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Q3 2026 frontier model release forecast: GPT-6, Opus 5, Gemini 4, Grok 5, DeepSeek V5 — probability-weighted dates and capability scenarios.

Q3 2026 agentic AI outlook: 12 probability-weighted scenarios across models, infra, agents, governance, adoption — data, signals, watch-list events.

Executive playbook for agentic AI — decision support, board reporting, scenario planning. Functions, roles, tools, governance, 90-day rollout.

Operations playbook for agentic AI — process automation, incident response, capacity planning, vendor management. Functions, roles, tools, 90-day rollout.

Engineering playbook for agentic AI — coding, code review, ops augmentation. Functions, roles, tools (Claude Code, Cursor, MCP), 90-day rollout.

Product playbook for agentic AI — discovery synthesis, design augmentation, prototyping, research synthesis. Functions, roles, tools, 90-day rollout.

HR playbook for agentic AI — recruiting, onboarding, L&D, comp benchmarking. Functions, roles, tools, 90-day rollout with compliance guardrails.

Legal playbook for agentic AI — contract review, NDA triage, IP research, compliance monitoring. Functions, roles, tools, human-in-the-loop rollout.

Finance playbook for agentic AI — FP&A augmentation, close acceleration, variance analysis, scenario modeling. Functions, roles, tools, rollout.

Customer support playbook for agentic AI — tier-1 deflection, escalation augmentation, QA automation, CSAT protection. Functions, roles, tools.

Sales playbook for agentic AI — pipeline augmentation, prospecting, account research, proposal generation. Functions, roles, tools, 90-day rollout.

Marketing playbook for agentic AI — content, SEO, social, paid media, lifecycle, brand. Functions, roles, tools, governance, 90-day rollout.

Pipeline-health metrics for agentic workflows — completion rate, stage abandonment, retry depth, cost per success. The 10-KPI panel and targets.

Cost framework for agentic AI — per-task, per-user, per-tenant attribution. Tier budgets, overage routing, alert thresholds, dashboard layout.

MTTR / MTTD framework for agentic AI incidents — severity matrix, detection signals, containment runbooks, postmortem cadence. KPI panel inside.

RAG metrics framework — recall, precision, faithfulness, citation accuracy, freshness. The 10-KPI panel and eval suite that production RAG needs.

Prompt-library metrics — catalog coverage, eval coverage, regression rate, model-fit divergence. The 10-KPI panel for production prompt ops.

AI support metrics — deflection rate, CSAT impact, escalation context loss, hallucination rate. The 12-KPI panel for production support agents.

Agent quality framework — pass rate, revision rate, eval coverage, regression detection. The 10-KPI panel distinguishing quality from velocity.

SLO framework for MCP servers — uptime, latency, tool success rate, error budget burn. The 8-KPI panel and incident-response cadence inside.

AI content team productivity framework — published-per-week, quality score, fact-check pass rate. The 10-KPI panel and benchmark data inside.

Velocity framework for agentic teams — 12 KPIs across deploy, eval, incident, cost, governance. The dashboard layout production teams adopt.

H1 2026 AI incident retrospective — 50+ reported incidents analysed across hallucination, tool misuse, prompt injection, data leakage, and bias.

H1 2026 AI investment retrospective — funding rounds, valuations, sector breakdown, geographic spread, and the four trends that defined the half.