Stop filling forms. RCAintel guides your engineers through structured 5-Why and Ishikawa, validates conclusions against plant history, and writes the corrective playbook for you.
An 11-stage agent pipeline does the methodical work. Your engineers do the judgment.
Each stage has its own specialist: data wrangler, history retriever, 5-Why interrogator, Ishikawa drafter, quality reviewer. Step in or sign off — nothing happens without you.
5-Why interrogator is asking "Why was lubrication missed?"
step 4 / 7 · 0:42No hand-waving. Findings are scored against the plant's methodological floor.
Equipment, downtime, severity. Voice-to-text on the floor, structured by the time it hits the queue.
“Press 2 stopped, controller threw E-208 again, similar to last March…”
5 years of prior RCAs, similar failure modes, manufacturer bulletins — surfaced in seconds.
Owners assigned, due dates set, follow-ups verified before close. Closure stops being theater.
RCAintel is built for high-complexity manufacturing — automotive, aerospace, pharma, food, heavy industry, electronics. The pattern across all of them is the same: investigations that look thorough on paper, fail in audit, and recur.
When a press, robot, or CNC stops, every minute is measurable revenue loss. RCAintel turns the next-day "what happened" meeting into a 30-minute structured 5-Why with cited evidence, prior-incident retrieval from your CMMS, and a corrective action signed before the line restarts.
See the 5-Why tool →If your CAPA programme is collecting effectiveness findings from internal audits or external inspectors, the failure is structural: corrective actions are detached from defensible root causes. RCAintel rebuilds the chain by making a peer-reviewed RCA a prerequisite for any action, with verification evidence required before close.
See CAPA software for manufacturing →Knowledge does not travel between sites when each RCA lives in a spreadsheet. RCAintel surfaces similar past incidents across your fleet by causal pattern, not keyword, so the next investigation starts from what was already learned somewhere else in the network.
Read about root cause analysis software →What buyers ask in the first call.
RCAintel guides manufacturing engineers through structured 5-Why and Ishikawa root cause analysis with an AI-assisted, multi-agent pipeline. It retrieves similar past incidents, drafts the next investigation step, scores the causal chain against a quality gate, and tracks corrective actions to verified closure.
Ticketing systems record outcomes. RCAintel runs the investigation itself: it refuses to accept a corrective action that is not bound to a defensible root cause, blocks shallow analyses at the quality gate, and requires evidence for every level of the causal chain.
Automotive, aerospace, pharma and biotech, food and beverage, heavy industry, and electronics. Anywhere unplanned downtime, scrap, or quality escapes cost real money and where auditors expect a defensible trail.
No. The agents do methodical work — drafting, retrieving, scoring. Every transition requires explicit human sign-off, and the audit log records who approved what and when. RCAintel is built for regulated environments where human accountability is non-negotiable.
A pilot on one plant typically goes live in three to six weeks: data integration, workflow configuration, approval matrix, then live use with weekly tuning. Multi-site rollouts reuse the same configuration with site-level overrides.
No. RCAintel sits alongside existing systems and ingests incidents through API integrations or CSV import. The validated root cause and corrective actions can be pushed back to your CAPA system of record.
Run your first RCA from day one — guided methodology, automatic quality gate, and a signed corrective action at the end.