Professional Services

Client document collection

Teams repeatedly chase clients for documents without a shared requirement list, completeness status or exception path.

Business problem

Teams repeatedly chase clients for documents without a shared requirement list, completeness status or exception path.

What teams see

  • Work waits between create requirement list and send secure request.
  • Owners reconstruct status from Cloud storage and Gmail.

Why it happens

  • No shared state spans Cloud storage, Gmail, Jira.
  • Decision and exception rules are applied inconsistently.

Why it becomes expensive

  • Capacity is consumed by coordination and rework.
  • Late exceptions weaken visibility and service quality.

Business outcomes

  • Shorter reviewer approval cycle
  • Fewer handoff and missing-information exceptions
  • Clear ownership from create requirement list to reviewer approval
  • Inspectable decisions and recovery

Measurable KPIs

  • Turnaround time: Elapsed time from create requirement list to reviewer approval.
  • Manual intervention rate: Share of items needing a person outside defined review conditions.
  • Exception age: Time unresolved exceptions remain without a completed action.
  • Successful completion rate: Share of valid workflow items completing without terminal failure.

How the workflow works

  1. Create requirement list — Accept and identify the client document collection trigger. Cloud storage
  2. Send secure request — Execute send secure request with validated sample data and an auditable result. Cloud storage
  3. Receive documents — Execute receive documents with validated sample data and an auditable result. Gmail
  4. Match requirement — Execute match requirement with validated sample data and an auditable result. Jira
  5. Validate completeness — Execute validate completeness with validated sample data and an auditable result. Cloud storage
  6. Remind outstanding owner — Execute remind outstanding owner with validated sample data and an auditable result. Gmail
  7. Escalate exception — Execute escalate exception with validated sample data and an auditable result. Jira
  8. Reviewer approval — Execute reviewer approval with validated sample data and an auditable result. SEIDO Review Queue
  9. Audit and KPI update — Persist the execution outcome, audit facts and workflow measurement events. SEIDO execution store

Integrations and ownership

  • Cloud storage: Provide workflow input
  • Gmail: Lookup and update context
  • Jira: Receive controlled outcome

Human responsibility: Engagement manager

Failure and recovery

Cloud storage is temporarily unavailable.

Retry with capped exponential backoff; preserve the run and move it to the inspectable failure queue after the limit.

Required data for send secure request is malformed or missing.

Stop downstream actions and show the missing fields, source evidence and correction action to the named reviewer.

The trigger or provider event is delivered more than once.

Return the existing execution identified by the idempotency key and do not repeat downstream business actions.

The human decision expires before completion.

Escalate to the configured substitute, retain the original request and record both expiry and reassignment.

When not to build this

  • Monthly volume is too low to justify integrating Cloud storage, Gmail, Jira.
  • An existing configured platform already handles client document collection with adequate ownership and reporting.
  • Reliable source data or supported API access is unavailable.
  • No business owner has authority to define the decision and exception rules.

Related workflows