Workflow examples

Where AI helps inside small-team workflows.

Workflow examples are organised by workflow pain rather than sector. Find one repeatable process with enough volume to justify improvement.

Workflow library

Start where the work is already repetitive.

Each workflow example shows the pain, where AI can help, and the tier that usually makes sense first.

Sales admin workflow-sprint

Proposals, follow-ups, CRM updates, and meeting notes leak time after every conversation.

Drafts next steps, updates records, and turns call notes into usable sales admin.

Workflow detail
Customer communication workflow-sprint

Replies are slow, tone varies, and useful context is buried in inboxes.

Classifies requests, prepares reply drafts, and keeps humans in the approval loop.

Workflow detail
Reporting and internal data workflow-review

Weekly reporting depends on copy-paste work and last-minute chasing.

Collects inputs, summarises signals, and creates consistent report drafts.

Workflow detail
Internal knowledge workflow-review

People ask the same questions because the answer lives in someone's head or old documents.

Turns reliable source material into searchable, reviewed answers.

Workflow detail
Onboarding workflow-review

New starters get inconsistent checklists, handovers, and tool guidance.

Creates role-specific packs, checklists, and first-week support material.

Workflow detail
Operations handoffs workflow-sprint

Work stalls between sales, delivery, finance, and support because ownership is unclear.

Summarises status, flags missing inputs, and prepares clean handoff notes.

Workflow detail
Where AI does not help

Some friction needs a decision, not a model.

AI is not the right first move when ownership is unclear, the source material is unreliable, or the team cannot safely review the output.

  • Do not automate a broken process before mapping it.
  • Do not use AI to hide missing accountability.
  • Do not put sensitive customer or staff data into tools without clear rules.
  • Do not promise autonomous work where human review is required.
Recommended start

Bring one painful workflow to the first call.

A good first conversation needs a repeated task, a rough sense of the current pain, and a willingness to keep the scope honest.

Book a free workflow review
Next step

See if AI is worth it for your team.

Bring a repetitive workflow, a messy handoff, or a team question about AI. The first conversation is about whether there's a practical, safe starting point.