When an incident hits, your team gets buried in alerts, notes, evidence, client questions, and status updates at the same time. The work is urgent, repetitive, and easy to slow down with manual handoffs. AI agents help your team sort the noise, keep the response moving, and get the report out faster without missing the details clients expect.
The same incident response work, but with less scrambling and fewer delays.
No engineering team required. Go from idea to running agent in minutes.
Tell the agent what it should do — in plain language. Or choose from a library of ready-made agent templates built for your industry. No code, no configuration files.
Link your email, CRM, spreadsheets, Slack, or any other tool with one click. The agent reads, writes, and acts across all your connected apps automatically.
Hit start. Your agent runs 24/7 and sends you a clear summary of everything it did — what it found, what it acted on, and what needs your attention.
A realistic 5-step flow from the first alert to the final report.
The intake agent captures the message, pulls out the key facts, and creates a clean case summary with the client name, affected system, time reported, and initial symptoms.
The follow-up agent sends a short request for logs, screenshots, access details, and recent changes based on the type of incident, then tracks what comes back.
The triage agent groups the evidence, highlights likely affected systems, and builds a simple timeline so the lead analyst can review the case quickly.
The update agent drafts status notes from the latest case activity, so the team can send clear progress updates without rewriting the same message for every audience.
The report agent pulls together the timeline, actions taken, evidence references, and follow-up items into a draft post-incident report that the team can review and send.
These agents fit the work your team already does: intake, triage, updates, evidence handling, and reporting.
Reads incoming incident emails, portal submissions, and call notes, then creates a structured case summary as soon as a new report arrives.
Uses the incident type and missing details to send the right evidence request to the client when the case needs logs, screenshots, or access data.
Sorts notes, files, and timestamps into a simple case view when evidence starts coming in, so the analyst can review scope and sequence quickly.
Drafts status updates from the latest case notes when it is time to brief the client, internal leadership, or account contacts.
Pulls the case timeline, actions taken, evidence references, and follow-up items into a draft report when the incident is ready to close.
Collects final action items, owner names, and due dates when containment is complete and the case needs post-incident follow-up.
See how we stack up against manual work and every other automation tool on the market.
One-click connections. No API keys, no developer setup required.
AI agents help incident response firms handle triage, evidence collection, client updates, and reporting faster, with less manual chasing and fewer missed steps.
Directional results incident response firms typically look for when they remove manual case handling from the busiest parts of the job.
"We spend less time chasing details and more time actually working the incident. The team feels the difference on the first busy day."
Straight answers to the questions operators usually ask before they put AI agents into the response workflow.
If your team is still copying notes, chasing evidence, and rebuilding the same update across every incident, AI agents can take that load off now. Put the repetitive work on autopilot before the next busy week turns into another backlog.