Preparedness intelligence: definition and method
Preparedness intelligence means linking an outside change, whether a regulation, a vendor decision or a security flaw, to the projects, teams and contracts it touches in a company, and then saying how much time is left to decide. Monitoring tells you what changes. Preparedness intelligence tells you what it touches in your organization, with the level of evidence for each link.
Why monitoring is no longer enough
Heavily regulated companies know what is changing: they have regulatory monitoring, security alerts, notices from their vendors. What they lack is the step from information to consequences.
- Changes come from three sides at once : regulation (AI Act, DORA, NIS2 directive), AI and cloud vendors (a model retired, a region closed, a price change), cybersecurity (a published flaw, an incident at a provider).
- Information about projects is scattered across the project office, IT, procurement, compliance and risk.
- The costliest effects are indirect : the team shared by two projects, the common vendor, the project waiting for another one's delivery.
The four-step method
- Spot the change that can really concern the organization, with its date and source.
- Locate what it touches : the projects, teams, vendors and contracts concerned, with the reason for each link.
- Follow the ripple effects : second-order effects, through teams, vendors and dependencies between projects.
- Prepare the decision : the time available, the options, and what remains to be confirmed before deciding.
Each link carries a level of evidence: to confirm when the effect is plausible but must be checked with the company, confirmed when a source supports it, strong when several sources agree. Nothing is presented as certain without evidence, and no decision is made without a member of the team.
What it is not
| Approach | Question it answers | What it produces |
|---|---|---|
| Regulatory monitoring | What is changing? | Alerts and summaries of the texts |
| Regulatory change management | Which obligations must we meet, and who handles them? | An inventory of obligations, controls and action plans |
| Risk management | Which risks do we face, with what probability and impact? | A risk map and register |
| Preparedness intelligence | Which projects does this change touch, by what path, and how much time is left to decide? | A map of links, with their evidence and a deadline |
These approaches complement each other. Preparedness intelligence starts from the monitoring information and existing registers, and links them to the project portfolio, where decisions are made.
An example
In a fictional bank, an AI vendor announces the retirement of a model version. Monitoring flags the announcement. Preparedness intelligence shows that two applications rely on that version: the advisors' assistant, and the identity document reading of the customer knowledge platform, whose controls will need to be revalidated. Sixty-one days remain to qualify a replacement model. That is what the Prévoq demoshows, in two clicks.
Its place in Prévoq
Preparedness intelligence is the "monitoring" pillar of Prévoq, the one that answers the question: what is changing, and what does it touch? It rests on the organization's memory, that is, the graph of its projects, teams and vendors. It then feeds the other three pillars:
- transformation indicators (KTIs), which measure where the transformation stands, beyond KPIs;
- simulation, which prices options as ranges, with visible assumptions;
- decision, tracked and measured after the fact.
Understand, simulate, decide, measure: preparedness is the entry point, to stop merely enduring change, and sometimes to trigger it.
Who it is for
Organizations running a digital and AI transformation, starting with heavily regulated sectors: regional banks, mid-sized mutuals and insurers, then energy. It serves risk and compliance, operations, IT and the transformation office. The analyses published by Méliantis show the approach on real changes: AI Act Article 50, DORA register of information, end of support for an AI model.
See what this hits in your organization
Prévoq links this kind of change to the projects, teams and contracts of your organization, with the level of evidence of each link.