Weekly plan
| Week | Theme | Saturday and Sunday focus | Working session | Artifact |
|---|---|---|---|---|
| 1 | Executive thesis and baseline | Role and ambition discovery; capability baseline across data, platforms, AI and operating model | Outcome tree and evidence inventory; stakeholder map | Executive thesis and baseline scorecard |
| 2 | Customer data and value | Customer lifecycle, KPI trees, current-state assessment of data, identity and consent | Problem brief and decision rights; prioritised use cases | Problem brief and use-case shortlist |
| 3 | MarTech reference architecture | Platform ecosystem; AEP and Real-Time CDP, identity, profile, governance | Architecture review questions; build, buy or configure | Target-state architecture v1 |
| 4 | Data and integration for leaders | Event quality, APIs, batch and streaming, data quality and observability | Hands-on validation of a sample pipeline and schema | Data-readiness assessment |
| 5 | Journeys and measurement | Journey orchestration, suppression, testing; Customer Journey Analytics and experiment design | Journey blueprint and measurement model | Journey test plan and KPI tree |
| 6 | AI strategy | Generative AI, RAG and agents in the enterprise; use-case scoring by value, effort and risk | AI opportunity workshop on your own processes | Prioritised AI use-case backlog |
| 7 | Agentic AI and MCP | Tools, state, approvals and audit trails; MCP and least privilege | Design a supervised agent with a release checklist | Agent release checklist and risk register |
| 8 | Operating model and governance | CIO-CMO alignment, decision rights, forums, escalation and release gates | Draft a RACI and an operating cadence for your organisation | Governance pack |
| 9 | Business case and value | Investment case, benefits baseline, cost and FinOps, risk and adoption | Build a one-page investment case with assumptions labelled | Executive investment case |
| 10 | Capstone and 90-day plan | Capstone presentation, peer challenge and gap closure | Executive review and next-quarter roadmap | Capstone and 90-day plan |
Midweek checkpoints
- Checkpoint A: inspect evidence, unblock the current task, test assumptions and update the risk log.
- Checkpoint B: check the artifact against acceptance criteria, review progress against the mission and set the next commitment.
Inside each four-hour session
| Time | Activity | Output |
|---|---|---|
| 0:00-0:20 | Review commitments, blockers and decisions since the last session | Updated status |
| 0:20-1:20 | Teach one core idea with a real enterprise pattern | Shared mental model |
| 1:20-2:50 | Build, analyse or rehearse on your own context | Visible artifact |
| 2:50-3:30 | Challenge assumptions and test edge cases | Decision log |
| 3:30-4:00 | Summarise, assign owners and set acceptance criteria | Next actions |
Platforms and references
Examples use Adobe Experience Platform, Real-Time CDP, Journey Optimizer and Customer Journey Analytics, with AI and agent patterns that apply across vendors. Official references are used first, including Adobe Experience Platform documentation and the Model Context Protocol site. Infinite360 is independent and is not an Adobe partner.
Outcomes are the artifacts and decisions you produce. No business result, promotion, job, salary or certification is guaranteed. GST treatment and payment terms are confirmed in writing before any payment.
Frequently asked questions
Do I need prior Adobe experience?
No. The program is strategy-led and explains each platform concept in business terms.
Are sessions recorded?
The program is live. Whether recordings are shared is confirmed at enrolment.
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