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Operations

37 entries tagged “Operations”

    Your AI Tool Needs an Adoption SLO · 4 min Seat counts can't justify an AI tool renewal. Define one adoption SLI, governed completions over eligible cases, with guardrails and a breach rule. ai operations metrics The Review Queue Is Your Real Agent Limit · 4 min Plan agent rollouts like capacity: risk-weighted review demand against effective reviewer-hours. Past the constraint, seats buy inventory, not throughput. ai operations teams Your Coding Agent Inherits the Engineer · 4 min A coding agent inherits every credential the engineer holds and none of the judgment behind them. Close that gap with a runtime boundary, not a ban. security ai operations Agent Scale Has a Company-Size Gap · 4 min Large firms report scaling AI agents; smaller ones sit flat. A small company needs one workflow with an owner, gate, boundary, spend cap, and off switch. ai strategy operations A Backup Model You Never Exercise Is Not a Backup · 4 min Vendor count is inventory; measured failover time is resilience. Shadow replay, a bounded canary, and a recovery clock with defined start and stop. ai reliability strategy The Handoff Tax · 4 min 80% report personal AI gains while EBIT impact stays flat. The handoff tax: task time down, throughput flat, queues rising at one nameable transition. leadership operations ai Autonomy Without a Demotion Path Is Permission Creep · 4 min Teams can describe how agents earn autonomy. Few can take it back. Write the transition contract: trigger, authority, mechanics, re-entry. ai governance reliability The Software You Didn't Buy Still Needs an Owner · 4 min Teams skip software purchases and build with agents. Each build is rational; the fleet is the risk. Agents compress upkeep but can't own it. strategy ai cost MCP Grew Up. Your Integration Debt Has a Clock. · 4 min The July MCP revision started a 12-month deprecation clock. Use it to find every agent-to-tool boundary, give each an owner, and test it. ai architecture platform-engineering The Rung Contract · 4 min Competency matrices describe skills. Apprenticeship needs a contract per rung: permission, evidence, reviewer, a promotion rule two managers apply alike. leadership teams ai Your Real Token Price Is a Cache Hit Rate · 4 min For input-heavy agent loops, effective token cost rides on cached-token share. Track your hit rate, and measure the cold-cache premium before you switch. cost ai operations The EU Gave You a Reprieve, Not a Pardon · 5 min The Digital Omnibus deferred the AI Act's high-risk duties, not its live ones. Build a deferral ledger: one row per system and obligation. governance compliance ai The Eval Inversion · 5 min Two frontier labs lost containment this summer, in eval environments. The more adversarial the workload, the weaker the walls around it. Invert that. ai security reliability The Junior Developer Cliff Is a Leadership Problem · 4 min AI eats the work juniors learned on. Rebuild apprenticeship around verification and ownership, or starve your senior bench. leadership ai teams Garbage Context, Confident Answer · 4 min Most AI failures are context failures wearing a model's face. Score retrieval with groundedness and margin, check freshness against live state. ai reliability architecture The Diffusion Gap: Why Pilots Don't Become Capability · 4 min Most AI pilots pass the trial and then die. Closing the gap takes ownership, cadence, and incentives. Write exit criteria as operating changes. ai operations leadership AI Insurance Will Ask for Evidence, Not Intent · 4 min As insurers exclude AI, protection tracks evidence, not intent. Your operating cadence is your audit trail. governance ai executive Unsupervised · 7 min Producing the work can be handed to a machine. Answering for it cannot. What an organization values when machines do most of the making, what people are for, and four things to try this week. opinion ai strategy Shadow AI Is an Operating Problem, Not a Ban · 4 min Banning AI tools removes your visibility, not the tools. Make the governed path the fast path and pull usage into the control plane. governance ai security Power Belongs on the AI Roadmap · 3 min Grid power and GPU quota arrive on lead times of months to years. Put region, capacity type, owner, and fallback next to every committed AI ramp. ai architecture strategy Regulatory Divergence Is a Routing Problem · 4 min One global AI policy is wrong in every market. Tag requests by jurisdiction, data class, and user type, then route policy like cost and capability. governance ai privacy Reliability Is the Autonomy Ceiling · 4 min How much autonomy to give an AI agent: bound its failure rate with the rule of three, shadow mode, and fault injection, then price it by failure cost. ai reliability operations Agent Identity Is the New Control Plane · 4 min AI agents need workload identity, not shared API keys: SPIFFE SVIDs, RFC 8693 token exchange, and Vault leases make access scoped, attributable, revocable. ai reliability security Token Prices Fell. AI Bills Did Not. · 3 min Per-token LLM prices keep falling while AI bills climb. Measure cost per completed task, reviewer time included, instead of price per token. cost ai executive The Benchmark You Didn't Build · 4 min Use public LLM benchmarks as a shortlist filter, then decide on an owned eval: programmatic assertions, a versioned LLM judge, and paired per-case diffs. ai reliability metrics Leading Senior Engineers in the AI Era: Autonomy, Standards, and Accountability · 4 min Leading senior engineers on AI features: a written definition of done with an owned eval, a named failure mode, a rollback drill, and a paging threshold. leadership ai teams Agentic Systems at Scale: The New Reliability Contract · 4 min An AI agent reliability contract is real only where the control plane enforces it: scoped credentials, a deny-by-default tool gateway, a sandbox. ai reliability operations The Anti-Fragile AI Organization · 4 min A warm LLM fallback is a standing cost that needs an owner. Price portability per feature, and turn each vendor shock into a capability you keep. teams ai reliability The Executive Case for Local-First AI Infrastructure · 2 min When to run AI workloads locally and when to stay on cloud APIs: a placement rubric based on call frequency, data sensitivity, and fallback readiness. ai architecture cost The Post-Prototype AI Org: Operating Models That Survive Year Two Canon post — · 2 min Year-two AI failure usually comes from org-design mismatch, not model-quality mismatch. The handoffs are where the system slows down. ai teams leadership The Operating Cadence: Turning AI Leadership Interfaces Into Predictable Output Canon post — · 3 min Leadership interfaces decay without rhythm. A weekly metrics review, monthly outcome review, and quarterly architecture audit keep AI ownership real. leadership ai operations Decision Latency as a P&L Variable: The Leadership Metric Nobody Owns Canon post — · 2 min Slow decisions are a hidden cost. How to measure decision latency, from issue to decision to action, and cut it with clear ownership of decision classes. leadership metrics strategy AI Roadmaps That Survive Contact With Reality Canon post — · 3 min AI roadmaps fail when they are sequenced around ambition instead of dependency, verification, and rollback cost. strategy ai leadership Hiring for AI Teams: The Operator Profile That Scales · 3 min The AI hires that scale are operators who handle ambiguity, systems tradeoffs, and verification pressure. Four traits and four interview questions. hiring ai leadership Build the System the Model Cannot Break Canon post — · 12 min A manifesto for AI-native organizations: twelve tenets across strategy, architecture, economics, and people, and the one test that matters in year two. opinion ai strategy The Throughput Engineer: Why Headcount Is a Lagging Metric Canon post — · 7 min Headcount is a lagging metric. The best engineering organizations measure throughput: decision speed, defect containment, and constraint removal. leadership productivity operations SRE Principles for Small Teams: Skip the Cargo Cult · 4 min Teams copy Google's SRE playbook without asking if it fits. What matters for small teams: one SLO, error budgets, toil, alerts, and postmortems. reliability devops operations
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