.svg){kind=logo}
A bounded advisory engagement that assesses whether your teams are ready to use AI-assisted delivery methods safely, with the governance, review points, controls, and evidence needed to accelerate work without losing quality, traceability, or accountability.
![[interface] image of a computer showcasing educational software (for a edtech)](https://cdn.prod.website-files.com/695901426d15f81dacd94adc/6a22041a1c3cd7db37a6fbb7_ChatGPT%20Image%20Jun%204%2C%202026%2C%2007_02_20%20PM.png)
AI Tools Are Already Being Used: Teams are using copilots, chatbots, or AI assistants without a clear delivery governance model.
Output Quality is Uncertain: Requirements, stories, test cases, analysis, or documentation may be AI-assisted but not properly verified.
Human Review Is Inconsistent: Human-in-the-loop expectations are informal, uneven, or not documented.
Confidentiality Risk Exists: Teams may be exposing sensitive business, customer, project, or system information to AI tools.
Delivery Is Moving Faster Than Controls: AI is accelerating work, but review, validation, and approval points have not caught up.
Traceability Is Weak: It is unclear how AI-assisted outputs connect to business needs, decisions, risks, and acceptance criteria.
Tool Use Is Fragmented: Different teams are using different AI tools without common rules, standards, or evidence practices.
Leaders Need Delivery Confidence: Executives need assurance that AI-assisted delivery can proceed without creating unmanaged risk.
AI-Enabled Delivery Context: Where AI tools are being used, proposed, or expected across analysis, delivery, documentation, testing, and governance work.
AI Tool Use and Risk Profile: Known tools, use cases, information exposure, quality risks, and unmanaged delivery concerns identified.
Traceability and Evidence Findings: Gaps in requirements traceability, decision records, acceptance criteria, audit evidence, and delivery documentation.
Executive Summary and Next Steps: Concise findings, recommendations, and practical actions to improve AI-enabled delivery governance.
Delivery Roles and Accountability Map: Key users, reviewers, approvers, decision owners, and escalation paths for AI-assisted delivery outputs.
Human Review and Validation Baseline: Required review points, validation expectations, approval gates, and human-in-the-loop responsibilities defined.
CAD $3,250
3-5 business days
A focused review to identify major AI-assisted delivery, quality, and governance gaps.
Executive intake & brief
AI-enabled delivery framing
High-level tool-use scan
Quality and review observations
Diagnostic summary
CAD $8,500
1-2 weeks
Our core engagement to assess whether AI-assisted delivery can proceed with appropriate controls, review points, and evidence.
Risks, assumptions & dependencies
All Diagnostic inclusions
Delivery governance baseline
Human review model
Readiness findings & next steps
CAD $15,500
3-4 weeks
Extended assessment for complex, multi-team, or enterprise-scale AI-enabled delivery environments.
All Readiness Assessment inclusions
Deep stakeholder analysis
Tool-use and workflow mapping
Review and approval model
Roadmap options
CAD $5,500
5-7 business days
An independent review of active AI-assisted delivery work before key decisions or implementation steps proceed.
Requirements and output review
Risk and assumption assessment
Delivery governance concerns
Traceability and evidence check
Go / refine / pause recommendation
This assessment focuses on AI-enabled delivery governance and readiness. The following are outside this engagement.
Solution design or technical architecture
Development or configuration work
AI model training or engineering execution
Ongoing program or project management
Clarity before acceleration: Understand where AI tools are being used and where delivery controls are needed.
Structured and pragmatic: Apply practical governance patterns to real delivery work, not abstract AI theory.
Quality and traceability: Strengthen review, validation, evidence, and accountability for AI-assisted outputs.
Delivery confidence: Produce actionable recommendations that help teams accelerate without losing control.