A tailored course, built for your situation
Premium engagement picks in generative AI
Access higher-margin projects with confidence and strategic fit
$199 one-time
24-hour access provisioning
30-day money-back guarantee
Hand-built implementation playbook
12 modules. 12 chapters per module. 144 chapters total.
12 modules, each with 12 chapters (144 chapters total), text-based, plus downloadable templates and a hand-built implementation playbook delivered alongside course access.
Stuck evaluating too many low-impact AI proposals?
The situation this course is for
Many strong technical practitioners are overloaded with requests but lack a consistent way to assess which generative AI projects are worth their time, leading to diluted impact and missed leverage points.
Who this is for
Senior IC in financial services driving generative AI initiatives with strategic and technical rigor
Who this is not for
This course is not for beginners in AI, general IT staff, or those looking for introductory prompt engineering tutorials.
What you walk away with
- A scored framework to prioritize generative AI projects by strategic fit, margin potential, and sponsorship strength
- Templates to rapidly assess technical feasibility and data readiness without over-investing upfront
- Positioning language to align generative AI work with executive priorities and budget cycles
- A repeatable process to decline low-leverage work gracefully and redirect to higher-value opportunities
- Case examples from peer financial institutions showing how selective engagement drives outsized returns
The 12 modules (with all 144 chapters)
Module 1. Defining leverage in generative AI
Understand how top practitioners differentiate high-leverage projects from background noise using real examples from financial services.
12 chapters in this module
- What leverage means in AI projects
- Margin profiles of AI use cases
- Sponsorship quality indicators
- Budget cycle alignment
- Strategic fit scoring
- Data readiness thresholds
- Regulatory runway signals
- Internal vs. client-facing impact
- First-mover advantage timing
- Cross-functional dependency mapping
- Exit criteria for low-potential work
- Case: Fraud detection vs. chatbot rebuild
Module 2. Project intake with intent
Build a filter-first approach to incoming AI proposals using a lightweight scoring system that preserves technical credibility.
12 chapters in this module
- Designing a project intake form
- Minimum viable scope definition
- Scoring business alignment
- Identifying sponsor commitment
- Estimating hidden dependencies
- Assessing model refresh cycles
- Flagging integration debt
- Rule of three feasibility checks
- Data provenance signals
- Compliance surface area scan
- Speed-to-value estimation
- Decline-with-grace messaging
Module 3. Technical feasibility triage
Deploy a rapid assessment method to determine if a generative AI concept can deliver value without deep prototyping.
12 chapters in this module
- Data pipeline audit points
- Model drift risk indicators
- Latency tolerance by use case
- Output validation feasibility
- Bias surface exposure levels
- Human-in-the-loop necessity
- Audit trail requirements
- Security boundary checks
- Explainability thresholds
- Fallback mechanism design
- Cost-per-inference estimation
- Vendor lock-in red flags
Module 4. Strategic fit evaluation
Map proposed AI work to business outcomes that matter now, profitability, client retention, regulatory positioning.
12 chapters in this module
- Linking AI to revenue drivers
- Cost avoidance justification
- Client experience metrics
- Risk reduction quantification
- Strategic theme alignment
- Board-level priority mapping
- Competitive benchmarking
- Internal champion identification
- Budget owner alignment
- Regulatory advantage potential
- First-mover opportunity window
- Exit ramp planning
Module 5. Sponsor alignment signals
Recognize the difference between casual interest and real sponsorship, then position your work to attract the latter.
12 chapters in this module
- Sponsor commitment levels
- Budget ownership clarity
- Escalation path access
- Meeting frequency signals
- Decision authority mapping
- Stated priority vs. action
- Resource allocation history
- Cross-team influence signs
- Executive airtime patterns
- Crisis response role
- Innovation budget access
- Sponsor handoff protocols
Module 6. Positioning for higher-margin work
Shape narratives around generative AI projects to attract bigger budgets and better visibility, without overpromising.
12 chapters in this module
- Value articulation framework
- Margin-aware scoping
- Budget language mapping
- Outcome-based timelines
- Risk-adjusted roadmap
- Stakeholder map building
- Executive summary templates
- Pilot phase definition
- Success metric selection
- ROI storytelling
- Influence path planning
- Feedback loop design
Module 7. Declining low-leverage work
Maintain credibility while redirecting effort toward higher-impact opportunities using structured, positive alternatives.
12 chapters in this module
- Respectful decline language
- Alternative suggestion engine
- Capacity transparency
- Timing-based deferral
- Successor project handoff
- Knowledge capture protocol
- Reputation risk mitigation
- Cross-team referral paths
- Leadership expectation setting
- Workload visibility tools
- Future opportunity flagging
- Follow-up timing rules
Module 8. Repeatable evaluation artifacts
Build a library of decision-ready templates and scoring tools that compound value across engagements.
12 chapters in this module
- Standardized scoring sheets
- Feasibility checklist library
- Case example repository
- Decision rationale archives
- Sponsor assessment templates
- Risk profile catalogs
- Compliance mapping guides
- Data audit trails
- Integration dependency maps
- Cost modeling frameworks
- Stakeholder summaries
- Post-mortem synthesis
Module 9. Influence without authority
Amplify impact as an individual contributor by shaping project selection from behind the scenes.
12 chapters in this module
- Credibility capital sources
- Peer influence tactics
- Data-driven recommendations
- Meeting intervention patterns
- Backchannel alignment
- Evidence package building
- Silent consensus shaping
- Pilot project seeding
- Cross-functional visibility
- Thought leadership triggers
- Mentorship leverage
- Influence metric tracking
Module 10. Building strategic visibility
Ensure high-leverage work is seen by the people who control budgets and promotions, without self-promotion.
12 chapters in this module
- Executive briefing rhythm
- Success story packaging
- Leadership update integration
- Cross-team showcase events
- Internal publication channels
- Metrics dashboard visibility
- Sponsor recognition sharing
- Peer validation loops
- Crisis-to-opportunity framing
- Innovation pipeline reporting
- Budget cycle timing
- Impact amplification checklist
Module 11. Scaling selectivity
Turn personal judgment into team-wide capability by templating and transferring evaluation skills.
12 chapters in this module
- Evaluation onboarding
- Scoring calibration sessions
- Team decision frameworks
- Mentorship playbooks
- Delegation criteria
- Feedback loop integration
- Common mistake catalog
- Bias mitigation protocols
- Performance review alignment
- Tooling standardization
- Audit readiness checks
- Culture signal tracking
Module 12. Compounding engagement quality
Use insights from past projects to refine future selection, building a self-reinforcing cycle of better picks.
12 chapters in this module
- Post-engagement review design
- Leverage ratio calculation
- Sponsor satisfaction tracking
- Margin realization audit
- Lessons codification
- Template iteration
- Feedback integration
- Trend detection
- Portfolio rebalancing
- Successor project seeding
- Influence expansion
- Long-term impact mapping
How this maps to your situation
- Evaluating a new AI proposal
- Prioritizing across multiple requests
- Declining low-impact work gracefully
- Positioning for executive visibility
Before vs. after
Before
Evaluating generative AI projects based on urgency or visibility, leading to diluted effort and missed leverage opportunities.
After
Confidently selecting only high-margin, high-sponsorship generative AI engagements that compound influence and visibility.
What's included with your purchase
- 12 modules with 12 chapters each (144 chapters)
- Downloadable templates and worked examples for every module
- Hand-built implementation playbook delivered alongside course access
- 30-day money-back guarantee
Delivery and format
- Course and learning environment access provisioned within 24 hours of purchase
- Hand-built implementation playbook delivered alongside course access
Format: Text-based modules and chapters in the Art of Service learning environment, plus downloadable templates and worked examples for every chapter, plus the hand-built implementation playbook delivered alongside course access.
Time investment: Approximately 2.5 hours per module, designed to be completed over 4, 6 weeks with practical application between modules.
If nothing changes
Continuing to accept low-leverage AI projects risks spreading expertise too thin, missing opportunities for outsized impact, and remaining invisible to budget owners and sponsors who control high-margin work.
How this compares to the alternatives
Unlike generic AI strategy courses, this program focuses exclusively on project selection and leverage for senior ICs in regulated environments, giving you tools to say 'yes' more strategically and 'no' more confidently.
Frequently asked
Is this course technical or strategic?
It’s for technical practitioners making strategic project decisions. You’ll keep your depth but gain sharper selectivity.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Will this help me get promoted?
It focuses on compounding impact and visibility, conditions that lead to advancement, though promotion isn’t the core subject.
$199 one-time. Approximately 2.5 hours per module, designed to be completed over 4, 6 weeks with practical application between modules..
Within 24 hours your account in the learning environment is provisioned and the tailored implementation playbook is delivered alongside it.
30-day money-back guarantee·
144 chapters·
Hand-built playbook included·
Account access within 24 hours