A safer lead-intake workflow.
A useful lead-intake automation receives an enquiry, validates the input, checks for duplicates and routes a clear record to the right person. AI may help summarize or draft, but sensitive decisions and outbound commitments need an agreed review point. Define failures, permissions and a manual fallback before connecting production tools.
Draw the boundary first.
This is a design example for scoping a future integration. It is not a claim that Brista currently runs this workflow for a client. Brista’s present website prepares a visitor-reviewed email; it has no public endpoint that automatically sends enquiries.
Write down the systems that would receive the information, the fields each one needs and the person responsible for the record. Do not send full enquiry text to every connected tool simply because an integration makes it easy. Use the minimum access needed for the agreed task.
A reviewable flow.
- Receive the enquiry through an agreed, protected channel.
- Validate required fields, length limits and permitted inputs.
- Create an idempotent record so a retry does not create a second lead.
- Apply clear routing rules; use AI only for the part that needs it.
- Show the owner the source record, summary and proposed response.
- Require approval before sending a commitment or sharing information onward.
- Record delivery or failure separately from a prepared draft.
Plan the exceptions.
| Exception | Intended behaviour |
|---|---|
| Duplicate delivery | Reuse or flag the existing record instead of creating another |
| Missing permission | Stop the action and show an actionable owner alert |
| Tool unavailable | Use bounded retries, then a manual queue |
| Unclear AI output | Ask for human review; do not treat confidence as approval |
| Unexpected attachment | Keep it outside the workflow until handling is agreed |
Learn from the planner.
The Brista Launch Planner is a smaller, inspectable example of useful rules. A visitor’s goals suggest services, but the visitor can change the selection. The resulting brief includes deliverables and a roadmap; no live AI provider or automatic outbound message is involved.
This distinction matters when choosing a stack. A deterministic rule is easier to test when the decision is already known. Add AI assistance where uncertain language or content needs interpretation, then preserve a way to verify the result against the original input.
Inspect the Launch Planner case studyAgree the success measure.
Measure completion of the actual task: a valid record routed, an approved response sent or an exception recovered. Track the time window and sample size before claiming a saving. A draft prepared and an email delivered are separate events.
Before implementation, bring a sample process, your current tools, the common exceptions and the approvals your team requires. Use fictional or redacted examples when they are enough to explain the workflow. Brista can then scope integrations, testing, documentation and running costs.
Explore AI workflow automationPut it into practice.
Bring your priorities into the free Launch Planner, then discuss the scope that fits your business.
Make a first brief