Live Cohort — Waitlist Open
Build AI workflows that can survive audit, escalation, and operational pressure.
A live cohort for turning one real AI-assisted workflow into a bounded, reviewable, evidence-producing operating model.
Not a prompt course. Not an automation hype course. A practical lab for governed AI execution.
The hard part is not capability anymore
Most AI courses teach people how to make agents more capable. That is not the hard part anymore.
The hard part is answering:
- ▸What was the AI allowed to do?
- ▸What data did it use?
- ▸Was the data reusable, or merely accessible?
- ▸Who reviewed the output?
- ▸What evidence survived?
- ▸Could a third party reconstruct the workflow after an incident, audit, or escalation?
Before
AI usage depends on individual judgment, scattered prompts, undocumented context, and unclear review expectations.
After
The workflow has defined inputs, authority limits, review gates, evidence capture, failure modes, and a repeatable operating model.
What you will build
By the end of the cohort, each participant will have one governed AI workflow packet containing:
AI Workflow Boundary Map
Defines what the AI system is allowed to do, what it is blocked from doing, and where human review is required before execution.
Authority Map
Identifies every actor, action, target, and review point in the workflow. Specifies who can approve what, and what happens without approval.
Data Provenance Register
A context inventory that separates public, accessible, reusable, confidential, and defensible data. Tracks origin, transformations, and permitted use.
Risk-Tiered Review Policy
Assigns risk tiers to action types. Defines which actions require human review, which are permitted within bounds, and which are always blocked.
Approval and Escalation Matrix
Maps action types to required approvers, escalation paths when an action exceeds authority, and fallback procedures when reviewers are unavailable.
Evidence Log Template
A minimal schema for capturing inputs, outputs, model and tool versions, timestamps, approvals, policy versions, and known limitations at each step.
Failure Mode Register
Documents known failure modes, their triggers, observable signals, containment steps, and recovery procedures for each workflow step.
Maintenance Plan
A schedule and process for reviewing and updating the workflow packet as models, tools, policies, or regulatory expectations change.
Executive Summary
A condensed brief for risk, legal, leadership, or technical review. Answers what the workflow does, what controls exist, and what evidence is available.
Curriculum
Five weeks, one workflow, one complete governed packet.
Workflow selection and authority mapping
Outcome: Select one real AI workflow and define actors, actions, targets, review points, and blocked actions.
- •Identifying the right workflow for governance treatment
- •Actor- action- target mapping
- •Review point identification
- •Blocked action enumeration
Data provenance and context boundaries
Outcome: Build a context inventory that separates public, accessible, reusable, confidential, and defensible data.
- •Data origin and transformation tracking
- •Separation of public, accessible, reusable, and confidential data
- •Context boundary documentation
- •Defensible data chain requirements
Policy gates, review points, and fail-closed design
Outcome: Define risk tiers, permitted actions, blocked actions, human review requirements, and escalation paths.
- •Risk tier assignment per action type
- •Fail-closed vs fail-open decision logic
- •Human review gate specification
- •Escalation path and override procedures
Evidence, audit trail, and reconstruction
Outcome: Create a minimal evidence log showing inputs, outputs, model/tool versions, approvals, changes, and known limitations.
- •Evidence log schema design
- •Input, output, and version capture
- •Approval and policy version binding
- •Limitations and change documentation
Capstone review and operating model
Outcome: Present the governed workflow packet and test whether it can be reconstructed by someone other than the original operator.
- •Packet presentation and peer review
- •Reconstruction testing with blinded reviewers
- •Gap identification and remediation
- •Maintenance plan handoff
Who it is for
For you
- •Operators adopting AI in real workflows who need defensible controls
- •Governance and risk teams trying to avoid uncontrolled AI sprawl
- •Technical leaders who need practical controls, not policy theater
- •Founders building AI-enabled products for serious buyers
- •Consultants who need a defensible client delivery model
- •IT operations leaders evaluating AI adoption in regulated environments
- •Enterprise architects designing AI workflows with auditability requirements
- •Technical program managers responsible for AI governance implementation
Not for you
- •Prompt collectors looking for generic prompt packs
- •Teams trying to remove human accountability from AI workflows
- •People looking for autonomous agents with no review boundary
- •Organizations that cannot document data provenance
- •Anyone looking for a compliance shortcut or certification
- •Casual AI users with no real workflow to bring
- •Teams wanting to bypass existing review processes
Founder pricing for the first cohort
Founder pricing applies to the first cohort while the format is being validated. Later cohorts are expected to move to standard pricing.
| Tier | Price | Includes |
|---|---|---|
| Individual pilot | CAD $750 | 5 live sessions, templates, community support |
| Professional | CAD $1,500 | Everything above + one workflow review |
| Team | CAD $4,500 | Up to 5 seats + private capstone review |
| Advisory add-on | CAD $2,500+ | Custom review of one governed workflow |
Planned standard pricing after the first cohort
| Tier | Price |
|---|---|
| Individual | CAD $2,500 |
| Professional with review | CAD $5,000 |
| Team | CAD $12,500 to $25,000 |
| Enterprise private cohort | CAD $35,000+ |
Standard pricing applies after the first cohort completes and the format is validated.
This cohort does not make any workflow compliant. Compliance is a determination your organization makes through its own legal and regulatory processes. AI Syndicate does not certify, approve, or assume governance authority for any participant workflow.
Join the waitlist
The first cohort is being shaped by the workflows participants bring. Your context helps us build a curriculum that matches real operational needs.
Bring one workflow. Leave with a governed operating model.
Authority map, provenance register, risk-tiered review policy, approval and escalation model, evidence log, failure-mode register, and maintenance plan. Built for your actual workflow, not a toy example.