AI assistants
AI enquiry triage setup services
AI enquiry triage services configure systems that read, categorise and route incoming enquiries. A careful service analyses your past enquiries to define categories, agrees a routing table with your teams, connects triage to the inboxes, helpdesk or CRM you already use, sets cautious confidence thresholds so uncertain cases reach a person, tests accuracy against how your staff sorted past messages, flags any routing that could amount to a significant automated decision about someone, and sets up a review routine. These are the things to ask about when comparing providers.
This page covers stages, responsibilities, evidence to ask for, warning signs and ongoing review. LetGetGrow builds customer-facing chatbots and internal AI assistants, with the scope, data sources, cost and timeline set out in a custom quotation.
Illustrative diagram
- Analysis
- Routing
- Integration
- Testing
- Review
How a triage engagement runs
Enquiry analysis
Past messages grouped and defined.
Output: Category definitions
Routing design
Agreed with each receiving team.
Output: Routing table
Integration
Inbox, helpdesk or CRM connected.
Output: Test setup
Accuracy testing
Past enquiries replayed.
Output: Accuracy report
Go-live and review
Thresholds, samples, feedback.
Output: Review routine
Analysis of past enquiries
The provider should study a representative set of past enquiries, with personal details minimised where possible, to propose categories with definitions and examples. Ask to see and adjust the definitions before configuration; they decide how messages will be sorted.
Who does what
| Task | Usually |
|---|---|
| Export of past enquiries | Client |
| Category proposal | Provider |
| Approving categories and routing | Client teams |
| Integration and configuration | Provider |
| Flagging misroutes after launch | Client staff |
Warning signs
Generic categories without your data
Routing may not match how you work.
No confidence threshold
Uncertain messages are guessed, not checked.
Accuracy quoted as one number
Weak categories hide behind strong ones.
No mention of automated decisions
Legal safeguards may be overlooked.
Accuracy by category
Ask for accuracy to be reported for each category, comparing triage with how staff sorted the same messages. A single overall figure can hide that complaints, say, are often missed. Pay most attention to categories where errors matter most, such as urgent support or complaints.
Example: comparing two triage proposals
Illustrative example — not a client case study
Situation: A recruitment agency wants to triage candidate, client and supplier emails.
- One provider proposes categories from a sample of the agency's emails, with definitions.
- It flags that rejecting candidates automatically would be a significant decision and keeps that with recruiters.
- It reports accuracy per category from a test on past emails.
What this shows: The agency could see where triage was reliable and where people stayed in control. This example is illustrative.
What you should receive
Design
- Category definitions with examples
- Routing table
Evidence
- Accuracy per category
- Threshold settings explained
Governance
- Note on automated decision safeguards
- Weekly review routine
Automated decision safeguards
The provider should identify whether any triage outcome could be a solely automated decision with a legal or similarly significant effect on someone. ICO draft guidance describes safeguards such as human intervention and the ability to contest, with review that can change the outcome. Where this applies, keep a person in the decision or take advice.
Fitting your tools
Triage should route into the inboxes, helpdesk queues or CRM pipelines your teams already use, with the original message and extracted details attached. Ask for a demonstration in your tools before launch.
Data protection
Ask where messages are processed and stored, and what suppliers do with them. ICO guidance says AI use usually requires a data protection impact assessment.
Routing agreed with each team
Each receiving team should agree what it wants routed to it, what counts as urgent and what details it needs attached. The provider should capture this in a routing table that everyone signs off. Disagreements about who owns a category are best settled before go-live, not by the triage system.
Confidence thresholds
Ask how the provider sets the confidence level below which enquiries go to a person, and how it will adjust that after launch. A cautious start, with more enquiries reviewed by people, is safer, and the threshold can be loosened as accuracy is proven for each category.
Review after launch
Ask for a simple way for staff to flag misrouted enquiries, a weekly sample review and a monthly report of accuracy by category. Categories and definitions should be adjusted as patterns emerge, and the provider should explain who makes those changes.
What the contract should cover
Scope of channels and categories, testing and acceptance criteria, data processing terms, support, how changes to categories are handled and how you can export configuration if you change provider.
Briefing the service
Share where enquiries arrive, rough monthly volumes, how teams split the work today and examples of messages that are often misrouted.
Questions about AI enquiry triage setup services
What does a triage service include?
Enquiry analysis, routing design, integration, testing and review.
How are categories set?
From your past enquiries, with definitions you approve.
What accuracy evidence should we ask for?
Accuracy per category compared with staff sorting.
What happens to uncertain enquiries?
They should go to a person via a confidence threshold.
Does triage raise legal issues?
Significant automated decisions need safeguards; the provider should flag them.
Will it work with our helpdesk?
Ask for a demonstration in your own tools.
Sources referenced
Platform features, guidance and rules change. We check the current versions before committing to an approach. This page is general information, not legal advice.
- Information Commissioner's Office: What are the ADM safeguards? (opens in a new tab) — reviewed 2026-10-30
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