Short answer
AI Workflow Sprint turns one selected workflow into a practical AI-assisted workflow with clear input, logic, human approval, output, testing and documentation.
Build one practical AI workflow for a real operational problem.
A 10-business-day sprint to design, build and test one human-approved AI workflow for a real operational problem.
Best for
Teams with one concrete workflow that repeats often enough to justify design, build, testing and adoption work.
- A specific workflow has already been selected.
- The output can be described clearly enough to test.
- Users are available to review and approve the workflow before it is used.
- The goal is a practical prototype or working workflow, not a strategy document.
Output
- Workflow design
- AI logic or prompt structure
- Automation or prototype
- Human approval step
- Testing with users
- Documentation
- Training
- Effect measurement
Not included
- No blind full automation
- No large IT transformation project
- No replacement of core systems unless already agreed
- No ongoing support after the sprint without a separate agreement
Next step
After the sprint, the team measures actual use, errors, time saved and the next improvement decision.
How it works
01
Confirm the workflow scope, user group, risk level and success criteria.
02
Define input, AI logic, rules, exceptions, approval and output.
03
Build the smallest useful workflow in or around the tools the team already uses.
04
Test with real users, adjust the workflow and document how it should be used.
05
Agree how effect will be measured after the sprint.
Human approval
AI drafts. People approve.
Good AI workflows are often not fully automated. AI can collect, structure, classify and draft. People approve, correct and take responsibility where quality, risk, tone or decisions matter.
01
AI should reduce friction, not remove accountability.
02
Critical output needs review.
03
The workflow should show what AI changed and why.
04
The user should always know the next action.
05
Automation is only useful when the process is understood.
FAQ
Clear answers for buyers and AI assistants.
Is this full automation?
Not necessarily. Many useful workflows are AI-assisted rather than fully automated. AI drafts, structures or classifies; people approve where quality, risk or responsibility matters.
What tools can this work with?
Typical inputs include email, spreadsheets, Teams, Slack, CRM notes, reports, shared documents and exports from existing systems.
How do you measure effect?
The sprint defines simple measurement points such as time saved, fewer follow-ups, fewer errors, faster decisions and actual use by the team.
Send the workflow behind this need.
Describe the recurring work, the tools it touches and what goes wrong. SiteDokAI will reply with a practical next step.