What we do
We partner with your organizational teams to operationalize AI governance, mitigate enterprise risk, and establish continuous evaluation frameworks across AI systems ensuring every AI initiative is secure, compliant, and production-ready from inception to scale.
Our workflows integrate natively with the platforms your teams already rely on (Jira, ServiceNow, and Azure DevOps) and are fully configurable to align with your existing approval chains, compliance frameworks, and organizational structure.
AI Evaluation & Testing
Golden dataset preparation, pre-deployment validation suites, and continuous post-release monitoring — so you deploy with confidence.
AI Governance & Compliance
Framework alignment across EU AI Act, NIST AI RMF, ISO 42001, and SOC 2 — with audit-ready documentation and board-level reporting.
AI Risk Management
Continuous identification, scoring, and mitigation of risks across your AI deployments. Covers bias, drift, security, and regulatory exposure.
Fusefy's unified workflow
Most AI deployments stall because engineering, compliance, and leadership approve in silos, with no shared workflow connecting them. Fusefy closes that gap with a single, structured workflow that moves your AI use case from build to launch without the back-and-forth that typically costs teams weeks.
One Connected WorkflowEngineering
builds
Risk score and eval status attached automatically, in real time.
Compliance
review
Sees the same dashboard engineering already validated against.
Legal
sign-off
Audit-ready documentation generated automatically, no re-explaining.
Leadership
approval
Launches on schedule. Every gap closed before go-live.
AI Evaluation - Our Core Differentiator
Test before you trust.
Monitor before it matters.
Most teams skip structured AI testing for autonomous and multi-agent systems. Fusefy builds the evaluation infrastructure your models need — before and after you go live.
Golden dataset preparation
We build curated, labeled ground-truth datasets tailored to your domain — the foundation for all downstream evaluation and regression testing.
Pre-deployment validation
Structured test suites covering accuracy, fairness, adversarial inputs, hallucination rate, and latency thresholds — run before every release.
Continuous monitoring
Live dashboards tracking output quality, prompt injection attempts, distribution drift, and cost anomalies — across every model endpoint in production.
Trusted by Enterprise AI teams
Fusefy’s evaluation framework caught a critical hallucination pattern two weeks before our healthcare AI went live. That alone justified the engagement.
We needed EU AI Act alignment fast. Fusefy gave us a gap analysis, remediation plan, and audit documentation in under four weeks.
The continuous monitoring setup they built means we catch model drift in hours, not weeks. It changed how our whole team thinks about post-deployment risk.
We were bolting together five different tools to get anywhere close to audit-ready AI. Fusefy replaced all of it — architecture, risk assessment, and monitoring in one place, tied directly into our existing AWS setup. Our compliance review time dropped by more than half.
What sold us wasn't the AI models — we already had those. It was that Fusefy knew exactly which governance framework applied to which use case, out of the box. That single mapping saved our legal and risk teams weeks of back-and-forth.
Most vendors stop at deployment. Fusefy stayed with us — tracking drift, flagging performance dips, and keeping our evaluation trail audit-ready months after go-live. It's the first platform that treated monitoring as part of the job, not an afterthought.
Fusefy’s evaluation framework caught a critical hallucination pattern two weeks before our healthcare AI went live. That alone justified the engagement.
We needed EU AI Act alignment fast. Fusefy gave us a gap analysis, remediation plan, and audit documentation in under four weeks.
The continuous monitoring setup they built means we catch model drift in hours, not weeks. It changed how our whole team thinks about post-deployment risk.
We were bolting together five different tools to get anywhere close to audit-ready AI. Fusefy replaced all of it — architecture, risk assessment, and monitoring in one place, tied directly into our existing AWS setup. Our compliance review time dropped by more than half.
What sold us wasn't the AI models — we already had those. It was that Fusefy knew exactly which governance framework applied to which use case, out of the box. That single mapping saved our legal and risk teams weeks of back-and-forth.
Most vendors stop at deployment. Fusefy stayed with us — tracking drift, flagging performance dips, and keeping our evaluation trail audit-ready months after go-live. It's the first platform that treated monitoring as part of the job, not an afterthought.
Your AI needs governance, not guesswork.
Start with a free AI risk assessment. We’ll map your exposure in 48 hours.
