Context systems
Context Boundary Mapper
A practical worksheet for deciding what an AI system can see, remember, retrieve, and produce before implementation begins.
30 min · A clear system-of-record map
Resource library
Working tools, not white papers. Every resource turns an architecture idea into a concrete decision.
Not sure where to start?
Start-here resources work before a model, vendor, or integration has been selected.
Workflow stage
Problem to structure
30 resources
Context systems
A practical worksheet for deciding what an AI system can see, remember, retrieve, and produce before implementation begins.
30 min · A clear system-of-record map
Governance
Separate what AI may recommend, draft, route, or execute from what must remain human-owned.
30 min · A clear decision-rights boundary
Operations & measurement
Prepare AI-supported workflows for outage, drift, degraded context, ownership gaps, and recovery.
35 min · Failure scenarios tied to business impact
Workflow design
A worksheet for separating model capability, workflow design, implementation scope, governance, and operating cadence.
35 min · Layer map
Agent systems
Design agentic workflows around triggers, tools, approvals, handoffs, observability, and recovery.
35 min · Tool registry map
Context systems
Decide what knowledge AI should preserve, retrieve, refresh, forget, and cite.
30 min · Inventory of persistent memory
Workflow design
Compare workflows by value, context readiness, risk, ownership, recurrence, and implementation effort before choosing what to build.
40 min · A ranked workflow shortlist
Workflow design
Qualify a use case by decision value, repeatability, context requirements, risk boundaries, and operational ownership.
25 min · A use-case qualification brief
Operations & measurement
Shift the evaluation from model capability alone to the full operating system required for useful AI-supported work.
30 min · A model-fit rationale
Governance
Score readiness across approved use, data boundaries, human review, escalation, logging, fallback planning, and ownership.
35 min · A governance readiness score
Governance
Design the human role around judgment, accountability, exception handling, and quality improvement instead of vague oversight.
30 min · Review checkpoints
Agent systems
Give agentic workflows a deterministic operating layer so tools carry state, permissions, validation, execution, and evidence.
35 min · Tool inventory
Operations & measurement
Plan weekly, monthly, and incident-driven loops for exceptions, metrics, context updates, governance changes, and workflow improvement.
30 min · Review rhythm
Context systems
Audit the quality of source material, ownership, retrieval paths, freshness, authority, conflict handling, and citation readiness.
35 min · Context risk list
Workflow design
Turn architecture work into an implementation-ready brief without losing the decision, context, governance, and operating assumptions.
40 min · Implementation scope
Governance
Avoid choosing platforms only by feature demos. Compare vendors by data handling, integration model, tool support, observability, cost, and governance fit.
40 min · Vendor comparison criteria
Workflow design
Identify when a useful prompt has become an operating pattern that deserves a system, workflow, or agentic architecture.
30 min · Systemization candidate
Governance
Create a practical risk register that links each AI risk to owner, impact, likelihood, controls, fallback, and review cadence.
35 min · AI risk inventory
Operations & measurement
Define what better means before AI-supported work moves from pilot to business case.
30 min · Baseline metric map
Operations & measurement
Define evaluation criteria for outputs, tool calls, retrieval quality, escalation behavior, and reviewer confidence.
35 min · Evaluation rubric
Governance
Record what the AI saw, retrieved, inferred, recommended, and what humans finally decided.
30 min · Decision record
Governance
Prepare containment, ownership, communication, and review steps for AI workflow failures.
35 min · Incident severity levels
Context systems
Classify what information AI may access, restrict, retain, or escalate before context boundaries go live.
35 min · Data classification table
Operations & measurement
Estimate model routing, retrieval, tool calls, cached context, evaluation passes, and monthly operating cost.
30 min · Usage assumptions
Agent systems
Test agent behavior across normal cases, edge cases, missing data, tool failure, restricted requests, and escalation.
40 min · Scenario list
Governance
Define the business, system, data, review, escalation, technical, compliance, and executive ownership model.
30 min · RACI-style ownership model
Operations & measurement
Plan the training, workflow changes, review habits, communications, and feedback loops that adoption needs.
40 min · Adoption plan
Governance
Ask vendors sharper questions about providers, retention, logs, deletion, auditability, review, residency, and export rights.
30 min · Procurement questions
Operations & measurement
Decide when to pause, replace, downgrade, archive, or remove an AI workflow without leaving unmanaged operating debt.
35 min · Decommission criteria
Workflow design
Turn template findings into a staged 30/60/90-day architecture, governance, evaluation, and implementation sequence.
45 min · 30/60/90-day roadmap