Insights

AI work needs a better first move.

Twelve practical guides for choosing workflows, controlling model spend, governing launch risk, and selecting the right delivery path.

Field guides
12
Topic clusters
04

Reading sequences

Three ways into the corpus.

Follow a sequence when the decision is clearer than the topic. Each route starts with an operating question and moves toward a concrete review artifact.

  1. 01

    Start with one workflow

    Define AI Transformation, choose the first workflow, then score readiness before a build begins.

  2. 02

    Control cost and quality

    Use routing, replacement matrices, governance, and launch evaluation before production traffic moves.

  3. 03

    Pick the delivery model

    Compare build, buy, and FDE paths, then connect the choice to a sector-specific operating path.

Publication index

12 guides. 4 topic clusters.

Every guide includes a direct answer, operating detail, source or method notes, related reading, and a path into AI Transformation.

AI Transformation foundations

Definitions, first workflow selection, and readiness for teams starting with one deployed workflow.

  1. 01What Is AI Transformation?AI Transformation redesigns a real operating workflow around useful model work, human judgment, measurable quality, and durable ownership.Updated July 10, 2026 · 1,429 words · 7 min read
  2. 02How to Choose the First AI WorkflowChoose the first workflow by balancing operating value, reviewability, available inputs, adoption friction, and the cost of being wrong.Updated July 10, 2026 · 1,270 words · 6 min read
  3. 03AI Readiness Workflow ScorecardAI readiness is a property of a specific workflow, measured through ownership, inputs, evaluation, review, integration, and operating capacity.Updated July 10, 2026 · 1,306 words · 6 min read

AI spend and model operations

Model routing, replacement planning, spend control, governance, and evaluation before launch.

  1. 04AI Spend Optimization Through Model RoutingModel routing controls AI spend by matching each production task to the least costly route that still clears its quality, latency, and risk standard.Updated July 10, 2026 · 1,410 words · 7 min read
  2. 05Model Replacement Matrix TemplateA replacement matrix turns model substitution into a task-specific production change with comparable evidence, economics, and rollback.Updated July 10, 2026 · 1,219 words · 6 min read
  3. 06AI Governance for Deployed WorkflowsWorkflow governance turns broad policy into operating rules for model actions, human review, data, changes, incidents, and accountable ownership.Updated July 10, 2026 · 1,146 words · 6 min read
  4. 07AI Evaluation Before LaunchA launch decision needs representative task evidence, critical acceptance rules, calibrated review, operational tests, and explicit rollback.Updated July 10, 2026 · 1,295 words · 6 min read

Delivery models

Build, buy, FDE, pilot, and production decisions for organizations moving beyond experiments.

  1. 08Build vs. Buy vs. Forward Deployed EngineeringChoose a delivery model by locating durable differentiation, integration depth, operating ownership, time pressure, and acceptable lock-in.Updated July 10, 2026 · 1,146 words · 6 min read
  2. 09How to Move an Enterprise AI Pilot to ProductionA pilot reaches production when capability evidence becomes a versioned workflow with owners, controls, integration, support, adoption, and rollback.Updated July 10, 2026 · 1,229 words · 6 min read

Sector playbooks

Domain-specific AI workflow guidance for enterprise, SMB, nonprofit, legal aid, and public-sector teams.

  1. 10SMB and Mid-Market AI ProductivitySmaller teams gain from AI when one workflow removes recurring handling inside existing tools without creating a larger operating burden.Updated July 10, 2026 · 977 words · 5 min read
  2. 11Nonprofit and Legal Aid AI IntakeAI-assisted intake should expand staff capacity by organizing facts and missing information while preserving human judgment, access, and applicant trust.Updated July 10, 2026 · 1,187 words · 6 min read
  3. 12Public Sector AI Procurement ReviewPublic AI procurement should buy a reviewable workflow with explicit purpose, data, human authority, records, change visibility, and exit.Updated July 10, 2026 · 1,425 words · 7 min read