Plan Your Workflow

What this stage involves

Planning is the foundation of every successful automation. Before any workflow is built, we take the time to understand the business process as it actually operates today. That means mapping who is involved, what triggers the work, what decisions must be made, where data currently lives, and what the successful outcome looks like. A clear plan prevents wasted effort, reduces the risk of missed requirements, and ensures the final workflow solves a real operational problem rather than simply replicating a broken process faster.

During this stage we treat the workflow as a system: inputs arrive from people, forms, emails, messages, or other systems; the workflow applies logic such as validation, routing, approvals, and transformations; and outputs are delivered to the right destination, whether that is a CRM record, a spreadsheet row, a notification, a document, or another integrated service. Understanding the shape of this system before building makes the rest of the project faster, cheaper, and easier to maintain.

The planning stage also identifies constraints and edge cases early. What happens if data is missing? Who should be notified if an approval is delayed? Which rules are hard requirements and which are flexible? Answering these questions now means fewer surprises during testing and a workflow that remains reliable under real-world conditions.

Why this stage matters

• A well-planned workflow is faster to build because every decision has already been validated with the business.
• Clear requirements reduce the number of changes needed after launch, saving time and budget.
• Mapping the current process often reveals hidden inefficiencies that the workflow can eliminate.
• Identifying edge cases early prevents failures and manual workarounds once the automation is live.
• Success criteria give both sides a shared definition of what "done" looks like.

What you receive

• A written workflow plan describing objectives, scope, triggers, logic, integrations, and success criteria.
• A data map showing sources, fields, transformations, and destinations.
• A list of connected services with required permissions and account details.
• A definition of roles and responsibilities, including who owns, reviews, and approves the workflow.
• A risk and edge-case register covering missing data, delays, errors, and exceptions.

Key questions we answer

• What problem are we solving, and for whom?
• What event starts the workflow, and how often does it happen?
• Which systems already contain the data we need?
• What decisions must be made automatically, and what still needs a human?
• What should happen when something goes wrong or data is incomplete?
• How will we know the workflow is successful after launch?

Typical examples

• Lead capture workflow: a website form submission triggers validation, enrichment, scoring, CRM record creation, and manager notification.
• Invoice approval workflow: a generated invoice is routed to the correct approver based on amount and department, with reminders and escalation rules.
• Customer onboarding workflow: a new sale triggers a sequence of tasks, welcome messages, document requests, and internal checklist updates.

Practical tips

• Start with one clear process rather than trying to automate everything at once.
• Involve the people who do the work today; they know the exceptions and shortcuts that documentation misses.
• Write success criteria in numbers whenever possible, such as "reduce response time from 4 hours to 15 minutes".
• Separate "must have" requirements from "nice to have" so the first version can launch quickly.
• Assume data will be incomplete or late sometimes; design for exceptions from the beginning.