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Engineering and Product

Turn scattered knowledge into faster decisions and fewer interrupts

SerenityGPT helps engineering and product teams find the right context fast, reduce repeat questions, and stay aligned on decisions, requirements, and execution. It brings together docs, tickets, specs, RFCs, incident notes, and discussions into a single AI layer that answers questions with clear sourcing and predictable behavior.

What Serenity does

Self-serve answers that stop the interrupts

Deflect repeat questions from other teams by making the right 'source of truth' instantly accessible.

  • Finds answers across specs, docs, and tickets with source links
  • Prioritizes approved knowledge to reduce conflicting guidance
  • Cuts down the constant 'quick question' load in Slack and Teams

Faster on-call and issue resolution

Help engineers resolve incidents and escalations faster with instant access to runbooks, history, and patterns.

  • Surfaces runbooks, past incidents, and similar tickets automatically
  • Summarizes context and likely causes with supporting references
  • Produces consistent response patterns and better postmortems

Outcomes

1Faster decisions and cleaner execution

Quicker access to the 'why' behind prior decisions

Less time lost to context hunting across tools

Higher quality handoffs across product, engineering, and support

2Measurable productivity gains

Fewer repeat questions and interruptions

Faster escalation turnaround and lower rework

More consistent incident response and follow-through

The problem

Engineering and product context lives everywhere: specs in docs, decisions in threads, status in Jira, and customer pain in support tickets. Teams waste time searching, reconciling conflicting answers, and re-explaining the same details. The result is slower incidents, noisier escalations, and fragile alignment on requirements and priorities.

The shift

High-performing teams are moving from "search and ask around" to grounded, traceable context on demand. The goal is not a chatbot, but an AI layer that retrieves the best source, cites it, summarizes what matters, and guides the next step, without crossing access boundaries or inventing details.

Use cases

Find the real answer across sources

Pull the approved spec, key implementation notes, and related discussions with source links.

Incident support and on-call assistance

Surface the right runbook, similar past incidents, likely causes, and key dashboards in seconds.

Summarize long threads into decisions

Turn Slack, PR, and incident discussions into clear outcomes, owners, and follow-ups with references.

Support to engineering handoffs

Generate a structured escalation with reproduction steps, environment details, history, and related links.

How it works

Connect to the tools your teams already use

SerenityGPT fits into your existing engineering and product stack.

  • Jira and issue trackers
  • Confluence, specs, and internal docs
  • Slack or Microsoft Teams
  • Incident tooling, runbooks, postmortems
  • Release notes, changelogs, enablement hubs

Retrieve context, then answer predictably

Every response is grounded in the best available sources, with traceability.

  • Clear citations and 'where this came from' links
  • Approved knowledge first to reduce conflicts
  • Safe fallback behavior when info is missing or ambiguous

Start with one workflow, expand fast

Prove impact on a high-frequency pain point, then scale coverage.

  • On-call and incident response
  • Support escalations and handoffs
  • Roadmap insights from customer signals

Built for governance and control

Accuracy and trust by design

Grounded answers with references

Clear uncertainty handling

Optional review for sensitive outputs

Access boundaries respected

Permission-aware answers across teams and projects

Private work stays private

Visibility into gaps and documentation drift

Proof points

What leaders measure

Common metrics engineering and product teams track to prove impact.

  • Interrupt reduction (repeat internal questions)
  • Time to find information (specs, decisions, incident history)
  • Escalation turnaround time and rework rate
  • Incident response consistency and postmortem follow-through
  • Roadmap confidence (themes validated by customer signals)

FAQ

SerenityGPT is designed to stay grounded in your sources and handle uncertainty by asking clarifying questions or escalating, rather than guessing.

Yes. SerenityGPT respects existing permissions so teams only see what they are allowed to see.

Pick one high-frequency pain point (on-call, escalations, or roadmap insights). Connect a small set of sources, measure impact, then expand.

See Serenity in action

A short walkthrough focused on one of your use cases.