Company AI Brain for Engineering
Connect technical knowledge, delivery context, reliability, and response.
Help engineering teams retrieve context, understand incidents, coordinate work, communicate status, and connect technical decisions to customer and business impact.
Tell us how your engineering team worksCompany AI Brain for Engineering
In practice
Full Workflow Examples
End-to-end paths through Engineering — from signal to improvement, with human control where it matters.
- Signal
- Understand
- Recommend
- Approve
- Execute
- Monitor
- Learn
- Improve
01
Product request to implementation brief
- Signal: Product sends a brief, discovery outcome, or confirmed feature request for engineering work.
- Understand: Brain gathers product intent, related code and systems, prior incidents, dependencies, ownership, and open technical decisions.
- Recommend: Proposes implementation context, likely assignees, risks, missing observability, and questions engineering still needs answered.
- Approve: Engineering manager updates or confirms scope, assignees, and approach before build work is treated as committed.
- Execute: Creates engineering issues with evidence, prepares implementation briefs, and assigns confirmed engineers.
- Monitor: Tracks whether kickoff blockers clear and whether product questions remain open.
- Learn: Notes which context was missing when engineering started.
- Improve: Strengthens the next product-to-engineering handoff with clearer evidence and ownership prompts.
RequestContextApproveBriefAssignStrengthen handoff02
Change ready to monitored release
- Signal: A feature, fix, or other change is ready to ship.
- Understand: Brain assembles related incidents, docs, ownership, environment boundaries, and release risks.
- Recommend: Highlights ship risks, missing checks, and status that Product, Support, or Leadership may need.
- Approve: Engineer updates or confirms the production action. Security, access, and destructive changes always need approval first.
- Execute: Updates approved status, coordinates approved release communication with the engineering team, and prepares customer-facing explanations for review when needed.
- Monitor: Tracks post-deploy signals and whether the change behaves as expected. Engineers remain responsible for production decisions.
- Learn: Captures which release checks mattered most after ship.
- Improve: Updates release and monitoring prompts for similar changes.
ReadyAssessApproveShipMonitorUpdate checks03
Reliability signal to shared review
- Signal: Monitoring, deployments, logs, or customer reports indicate a reliability problem.
- Understand: Brain connects related incidents, recent changes, runbooks, ownership, and customer impact.
- Recommend: Proposes investigation paths, likely related changes, and who should own the response.
- Approve: On-call engineer updates or confirms ownership and response actions. Production changes always need human approval. Before the review is shared, Engineering manager updates or confirms the review package and any external status wording.
- Execute: Coordinates the incident workspace, notifies the engineering team and relevant teams, tracks recovery actions, prepares approved status for Support and Leadership, and schedules the incident review.
- Monitor: Tracks recovery and remaining follow-ups through review.
- Learn: Groups recurring technical causes and communication gaps.
- Improve: Feeds review outcomes into runbooks, ownership maps, and future product-to-engineering planning.
SignalCoordinateApproveRecoverReviewFeed forward
Intelligence becomes valuable when it improves what happens next.
The Department Cycle
Know. Decide.
Act. Trust.
Every workflow in Engineering runs through a complete intelligence cycle, from signal to improvement, with human control where it matters.
Know
- Organise product requests and feature context
- Retrieve technical documentation
- Summarise system history
- Connect issues to code, deployments, infrastructure, databases, and logs
- Monitor reliability
- Track engineering work
- Identify unresolved technical decisions
- Summarise incidents
- Connect customer reports to technical signals
- Prepare engineering status
- Identify outdated documentation
Decide
- Prepare implementation context for engineering review
- Prioritise issues by reliability and business impact
- Recommend investigation paths
- Identify likely related changes
- Suggest owners based on system context
- Recommend escalation
- Highlight missing observability
- Identify recurring technical problems
- Recommend documentation updates
Act
- Create engineering issues with evidence
- Assign confirmed engineers
- Prepare implementation briefs
- Update approved status
- Notify the engineering team and relevant teams
- Coordinate incident communication
- Prepare customer-facing explanations for review
- Draft technical documentation
- Publish approved documentation
- Track recovery actions
- Schedule incident reviews
- Create follow-up tasks
- Monitor completion
Trust
- Require engineering manager confirmation for scope and approach
- Require human approval for production changes
- Require approval for security and access changes
- Protect credentials and sensitive technical information
- Show evidence behind incident recommendations
- Maintain action and decision history
- Prevent destructive database or infrastructure actions
- Respect environment boundaries
- Escalate uncertainty
- Allow engineers to pause or take control
Categories only
Systems Connected
- Source code systems
- Engineering work systems
- Deployment systems
- Infrastructure systems
- Monitoring and logging systems
- Databases
- Incident systems
- Documentation systems
- Product systems
- Support systems
- Communication systems
- Task systems