AI agents for consultancies

A small consultancy sells time and judgment. A principal or partner wins the work, sets the fee and signs the statement of work. An engagement manager runs the plan, the budget and the weekly client update. Consultants and analysts interview client staff, dig through data and write the findings. An operations admin turns approved time into invoices.

The paperwork around the advice is what piles up. RFPs get read too late or not at all. The SOW after a discovery call waits for an evening the partner does not have. Friday status reports are written from memory. Utilization and not-to-exceed caps get checked at invoice time, when it is too late to talk to the client, and past deliverables sit in client folders that only their author can find.

The agent handles the reading, tracking and first drafts so partners spend their time on the client.

• Reads new RFPs and RFQs, including SAM.gov notices, and writes a one-page go/no-go brief with deadlines and required forms for the partner.
• Drafts a statement of work on the firm's template from discovery call notes, and a proposal from approved past sections and bios.
• Runs a conflict check against past and current clients before a new engagement and lists anything a partner should look at.
• Builds each client's weekly status report from time entries and tasks for the engagement manager to edit.
• Watches each consultant's utilization and each engagement's budget or cap every Monday.
• Prepares month-end invoice drafts from approved time, rewriting internal notes and stopping at the cap.
• Turns stakeholder interview notes into a synthesis memo on a local model, so frank, unattributed notes stay inside the firm.

The advice itself stays with the consultants: recommendations to clients, fee setting, bid and conflict decisions, scope conversations and anything that states a legal or regulatory requirement. The agent drafts and a partner approves every proposal, SOW, status report and invoice before it reaches a client, and an analyst checks every theme and quote in a synthesis. Client confidentiality and NDAs decide where data may go, so client material only enters tools the engagement terms allow, and when in doubt a local model or no AI at all. Deliverables a client owns stay out of any reuse library. Case studies are drafted only with the client's written permission and approved word for word. Firms with government contracts keep timekeeping records under their own written policy, and the agent only flags gaps for a person to fix.