Triage, route, and resolve tier-1 tickets.
Classify priority, fetch the customer from your CRM, link related runbooks, draft a reply with cited sources, escalate to oncall when stuck. Every decision is logged per-tenant.
Use cases · 10 patterns
Agentic use cases in SaaS generally fall into a few recurring patterns: an agent takes multi-step action on behalf of a user — retrieves from multiple systems, reasons about what to do, calls APIs to make it happen, and hands back to a human when the stakes are high. Here are ten patterns we see most often.
Bucket 01
Where Tavora's wedge is sharpest: an agent inside your customer's product, scoped to their tenant, calling your APIs with their keys.
Classify priority, fetch the customer from your CRM, link related runbooks, draft a reply with cited sources, escalate to oncall when stuck. Every decision is logged per-tenant.
Reads the user's repo or workspace, asks clarifying questions, picks defaults that fit, calls your provisioning APIs — confirming before each write. The user stays in control; the busywork goes away.
A user asks a question in plain English; the agent reads the tenant's schema, writes the query, executes it through your APIs, and renders the answer inline. Shows the SQL so the data team can verify.
Bucket 02
Same agentic shape, internal users instead of customers. Approval flows and audit logs are why these are safe to ship.
Pulls the policy matrix, checks the customer's tier, runs the calculation. Approves under threshold; routes to a human over it. Every decision is logged per-tenant for audit.
Reads the request, checks policy, provisions through your IDP, with manager approval where required. Diagnoses common failures by reading the actual logs, not a wiki.
Resume screening against role criteria, interview scheduling against calendars, employee questions about benefits and policies cited from your handbook. The agent shows the source.
Bucket 03
Where code-as-reasoning is the differentiator. A function-calling loop can't compose a multi-step query in one turn — Tavora can.
Reads the tenant's event taxonomy, writes the query, executes it through your warehouse, renders the chart inline. Anomaly explanations rather than raw numbers; scheduled summaries with the why, not just the what.
Synthesizes an answer with citations, surfaces who knows what inside the org, and keeps documentation current as code or processes change. Multi-tenant means each customer sees only their corpus.
Bucket 04
The 'rest of SaaS' — the workflows where someone is already pasting between tabs. Agents are the obvious unlock.
Researches prospects across the web and internal systems, drafts personalized outreach, dedupes records, logs activity, runs pipeline analysis. Reps spend more time selling and less on data entry.
OCR the invoice, match to PO and receipt, route exceptions to a human. Contract review and forecasting that pulls from multiple ledgers. Every step is replayable for audit.
The common thread
Every pattern above is a workflow, not a question. Multiple systems read. Decisions made. Actions taken. Exceptions escalated. The shift from tool that returns information to tool that completes the workflow is what's actually new — and it's what Tavora is built to ship.
If a multi-step workflow lives inside your product, Tavora probably fits. Tell us about it.