Services · AI Consulting

AI Training and Team Adoption

Train staff to use AI on real work, check results, handle company information appropriately, and follow repeatable workflows.

Training combines practical exercises with the operating rules your organization needs.

Request an AI consultation

AI Consulting overview

Scope and planning

Teach by role and task

Use examples that staff can apply after the session.

Read more

A sales team may need a meeting brief or a draft follow-up. An administrative team may need to compare documents or prepare an internal summary. Developers may need a reviewed coding workflow. We establish relevant examples and use approved or sanitized material for training.

Core exercises cover describing the task, supplying context, specifying the format, and checking the response. Participants learn how to identify missing information and when to return to the underlying source. Longer prompts alone do not establish a useful workflow.

Build review and data handling into the exercise

Make the operating method part of the training.

Read more

Staff need to know which accounts are approved, which information can be used, and which outputs require review before sharing. We include practice identifying unsupported claims, incomplete summaries, and incorrect assumptions.

Connected tools need additional guidance: what access is granted, which actions change records, and when a person must approve the next step. Training uses the organization’s actual boundaries and escalation process rather than a generic permission checklist.

Support adoption after the workshop

Provide reusable guidance and a way to measure progress.

Read more

Deliverables can include role-specific exercises, reusable task instructions, a review checklist, and a staff operating guide. We identify internal champions and a process for reporting failed or confusing results.

Follow-up evaluation can measure accepted tasks, correction time, repeated mistakes, and unused licences. XL AV scopes the audience, session format, materials, and follow-up work before delivery. Attendance alone is insufficient evidence that a workflow has improved.

Related AI consulting services

AI Workflow Assessment and Pilot Planning

Identify worthwhile AI use cases, measure the current process, and build a pilot with clear acceptance criteria.

Microsoft Copilot Consulting and Adoption

Plan Microsoft Copilot adoption around Microsoft 365 workflows, information access, licensing, and staff training.

Google Gemini and Workspace AI Consulting

Evaluate Gemini for Google Workspace workflows, with account controls, source preparation, training, and pilot testing.

Claude and Claude Code Consulting

Integrate Anthropic Claude and Claude Code into document and development workflows with defined access, review, and cost controls.

ChatGPT and Codex Consulting

Plan OpenAI ChatGPT and Codex workflows, integrations, team guidance, and evaluation around your organization’s requirements.

MCP Server Setup and AI Integration

Connect approved AI tools to business systems through scoped MCP servers, with authentication, testing, and documented ownership.

AI Cost Controls and Usage Management

Understand AI subscriptions, API consumption, usage limits, and automation costs before expanding deployment.

AI Governance, Data Access, and Quality Assurance

Define permitted AI use, information access, output review, and operational ownership before expanding connected workflows.

AI Middleware and Token Optimization

Use AI-assisted development and reusable middleware to reduce unnecessary model calls, repeated context, and token consumption.

Local and Offline AI Model Deployment

Plan local, on-premises, offline, or hybrid AI models with suitable hardware, data boundaries, performance testing, and maintenance.

Plan your AI project

Tell us which workflow you want to improve, the systems you use, your existing AI subscriptions, and your requirements for data access, budget, and staff training.

Request an AI consultation