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AI programme delivery for finance and MedTech

88% of enterprise agent pilots never reach production. We change that.

In a regulated enterprise, delivery is a programme management problem.

Auron Advisory takes AI from pilot to production for banks, insurers and MedTech firms, owning strategy, delivery, governance and adoption, not only the technology.

Forrester and Anaconda, 2026, cited in The $9 Trillion Signal.

Where programmes stop

89% of organisations use AI regularly. 37% can point to any EBIT impact. The distance between those two numbers is made of decisions nobody signed. Find the gate your programme is standing at.

McKinsey & Company, Technology Trends Outlook 2026.
The decision
Which AI cases the enterprise funds this year, what each one is worth, and who signs for the number.
Where it stalls
A list of pilots with no order, no owner and no agreed measure. Every case looks fundable, so none is.
What Auron does
The AI Opportunity Assessment: every case typed, scored and sequenced, with the measure agreed with the CFO before build starts.

Stopped between gates, with the sponsor asking why? That is programme rescue.

Engagements

Where AI pays back, and how it gets built

Most engagements start with the Assessment. From there we deliver the prioritised cases into production, or step in where a programme has stalled.

AI Opportunity Assessment

Know exactly where AI pays back, and in what order to build it. A strong AI portfolio holds three kinds of business case, each funded and measured on its own terms. We map your opportunities across all three, then deliver a prioritised, decision-ready roadmap.

Format
Fixed fee
Duration
2 to 4 weeks from kickoff
Output
Decision-ready roadmap
  • Use case inventory mapped across Defend, Extend and Upend
  • Scoring against business value, feasibility, regulatory risk, readiness and time to value
  • A portfolio funded and measured on each case's own terms
  • Compliance and governance framework (FINMA, EU AI Act, nDSG)
  • Delivery roadmap with timelines and dependency mapping
DefendReturn on Employee

AI augments people, so productivity and decisions improve and competitive parity holds. Value is measured in adoption and time saved, not one P&L line.

ExtendReturn on Investment

A specific process is re-engineered for differentiation and a measurable financial result, tied to an owned, pre-existing business metric.

UpendReturn on Future

AI opens a market, product or model that did not exist before: a venture bet judged on strategic position and optionality, not next quarter's payback.

Framework: Gartner, The 3 Business Cases of Generative AI Value (Suda and LeHong, 2025).

AI programme delivery

We take the prioritised cases into production. Strategy, delivery and adoption stay in one team, evaluation runs from the first sprint, and release gates are ones the risk function can sign.

Programme rescue

For AI and transformation programmes that have stalled under pressure. We stabilise the team, reset priorities with the sponsors and restore a credible path to delivery.

Method

How we work

The measure comes first

We agree how each AI business case will be measured with the CFO before build starts.

One team, strategy to adoption

The business case and the programme that delivers it are written by the same people.

Testing from the first sprint

Acceptance criteria come before the model is chosen, and test sets are owned by the business.

Regulation as a design input

FINMA, AML and KYC requirements shape the design from day one, not the audit at the end.

Field notes

Latest field notes

Organised by the three themes we work on in the field: Macro and Sovereign, Return on Investment, Client Success.

All insights
Track record
Experience built at
  • Novartis
  • Givaudan
  • Credit Suisse
  • Atlas Copco
  • SIX Group
  • Finastra
  • Medela
  • SEB
Get in touch

Let's talk about your AI programme.

Tell us where your programme stands. We will tell you plainly what it would take to reach production.

Base
Zug, Switzerland