Earned value without optimism: baselines, evidenced progress and cited narratives
Baselinecast locks baselines, captures attested progress, computes CPI/SPI deterministically, and drafts variance narratives that must cite facts.
Human in the Loop
Articles tagged Human in the Loop.
The project execution cockpit: RFIs, look-aheads and field issues in one queue
Crewspan turns RFI and submittal backlogs, three-week look-aheads and field issues into AI-drafted, human-gated coordination for mid-market GCs.
Estimating with a gate: quantity take-off that cannot auto-confirm
Quantspan structures take-offs against governed rate books and blocks bid export until humans confirm every AI-proposed line.
Construction drawings intelligence: from PDF sheets to take-off-ready geometry
Planvector turns construction sheet PDFs into versioned, confidence-scored geometry — with a human gate before take-off export.
Operations control in aviation and logistics: managing disruption as a workflow
Operations-control applications that turn disruption handling into a shared, auditable workflow with AI-assisted recovery options and human decisions.
Referrals and care coordination: the administrative workflows around care
Healthcare operations applications for referrals, pre-authorization and care coordination, with AI on paperwork and humans on every clinical decision.
AI in the SOC: alert triage and investigation with evidence
Security operations applications that use AI to enrich, summarize and prioritize alerts while analysts keep the decisions and the evidence trail.
Document intelligence in regulated workflows: extraction with verification
Extracting data from documents with AI is easy to demo and hard to trust. How to build extraction with validation, confidence and human review.
AI-assisted case management: summaries, triage and human decisions
Case management across government services and enterprise operations: intake, triage, assignment, decisions and appeals, with AI assisting.
Agentic automation with human checkpoints
How to use AI agents in enterprise workflows safely: bounded tools, read-before-write, explicit approvals and an audit trail of every step.
Evaluation and guardrails: how to test AI features before production
AI features need evaluation as a delivery gate, just like tests: test sets, groundedness checks, safety checks and regression on every change.
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