Release.art offers a set of applied solutions and foundational services designed for organisations that operate under audit, governance, and regulatory scrutiny.

Our focus is on systems that remain explainable, reviewable, and maintainable over time. We prioritise evidence, provenance, and clear operating boundaries.

Infrastructure-focused engagements typically concentrate on cloud estates in AWS and Azure, while still supporting mixed or hybrid environments when appropriate.


How our products fit together

Most organisations do not need a single “AI platform”. They need a set of governed capabilities that can be composed safely.

Our work typically falls into three layers:

Applied solutions
User-facing tools and workflows that support regulated decision-making with evidence-first outputs.
Foundational services
Pipelines and controls that make data and documents usable for analytics, ML, and AI in a defensible way.
Independent review
Assessment of operational reality, risks, and automation readiness across systems and processes.

You can engage with a single capability, or combine multiple services depending on your context.


Applied solutions

Regulatory Compliance Assistant

AI-assisted compliance review workflows with human oversight, evidence trails, and audit-ready draft outputs.

Typical uses include advertising and promotional material reviews, internal pre-assessments, and evidence-backed preparation for audit or peer review.

View Regulatory Compliance Assistant


Knowledge Management and Retrieval

A governed approach to discovery and retrieval across distributed documentation, communications, and records.

This is designed to support a long-term transition towards more coherent organisational knowledge, without claiming that a consultancy can “deliver” knowledge unification in a fixed engagement.

View Knowledge Management and Retrieval


Foundational services

These services are commonly used as building blocks for applied solutions, analytics programmes, and AI-assisted workflows.

Model Context Protocol (MCP) Services

Read-only MCP access to authoritative UK regulatory and corporate data, designed for internal use in regulated environments.

Current MCP services include FCA regulatory data and Companies House data, with additional sources available on request.

View MCP Services


Web Evidence Capture and Monitoring

Evidence-grade capture and monitoring of public web content, producing reviewable web snapshots that can be referenced in compliance, audit, and regulated workflows.

This is commonly used inside compliance workflows, but can also operate as a standalone evidence capability.

View Web Evidence Capture and Monitoring


Document Data Extraction and Processing

Consultancy-led pipelines that extract structured data from documents and store it in a form suitable for downstream use, such as a data lake, database, or controlled shared storage.

Designed for traceability, repeatability, and long-term reuse in analytics, ML, and regulated workflows.

View Document Data Extraction and Processing


Data Quality Assurance

A service that assesses and documents data quality, provenance, and limitations for analytics, ML, and AI systems.

This helps teams avoid hidden assumptions and improves the defensibility of decisions built on data, including AI-assisted outputs.

View Data Quality Assurance


Digital Asset Classification and Tagging

Classification and tagging pipelines that help organisations understand what assets contain, how they relate to processes or cases, and how they can be governed and reused safely.

Often used as a foundation for broader knowledge management and retrieval work.

View Digital Asset Classification and Tagging


Independent review

IT Operations and Infrastructure Review

An independent review of operational reality across infrastructure, data flows, and document workflows, with findings that can be shared internally and used to plan safe automation.

This is frequently used as the starting point for regulated automation programmes, or to validate readiness for analytics, ML, or AI adoption.

View IT Operations and Infrastructure Review


Typical engagement paths

Organisations commonly start with one of the following routes:

Start with an applied need
Deploy an applied solution such as the Compliance Assistant, then extend foundations as required (MCP, evidence capture, document pipelines, data quality).
Start with foundations
Establish controlled data access, evidence capture, and document processing first, then build internal tools on top.
Start with a review
Use an IT Operations Review to identify operational risks and decide where automation can be introduced safely.

Procurement and audit posture

Across all products and services, we design for:

  • Human oversight and clear accountability
  • Evidence trails and traceable outputs
  • Read-only or controlled access models where appropriate
  • Documentation that supports internal review and audit
  • Pragmatic delivery that fits real operating teams