AI Agents Control Tower
Enterprises are deploying AI agents faster than they can supervise them. Surveys of IT decision-makers published in 2026 point to the same gap: agents are in production almost everywhere, centralized governance almost nowhere. The result is agent sprawl. Few organizations can say how many agents are running, what they cost, how often they are wrong, or who owns the risk when they are.
That last question is what stalls deployments. Agents get pulled back from production not because they underperform, but because no function is willing to take ownership of a risk it cannot document. A control tower is what makes that ownership possible.
Sia helps risk, compliance and business teams put one in place. We are technology-independent, and we come with our own accelerators: governance and evaluation components already built, tested on production agent fleets, that cut months off a first deployment. Where the market covers your need, we select and implement the right platform. Where it does not, our forward deployed engineers work inside your teams to extend a market solution or build the missing layer.
- Governance and accountability. Policy framework, risk thresholds and a clear owner for every agent, mapped to EU AI Act, ISO 42001 and NIST AI RMF requirements, with the ability to authorize or block individual agent actions, and audit trails that hold up in front of a regulator or an internal auditor.
- Observability and evaluation. Agent risk scoring, automated evaluation, real-time monitoring and traceability of agent actions within the application, adversarial testing to assess resistance to guardrails and prompt injection, and dashboards that go from the full fleet down to a single agent, session or prompt.
- Performance and cost. KPIs, FinOps tracking, remediation workflows, and human escalation documented where it matters.
- Platform selection and integration. Vendor assessment across a fast-consolidating market of pure players and incumbent suites, then implementation in your existing frameworks and cloud environment.
- Custom build. Our accelerators as a starting point, extended or replaced by custom components built by our forward deployed engineers when your risk model, your regulator or your stack demands more than an off-the-shelf tool delivers.
- Adoption. Built for risk officers, auditors and managers as much as for engineering teams, because governance that only engineers can read is not governance.
The AI Agent Control Tower answers the question leadership actually asks: who owns the risk of each agent, and can we prove it. It turns AI governance from a compliance afterthought into a real-time management practice.