About ClearGRC

Built Around How Governance Actually Works.

ClearGRC was created from a simple observation: organizations rarely struggle because they lack processes. They struggle because compliance information is fragmented across systems, teams, and documents.

Why We Built ClearGRC

Governance should be modeled as a connected lifecycle.

Traditional GRC platforms organize work into separate modules. Requirements live in one place, policies in another, assessments somewhere else, each working in isolation.

We believed your programme should be modeled as a connected lifecycle: requirements become policies, policies become processes, assessments identify risks, controls reduce exposure, and every decision is supported by evidence.

That philosophy became ClearGRC.

Traditional approach
Requirements
Policies
Assessments
Risks
Controls
Disconnected. Duplicated. Out of sync.
ClearGRC
Requirements
Policies
Evidence
Assessments
Controls
Connected. Traceable. Always current.
Our Approach

Five principles we don't compromise on.

01
Start with authoritative requirements.
Every programme begins with obligations. ClearGRC traces every policy, control, and assessment back to the requirement that created it.
02
Build around relationships, not modules.
A change in one area should propagate through everything connected to it. Data that doesn't relate is data that can't be trusted.
03
Support every decision with evidence.
Evidence is the foundation of trust. Every claim in ClearGRC traces to the artifact that supports it, managed once and referenced everywhere.
04
Reduce duplicate work through shared controls and assessments.
Complete a control assessment once and reuse it across frameworks. Upload evidence once and reference it wherever it applies. Work should compound, not repeat.
05
Keep people accountable while using AI responsibly.
AI assists; people decide. No AI output in ClearGRC is committed without human review. Accountability stays with the people responsible, not the system.
Practical AI

AI that solves real problems.

Our AI focuses on one specific, high-value task: helping reviewers determine whether uploaded evidence is actually relevant to assessment questions.

It evaluates the evidence, explains its reasoning, and presents findings to the reviewer. The reviewer decides. No AI output enters the record without human approval.

This improves review quality without replacing professional judgment. That is what responsible AI assistance looks like in practice.

AI operates on connected context.
Because every element of the programme is linked, AI assesses evidence against the full context, not just the isolated question.
Human review is always required.
Every AI suggestion requires explicit approval before it becomes part of the record. AI accelerates review. It doesn't bypass it.
Explainability, not black boxes.
AI explains its reasoning in plain language so reviewers can make an informed decision, not just accept or reject a score.
Built for the Long Term

Designed to evolve with your programme.

As programmes mature, they encounter new frameworks, new risks, and new regulatory obligations. ClearGRC grows alongside them, preserving full traceability as scope expands.

New frameworks can be adopted without rebuilding what already exists. Existing controls, evidence, and assessments stay connected to new obligations through the same shared data model.

The goal is a programme that gets easier to manage over time, not one that accumulates technical debt with every new requirement.

The Team

Built by practitioners, for practitioners.

ClearGRC was built by practitioners with backgrounds in enterprise software engineering, cloud architecture, AI, cybersecurity, and governance. People who have delivered systems for regulated organisations and understand what it takes to run a programme that actually works at scale.

The platform reflects decisions made by people who have lived the problem, not just modelled it.

Better governance begins with better understanding.

See how ClearGRC's connected model applies to your specific obligations in 30 minutes.