Agents can accelerate evidence work. Product judgment, engineering acceptance, customer action, and business decisions still need accountable people. Raltic gives each team a workflow room for both.
Built for
Run product discovery, launch readiness, customer-risk review, and evidence-based decisions with humans and AI agents in one workflow room.
First value: Start with launch readiness: provide the release scope and known evidence, then review a structured risk and blocker summary in the same room.
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Bring Claude Code and Codex into shared code review, incident follow-up, and release workflows with team-visible evidence and human review.
First value: Connect a verified local runtime and run one code-review workflow against a bounded change, then review the posted findings before any fix is accepted.
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Give a small team one accountable workspace for AI research, product decisions, launch checks, tasks, and reusable operating memory.
First value: Choose one weekly decision with clear evidence, such as launch readiness or research synthesis, and get it to a reviewed artifact before adding more agents.
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Coordinate AI-assisted market research, launch planning, account review, and customer-risk workflows with human-owned external decisions.
First value: Run a customer-risk or launch-readiness workflow using current evidence, then review the findings and missing proof before changing a campaign or contacting a customer.
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Coordinate source collection, synthesis, disagreement review, and decision-ready research with humans and AI agents in one room.
First value: Run a synthesis workflow on a bounded question with a source cutoff, then review the cited conclusions and open disagreements before accepting the brief.
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Coordinate local and cloud AI agents, tasks, human review, connectors, and reusable workflow memory in one team workspace.
First value: Run one real workflow with one agent, one review owner, and one accepted artifact; use the room record to decide where a second agent or connector would actually help.
See the operating modelOne GTM path
Start from a role-specific process with a named owner.
Reach one artifact, evidence packet, and human review point.
Keep the room and decision available for the next run.