Universities · Research organisations · Professional services

Know which AI work is worth doing before you fund it.

I identify the workflows where AI can create defensible value, establish the governance boundaries, and specify what implementation will require. If the evidence supports proceeding, I can build and test the pilot.

Discovery & Governance Sprint: Standard £3,500, extended £5,500 · normally one or two weeks · independent recommendation, including “do not build this.” View an illustrative brief.

All prices exclude VAT where applicable. Agreed travel and third-party costs are confirmed in writing before work starts.

Prof. Jan-Peter Herbst · Co-Director, Institute for Applied Artificial Intelligence · Chartered Manager · Verify institute role ↗

UK-based · Remote engagements internationally · On-site by agreement

Prof. Jan-Peter Herbst

Who I help

Universities, Research Institutes, Funders and Sector Bodies

Where decisions must withstand scrutiny around evidence, ethics, research integrity, data and institutional accountability.

Typical decision: should staff use AI to draft assessment feedback, and under which rules?

Professional and Business Services

Consultancies, agencies and other knowledge firms that need better internal workflows without compromising client confidence or IP.

Typical decision: can AI help prepare client reports without risking confidentiality or quality?

Funded Research-Led Organisations

Research, cultural and innovation teams with a defined workflow, decision owner and delivery budget.

Smaller starting points: Expert Input from £1,200 · workshops from £1,450

From pressure to practical systems

Most organisations already pay for AI licences. The real problem is different:

  • •No clear view of which workflows AI should touch
  • •No governance around IP, data, and quality
  • •No capacity to build and test small systems before committing serious budget
  • •Cannot afford to waste time on vague AI experiments

I help you:

  1. Identify high-value, low-risk AI use cases
  2. Set the boundaries for data, IP, quality and human oversight before anything is built
  3. Where the evidence supports it, build and test a pilot with real users, or recommend not to build
Quick readiness check

Is your organisation ready for AI?

Take the 2-minute check to get a readiness snapshot across strategy, governance, team capability, and infrastructure.

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Why work with me

Professor of Music, Research Leader, and Co-Director of the University of Huddersfield Institute for Applied Artificial Intelligence

Chartered Manager with experience designing operating models, governance, and delivery in high-scrutiny environments

Leadership of externally funded research across AHRC, DFG, Horizon Europe, Leverhulme and EPSRC programmes

Hands-on AI delivery experience, from workflow pilots to maintainable internal systems (with clear handover)

Start with the decision, not the technology

Send two sentences about the workflow or decision. I will tell you whether a Sprint, focused Expert Input, or no engagement is the proportionate next step. For a bounded review, decision or event, focused Expert Input can begin directly.