AI agents for customer support teams in consulting firms

Client questions arrive in the engagement mailbox, in a sponsor's reply, and in a workshop chat, and nobody can say who owns which. A sponsor waits days for an answer a consultant assumed someone else had given.

→An agent reads the client mailboxes, logs each question against the engagement, finds the owner on the staffing sheet, and drafts the acknowledgement for the engagement lead to approve.

The weekly sponsor update is written from scratch every Friday afternoon, gathered from three tools and rewritten into whatever layout that client's PMO happens to want.

→An agent pulls the week's progress, risks and next steps into a draft in the client's own format, and the engagement lead edits and approves it.

The project stalls on client data. Files arrive partial, the right contact is unclear, and chasing the overdue items falls to a consultant who would rather be doing analysis.

→An agent tracks every item on the information request list, checks incoming files against the request, and drafts a reminder for the right client contact, held for approval.

After go-live the client's team keeps asking how things work, and answers live in a runbook nobody can find. Hypercare questions bounce between consultants and the response commitment is missed.

→An agent logs each hypercare question, finds the runbook answer, flags the response clock, and routes defects to delivery, leaving the reply for a consultant to approve.