Sample Deliverable
AI Opportunity Plan Structure
This sample shows how the final AI Opportunity Scan deliverable is organized. Your actual plan is built from your business context, assessment responses, review session, systems, goals, workflows, industry realities, and source material.
This is a sample framework for demonstration purposes. It is not a real client report and does not represent a specific company's recommendations.
Section 01
Executive Overview
Your plan begins with a clear summary of what we learned from your intake, review, and strategy session, centered on one core question: Where does AI appear to have the strongest practical fit inside your business?
What this section clarifies
- Where AI may create practical leverage
- Which workflows or systems show the most opportunity
- What should be explored first
- Whether you're ready now or need source preparation first
The result is a high-level interpretation of where AI, automation, workflow improvement, better source organization, or clearer decision support may apply — so you understand the most important themes before reviewing the detailed recommendations.
Section 02
Business Context Snapshot
Recommendations are grounded in how your business actually operates. The same tool can be valuable in one business and distracting in another, so this section captures the context we used to evaluate your opportunities.
This keeps every recommendation tied to your real operating reality rather than generic best practices.
Section 03
Opportunity Summary
This section identifies the strongest AI opportunity areas found during the scan and separates meaningful opportunities from distractions. Each area is explained through the opportunity itself, the business problem it addresses, the practical AI fit, the readiness consideration, and the expected type of value.
Opportunity areas may include
This section is not designed to tell you to use AI everywhere — it's designed to focus your attention on what's actually worth pursuing.
Section 04
Priority Roadmap
The findings are organized into a practical roadmap so you know what's worth doing first, what should wait, and what needs cleanup before AI is useful.
Start Now
Practical next steps that can create clarity or value quickly — process improvements, better intake, source organization, tool configuration, documentation, or early AI-supported workflows.
Next 30–60 Days
Opportunities that may be valuable soon but require initial preparation, team alignment, source material, or workflow cleanup first.
Later / Larger Build
Deeper opportunities that may require custom workflow design, system integration, a source layer, internal knowledge architecture, or a broader intelligence layer.
Not Recommended Yet
Ideas that sound exciting but should wait — the business isn't ready, the source material isn't strong enough, the process is unclear, or the human review requirements are too high.
Section 05
Source Readiness Notes
AI can only be as useful as the context it can access and trust. This section evaluates how prepared your business knowledge, documents, data, processes, conversations, and systems are to support reliable AI workflows.
Source Strengths
- Repeatable categories and clear workflow patterns
- Existing communications and historical proposals
- Strong in-house expertise and useful documentation
- Recurring questions and structured operational data
Source Gaps
- Scattered documents and inconsistent data fields
- Missing process documentation and unstructured call context
- Knowledge trapped in experienced team members
- No centralized source of truth or weak system connections
Sometimes the best next step isn't building an AI agent — it's organizing the source material that would make a future agent, workflow, or intelligence layer useful.
Section 06
Recommended Next Steps
This turns the findings into a practical path forward. Depending on what we find, the recommended next step may be any of the following:
Process improvements
Clarifying workflows, handoffs, intake steps, or approval checkpoints before adding AI.
Source organization
Preparing documents, data, conversations, content, or knowledge so AI systems can use them reliably.
Existing tool optimization
Using or configuring tools you already have more effectively before buying or building something new.
Third-party platform evaluation
Checking whether an existing platform solves the problem well enough without a custom build.
Custom workflow exploration
Identifying cases where a custom AI workflow, assistant, agent, or integration is the better long-term option.
Intelligence layer readiness
Assessing whether a deeper, connected intelligence layer is the right direction over time.
The recommendation isn't always "build something custom." It's whatever appears to be the right next move based on your business, systems, goals, and readiness.
Section 07
Human Review Considerations
The goal isn't automation at all costs — it's useful intelligence with the right level of human oversight. This section identifies where human judgment should stay part of the workflow.
Keep humans central for
- Customer-facing commitments and sales promises
- Pricing, financial, legal, or regulated content
- Brand-sensitive communications and final approvals
- Complaints, disputes, and strategic decisions
AI may be better suited for
- Drafting first-pass summaries and internal briefs
- Organizing inputs and reformatting messy information
- Finding repeated patterns and surfacing follow-up questions
- Helping teams locate approved source material
Section 08
Strategic Fit
This connects the findings to the larger direction of your business — across the functions where AI is most likely to create leverage.
Sales
Lead intake, qualification, follow-up, proposal prep, CRM usage, and pipeline visibility.
Marketing
Content planning, campaign development, SEO workflows, brand consistency, and customer education.
Operations
Internal handoffs, project coordination, documentation, process visibility, and quality control.
Customer Experience
Response time, consistency, personalization, support, onboarding, and expectation-setting.
Reporting & Decisions
Organizing business data, surfacing patterns, and improving decision visibility.
Knowledge Management
Capturing, organizing, retrieving, and reusing the knowledge your business already has.
Section 09
Opportunity Matrix
A simple scorecard makes tradeoffs easier to see. Many AI ideas sound exciting in isolation — the matrix compares them realistically so you can focus on the best next move instead of the loudest idea.
Illustrative only — labels are generic and do not represent a specific recommendation set.
Section 10
Final Recommendation
The final recommendation summarizes the clearest path forward — what to do first, what to avoid doing too soon, what needs cleanup, and what decision the business should make next.
What we will not do
We won't recommend complexity for its own sake, assume custom AI is always the answer, or push a product when the better move is to improve a process, use an existing system, or evaluate a third-party solution.
The goal is not to add AI everywhere. It's to identify where AI creates practical leverage based on your real workflows, systems, knowledge, goals, and readiness.
What You Walk Away With
Clarity Across Six Core Areas
Your final AI Opportunity Plan is designed to give you clarity across the areas that matter most for a confident next step.
Opportunity Summary
A clear view of where AI may create the most relevant value inside your business.
Priority Roadmap
What to do now, what to prepare, and what to revisit later.
Source Readiness Notes
Where your business knowledge is ready — and where it needs organizing first.
Recommended Next Steps
A practical path forward, whether that's cleanup, optimization, or a build.
Human Review Considerations
Where AI can assist safely and where human judgment stays central.
Final Recommendation
The clearest next move based on your workflows, systems, goals, and readiness.
Ready to See What This Looks Like for Your Business?
The sample shows the structure. Your scan shows the actual opportunities, priorities, readiness gaps, and next steps based on your business.