DORA · Article 30 · ICT third-party contracts

Make DORA Article 30 contract reviews more efficient.

An AI-powered copilot that helps identify relevant contractual clauses, map them to regulatory requirements and highlight potential gaps. It runs on-premise, so sensitive contract data stays within your own environment and is never sent to external cloud AI models.

How it works

Illustrative interface. Findings are suggestions for human review.

01 / The problem

Article 30 reviews are slow, manual and hard to evidence.

Reviewing ICT third-party contracts against DORA Article 30 is time-consuming. Teams manually search through lengthy contracts, interpret regulatory requirements clause by clause and document the evidence behind every conclusion.

Lengthy contracts

Relevant provisions are spread across master agreements, schedules, annexes and amendments, and have to be located by hand.

Interpretation

Each Article 30 requirement must be read against contractual language that rarely mirrors the regulation's wording.

Evidence

Reviewers need to record where each requirement is addressed, or not, in a form that can be checked and revisited.

02 / The solution

AI that does the searching, so reviewers can focus on judgement.

The copilot applies AI to the most repetitive parts of an Article 30 review and presents its findings with references back to the contract.

01

Identify requirements

Surfaces the DORA Article 30 requirements relevant to the contract, including those that apply to critical or important functions.

02

Scan contracts

Reads ICT contracts and their schedules to find the clauses that relate to each requirement.

03

Map clauses

Links each relevant clause to the specific requirement it addresses, so coverage is visible at a glance.

04

Highlight gaps

Flags requirements with no clear contractual coverage and keeps traceable evidence back to the source text for human review.

On-premise AI

The copilot runs inside your own environment. Contract text is processed there and is not sent to external cloud AI models.

03 / How it works

Three steps from contract to reviewed findings.

  1. 1

    Discover requirements

    Establish which Article 30 requirements apply to the ICT service and contract in scope.

  2. 2

    Analyse contracts

    The copilot scans the contract, locates relevant clauses and maps them to each requirement.

  3. 3

    Review findings and potential gaps

    Reviewers work through mapped clauses and flagged gaps, each linked to its source text.

04 / Human oversight

Built to support compliance professionals, not replace them.

The copilot accelerates the search and mapping work. Legal judgement and the final assessment of whether a contract meets DORA requirements remain with your team.

  • Every finding links back to the exact contract text it is based on.
  • Reviewers confirm, adjust or reject each mapping and flagged gap.
  • The platform makes no automatic compliance decisions.
  • Outputs support legal and compliance review; they are not legal advice.

05 / Demo

See how the copilot fits your Article 30 review process.