AI consulting services for companies: governance, architecture, and AI agents
Your team may already be using AI without anyone auditing what data it touches or who's accountable if it fails. Before the next tool, you need governance — not another loose pilot. Cyrrus Intelligence Lab is the corporate AI governance and enterprise AI architecture layer that runs transversally beneath the method's 4 phases.
What does an AI consulting service for companies do?
It helps an organization use AI with clear rules before adding more tools. At Cyrrus we don't sell tools or chatbots: we start from the AI already in use in the company and from the governance framework that makes it safe, auditable, and scalable; then we design the architecture and the agents that bring it into real processes.
When you need it
When your team already uses AI without anyone auditing what data it touches or who is accountable if it fails, or when several areas bought AI tools that don't talk to each other.
Where to start
With governance: we audit what already exists in the organization and bring it into a single framework, instead of asking each area to start from scratch.
What it isn't
It isn't a catalog of chatbots or tools, or another loose pilot: it's the governance and architecture layer that lets AI reach the business's processes.
Governance first. Tools second.
An AI initiative that starts with the tool can leave security and traceability unresolved. We start with the governance framework that makes that tool safe, auditable, and scalable.
One engine, running through all four phases.
Before you decide, read this
Frequently asked questions
Three connected fronts: corporate AI governance (who decides, who audits, and which data can be touched), enterprise AI architecture (how existing models, data, and systems connect securely and scalably), and process automation with AI agents, all under the same governance framework.
No. It's not a catalog of chatbots or tools — it's the corporate AI governance and enterprise AI architecture layer that makes it possible to implement AI in business processes securely and in an auditable way.
Governance. An AI initiative that starts with the tool can leave security and traceability unresolved; we start with the framework that makes that tool safe, auditable, and scalable.
It runs transversally beneath the four phases: it accelerates diagnosis in Construct, vendor evaluation in Identify, risk monitoring in Realize, and adoption measurement in Adopt.
We audit what already exists in the organization today and integrate it into a single governance framework, instead of asking each area to start from scratch.
Have another question?
Ready to connect the decision to the execution?
Tell us your organization's challenge. We'll set up a conversation with the right team and tell you straight whether we can help.
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