AI Agent for Consulting Firms: Research, Engagements, and Proposals

A consulting firm bills time and sells judgment. What doesn't get billed, sector research, administrative engagement tracking, sales proposal prep, still eats up a good chunk of a consultant's week. An autonomous AI agent can take on these tasks that run continuously in the background, between two billable engagements, without waiting for a senior consultant to find the time.

The Problem

The French consulting market is going through a rough patch. According to the annual study by Syntec Conseil, the sector's professional federation, strategy and management consulting activity was essentially flat in 2024, with zero growth, and forecasts for 2025 point at best to stable overall activity, with a possible decline between -2% and +1% depending on the segment (source). Recruitment consulting is the hardest-hit segment, with a projected -10% contraction in 2025, against a backdrop of hiring freezes at client organizations. In this context of stagnant growth, every hour of consultant time that goes into an administrative task rather than a billable engagement or a sales proposal carries more weight than usual.

The lifeblood of a firm is its utilization rate: the share of a consultant's time actually billed to a client. Industry benchmarks compiled by Harvest, a time-management software vendor, put the target between 70% and 85%, with a global average measured at 67.7% in 2023 (source). The gap is clear by seniority: junior consultants, staffed continuously on engagements, often run between 65% and 75%, while seniors, tied up in business development and management, sometimes drop to 60%. This is an international benchmark for the consulting sector, not a measure specific to French firms, but the order of magnitude gives a clear sense of the stakes: over a working week, a significant share of a senior consultant's time goes somewhere other than a billed engagement.

Third point of friction: the sales proposal. Data compiled by Loopio, a vendor specializing in RFP management, puts the average proposal win rate around 45% in 2025, up from 43% in 2024 (source). Drafting a solid proposal takes time, from gathering references from similar engagements to final formatting, and that time is by definition never billed until the client has signed. This is a US and UK figure rather than a French one, best read as an order of magnitude for the consulting market broadly rather than a local measurement, but the logic holds everywhere: every hour saved on preparing a proposal is an hour that can go back into an engagement or business development.

What the Agent Does, Step by Step

Sector and Competitive Research

The agent continuously monitors sources relevant to each tracked account: trade press, industry reports, published RFPs, moves at clients and competitors. Rather than a weekly press review prepared by hand, every consultant gets a signal as soon as an event concerns an account or sector they follow. The data operations automation page details this pattern of continuously monitoring multiple sources, rather than batch processing once a week.

Engagement, Time, and Billing Tracking

On every active engagement, the agent centralizes meeting notes, interim deliverables, and declared progress in Notion. It tracks time consumed against the sold budget and flags a gap before it becomes a margin issue at the end of the engagement rather than an actionable signal along the way. This pattern of continuous reconciliation, rather than a monthly checkpoint, is the same principle described on the financial reporting automation page.

Staffing and Sales Proposals

When a new engagement or RFP comes in, the agent gathers in HubSpot what's needed to build a proposal: references from comparable engagements, declared profile availability, already-approved pricing elements. It produces a first version of the proposal from internal templates and the client brief, and cross-references the staffing plan with availability to spot an assignment conflict before it blocks an engagement's start. The revenue operations automation page covers this same pipeline-tracking and sales-prep work, applied here to a consulting firm's sales cycle.

The Integrations Involved

Research relies on Exa, a search engine built for an agent's use rather than for a human typing one query at a time. Engagement tracking rests on Notion for knowledge produced during the engagement, and on Google Drive for deliverables and their successive versions. On the sales side, HubSpot serves as CRM and proposal history, while Airtable acts as a staffing table for cross-referencing assignments and availability. Slack carries alerts that need to be seen quickly: a time overrun, a staffing conflict, an RFP deadline. Each connection stays independent: a firm can start with just the research scenario, before adding engagement tracking or sales prep.

What Stays With the Human

The agent absorbs continuous monitoring and preparation, not the professional judgment that makes up a firm's value. This is a deliberate human-in-the-loop setup: the agent runs on its own for gathering information and drafting a first version of documents, but stops as soon as a decision commits the firm to a client. Concretely, consultants stay responsible for three things. They approve and personalize every sales proposal before it's sent, especially the pricing and the contractual commitment; the agent signs nothing on their behalf. They settle sensitive staffing calls, particularly when two engagements are competing for the same senior profile. And they stay the sole decision-makers on the strategic content delivered to the client; recommendations and the engagement angle aren't delegated to an agent, however well informed it is.

Measurable Result

The first benefit is research that no longer depends on how much time a senior consultant manages to squeeze in between two engagements. In a market where activity is stagnant according to Syntec Conseil, spotting a signal at a client or a competitor ahead of the competition matters more than usual right now (source). Second result, more directly tied to margin: continuous time tracking that surfaces a budget gap during the engagement rather than at final billing, when it's too late to adjust. Third benefit: sales proposals prepared faster, with the right references already gathered, leaving consultants time to polish the pricing and the argument rather than the formatting.

Setup cost follows the same logic as any Atako agent, detailed on the pricing page: billed per active agent slot, with no cost tied to the number of consultants using it. To scope a first deployment without getting lost in options, the article deploying an AI agent in a small business in 7 days offers a concrete framework, adaptable to a firm that wants to start with a single scenario before expanding to the others.