Pilots
KingAI can start with a narrow data set, clear success metrics and source-linked reports. A pilot should prove a useful output before it expands.
Use existing files or logs to produce a report and identify data quality gaps.
Automate one review or reporting workflow around historical, live-exported or customer-owned data.
Build a browser view for status, evidence, reviewer notes and export packs.
Turn recordings, notes, PDFs or exports into transcripts, summaries and a searchable local knowledge base.
Use diagnostic or maintenance history to produce priority reports, missing-data notes and downtime-risk estimates.
Connect one tool, script, folder or API into a logged workflow with a repeatable export.
Use supplied calibration files and definitions to test map listing, diffs, reports and candidate edits.
Convert meetings, interviews, exercises or training recordings into transcripts, summaries, captions and evidence packs.
Co-create a passive monitoring proof for maritime event awareness, edge classification and warning workflows.
Problem, data sources, output, decision gate, success metric, timeline and customer responsibilities.
A small running tool, dashboard, report generator, transcript workflow or integration around sample data.
What worked, what data was missing, time saved, quality notes, risks and recommended next step.
A practical path from report-only proof to a larger customer workflow if the evidence supports it.
Paid pilot menu
A KingAI pilot should be narrow enough to build, strong enough to sell internally and concrete enough to turn into a larger software, reporting or sustainment workflow.
A good pilot proves report quality, time saved and review clarity before anything expands.