Why enterprise AI agents fail
Pain 1: Agent behavior drift
Agents don't fail all at once - they drift. A support agent hallucinates refund policies, a finance agent miscalculates risk scores, a legal agent cites outdated case law. Without domain expert monitoring, drift compounds silently until a customer or regulator surfaces it.
Pain 2: Evaluation gaps
Generic benchmarks test what a model can do in a lab, not what your agent does in your environment. An agent scoring 95% on a benchmark can score 60% on your actual workflows.
Pain 3: Compliance exposure
When your agent denies a loan, triages a patient wrong, or auto-rejects a candidate - someone will ask why. 'The model decided' is not an answer. You need provenance for every decision.
How Sourcebae fixes it
Contextual evaluation engine
We build evaluations from your actual workflows, not generic benchmarks - then staff them with credentialed experts in the agent's deployment domain.
Customer support agents reviewed by CX specialists. Healthcare agents reviewed by licensed physicians. Legal agents reviewed by bar-admitted attorneys. Finance agents reviewed by Chartered Accountants. Engineering agents reviewed by senior production engineers. HR agents reviewed by certified HR professionals. Supply chain agents reviewed by operations specialists. Research agents reviewed by doctoral researchers.
Whatever domain your agent operates in, the evaluator holds real credentials in that domain.
Real-time monitoring with human escalation
Continuous monitoring of agent outputs in production. When drift crosses thresholds, credentialed domain experts begin review within 15 minutes - not a generic support queue.
Compliance-ready provenance
Every evaluation, alert, and expert review is logged with full provenance - who reviewed it, their credentials, when, and the outcome. Audit trail mapped to HIPAA, SOX, GDPR. One-click compliance reports.
How it works
Every step is built on Sourcebae platform tooling - not spreadsheets, not Slack threads, not manual coordination.
Evaluation design
We partner with your team to build eval scenarios from your real workflows. Median design-to-pilot: 5 business days.
SAIRA-powered expert matching
Our AI vetting system matches credentialed evaluators to your agent's domain. Credential-verified before they touch your pipeline.
Expert evaluation
Credentialed experts score agent outputs, flag failure modes and reasoning gaps. Detailed report with priorities.
Improvement pathways
Eval results map directly to targeted fixes - data, fine-tuning, prompts - prioritized by business impact.
Continuous monitoring
Post-deployment drift detection with automatic credentialed expert re-evaluation. Full provenance trail.
Measurable impact on agent reliability
Metrics from 2024–2026 client engagements. Methodology on request.
3x
Faster pilot-to-production vs. industry median
0.91
Inter-evaluator agreement on specialist assessments
5+
Enterprise verticals evaluated in production
<15
Min human escalation SLA for drift-triggered reviews
Frequently asked questions
Agentic AI for enterprise refers to AI systems that can perform multi-step tasks, make contextual decisions, and support business workflows with greater autonomy. These systems need careful evaluation, domain context, and continuous improvement before they can be trusted at scale.
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