Task Intelligence for technology operations
Three canonical tech ops patterns, redesigned at the task level. Incident response, deployment management, tier-2 support. Hours freed per engineer, throughput 2 to 3x, same observability stack, same SRE envelope. Plus live AI redesign of four tech workflows.
Three roles in tech ops, redesigned at the task level
Every tech ops desk has the same task shape: read log or alert data, cross-reference service maps and prior incidents, draft a remediation or escalation, human reviews. Each role below keeps doing the work — AI takes the load on the routine tasks. Hours freed, throughput up, same SLOs.
Incident response
AI reads the alert, correlates across observability signals, checks recent changes, drafts the diagnostic hypothesis with runbook links. Engineer reviews and acts. The agent stays on for follow-up correlation.
Deployment management
AI reads the change spec, prior deployment outcomes, dependency graph, test coverage. Drafts the deployment plan with risk surfaces flagged. Engineer reviews and approves the gated promotion.
Tier-2 support
AI reads the escalated ticket, T1 notes, customer environment, similar past tickets. Drafts the diagnostic and resolution. Engineer reviews and either ships the fix or escalates with full context to T3.
Four workflows in technology ops, redesigned live
The roles above run inside workflows. Pick one. The redesign engine produces a before/after view in 30 seconds — tasks that collapse when agents take over, sequential steps that go parallel, net-new agent guardrails the original workflow never had.
Incident Management
Service incident workflow: detection, triage, resolution, post-mortem. See how 10 tasks compress into 7 with two new agent-led guardrails (continuous monitoring + audit logging).
Change Management
Change approval, deployment, validation, rollback. The redesign shows where agents replace gating steps and where senior engineers own the risk judgments.
Release Management
Release planning, environment preparation, deployment, post-release validation. The redesign shows release workflows running in parallel where today they're sequential.
IT Project Delivery
Project intake, scoping, sprint planning, delivery, retrospective. See how the redesign collapses ceremony tasks and where humans own the strategic prioritization.
Where AI cowork lands first in tech ops
0 technology tasks where the AI takes the load and the human stays on the decision. Pulled live from our task taxonomy. The top 0 are below. 0 more are ready for full automation, expand the list to see them.
0 technology tasks ready for full automation›
How we work with tech orgs
Co-sponsored model. Functional head (VP Engineering, VP Platform, Head of SRE, CTO) plus your transformation office in the room. Sprint proves the redesign in 90 days inside one engineering function. Transformation Engagement scales across the operating model — same observability stack, same SLOs.
Want a tech-specific 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