Cost drag diagnostic

Map hidden friction in sixty seconds.

Estimate manual drag, uncaptured payroll, and data exposure — then unlock a prescribed roadmap.

Step 1 / 4

What is your primary industry sector?

Regulatory requirements and workflow complexities vary dramatically by domain.

What the diagnostic covers

The tools. The models. The people using them.

We do not just time document drag. We evaluate whether Copilot, Claude, or a local model would survive your actual work — and whether the team has a way to catch a plausible fake.

Quality gates

Lab standard

Deterministic release standards

Fixture datasets never pass automatically. Every production release requires mathematical thresholds on real domain cases.

Classification Accuracy

Tested against ground-truth reference datasets per chain/domain.

≥ 90.0%

Precision & Recall

Entity extraction & regulatory clause identification.

≥ 90.0%

Critical Error Threshold

Zero unflagged hallucinated identifiers or fabricated citations.

< 5.0%

Blind Human Review

Evaluators establish ground truth independently of system output.

100% Required

Claims may cite only files that exist and behavior that automated regression tests explicitly cover.

Safety controls

Agentic defense

6-stage agent execution pipeline

For agents touching financial systems, client records, or databases, safety cannot be left to probabilistic prompting.

01 DecodeStructured JSON schema validation
02 SimulateDry-run execution in isolated sandbox
03 PolicyAllowlists, spend caps & kill switches
04 PreviewPlain-language human preview
05 ApproveSingle-use SHA-256 bound token
06 ExecuteIdempotent run with logged audit hash
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Tools we work in

NVIDIA DGX SparkNVIDIA NIMvLLM / OllamaLlama 3.1 405BDeepSeek-R1Qwen2.5-CoderTemporalLangGraphModel Context Protocol (MCP)Claude CodeCursor