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AI Consulting / Agencies

AI Consulting for Agencies

AI consulting for Canadian marketing, creative, and consulting agencies: production automation, client-deliverable workflows, and margin-protecting AI adoption.

Where AI actually helps agencies

Four focused use cases. We will help you pick the one with the highest ROI for your firm and start there.

Content production at scale

AI-assisted briefs, drafts, and variations with brand-voice guardrails, designed so editors review faster, not write less carefully.

Client reporting automation

Automated multi-channel reporting (Google Ads, Meta, GA4, CRM) with AI-generated insight summaries clients actually read.

Research and competitive analysis

AI-aided research workflows for pitches, audits, and strategy decks, with sourcing rigor your senior team will sign off on.

Creative workflows

AI in image, video, and copy production: where it actually saves time, where it does not, and how to price the new economics.

Compliance & professional considerations

Every engagement includes client data handling design (which client data goes where), brand-voice and IP guardrails, attribution and disclosure norms, and PIPEDA alignment for any work on Canadian end-customer data.

How a typical engagement runs

Four phases, fixed scope, named owner

Phase 1

Discovery

Service-line audit (creative, performance, content, strategy), current AI usage, margin pressure points.

Phase 2

Vendor selection

Shortlist tools by service line (Jasper, Copy.ai, Midjourney, Runway, custom GPTs). Scripted demos on real client work.

Phase 3

Workflow design

Production workflows redesigned for AI-assisted work, with editor and reviewer roles defined, time tracking adjusted.

Phase 4

Adoption

Team training by role (writer, designer, account, ops), 60-day quality and margin review.

Frequently Asked Questions

How do we protect client data when using AI?

Client data handling is explicit in the workflow design. Sensitive client data (briefs, strategy, customer lists, PII) routes to private or contractually-restricted models, never public free-tier endpoints. Public-tier AI is reserved for generic research and exploration.

What about IP and attribution?

Every engagement includes an internal AI use policy covering what gets disclosed to clients, who owns AI-generated work, attribution norms, and edits required before delivery. We help you adapt your MSA and SOW templates if needed.

Will this kill our hourly billing model?

Probably, eventually, for the work AI handles well. We help agencies redesign pricing toward value-based or productized offerings for AI-affected services while keeping hourly for true craft and senior judgement. This is a real change-management problem, not a tooling problem.

How do you handle creative quality?

AI does not replace creative judgement; it accelerates production around it. Every engagement designs reviewer / editor roles into the workflow and measures quality (not just throughput) for the first 60 days. If quality drops, we adjust the workflow, not just train people harder.

Can you work with smaller agencies?

Yes. Boutique agencies (under 20 people) usually run a focused engagement ($10K-$20K). 20-100 person agencies often run a multi-service-line rollout ($20K-$50K). Holding companies and large agencies get the full enterprise treatment.

Thinking about AI consulting for your agencies firm?

Book a 30-minute discovery call. We will tell you honestly whether a consulting engagement is the right next step or whether something smaller fits better.