Reimagine SRE, data pipelines, and application support.
Three roles in tech ops, where people and AI work together
Site reliability and on-call
Responsibilities to review
- Read the alert and pull related dashboards
- Check recent deploys
- Cross-reference prior incidents and runbooks
- Draft hypothesis and recommended next action
Illustrative workflow responsibilities. Confirm the tools, data, human decisions and review criteria for your work.
AI reads the alert, pulls related dashboards and recent deploys, cross-references prior incidents and runbooks, drafts the hypothesis and recommended next action. Engineer reviews the call and owns the mitigation.
Data pipeline operations
Responsibilities to review
- Read the orchestration log
- Pull upstream schema diffs and recent DDL
- Cross-reference prior on-call notes
- Draft suspected root cause and backfill plan
Illustrative workflow responsibilities. Confirm the tools, data, human decisions and review criteria for your work.
AI reads the orchestration log, pulls upstream schema diffs and recent DDL, cross-references prior on-call notes, drafts the suspected root cause and backfill plan. Engineer reviews and runs the fix.
Application support
Responsibilities to review
- Read the ticket
- Pull customer config and recent product events
- Cross-reference the KB and prior similar tickets
- Draft the response and suspected fix
Illustrative workflow responsibilities. Confirm the tools, data, human decisions and review criteria for your work.
AI reads the ticket, pulls the customer's config and recent product events, cross-references the KB and prior similar tickets, drafts the response and the suspected fix. Engineer reviews and sends.
Reference workflows to adapt to your organization
Explore these reference workflows and adapt one to your organization. See a proposed division of work between people and agents, with decisions, responsibilities and handoffs. Task Intelligence provides the detail behind the redesign.
Incident Management
Detect, triage, mitigate, postmortem. The redesign engine shows where agents own routine triage and comms, and where engineers own the judgment on rollback and mitigation.
Security Operations
Alert triage, threat hunting, response. Watch the workflow restructure from queue-driven analyst work into agent-led triage with human-in-the-loop on the consequential calls.
Identity & Access Management
Provisioning, access reviews, joiner-mover-leaver. The redesign shows how agents collapse access request + approval + provisioning into a single audit-gated flow.
Talent Acquisition
Sourcing, screening, scheduling, debrief. For a tech org hiring engineers at scale, see how agent-led sourcing and screening pulls recruiter time back to the high-judgment steps.
Prepare your workforce for the redesigned work.
Your workforce brings people and AI agents together. Workflows define how they share the work. Define what agents do, who reviews their output, and when they hand work back. Use Task Intelligence to understand the tasks within each step, then prepare your people to build and run the new version through simulations, hands-on projects and skill validation. Revisit affected responsibilities and readiness when the work changes.
Task evidence within technology workflows
These research inputs include vendor and source-reported software capabilities, product features and descriptions of work. The stored classifications in this selection contain 792 source examples for AI support and 903 for automation. They are not validated workflow outcomes or proof of agent performance. Task Intelligence helps examine the work in context; review each example against your responsibilities, controls and exceptions before using it in a redesign. The first 5 AI-support examples are below.
903 source examples classified for automation›
How we work with tech companies
Co-sponsored model. VP Engineering, Head of SRE or CTO plus your platform team in the room. The 6 to 8 week AI Bootcamp prepares people for agreed workflow responsibilities through simulations and assessments. Transformation Engagement scales across the engineering org, same observability stack, same on-call rotation, same SLO discipline.
Want an engineering-org walkthrough?
20 minutes. We pull your top three task patterns from the dataset and show you the redesign live, with your role mix and your SLO frame.
Book a time