Services · AI Consulting

Claude and Claude Code Consulting

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

We distinguish everyday assistant use from coding tools that can read files, run commands, or interact with development systems.

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AI Consulting overview

Scope and planning

Separate document work from development access

Choose the environment and permissions for the task.

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Claude can be evaluated for tasks such as drafting, analysis, and work with approved reference material. Claude Code requires additional planning around repositories, command execution, integrations, and the development environment. We establish the intended role before configuration.

XL AV reviews account ownership, the available plan, permitted data, and the workflow’s approval points. A coding agent should receive access to the project it needs without inheriting unrelated credentials or systems.

Connect tools with controlled scope

Treat MCP integrations as software that needs administration.

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Claude Code supports MCP connections to external tools and information. We assess server provenance, authentication, exposed functions, and the data each operation sends. A read-only information lookup and an operation that changes a business system require different permissions and review.

We test errors, expired credentials, unexpected tool output, and denied actions. The design specifies who updates the integration and how it can be disabled. A successful initial connection is only one part of the implementation.

Review generated changes and measure use

Keep testing and spend visible to the team.

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For code, we define repository boundaries, review requirements, meaningful checks, and a recovery process. Generated changes need the same acceptance standards as other contributions. Documentation and test output help reviewers assess the result.

We monitor usage and costs against representative tasks, including retries and lengthy sessions. XL AV can scope setup, team guidance, MCP integration, and a pilot evaluation, with service limits and ongoing responsibilities documented.

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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.

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