Discuss Your AI System

Start with the decision, change or uncertainty that brought you here.

You do not need to prepare a complete technical package or determine the final review route before making contact. A short, non-confidential overview is enough to establish whether an independent risk and readiness review may be useful.

Email: contact@borisabuzov.com

When to Get in Touch

A conversation may be useful when your organization is:

  • preparing to deploy an AI-enabled system or workflow;
  • deciding whether to scale an existing implementation;
  • introducing RAG, tool use or agentic capabilities;
  • increasing system permissions or operational autonomy;
  • preparing for a client handoff, enterprise review, investment or acquisition;
  • responding to recurring failures or unexplained behavior;
  • determining whether the available evidence and controls support the next step;
  • seeking an independent view before a consequential technical or business decision.

The system does not need to be complete. A review may support early design decisions, pre-deployment readiness, operational changes or a focused question about one workflow, component or control boundary.

What Happens Next

The initial information is used to understand:

  • the decision requiring support;
  • the system or workflow within scope;
  • the potential consequences of incorrect or insufficiently controlled behavior;
  • the information currently available;
  • whether an independent review is an appropriate next step.

Where the request appears suitable, the next step may be a short clarification exchange or an introductory conversation.

The appropriate review route can then be identified. This may involve:

  • an AI System Design Risk Review;
  • an Operational AI Risk Review;
  • a focused AI Agent Readiness Check as an entry option.

Where additional logs, traces, demonstrations or controlled testing are needed, an evidence-enriched depth option may be added to the selected review route.

The initial exchange is not the review itself. Its purpose is to clarify the decision, scope, practical review boundaries and the level of evidence that may be required.

Explore Services

See How the Review Works

For Consulting and Delivery Partners

Consulting firms, AI integrators and delivery partners may also use this page to discuss specialist or white-label support.

This may include support for AI system risk and readiness reviews, focused RAG or agentic-system reviews, architecture and workflow reconstruction, evidence analysis, operational controllability and evidence-supported client deliverables.

The work may be structured as:

  • a defined analytical module;
  • a specialist review workstream;
  • support within a wider client engagement.

Client ownership, communication boundaries, attribution and deliverable responsibilities are agreed before work begins.