Integrating Claude into Existing Workflows

Audience: professionals who use Claude at work, no coding or API knowledge needed. Verified = checked against Anthropic's documentation or help center on 2026-10-16. Design guidance = widely taught practice, not a documented rule.

Augment or redesign (design guidance)

• Augment: keep the process, give people a faster tool for specific steps (drafting, summarising, extracting, checking).
• Redesign: change the process around what Claude does well (for example turn intake emails straight into structured records for review).

Start by augmenting; redesign once you have evidence.

Method

1. Map the current workflow step by step: inputs, owners, tools, time, error points.
2. Find the steps that are text-heavy, repetitive, rule-based or slow: summarising meetings, drafting replies, classifying requests, extracting data from documents, first-pass reviews, checking consistency.
3. Rate each step for stakes and verifiability (D2.1).
4. Decide the role: Claude drafts, a person approves; Claude checks, a person fixes; Claude does the routine, a person handles exceptions.
5. Pick the right feature: a Project with standing instructions, connectors to pull data from where it lives, a skill for a repeatable task (D3.3).
6. Pilot with a small group on real work, with a baseline, and measure time, quality and satisfaction.
7. Standardise what works (shared prompts, project templates, checklists) and train people.
8. Review regularly; workflows drift.

Where Claude can appear (verified)

The Claude documentation lists integrations such as Slack, Microsoft 365 apps (Excel, PowerPoint, Word, Outlook), the desktop and mobile apps, Claude in Chrome and connectors to tools like Google Drive and Gmail. Availability depends on your plan and your organisation's settings.

Change management (design guidance)

• Involve the people who do the work; they know the exceptions.
• Be clear about what stays human and why.
• Train on how to check output, not only how to prompt.
• Make it easy to report problems and visibly act on them.
• Do not remove the old path until the new one is trusted.

Risks to manage

Data leaving approved boundaries, over-reliance, inconsistent use across the team, hidden extra review time, and process steps that quietly depended on a human noticing something.

Exam traps

• Automating a broken process.
• Skipping the baseline, so benefit cannot be shown.
• No human role defined for exceptions.
• Everyone using different prompts with no standards.
• Rolling out to everyone at once.