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AI support desk for marketing and communication agencies

Agency clients write for the same things: where is the proof, the campaign stats, resend a file, shift a date. Each request interrupts a project manager mid-production. The agent answers the factual on its own and routes the rest with context.

In your day-to-day

A typical scenario

An agency with 60 active accounts where every project manager is interrupted some fifteen times a day for factual matters — a file, a date, a status — requiring zero creative judgement.

  1. 01

    At 7 PM a client asks for “the latest proof”: the agent identifies the internally approved version, resends it, and notes that the client’s V3 is not the team’s V4 — ambiguity cleared.

  2. 02

    A newcomer on the client side requests access to the reports: the authorisation procedure starts, with sign-off on your side before anything opens.

  3. 03

    “Can you do it like the March campaign?”: the agent retrieves that campaign, its formats and its results, and hands the project manager a request that is finally precise.

What changes

Project managers regain unbroken stretches of concentration, and clients get their factual answers the hour they ask them — often outside your working hours.

Order of magnitude

Working assumptions

  • around 600 factual requests per month (60 accounts × 10)
  • 8 minutes per request, interruption cost included

In the order of 80 project-manager hours per month — a full half-time position handed back to production.

Indicative estimate built on average sector assumptions — it gets recalibrated on your actual volumes during scoping.

What eats your days

How it works

  1. 1

    The agent learns your business

    It is fed your real sources: FAQ, documentation, ticket history, business rules. It only answers what it can source — no improvising.

  2. 2

    Autonomous resolution, fenced

    Recurring requests — tracking, invoices, procedures — are resolved end to end. Anything outside the fence goes to the human queue with a sourced draft reply already written.

  3. 3

    Supervision and continuous improvement

    Every conversation is reviewed by our engineers in the first weeks. The autonomous-resolution rate rises as the agent earns reliability — never the other way round.

Typical results

60%

of tickets resolved with no human involved, observed in production

3 min

first response, 24/7

×3

handling capacity for the same team

Orders of magnitude observed in production; your diagnostic sets your own baseline and targets.

Frequently asked questions

Our clients value their dedicated contact — will the agent frustrate them?+

The agent does not replace the contact; it absorbs the factual that kept interrupting them: statuses, files, dates. The client gets an answer in minutes, and their project manager is available again for the real conversations.

Can it answer about a running campaign’s performance?+

Yes, on the factual numbers pulled from the platforms — impressions, clicks, conversions. Interpretation and recommendations stay with your consultants: the agent gives the number, not the strategic opinion.

Is this the problem eating your team’s time?

Tell us how you work today — 30-minute call, then a free written diagnostic of what this agent would change for you, with numbers.

Get my free diagnostic

Free resource

Get the self-assessment grid for your sector

Sales, admin, support, operations: the 20 tasks AI agents already handle in SMEs — with, for each one, the tell-tale sign that your team is concerned.