The AI OS
A Practical Framework for Embedding AI Across Your Agency
The AI OS provides a structured approach for embedding AI into your core workflows, aligning your team’s capability and giving you a measurable way to track impact.
What It Helps You Do:
The AI OS provides a foundation for consistent, repeatable and measurable AI usage. It helps teams reduce time spent on manual work, improve content quality, speed up reporting, streamline client communication and strengthen operational efficiency across the agency.
By optimising tools you already use and giving teams a shared baseline of capability, you remove friction and create a more scalable business model.
The 5 Framework Pillars
Audit + Assessment
This phase gives a clear view of how your agency currently works. We review delivery workflows, creative processes, paid media, reporting and client communication. Through team interviews and operational analysis, we identify:
Bottlenecks that slow teams down
Repetitive tasks ideal for AI automation
Underused tools
Inconsistent processes or quality
Workflows where AI will deliver the fastest ROI
Foundation + Onboarding
Teams are trained to use AI effectively in a practical, role-relevant way. Instead of ad hoc usage, they gain a shared understanding of how LLMs work, how to prompt properly, how to analyse and improve AI outputs, and how to use multimodal and data-led AI in their day-to-day work.
This ensures every team member — regardless of role or experience — reaches the same level of capability and confidence.
Workflow Integration
This is where performance gains become real. We redesign three workflows from end to end, embedding AI steps, creating updated processes and building SOPs and prompt libraries that standardise output across the team.
The workflows are then implemented inside your existing tools and systems, supported by team training so everyone understands how to run them consistently.
These aren’t theoretical ideas — they become part of your operational rhythm from day one.
The AI Expert Role
An internal team member is trained to own AI adoption long term. They learn how to maintain SOPs, improve prompts, train new hires, assess new automation opportunities and run internal optimisation cycles.
This ensures your agency doesn’t rely on external consultants to continue evolving. You build your own capability, in-house.
Measurement + Iteration
The AI OS includes a clear measurement system that tracks time saved, cost avoided and output improvements across each workflow.
Dashboards, baselines and benchmarks make it simple to see what’s working and where to improve next. You also receive a six-month maturity roadmap that outlines the next workflows to tackle, ensuring AI continues delivering value across the agency.
What the AI OS Delivers in Practice
Paid Ads Reporting (Team of 9)
Before:
Reporting involved manually pulling metrics, writing insights from scratch and formatting presentation decks. This took around 20 hours per month.
After:
AI drafts performance summaries, generates insight prompts and builds slides from a template. Reporting now takes 12 hours per month — saving 8 hours (£400).
Creative Variations & Production (Team of 8–10)
Before:
Designers manually created variations, resized assets and repeated similar production tasks — around 30 hours per month
After:
AI generates first-draft variations, supports concept exploration and automates resizing. Production now takes 18 hours per month — saving 12 hours (£540).
Weekly Client Updates (AM Team of 8–10)
Before:
Account managers manually collected wins, summarised updates and formatted messages — around 17 hours per month.
After:
AI drafts updates using your templates and KPIs, leaving only refinement and approval. Updates now take 8.5 hours per month — saving 8.5 hours (£340).
Combined Impact
Across these three workflows alone: £1,280/month saved.
Efficiency continues to grow as more workflows are added.
The AI OS gives your agency a scalable system for embedding AI — one that improves quality, saves time and unlocks capacity across your team.