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Calibrant

Services

Engagements scoped to outcomes

Three types of engagements: team, group and cohort training, 1-on-1 consultation, and governance advisory. Each has a clear audience, defined deliverables, and specific outcomes.

Fig 0.1

Team, group & cohort training

For teams, cohorts, and programmes

AI safety and governance training for groups: in-house team programmes, group workshops, executive briefings, and full cohort design and facilitation for education programmes.

Training is built for a specific room: an executive group that needs a shared read on AI risk, an engineering team that needs the governance picture, a mixed department where both sides need to talk to each other, or an education cohort working through the field in structured sessions. Drawing on experience facilitating international cohorts, sessions are designed to include structured discussion and frameworks which can be used for specific team cases. Delivery scales from a single half-day workshop to a multi-week programme across several cohorts, depending on the need. It also covers the staff AI-literacy obligations that are now live under the EU AI Act.

Formats

  • In-house team programmes
  • Group workshops & executive briefings
  • Cohort design & facilitation
  • Guest teaching & talks
  • Train-the-trainer handover

What’s delivered

  • A programme scoped to the group's work, risk exposure, and live decisions
  • Live facilitation for technical, strategic, and mixed audiences
  • Applied frameworks (incentive mapping, kill chains, defence-in-depth) run against real cases
  • Curriculum framing and cohort design where the format calls for it
  • Materials, prompt packs, and a follow-up cadence the group keeps

Outcome

A group that reasons about AI risk in one shared language and applies it to its own work.

Format
Half-day workshop to multi-session programme or full cohort · remote or on-site
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Fig 0.2

1-on-1 AI safety consultation

For individual professionals

Direct 1-on-1 consultation on AI safety and governance questions: a technical safety problem, a position you have to defend, a research direction, or where your career goes next.

Consultation covers the substance of AI safety and governance work, and career direction is one topic among several: a researcher pressure-testing an evaluation design, a governance lead drafting a position for a regulator, a technical professional weighing a move into policy, or someone testing whether the field fits at all. Each session works through the question you bring and returns a considered answer with the reasoning behind it. Sessions can be booked one at a time or as a recurring block, depending on the need.

Common topics

  • Technical AI safety questions
  • Governance & policy positions
  • Research direction & review
  • Career direction in the field

What’s delivered

  • Sessions on the AI safety or governance question you bring, from technical alignment to policy positioning
  • A second opinion on decisions, drafts, submissions, and research direction
  • Field navigation across research, policy, and industry routes when career direction is the question

Outcome

A clear read on the question in front of you, and the reasoning to defend it.

Format
Single session or recurring block · remote
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Fig 0.3

Frontier AI governance & strategy advisory

For organisations adopting AI

Advisory for organisations adopting AI responsibly, translating frontier-AI risk into defensible governance and decisions.

Advisory work sits alongside the people doing the deciding: a policy that has to survive a regulator, an adoption plan that has to survive an incident, or a board paper that has to survive questions. The work produces the artefacts, frameworks, controls and decision records, along with the reasoning behind them, so the position holds once the engagement ends. Scope runs from a fixed project to a standing retainer, and pairs with the training track where capability is the gap as well as policy.

Typical scopes

  • AI governance framework build
  • EU AI Act & NIS2 alignment
  • AI adoption strategy
  • Board & executive decision support

What’s delivered

  • Governance frameworks and risk-management methodology
  • AI strategy: incentive mapping, threat analysis, defence-in-depth
  • Regulatory alignment (EU AI Act, NIS2, ISO 22301), including staff AI-literacy duties

Outcome

Governance you can defend to a board, a regulator, and yourself.

Format
Retainer or fixed-scope project · remote or on-site
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For organisations · What’s changing, and when

The obligations are arriving on a clock

The EU AI Act applies in stages. Several duties are already live and more follow, and the preparation that makes each date manageable takes months of work.

  1. Feb 2025Live

    Prohibited practices & AI literacy

    Bans on unacceptable-risk AI apply, alongside staff AI-literacy obligations.

  2. Aug 2025Live

    General-purpose AI model rules

    Obligations for GPAI models and the EU AI Act governance structure take effect.

  3. Aug 2026Live

    High-risk systems & broad applicability

    Most high-risk obligations apply and the bulk of the Act becomes generally applicable.

  4. Aug 2027Upcoming

    High-risk products under existing law

    Obligations extend to high-risk AI embedded in products already covered by EU safety law.

Dates reflect the staggered application of Regulation (EU) 2024/1689. This is general information and does not constitute legal advice.

Selected work

What the work looks like

Case 01

Embedding AI into crisis & resilience practice

Enterprise resilience · Big4

Context
A Big4 business-resilience practice wanted to adopt AI across crisis, trust, and reputation management without compromising defensibility.
Approach
Built a proof-of-concept automating enterprise-risk processes with AI/ML and LLMs, and designed the surrounding controls against ISO 22301 and NIS2.
Outcome
A working, governable path to AI-assisted resilience - automation paired with controls that stand up to scrutiny.
Case 02

Facilitating international AI-safety cohorts

AI safety education · International cohorts

Context
International technical and non-technical professionals needed to move from awareness of frontier-AI risk to applying it in their own domains.
Approach
Designed and facilitated cohorts across AI strategy, frontier governance, and technical safety - using incentive mapping, kill chains, and defence-in-depth.
Outcome
Participants left able to apply AI-strategy concepts in their own work - consistently reflected in their feedback.
Case 03

Standing up AI-ethics advocacy at EU level

AI policy · Non-profit

Context
Europe's AI-governance conversation needed credible, independent civil-society representation as the EU AI Act took shape.
Approach
Co-founded Encode Europe and led European strategy; participated in the EU AI Pact and engaged in the public policy conversation.
Outcome
An EU-level AI-ethics voice - cited in The Guardian and active in the EU AI Pact.

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