Context, before the conversation.
The operating challenge
A growing SaaS business supports multiple product tiers through a shared queue. Agents repeatedly look up account details, search changing documentation, and transfer tickets before they can answer. The same setup questions consume attention while novel product issues wait.
A useful reply must be relevant to the customer’s account and supported by current product documentation. A fast but invented answer can create a new support problem. The workflow needs to distinguish routine informational requests from account, security, and billing actions.
A workflow with a clear next step
01 / Capture the ticket
Verify the help-desk event and persist a deduplicated job. Read the latest ticket state.
02 / Resolve permitted context
Match the authorized account and retrieve only information the current support role is allowed to see.
03 / Route by policy
Apply explicit incident, security, billing, and escalation rules. Use language classification for routine categories.
04 / Retrieve and draft
Search approved knowledge, retain article revisions, and prepare a draft with source references. Missing evidence produces an escalation.
05 / Review and reply
Show a support agent the draft and its evidence. Re-read the ticket before an approved reply to avoid conflicting updates.
06 / Learn from corrections
Log edits, reopen events, and knowledge gaps. Use them to improve documentation and evaluate the next workflow version.
Architecture & controls
Zendesk or an equivalent help desk → account API and tenant-scoped knowledge retrieval → workflow service → model-assisted drafting → an internal review view. Postgres stores job state and evaluation records, with client-specific access boundaries.
- No cross-account retrieval or exposure of access tokens.
- Security incidents, billing changes, promises, and account actions require an authorized reviewer.
- A draft must cite current approved sources; absent or stale evidence blocks automation.
- Customer-visible automation begins only for explicitly approved low-risk categories after evaluation.
When things do not go to plan
During an integration outage, the ticket remains in the normal help-desk queue with an internal status note. Duplicate delivery does not create duplicate replies. A reconciliation job identifies missed webhook events and stale jobs.
The automation boundary: The model helps prepare a response. Your support policy controls customer commitments and account actions.
Evaluation, before expansion
Use at least 100 representative historical tickets plus ambiguous questions, outdated articles, cross-account requests, and malicious instructions inside ticket text. Report routing recall by category and unsupported-claim rate. Start in draft-only mode with a named support owner.
| Measure | What we measure | Proposed criterion |
|---|---|---|
| Routing quality | Expert-labelled ticket set | Target: 95% correct routing, reviewed by class |
| Handling time | Eligible ticket categories only | Target: 25% below the baseline median |
| Service quality | Reopen rate and unsupported claims | Gate: no unacceptable regression |
Targets are agreed with the process owner after measuring representative current work. A pilot also records error rates, review effort, operating cost, and exceptions. Released staff capacity is not automatically a cash saving.
Rollout & handover
Move through offline evaluation, shadow mode, and operator-assisted work before considering a limited automatic path. Each phase has a named owner, stop conditions, and a manual fallback. The approved scope determines the delivery schedule.
What the engagement would deliver
- Help-desk and account integrations
- Approved knowledge retrieval and source citations
- Draft review and escalation workflow
- Ticket evaluation pack and quality dashboard
- Operator training and maintenance runbook
The final handover includes client-owned access, configuration or source, known limitations, evaluation cases, and recovery instructions. Third-party subscriptions and ongoing support are agreed separately.
Technical references
These sources inform design considerations. They do not validate a deployed Tern & Loom project or establish vendor partnership.
Zendesk: creating and monitoring webhooks ↗
OWASP: LLM application risks ↗
Research reviewed 20 October 2026.