Classify your AI systems against the Act's risk tiers, find the gaps in documentation, oversight and transparency, and leave with an audit-ready remediation plan.
Bias & fairness audit
Test a model's outputs across the groups it actually serves, document where they diverge, and decide what's acceptable before a regulator or customer asks.
[ AI Act compliance assessment ]
Prove your AI systems are safe, compliant and trustworthy.
The EU AI Act (Regulation 2024/1689) puts concrete obligations on anyone who builds or deploys AI in or for the EU — risk classification, technical documentation, human oversight, transparency and post-market monitoring. We run a human-supervised assessment of each system against those obligations and against the requirements for trustworthy AI, and hand back a gap register, a remediation plan and the documentation a regulator or auditor will ask for.
Human agency & oversight
Who can intervene, override or halt the system — and whether they actually can in practice, not just on paper.
Technical robustness & safety
Accuracy, resilience to adversarial input, fallback behaviour and how failure is detected and contained.
Privacy & data governance
Lawful basis, data minimisation, retention, and whether training and inference data stay where they're supposed to.
Transparency
Whether users know they're interacting with AI, whether outputs are explainable, and whether documentation matches the system.
Fairness & non-discrimination
Measured performance across the populations the system serves, and where outcomes diverge.
Accountability
Ownership, logging, audit trails and incident handling — who answers for the system when something goes wrong.
What you get
- Risk classification per system under the AI Act
- Gap register mapped to specific obligations
- Prioritised remediation plan with owners
- Technical documentation and conformity evidence
- Human-in-the-loop review protocols for high-stakes decisions
- Responsible AI workshops for the teams who operate the systems
An assessment is an engineering and governance review, not legal advice, and it does not by itself constitute certification. Where formal conformity assessment or certification is required, we scope that explicitly and work alongside your legal counsel.
[ Process ]
Discovery to roadmap.
Discovery
Understand the business problem, the data, and what "working" would mean.
Prioritization
Rank candidate use cases by value and feasibility, not by novelty.
Architecture options
Lay out the realistic ways to build it, with trade-offs made explicit.
Evaluation plan
Define how you'll know if the system actually works before it's trusted.
Governance framework
Set the policies and approval gates the system will operate under.
Roadmap
Sequence the work — what to build first, what to defer, what not to build.
[ Engagement model ]
Most governance and strategy engagements start as a fixed-scope assessment — typically weeks, not months — that ends in a concrete roadmap or governance framework. Whether implementation follows is a separate decision, made with the findings in hand, not assumed up front.
FAQs
Can you evaluate a system you didn't build?
Yes — independent evaluation and red-teaming are offered for systems built by other vendors or in-house teams.
Do you push us toward building something?
No. Build-vs-buy analysis is part of the work, and "don't build this" is a valid, common outcome.
Can you assess our AI systems against the EU AI Act?
Yes. We classify each system under the Act's risk tiers, assess it against the obligations that apply — documentation, human oversight, transparency, data governance, robustness and post-market monitoring — and deliver a gap register, remediation plan and the technical documentation a regulator or auditor will ask for. The assessment is an engineering and governance review, not legal advice; where certification is required we scope it explicitly alongside your counsel.
We're not in the EU — does the AI Act still matter?
It applies to systems placed on the EU market or whose output is used in the EU, regardless of where the provider sits. Even outside its scope, the same assessment maps well to ISO/IEC 42001, the NIST AI Risk Management Framework and sector regulation in your own jurisdiction, so the work carries over.
How long does a readiness assessment take?
It depends on scope, but most run a few weeks — enough to be grounded in your actual data and constraints, not a generic framework.
Not sure where to start?
A short conversation is usually enough to tell whether you need a readiness assessment, a governance framework, or neither yet.