AgencyOS

AOS is the agency in a box.

Most AI marketing tools sit on top of an agency and accelerate parts of it. AOS is the agency itself: Deloitte Digital's full marketing agency, with AI agents running every workflow and intelligence compounding with every engagement, so the work gets faster, cheaper, and smarter the longer it runs.

The problem AOS solves for

Marketing has a lot of repeatable work today done expensively and slowly by FTEs whose experience doesn't transfer. AOS turns it into agentic workflows that run cheaper, faster, and smarter the more they run.

How AOS solves for this

Three operational outcomes the CMO measures directly. AOS commits to all three and reports against them.

Time-to-market

Lower time-to-market

Cost-per-output

Lower cost-per-output

Throughput

Higher throughput

All three improve over time

The vision

Delivered today as Deloitte Digital's agency services. Built to become a licensable platform tomorrow.

Today

Deloitte Digital's marketing agency, operated by Deloitte practitioners.

Tomorrow

A licensable platform any marketing organization can run.

Who AOS is for

Buyer

The CMO. The commercial decision-maker who engages Deloitte.

Operator

The Worker. Today, a Deloitte practitioner operating AOS on the client's behalf.

02Architecture

How AOS is structured. What clients buy.

AOS is built on eight archetypes: buyer-facing engagement patterns that organize all marketing work by what the buyer asked for. Each archetype has one workflow, the end-to-end process that delivers the outcome. Tasks inside the workflow are performed by agents, AI workers that carry domain expertise and are reusable across archetypes. A Context Layer (B2B/B2C, Industry, Geography, Company Size) shapes how each workflow runs for a specific engagement. Two engine layers power everything underneath: the Operating Layer (machinery and orchestration) and the Intelligence Layer (the body of knowledge that compounds with every run).

Architecture view

Archetypes · one workflow each

Tasks10

Tasks9

Tasks10

Tasks9

See it in action

What clients buy

Clients buy archetype workflows. Each archetype has one workflow: the end-to-end process that delivers the outcome. An engagement bundles one or more archetype workflows. Pricing is per workflow, with output count used to set the price band. The buyer thinks in outcomes ("attract new customers via social creators"). AOS maps outcome to archetype to workflow to tasks. The architecture serves outcomes through archetypes and their workflows.

03Buyer's journey

From objective to learning loop. Seven beats.

The buyer's path through AOS. Hover or click any beat to read it in full.

1

Buyer's Objective

The buyer names the outcome: acquire new customers, optimize media spend, build a brand. AOS starts from what the buyer wants to achieve.

04Operator's journey

The Worker is the human at the boundary.

The Worker is the human at the boundary of every workflow. The Worker never sits inside the workflow. The engine (Operating Layer + Intelligence Layer) and the agents do the work. The Worker bounds them in across two phases of the engagement and a set of five roles.

Act 1

Phase 1. Configuration.

The Worker provides context. This is the longest single human activity in the engagement, and it happens once per client before any workflow runs.

The agents arrive pre-programmed; functional intelligence is built into them. Deloitte intelligence (industry research, benchmarks, first-party and licensed data) routes into the Intelligence Layer automatically. Neither is configured per client. The only thing built per client is client intelligence: brand, voice, audiences, products, history, competitive landscape, business rules. The Worker assembles it working alongside intake agents that interview, scrape public material, and structure brand documents into the format the Intelligence Layer can act on. The Worker reviews and approves what the intake agents produce; the Worker stays the source of truth.

The Worker also configures the workflows the client is buying: which workflows are on, what cadences they run, and who authorizes each one. When Phase 1 closes, AOS is ready to run.

Worker

The human

Assembles client intelligence (brand, voice, audiences, products, history, competitive landscape, business rules)
Works alongside intake agents that interview, scrape public material, and structure brand documents
Reviews and approves what intake agents produce; stays the source of truth
Configures workflows: which are on, what cadences, who authorizes each one

System

AOS

Agents arrive pre-programmed with functional intelligence
Deloitte intelligence routes into the Intelligence Layer automatically
Client intelligence populates as the Worker provides context
Workflows stage for the run phase

AOS is ready to run.

Act 2

Phase 2. Run.

Workflow type

Worker

Steps in at defined moments. Never sits inside the workflow.

Workflow executionEngine running

Agents execute. Operating Layer governs. Intelligence Layer informs.

Output, then loop or terminate

Loop path

Cadence workflows loop

Retention, media optimization. Learned intelligence feeds back. Next run is smarter.

Feeds back to Intelligence Layer

Terminate path

Project workflows terminate

Brand Building, Measurement & Analytics builds. Output delivered. Learned intelligence still feeds back for adjacent workflows.

Still feeds adjacent workflows

After output

Every workflow feeds intelligence back.

When a workflow completes, it produces an output. Learned intelligence feeds back into the Intelligence Layer, so the next workflow run is smarter. Every workflow is a loop.

Every workflow

Every workflow run makes AOS smarter for the next one.

Cadence workflows (Retention, Media Optimization, Performance Reporting) loop on a schedule. Project workflows (Brand Development, Measurement & Analytics builds) terminate when the deliverable is produced. Whether a workflow loops or terminates is a property of the workflow. In both cases, learned intelligence feeds back into the Intelligence Layer between runs or for adjacent workflows. The next run is smarter. The next engagement benefits. AOS compounds across the book.

Learned intelligence feeds back

The work getting faster, cheaper, smarter the longer AOS runs is emergent from Phase 2 running over time. The Worker does not trigger it; it is on by default.

Boundary

What the Worker does NOT do.

The Worker does not govern agents (Operating Layer does), evaluate agent output for quality (Operating Layer does), enforce brand rules (Agent Governance does), sit alongside agents, or interrupt workflows mid-task.

The Worker is a Deloitte practitioner. AOS runs as Deloitte Digital's marketing agency; the Worker is the practitioner operating it on the client's behalf.