Introducing the AI Architect Space

Today, the Ravical Inbox Agent is active in expert firms across accounting, tax, legal, HR and insurance. It answers client questions by combining internal knowledge with the most powerful language models, drafting advice in the firm's own tone and saving time on tasks like reviewing long documents or retrieving files. With the MCP Agent, it connects seamlessly to CRMs and industry-specific tools to bring in full client context without the need for complex integrations.

What we have learned from working with expert firms is simple: the most important question today is not what AI can do, but how firms can stay in control. Which sources does the AI rely on to form an answer? Are those the right ones? How do we know the output reflects the firm's standards?

Or put another way - with agents now actively working across inboxes and tools, who oversees these agents, and who governs their quality?

That is why we are introducing the AI Architect Space - and with it, the role of the AI Architect.

A new role is emerging

AI is changing the value of expertise. What sets firms apart is no longer just the knowledge they hold, but the skills they develop in orchestrating AI responsibly. That is the role of the AI Architect.

In Ravical, an AI Architect logs into the platform to guide and supervise agents. They can see how agents are working, which knowledge sources they are using, and step in to adjust when needed. They can set the right context, such as tone of voice or domain-specific rules, and add their specific expertise into the system, to refine how outputs are generated.

The AI Architect is not a developer but a subject-matter expert who ensures that agents stay aligned with professional judgement.

Governance and control tools

The Architect Space shows exactly where AI is active inside the firm. It makes clear how agents connect to tools, what data they use, and how much work they are handling. This visibility means AI is no longer a black box: you can see where it is helping, how it is evolving, and where refinement is needed.

The Architect Space also includes governance tools that let AI Architects act on what they see. They can set guardrails, such as specifying which sources must be prioritised, or apply retrieval-augmented generation (RAG) - a technique where the model is required to ground its answers in firm-approved documents and data, rather than relying only on what it has learned during training. This ensures that every output is not just fluent but anchored in trusted sources.

This guarantees every agent reflects the standards of the firm - not just once, but continuously as adoption scales.

With these tools, firms can:

• Customise agent behaviour by office, team or domain
• Ensure outputs align with professional quality
• Maintain transparency by monitoring agent activity and impact across the firm

What's next?

The Architect Space joins the Inbox Agent and MCP Agent as the third foundation of the Ravical platform. Together, they give firms a starting point in the inbox, seamless system connectivity, and now a control room to oversee it all.

This is just the beginning. Ravical is building a full collaborative workspace where people and AI agents work together across every channel and every system. The Architect Space ensures that as this shift accelerates, firms remain firmly in charge.