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Claude Enterprise · By operation

Claude Enterprise for Engineering and Product Teams

Claude Code in your engineering workflow. Faster shipping, fewer review cycles, better documentation. Deploy Claude across your dev team with the practices we use ourselves.

30-40%
Velocity uplift typical
6-10 weeks
Time to deploy
GitHub, GitLab, Linear, Jira, Slack
Native connectors
Google Cloud Partner
In the process of joining the Anthropic Claude Partner Network
10 Certified Claude Architects
50+ engineers
London-based

The pain

Engineering teams are under constant pressure to ship faster while maintaining quality. The first wave of AI coding tools (Copilot, Cursor) helped at the line level but did not change how teams work.

The next wave (Claude Code, agentic coding) changes the unit of work from "lines of code" to "features and tasks". Adopting it well requires more than buying licences. It requires changing how engineers work.

What Claude does for Engineering & Product

Claude Code in production

Agentic coding for feature development, refactoring, debugging, and Git workflows. Engineers describe what they need; Claude reads the codebase and ships it.

Connects to
GitHubGitLabLinear

Code review and quality

Claude reviews PRs against your code standards, catches likely bugs, and suggests improvements before human review. Reviewers focus on architecture and intent.

Connects to
GitHubGitLabCI

Technical documentation that stays current

READMEs, API docs, architecture diagrams generated from the code itself. Updated automatically as the code changes.

Connects to
RepoConfluenceNotion

System design and architecture review

Claude as a thinking partner for design decisions. Compare options, surface trade-offs, document the rationale.

Connects to
DriveMiroNotion

On-call support and incident response

Claude triages alerts, suggests root causes from logs, drafts incident summaries, and writes the post-mortem.

Connects to
PagerDutyDatadogSlack

How we deploy this

Step 1

Engineering Project setup

Architecture docs, coding standards, and key codebases loaded so Claude reasons with your system, not a generic one.

Step 2

Connectors and integrations

GitHub or GitLab, Linear or Jira, Slack, and your monitoring stack. Claude Code deployed with scoped Git permissions.

Step 3

Custom skills and training

Workshops on agentic coding patterns for your team. Skills for PR review, documentation sync, and incident response specific to your stack.

Claude Code for engineering teams

Engineering teams use Claude Code directly more than they use scripted agents. Here is how the four most common workflows look in practice.

Codebase navigation and refactoring

Claude Code reads the whole repo, understands the architecture, and executes multi-file refactors with tests. Engineers describe intent; Claude ships the change.

Feature development

New endpoints, UI components, and data models built from a spec. Claude writes the code, the tests, and the migration, then opens a PR.

Code review and quality

First-pass PR review against your standards. Bug likelihood, test coverage, and architectural concerns flagged before human review starts.

Technical documentation

READMEs, API docs, and architecture notes generated from the code itself and kept in sync as the code evolves.

A real example

We build software with Claude Code as a core part of our delivery process. Our agentic product development workflow uses Claude for project reporting, code review, and structured build processes. We are applying this to client projects (Sofia HR, GSLS, AiliRx) as well as internal work. Claude Code is not a productivity hack for us. It is how we ship.

Before

Engineering without Claude Code

  • Line-level autocomplete with Copilot or Cursor
  • Code review queues back up for half a day or more
  • Documentation written on Fridays, out of date by Monday
  • On-call engineers dig through logs manually
After

Engineering with Claude Code in production

  • Feature-level work: describe intent, Claude ships a PR
  • PRs pre-reviewed for standards and likely bugs
  • Docs generated from code and kept in sync automatically
  • Incident triage accelerated with log analysis in seconds

What this team gets

30-40%
Velocity uplift typical

Measured across feature throughput, PR turnaround, and cycle time once Claude Code is embedded in the workflow.

Fewer
Defects through PR review

Standards enforcement and bug-likelihood analysis happen before a human reviewer opens the PR.

Current
Documentation, always

READMEs, architecture notes, and API docs generated from code and updated on every merge.

Questions about this operation

Yes, with scoped permissions. Claude Code operates inside the Git boundaries you grant it, opens PRs for review, and never merges unilaterally. Every change goes through your standard review and CI.

Copilot and Cursor help at the line and file level. Claude Code operates at the feature and task level: it reads the whole repo, plans the change, writes the tests, and opens the PR. The unit of work is larger.

Good engineers adopt tools that make them faster without compromising quality. The Capability Programme includes workshops on agentic patterns so the team sees the uplift first-hand, which usually flips scepticism quickly.

Anthropic does not train on enterprise customer data by default. Code stays in your Claude Enterprise workspace. Audit logs and data retention policies are available at the standard required by engineering IP protection.

Book a discovery call

A 30 minute conversation about where your company is, what is possible, and whether the Readiness Assessment is the right next step.

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Have a specific question

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