Autonomous Tier-1 Support Assistant for Consulting Engagements

Professional services firms face high volumes of repetitive client questions that pull consultants out of billable work: invoice queries, delivery timelines, small scope clarifications, and access to deliverables. Inconsistent answers and slow responses create churn, increase support cost, and reduce client satisfaction.

Deploy a retrieval-augmented foundation model tied to the firm's ticketing system and document sources to triage, auto-draft, and escalate support work while keeping humans in the loop for approvals and complex cases.

• Ingest and index historical tickets, SOWs, invoices, delivery artifacts, CRM records and approved FAQ content into a vector store for RAG.
• Build triage and intent classification using a lightweight classification model to route tickets and assign confidence scores.
• Generate draft replies with cited evidence (SOW lines, invoice numbers, calendar links) and embed those into the agent UI so humans can edit and approve before sending.
• Human-in-the-loop escalation for low confidence or contractual ambiguity; maintain clear handoff rules to engagement leads for scope/fee discussions.
• Governance: logging, PII redaction, role-based access, periodic evaluation with annotated samples, and SLA dashboards for bias/performance checks.

Illustrative impact: teams typically see 40-70% faster time-to-first-response and 20-40% faster resolution on routine queries, with a 25-50% reduction in repetitive ticket volume. A firm at this stage can expect to recover roughly 10-25% of consultant time previously spent on support, reduce support cost-per-ticket by ~15-35%, and improve client satisfaction by several points (typical range +3-10 on common CSAT scales).