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AI TRAINING

AI for Small Consultancies and Agencies

Use AI to accelerate proposals, research, and client deliverables without sacrificing quality or your firm's voice.

Format
workshop
Duration
6–14h
Level
literacy
Group size
4–16
Price / participant
€350–€900
Group price
€3K–€9K
Audience
Founders, principals, and senior staff at small consulting firms, design agencies, and creative shops with 1–50 people
Prerequisites
Comfortable using everyday SaaS tools; no coding or prior AI experience required

What it covers

This workshop equips small consulting and agency teams with practical AI workflows for the tasks that consume the most billable time: proposal drafting, client research, deck generation, and competitive analysis. Participants learn to apply AI tools selectively and critically, maintaining the quality and originality clients pay for. The programme addresses the real tension between efficiency gains and the risk of producing generic, low-value work. Sessions combine live tool walkthroughs with hands-on exercises using participants' own briefs and project types.

What you'll be able to do

  • Draft a complete client proposal outline using AI prompts calibrated to your firm's methodology and voice
  • Build a repeatable research workflow that compresses a half-day literature review into under an hour
  • Generate a first-draft slide deck from a brief and apply a structured quality-check process before client delivery
  • Identify which parts of your billable workflow benefit from AI augmentation and which require human judgement
  • Apply a simple IP and data-hygiene checklist when using AI tools with client-sensitive information

Topics covered

  • AI-assisted proposal and pitch drafting that retains your firm's tone
  • Accelerating desk research and competitive landscape summaries
  • Generating and iterating presentation decks with AI tools
  • Client discovery and briefing preparation using AI
  • Prompt engineering for professional services contexts
  • Quality control: spotting and correcting AI-generated mediocrity
  • Tool selection: matching the right AI tool to each workflow
  • Ethical and IP considerations when using client data with AI

Delivery

Typically delivered as a one-day in-person or live-virtual workshop (6–7 hours) or split across two half-day sessions. A lighter on-demand version exists as a self-guided 4-hour course. Approximately 60% of time is hands-on exercises using participants' own project materials. Facilitator provides a shared prompt library and workflow template pack. No installation required beyond browser access to common AI tools.

What makes it work

  • Start with one high-volume, lower-stakes task (e.g. research summaries) before rolling AI into client-facing deliverables
  • Build a shared internal prompt library that encodes your firm's tone, methodology, and quality standards
  • Establish a human review checkpoint for every AI-assisted output before it reaches a client
  • Revisit and refine workflows after 30 days once the team has real usage data

Common mistakes

  • Using AI to generate entire deliverables without editing, producing generic outputs that erode client trust
  • Applying the same prompt strategy across every task instead of building workflow-specific prompt templates
  • Ignoring confidentiality risk by pasting sensitive client data into public AI tools without checking terms of service
  • Measuring success only by time saved rather than by whether output quality and client satisfaction hold up

When NOT to take this

If the firm is primarily seeking deep technical customisation — such as fine-tuning a private model on proprietary datasets or building bespoke AI integrations — this workshop is the wrong fit; they need a practitioner-level engineering programme instead.

Providers to consider

Sources

This training is part of a Data & AI catalog built for leaders serious about execution. Take the free diagnostic to see which trainings your team needs.