In most mid-to-large organisations, the hard part of an approval is not the decision itself — it is finding the right person, attaching the right documents, remembering the policy threshold, and proving later that the chain was followed. Purchase orders stall because an approver is travelling. Contract redlines bounce between legal and procurement with no single owner. Expense exceptions sit in a shared mailbox until someone notices the month-end clock.
Manual routing creates three compounding costs. First, cycle time: a request that should take hours consumes days because each hop depends on memory and goodwill. Second, inconsistency: two similar requests can take different paths depending on who submitted them and who was online. Third, audit risk: when regulators, internal audit, or a board committee ask for evidence, teams reconstruct history from email threads and screenshots.
Chat tools make this worse at scale. WhatsApp and Teams forwards feel fast for the requester, but they destroy structure — no SLA, no immutable log, no policy gate before the first human sees the packet. Spreadsheets of “pending approvals” become a second job for operations coordinators. The organisation pays in delayed vendor payments, missed hiring windows, and managers who approve under time pressure without full context.
AI does not replace the approver’s accountability. It removes the chaos around the decision: classifying the request type, checking completeness, surfacing policy and precedent, routing to the correct chain, and escalating when silence is the real blocker.