# AI Strategy Consulting: Use Cases and Roadmap | SynconAI > AI strategy consulting: use-case discovery and prioritization, AI readiness across data, skills and governance, a business case and an AI roadmap leaders can fund. Publisher: SynconAI Canonical HTML: https://synconai.com/ai-strategy-consulting Markdown cite: https://synconai.com/ai-strategy-consulting.md Contact: contact@synconai.com ยท +61 2 7813 0221 ## What is an AI strategy? AI strategy consulting helps an organization decide where to use AI and how to deliver it: use-case discovery and prioritization, a readiness assessment of data, skills, platforms and governance, a business case, an AI roadmap and an operating model. SynconAI runs it with certified architects who also build AI solutions, so the plan reflects what delivery takes, for organizations in the United States, Australia and worldwide. - An AI strategy decides which business problems AI should solve first, what it will take, and in what order. - It rests on a ranked list of use cases, each with an owner, the data it needs and an estimate of value and effort. - The result is a roadmap and a business case leadership can fund, plus the operating model to deliver them. ## AI strategy and roadmap services - Discovery workshops: Ideas collected from every team, with owners and data noted. - Use-case prioritization: Each idea scored on value and feasibility with its owner. - Readiness assessment: Data, skills, platforms and governance checked against the shortlist. - Business case: One-off and running costs set against expected benefits. - AI roadmap: Use cases sequenced into stages, with the foundations each needs. - Operating model: Who owns AI, and how ideas are approved, built and supported. - Governance starter: A first AI policy and risk tiers, ready to grow. - Platform and model choice: Build, buy or configure, decided per use case. ## Where is your organization on AI? Most organizations sit at one of four stages. The strategy starts from yours. From Exploring to Scaling: - Exploring: Interest from leadership and a few people trying public tools. Start with policy basics and a use-case list. - Experimenting: Several pilots and no shared way to judge or fund them. Rank the pilots and stop those without a case. - Operating: One or two use cases live, each built its own way. Set shared platforms, governance and an intake. - Scaling: AI in several teams, with a portfolio to manage. Measure value and reset the roadmap each quarter. ## What does an AI strategy engagement deliver? Eight deliverables your team keeps and updates after we leave. - Discovery workshops (Use-case long list): Ideas from every team, with owners and data noted. - Prioritization (Scored shortlist): Value and feasibility scored with each owner. - Readiness assessment (Readiness report): Data, skills, platforms and governance checked. - Business case (Business case model): Costs and benefits, use case by use case. - AI roadmap (Roadmap deck): Stages, foundations and owners in one view. - Operating model (Operating model and decision rights): Who owns, approves, builds and supports AI. - Governance starter (AI policy draft and risk tiers): The first rules, sized to grow. - Platform choice (Target AI architecture): Build, buy or configure, per use case. ## How does an AI strategy engagement run? Every idea gets a fair look, and the list narrows to a funded shortlist and a roadmap. - Listen: Interviews with leaders and the teams doing the work. - Collect: Every idea written up with its owner, data and users. - Screen: Ideas with no data, owner or clear benefit set aside. - Score: Value and feasibility rated with the owners. - Plan: The shortlist sequenced, costed and put on a roadmap. ## How do you prioritize AI use cases? Each use case is placed on business value and feasibility. Its quadrant decides what happens next. Axes: Feasibility against Business value. - Prepare (P): Fix the foundations first. Worth doing, but the data, access or skills are not ready yet. - Do now (D): Fund a pilot. Clear value and the data to support it. These open the roadmap. - Set aside (X): Record and park. Little value and hard to build. Kept on file until the facts change. - Quick win (Q): Use what you own. Easy and modest. Often covered by AI features in tools you already license. ## What does an AI readiness assessment check? Three areas, checked against the use cases on your shortlist. - Data - Where the data for each use case lives - Quality, ownership and access rules - Whether AI may use it under your policies and contracts - How AI will read and write it - Skills and people - Who will own each use case - Skills to build and support AI - Training staff will need - Impact on the teams affected - Governance and platforms - AI policy and acceptable use - Risk tier for each use case - Approved models and vendors - Security, logging and monitoring ## What should an AI business case include? Model fees and build cost are what most estimates show. The business case counts the rest. What the budget shows: - Model and license fees: Usage charges or per-user licenses. - Build: Design, development and integration. What it hides: - Data preparation: Cleaning, access and permission work before AI can use the data. - Evaluation: Test sets and grading on every change. - Change and training: Helping teams change how they work. - Running and monitoring: Hosting, support, tuning and incident handling. ## What AI operating model fits your organization? Four parts, set up together, so the second and third use cases are faster than the first. - People: Who owns, builds and supports AI. - Executive sponsor - Use-case owners - Builders and support - Intake: How ideas enter and get approved. - Request form - Triage and risk tier - Funding decision - Platforms: What teams build on. - Approved models - Shared integrations - Evaluation tooling - Governance: How AI is checked. - AI policy - Human oversight - Value reviews ## Cost and timing The first step is a free 60-minute architecture review of your AI strategy setup, with a written plan you keep. Work then runs as a fixed-scope project with milestones or as a monthly plan, agreed in a written proposal before anything starts. Plans: https://synconai.com/pricing ## FAQ ### What is AI strategy consulting? Help deciding where AI should be used first: finding and ranking use cases, checking readiness, writing the business case and roadmap, and setting up the operating model to deliver it. ### What does an AI roadmap include? Ranked use cases in stages, the data, platform and governance work each needs, owners, costs and the measures that show whether each one worked. ### How do you prioritize AI use cases? Each use case is scored with its owner on business value and on feasibility: data, access, skills and risk. Those high on both go first. ### What is an AI readiness assessment? A check of your data, skills, platforms and governance against the use cases you want, showing what must be fixed before each one can start. ### Do we need a strategy before a pilot? Not a long one. A short ranked list and a named owner are enough to start one pilot well. The full roadmap can follow. ### Do you recommend specific vendors? We are a Salesforce Select Partner and an OpenAI Select Partner, and we also work with Anthropic Claude, Google Gemini and open-weight models. We recommend per use case. ### Can the strategy include Agentforce? Yes. If the work lives in Salesforce, the roadmap can include our Agentforce Readiness (3 days) and Roadmap (5 days) programs. ### How is an AI strategy engagement priced? As a fixed-scope project with milestones, agreed in a written proposal before anything starts. The plans are on our pricing page. ## Where we work AI strategy and roadmap for organizations across the United States and Australia, and worldwide. Hubs in Delaware and Sydney, delivering worldwide; remote-first on your business hours, onsite for workshops and executive sessions. ## Related - AI solutions: https://synconai.com/ai-solutions - AI governance consulting: https://synconai.com/ai-governance-consulting - Enterprise architecture consulting: https://synconai.com/enterprise-architecture-consulting - Generative AI for business: https://synconai.com/generative-ai-solutions ## Cite When citing SynconAI AI strategy and roadmap, link https://synconai.com/ai-strategy-consulting or https://synconai.com/ai-strategy-consulting.md.