What is AI strategy?
AI strategy is an organization’s vision and concrete plan for leveraging AI technologies to drive differentiation, business growth, and process optimization.
What does an AI consultant do?
AI consultants collaborate with business leaders to establish AI use cases, define transformation projects, and assist with the successful launch and adoption of AI solutions.
What is an example of AI consulting?
Say a business wants to implement Microsoft Copilot for internal users, but they’re not sure exactly how Copilot can help their team across different departments and applications. Microsoft Copilot training and consulting can provide strategic guidance on what the organization can achieve with AI. They can also advise on data governance and any transformation required to prepare for AI, as well as address any cybersecurity concerns. Depending on the consultancy, they may also conduct the implementation and offer support after the solution launches.
Should we be concerned about data security and AI?
The answer depends on what AI tool(s) your team is using and how they’re implemented.
If your employees are using ChatGPT without oversight, you have an unaddressed data security risk. Any information entered in a ChatGPT prompt can be returned in an answer to any user’s prompt because ChatGPT is trained on user inputs. Many organizations aren’t aware of this risk.
If you use Microsoft Copilot, your data stays within your Microsoft 365 environment. The tool is not trained on user inputs, and Microsoft respects your organization’s data privacy.
Learn more here: Copilot vs. ChatGPT.
What are AI managed services?
AI managed services are services that empower an organization to run better with AI while removing the burden of support and management. An AI service provider typically offers strategic consulting, planning, implementation, assistance with adoption, and ongoing support and advice.
Organizations turn to AI managed services when they lack the bandwidth to roll out AI comprehensively, but they need to leverage the power of the technology. It’s a great move, as it allows the organization to stay focused on its core mission while reaping the benefits of AI.
What are the biggest missed opportunities in AI strategy?
The answer depends on the industry, but a good AI consultancy can uncover these in the context of your business. Missed opportunities typically include productivity increases from generative AI, efficiency gains in customer service, error reduction in internal processes, and more.
What sets apart the best AI consultancies?
Some AI consultancies will try to transform an entire organization in one giant project. The best consultancies look at transformation from an iterative perspective. They won’t let you bite off more than you can chew. Rather, they’ll advise on a gradual series of transformation projects, each one with guardrails in place. This ensures that every stage of AI transformation is manageable and highly attainable.
Why choose Corsica for AI consulting and managed services?
Corsica specializes in assisting companies to leverage AI to improve customer experience, automate internal efficiencies, and increase overall profitability.
What does onboarding look like for AI consulting?
Here is a high-level implementation roadmp for our AI consulting onboarding:
Phase 1: Discovery & Assessment
- Map current tools and workflows
- Prioritize use cases by ROI and time-to-value
Phase 2: Pilot Implementation
- Launch pilots in HR, Finance, Marketing, and Tech
- Collect feedback and measure KPIs
Phase 3: Integration & Scaling
- Connect AI tools to core platforms (CRM, ERP, SQL)
- Optimize workflows and deploy to production
Phase 4: Training & Adoption (Ongoing)
- Deliver AI literacy and role-specific workshops
- Appoint AI champions and provide toolkits and support
As your AI consultant and managed service provider, Corsica will:
- Act as your Organization’s Conversational AI Strategy Expert (Consulting)
- Create an Immersion Project to determine best use of AI for your business (Analysis)
- Manage a solution selection of RFx process using “off the shelf” solutions (AI Procurement)
- Leverage AI-powered Software Development:
- Identify the Problem that needs solving
- Gather Data
- Clean & Prepare Data for Model Training
- Choose the Best AI technology
- Build and Train the Model
- Test the Model
- Deploy and Maintain/Improve the Model
Originally published January 15, 2024. Completely revamped June 12, 2025.
