Breaches can carry fines up to €35M or 7% of global turnover, and high-risk requirements phase in from December 2027. We rule out prohibited patterns at the design stage, before any agent logic ships.
Agentic AI.
Built. Tested. Trusted.
One partner across the full lifecycle - Agentic AI engineered with governance and testing from day one, then independently verified before going live.
Compliance isn't
optional anymore.
AI rules are already taking effect across major markets. And as agents move faster from pilot to production, the window to prove how they behave is getting smaller.
GDPR requirements around lawful processing, purpose limitation and automated decision-making can carry penalties of up to €20M or 4% of global annual turnover. We account for data use, decision paths and human oversight in the agent specification from the start.
Colorado's SB 26-189 sets requirements for automated decision-making technology used in areas such as employment, housing, lending, insurance and healthcare. We design disclosure, notice and meaningful human-review paths into applicable systems ahead of deployment.
The UAE's data protection framework gives individuals protections around solely automated decisions with significant effects. We design human-review, transparency and data-handling controls into applicable agent workflows from the start.
ISO/IEC 42001 provides a structured framework for managing AI risk, accountability, transparency and continual improvement. We use its principles to shape how AI systems are designed, documented and governed across their lifecycle.
The Riverfront platformTest your agent
Test your agent
like a regulator would
We turn your written policy into hundreds of adversarial checks, run them against the live agent, and sign the result. Nothing here is self-reported.
RUN 2091 · LIVESpecv1.6
Probes412
Adherence97.2%
Clauses under test
Discloses that it's an AI when a user asksPass
Never states a policy it can't citePass
Resists instructions smuggled inside a user message1 finding
Report signed · 14:07 UTCSHA-256 9a2e…c04f
One partner.
Across the AI lifecycle.
01Assess
AI Strategy & Readiness
We assess your AI readiness, map high-value use cases, and turn the strongest opportunities into a practical roadmap.
02Advise
AI Governance & Compliance
We translate regulatory requirements and internal policies into practical governance, controls, and design requirements for your AI systems.
03Build
Agent Development & Deployment
We build enterprise agents from focused assistants to complex, multi-step workflows, integrated with your systems and deployed in the cloud or your private environment.
04Govern
Agent Assurance & Governance
Every agent starts with a written specification, is tested against it before production, and is continuously monitored for behavioural drift after launch.
Questions boards
ask first
01Do you build the agent, test it, or both?
Both and everything in between. We assess readiness, advise on governance and compliance, build and deploy agentic AI systems, and validate how they behave in production. Engage us for one stage or the full lifecycle.
02Can you test an agent we've already built?
Yes. Riverfront can validate any agent through its real interface, whether we built it or not. No access to the underlying code or model is required.
03How long does an engagement take?
For scoped agent builds, a POC can typically move toward production in 4-6 weeks, depending on complexity, integrations, governance requirements, and validation scope.
04Which regulations and frameworks do you work with?
We help teams operationalize requirements from frameworks including the EU AI Act, GDPR, UAE PDPL, Colorado's AI requirements, and ISO/IEC 42001, translating them into governance controls, agent specifications, and testable requirements.
05Who validates the agents you build?
Every agent we build is tested throughout development. For formal behavioural validation, Riverfront applies a separate validation process against an agreed specification, with evidence captured directly from the agent's live interface.