WOODLANDS ADVISORY
Use Cases · GRC, Security & Compliance

AI agents for GRC, security and compliance. Evidence that collects itself.

ISO 27001 evidence, audit readiness, security questionnaires, NIS2 gap analysis, AI register and CRA reports: the agent works with your policies, systems and evidence. Your team reviews and decides.

01ISO 27001 evidence

Audit evidence that collects itself.

Collect ISO 27001 evidence automatically

  1. InputM365 Azure GitHub
  2. AI agent
  3. OutputAudit folder
Starting point
Shortly before the ISO 27001 audit, the hunt for evidence begins across Microsoft 365, Azure, GitHub, the ticketing system and the HR system.
What the agent does
Our evidence agent collects the evidence automatically from your systems, maps it to the controls, checks completeness and files it in a structured way for the auditor.
Outcome
Your ISMS builds up its evidence continuously instead of gathering it just before the audit.
02Audit readiness

Audit-ready? Answered at any time.

Audit readiness visible at any time

  1. InputControls Policies
  2. AI agent
  3. OutputReadiness status
Starting point
“The auditor arrives in six weeks. Are we actually ready?” Then the scramble begins.
What the agent does
Every day, the agent checks for each control whether the evidence exists and is current, whether an owner is named and the policy is valid, and where a gap is open. The result is your readiness status with a concrete list of what remains.
Outcome
You know at any time what is still missing.
03Security questionnaires

The deal no longer waits for security.

Answer security questionnaires with source references

  1. InputQuestionnaire
  2. AI agent
  3. OutputAnswers + sources
Starting point
200 questions on certification, encryption, backup, MFA, incident response and data location. Sales forwards everything to security, and the deal waits.
What the agent does
The AI searches your ISMS and answers the questions based on your policies and evidence, each with a source reference.
Outcome
Instead of days of back-and-forth, a draft answer with evidence is ready.
04NIS2 gap analysis

NIS2: see what is missing. No guessing.

Identify NIS2 gaps from your documents

  1. InputDocuments Controls
  2. AI agent
  3. OutputGap list
Starting point
“We have to meet NIS2, but nobody knows exactly which evidence and measures are already in place.”
What the agent does
The agent links each requirement to existing documents and controls, identifies missing evidence and derives measures from it.
Outcome
You see which requirements are covered and where documentation or evidence is missing.
05AI register

Who uses which AI? Your register knows.

A maintained AI register under the EU AI Act

  1. InputLicences SSO
  2. AI agent
  3. OutputAI register
Starting point
Nobody knows exactly which AI tools are used in the company, for what and with which data. The EU AI Act requires AI literacy and, depending on the risk class, further obligations.
What the agent does
The agent captures AI use from licences, procurement and SSO logs, assigns each use to a risk class, shows the obligations and keeps track of training records.
Outcome
A maintained AI register instead of an all-staff email.
06CRA reporting obligation

New vulnerability? Report prepared.

Detect vulnerabilities and prepare CRA reports

  1. InputSBOM Vulnerabilities
  2. AI agent
  3. OutputDraft report
Starting point
The Cyber Resilience Act obliges manufacturers to report actively exploited vulnerabilities and severe security incidents affecting their products. The reporting obligation already applies. Yet often nobody knows exactly which software components are in which product and which version.
What the agent does
Our CRA agent maintains a software bill of materials (SBOM) for every product and every version and continuously checks it against newly disclosed vulnerabilities. It assesses which products are affected, prepares the report for the EU reporting platform and keeps the technical documentation up to date.
Outcome
With every new vulnerability you know immediately which products are affected. The report is ready as a draft instead of being pieced together under deadline pressure.
Approach

From use case to controlled agent.

A use case is a starting point, not an off-the-shelf solution. Whether and how it holds up in your organisation is decided by the process, its data, interfaces and responsibilities, not by the model.

Assess
The AI Discovery & Process Design Assessment examines whether and under which conditions your process is suited to an AI agent. A prior assessment is not mandatory.
Implement
One department. One process. One agent. One connection. Go-live happens only on your decision.
Control
Control before execution, not logging afterwards. Approvals, permissions and evidence are part of the architecture.
Model-neutral
The choice of model follows your process and your requirements, not a vendor: Anthropic, OpenAI, Microsoft, Google, Mistral, on-premises open-source models.

Which process in your organisation suits an agent?

In the initial consultation we clarify which use case fits your process and what a secure implementation requires.

Book initial consultation →

20 minutes. Confidential. No obligation.