Approvals and escalation
Route a request to the appropriate approver, send agreed reminders and escalate overdue items without silently treating a timeout as approval.
ITZ / AI & AUTOMATION / DUBAI & UAE
Move work forward. Keep decisions accountable.
Connect repeatable business tasks across the tools your team already uses. We map triggers, approval rules and exceptions before configuring or building the workflow.
THE BUSINESS PROBLEM
A request arrives by email. Someone copies it into a tracker, chases approval and tells another team to begin. Each handover depends on remembering the next step. Automation can make that sequence explicit, provided the rules and ownership are stable.
WHAT WE CAN IMPLEMENT
Route a request to the appropriate approver, send agreed reminders and escalate overdue items without silently treating a timeout as approval.
Create or update supported records after the approved event. Agree which system owns each field and how conflicting updates are handled.
Generate renewal reminders, routine checklists and exception notifications with an accountable recipient.
Record outcomes, identify incomplete actions and provide a controlled replay path that avoids duplicate records.
EXPLAINED VISUALLY
TRY THE PROCESS
INTERACTIVE EXAMPLE · PRESET SAMPLE DATA
A salesperson marks a quotation ready for review. The workflow checks required details, obtains the authorised approval, creates a project task and notifies finance. If project creation fails, the request remains visible in an exception queue; it is not reported as completed.
Required details checked → approval requested → approved task created.
Request declined → no downstream task created → requester notified.
Approved request retained → failed action queued → owner alerted.
CHOOSE THE RIGHT APPROACH
Use a defined workflow when the next action follows known rules. Add AI only for a bounded task such as classifying an incoming request or extracting a draft summary. A deterministic rule is usually easier to verify when the conditions are already known.
DESIGN FOR EXCEPTIONS
WHAT YOU RECEIVE
The proposal specifies what will be configured, developed, documented and tested. Access to bespoke work, third-party platform ownership and administration rights are agreed before implementation.
Handover records the operating owner, support route and actions that remain manual. An attractive demonstration is not acceptance evidence for your business process.
IMPLEMENTATION APPROACH
Review representative inputs, users, systems and decisions. Identify work that should remain manual and dependencies that prevent a reliable pilot.
Agree scope, permissions, acceptance examples, operating costs and responsibilities. Use redacted or appropriate test information.
Check routine, missing-data, declined-action and failure scenarios. Compare the implemented behaviour with the written scope.
Agree activation, rollback and monitoring. Provide the documented administration path and a named owner for operational exceptions.
EVIDENCE BEFORE EXPANSION
Compare the same start and end events before and after the pilot.
Count interventions per completed case, including corrections.
Separate successful first runs from replayed or unresolved work.
Track waiting time without claiming automation controls human availability.
Agree the baseline, sample, start and end events before comparing results. Report failed cases and manual corrections alongside completed runs. These are proposed measures, not ITZ client performance claims.
DATA & RESPONSIBILITIES
Identify the business owner, information owner and administrator. Agree the accounts, permitted operations and information that may be sent to each provider. Test access with representative user roles rather than relying only on administrator results.
Data location, retention and deletion depend on the selected services and configuration. Confirm those requirements before choosing the architecture; a platform logo is not evidence of residency or compliance.
COMMERCIAL SCOPE
A pilot quote should state included volumes, assumptions and what happens if usage increases. No fixed saving, implementation duration or universal accuracy level is promised.
FIT & LIMITATIONS
Platform access, technical feasibility and delivery availability are confirmed during scoping. Broader migrations, data cleansing, custom applications and unsupported integrations are separately assessed.
AFTER ACTIVATION
Agree the alert destination and owner. Logging an error without anyone reviewing it is not an operating plan.
Changes to source fields, credentials, prompts, documents or APIs can affect outcomes. Review and test material changes before release.
Explain routine use, manual overrides and escalation. Document the tasks that remain the customer’s responsibility.
FREQUENTLY ASKED QUESTIONS
No. Rules, schedules and supported connectors may be sufficient. AI is considered only where a specific uncertain input requires interpretation and can be evaluated.
It can if retries are poorly designed. The scope should include idempotency or equivalent duplicate checks, a record of completed actions and a controlled replay procedure.
Often, after checking the workbook structure, access, concurrency and ownership. A database or supported application may be more suitable if several teams edit critical records.
START WITH ONE WORKFLOW
Bring the process. We will help clarify the next step.
We agree feasibility, scope and timing after reviewing your requirements. Implementation and ongoing support are quoted separately where applicable.
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