AI training plus custom LinkedIn content agent for an accounting firm

Role-specific training combined with a deploy-ready agent that writes posts in the partners' voice.

An Amsterdam-based accounting and advisory firm serving Dutch SME clients. Anonymous here. LinkedIn is one of the highest-value channels. That is where Dutch SME decision-makers spend time during the working day.

Problem

Most accountants do not post on LinkedIn. The ones who do post inconsistently. The ideas are not missing. Partners have strong, specific, client-tested opinions. The writing, formatting, and publishing work sits on top of a full-time job, and content is the first thing cut whenever the week gets busy. The firm wanted practical AI training grounded in their actual daily work, plus a structural fix for the LinkedIn problem so the firm could post consistently without partners carving out hours each week.

How the industry typically approaches this

Generic AI awareness sessions do not drive adoption. Role-specific, task-specific training does. Sprad measured this cleanly: a 600-person German manufacturer moved from 9% to 58% weekly usage after a 6-week role-based program. The content automation side: generate the calendar, draft each post in brand voice, queue for human review, publish on approval.

Our approach

Two-part deliverable. Training session (2h) built around the workflows an accounting firm uses every week, interactive, with a chatbot the team could talk to during the session to try ideas in real time. Goal: first-hand experience of delegating a specific task to AI, evaluating the output, and iterating. Custom LinkedIn content marketing agent: generates a content calendar, drafts posts in the partners' voice, schedules against the optimal posting rhythm, publishes directly to LinkedIn after human review.

• •Training session delivered
• •Custom LinkedIn agent built, deployed, and handed over
• •Firm posting consistently without partner hours

What the industry has achieved with similar solutions

External benchmarks from comparable deployments. Sourced and labelled as third-party evidence, not our own results.

• 600-person German manufacturer via Sprad

  Role-based 6-week AI enablement. Weekly usage 9% → 58%. Confidence 2.1 → 3.9 / 5. Sprad

• 150-person SaaS company via Sprad

  Weekly adoption 18% → 72%. Call summary time 12 → 7 min. Sprad

• Global technology firm via Hyperspace

  +40% completion, +25% satisfaction, -15% time-to-proficiency. Hyperspace