Exactly how we work

The Problem We Solve

Multiple production agents handling millions of daily LLM calls with runaway API costs, and no visibility into which prompts, models, or workflows are burning budget.

How We Do It

• Full token audit across every agent workflow using trace-level analysis
• Prompt compression to remove redundant context from every call
• Model routing that sends classification tasks to dramatically cheaper models
• Semantic caching layer for repeated retrieval-heavy queries

The Problem We Solve

Agent failures invisible until customers report them. Debugging a single failure takes days of log archaeology, in an environment where PHI cannot leave the compliance boundary.

How We Do It

• Reliability instrumentation deployed inside your SOC 2 / HIPAA boundary
• Full execution tracing: retrieval, context assembly, tool calls, generation
• Failure classification into distinct types with automated alerting
• Compliant data handling - sensitive data never leaves your infrastructure

The Problem We Solve

Agent workflows in production, but only one or two engineers who understand them. The team needs to own reliability without permanent dependence on outside help.

How We Do It

• Custom curriculum built from your actual production failure traces
• Hands-on labs on your own agents - not toy examples
• Reliability and evaluation track for senior engineers
• Skill assessments so you know exactly who can own what

The Problem We Solve

Agents processing sensitive matters with no audit trail, no human oversight mechanism, and a regulatory deadline approaching.

How We Do It

• Audit trail instrumentation across every agent decision point
• Human-in-the-loop oversight gates for high-stakes outputs
• Bias testing framework with automated regression checks
• Transparency disclosures and documentation prepared for regulators