Process mapping
Define the trigger, required inputs, responsible owners, and the state that counts as complete.
Workflow automation connects the steps between your business systems so your team spends less time copying records, chasing updates and checking whether the next task happened. Advenno maps the process, builds the connections and keeps exceptions visible to the people responsible.
01 / From trigger to next step
Workflow automation is useful when the same event should lead to the same set of actions: a qualified enquiry creates a task, an approved request updates a record, or a signed engagement starts onboarding. First, we identify the source of truth and separate fixed rules from decisions that need a person.
The implementation can connect existing systems through their available interfaces, map the required fields, and record what happened. AI automation can support a defined step such as classifying or summarising information, when evaluation shows it is appropriate. Rules remain the simpler choice for predictable decisions.
Missing information pauses the workflow for review instead of disappearing into another inbox.
Define the trigger, required inputs, responsible owners, and the state that counts as complete.
Handle field mapping, duplicate events, retries, and the permissions needed by each connection.
Route missing data and failed actions to an owner, with enough context to recover safely.
02 / An example you can recognise
Your team captures a lead in the CRM, then copies it into a spreadsheet for an operations report. This illustrative workflow shows what an implementation brief could cover; the available connections and rules must be checked against your systems.
These field transfers can use fixed rules. AI is considered separately when a step needs to interpret unstructured information.
03 / A workflow you can own
Bring a sample of the current process, the systems involved, representative records with sensitive details removed, and someone who understands the exceptions. We confirm available access and integration limits before committing to the implementation.
Acceptance covers the ordinary path and agreed failure scenarios: a repeated trigger, an unavailable system, or incomplete intake. Handover should identify credentials, workflow ownership, logs, recovery steps, and which changes need engineering review. Monitoring and ongoing support are scoped explicitly.
See how this translates into client onboarding automation, or explore the interactive onboarding demonstration.
Discuss a workflowThat depends on their available APIs, permissions, data formats, and subscription limits. Share the systems involved so the proposed connections can be assessed before scope is agreed.
No. Fixed rules are often sufficient. AI is worth considering for a specific task involving unstructured information, provided its output can be evaluated and uncertain cases have a review path.
The main drivers are the number of systems, available integrations, field mapping, data cleanup and exception handling. Recurring costs can include automation-platform usage, hosting, AI model calls and support. A project estimate should distinguish these from the implementation fee.
Choose around the workflow rather than the tool name. Compare available connectors, approval steps, usage limits, hosting requirements and who will maintain it. An existing platform may cover the process; custom code becomes relevant when its limits prevent the required behaviour.
The required response is part of the design. Depending on the action, that may mean a controlled retry, a paused workflow, or a task for a named owner. Recovery should avoid creating duplicate records or sending repeated messages.
Where the systems provide suitable access, yes. First agree the source of truth, matching record IDs, field mapping and whether updates run one way or both ways. Conflicting values, repeated events and missing fields need explicit rules. Test those cases before enabling writes to live business records.
A useful estimate follows a process map and access check. A single documented workflow is easier to scope than several systems with unclear rules or incomplete data. Dependencies, testing, approval availability and rollout requirements should be included in the delivery plan.
Record the current task volume, active handling time, errors and waiting time before implementation. Compare the same measures after the workflow is stable, including time spent reviewing exceptions and running costs. Use the observed change to decide whether to expand.
Bring the process, the bottleneck, or the idea.
We’ll work out a useful first step together.