AI for agencies

Take on more clients without more headcount.

We automate the parts of agency life nobody wants to do - reporting, content ops, and client comms - so your team ships work and proves ROI, not busywork.

Get your Agencies blueprint ↳ 30-min audit · zero obligation

The outcome

15+ hrs

back per account manager, every single week

↳ The Account Multiplier

[ 000 ]Trusted by operators

[ 01 ]The status quo

What this costs you today.

Agency growth is capped by the same thing every time: output scales with headcount, so more clients means more hires, thinner margins, and more people doing repetitive production. The work that should be automated - variants, reporting, repurposing - is the work eating your team's nights.

Every new client means more production hours, so growth means hiring, and margins get squeezed exactly when you scale.

Brand voice lives in your best people's hands; junior output drifts off-voice and burns senior time on rewrites.

Client reporting is a weekly tax - 3-4 hours per client pulling screenshots from Meta, Google, and GA4 into a deck nobody reads carefully.

Generic AI tools produce generic content in a generic voice, so anything they generate has to be reworked before a client would ever approve it.

[ 02 ]What we build for Agencies

The systems, named and shipped.

Agencies live or die on output per head and on staying on-voice for many clients at once. That's exactly what a tuned, per-client agent stack solves: isolated pipelines that each speak one client's voice, so you multiply output without multiplying staff - and without the homogenized slop generic tools produce.

★ Flagship · built for Agencies

Per-Client Brand-Voice Production Engine

An isolated content and creative pipeline tuned to each client's voice, guidelines, and past winners - so the agency can 10x output without a proportional jump in headcount. Each client gets their own grounded pipeline rather than one generic model, which means the work comes out on-brand the first time instead of needing a senior rewrite to sound right.

GTM / Sales

New-Business Signal Agent

Watches for hiring, funding, leadership, and ad-activity signals that mean a brand is about to need an agency, and surfaces warm targets with the context to open a relevant conversation.

Pitch & Proposal Generator

Turns a brief or discovery call into a polished, on-brand pitch deck and scope - pulling your relevant case studies and pricing logic - so the team responds to opportunities in hours instead of days.

Content / Marketing

Brief-to-Multichannel Content Engine

Takes one brief and produces platform-native variants - long-form, social, email, ad copy - each in the specific client's voice, so a single idea ships everywhere without a writer rebuilding it per channel.

Ad-Creative Variation & Testing Pipeline

Generates structured creative variants - hooks, angles, formats - and wires them to your testing workflow so you're feeding the algorithm fresh creative continuously instead of in occasional batches.

Repurposing / Atomization Pipeline

Atomizes a podcast, webinar, or long-form asset into dozens of clips, posts, and snippets in each client's voice - turning one production into a month of distribution.

GEO/AEO Visibility System

Structures client content to be cited by AI answer engines and optimizes for the questions buyers now ask ChatGPT and Perplexity - a new visibility surface most of your clients' competitors are ignoring.

Internal Ops

White-Label Client Reporting Agent

Pulls Meta, Google, TikTok, and GA4 data into branded, per-client reports with written insight - turning a 3-4 hour weekly task per client into roughly 20-30 minutes of review.

Agency Brain

A RAG brain over your briefs, brand guidelines, and past campaigns so anyone on the team can instantly pull the right voice, the prior winner, or the client's do-not-do list without hunting through Drive.

Capacity & Margin Reporting Agent

Connects time, project, and deliverable data to show real capacity and per-client margin in plain language, flagging the accounts quietly bleeding hours before they wreck profitability.

[ 03 ]How we build it

Engineered, owned, operated.

Step 01

Map your workflow

We trace how your team actually works - the inputs, the decisions, the systems - before writing a line. The system of work is the moat, and we engineer it deliberately, not generically.

Step 02

Build & ship to your repo

We build the agents and the grounded data layer, wire them into your tools, and ship the code into your repository - not a no-code platform you can never leave.

Step 03

Ground, guardrail, review

Every system answers from your verified data, is gated by guardrails and human review on the decisions that matter, and is backed by evals before you trust it in production.

Step 04

Host, operate, evolve

We deploy on real infrastructure (Railway, Vercel, Cloudflare), operate it in production, and tune it every month as the models move. Built once, yours forever.

[ 04 ]By the numbers

~60 hrs/wk

Production time recoverable for a 10-person team through delivery automation (2026)

~2.3x

Faster growth for agencies automating 40-60% of delivery vs. peers

18-22%

Higher margins reported by agencies running automated delivery pipelines

↳ Industry benchmarks, not Anfloy client metrics - we report your real numbers once you're live.

[ 05 ]The offer

The Account Multiplier

An automation layer across delivery and client ops that lets each account manager carry more clients at the same quality bar - and capture the efficiency as margin, not commoditization.

Get your Agencies blueprint

+Automated client reporting + ROI dashboards

+Content + creative production pipelines, idea to review

+Client comms + status updates drafted from your project data

+A grounded brand brain per client, in their voice

+White-labelable and yours - runs on your or your client's infra

[ 06 ]Why Anfloy

Versus what you'd do instead.

· What matters

· In-house or off-the-shelf

· Anfloy

Time to value

Months to hire + ramp a team, or a SaaS tool that stops at 60%

Shipped in weeks - the full system, not a fraction

The AI

Generic and identical for every customer

Engineered to your workflow, your data, your edge

Ownership

Rented - it lives in their UI, on their terms

In your repo. Built once, yours forever

Where it runs

Their cloud, or your infra as your problem to run

Your infra - deployed and operated by us

Maintenance

Another full-time hire, or you wait on their roadmap

We tune it monthly as the frontier moves

Cost shape

Salaries, or a per-seat tax that scales with usage

A fixed build - an asset on your books, not a tax

Time to value

In-house / off-the-shelfMonths to hire + ramp a team, or a SaaS tool that stops at 60%

AnfloyShipped in weeks - the full system, not a fraction

The AI

In-house / off-the-shelfGeneric and identical for every customer

AnfloyEngineered to your workflow, your data, your edge

Ownership

In-house / off-the-shelfRented - it lives in their UI, on their terms

AnfloyIn your repo. Built once, yours forever

Where it runs

In-house / off-the-shelfTheir cloud, or your infra as your problem to run

AnfloyYour infra - deployed and operated by us

Maintenance

In-house / off-the-shelfAnother full-time hire, or you wait on their roadmap

AnfloyWe tune it monthly as the frontier moves

Cost shape

In-house / off-the-shelfSalaries, or a per-seat tax that scales with usage

AnfloyA fixed build - an asset on your books, not a tax

[ 07 ]Where it plugs in

Wired into your stack.

Meta AdsGoogle AdsTikTokGA4HubSpotAirtableNotionFigmaSlackCanva

[ 08 ]Questions

The honest answers.

Q01

Do we own these pipelines, or are we locked into Anfloy?

You own them. We build into your repository and hand over the source, the per-client configurations, and the documentation, hosted on your own infrastructure. There's no Anfloy platform between you and your clients and no per-client license that taxes your growth. As you add clients, you spin up new pipelines on a system you control rather than paying us a toll on every account.

Q02

How do you keep each client's voice separate and on-brand?

Each client gets an isolated pipeline grounded in their own guidelines, approved work, and do-not-do list - not one shared model serving everyone. That separation is the whole design: a beauty brand's pipeline and a B2B SaaS pipeline produce completely different voices because they're grounded in completely different material. We seed each one from the client's best existing work, so it sounds right the first time and your seniors are editing, not rewriting from scratch.

Q03

What if a pipeline breaks or starts producing off-brand work?

Nothing ships to a client without a human approving it, so an off day costs you a review pass, never a client relationship. Because the pipelines are code you own rather than a no-code black box, drift is diagnosable and fixable - and we stay on through a stabilization window after launch. We also build guardrails per client, so a pipeline flags low-confidence output for review instead of pushing it through.

Q04

How fast can we have one running?

We start with one client and one workflow - usually reporting or a content pipeline, where the time drain is most obvious - and aim to have it live in a few weeks. Once the pattern is proven on that first client, standing up the next one is mostly configuration, so output scales across your roster quickly. You see the hours come back on a real account before we expand.

Q05

Does this run on our infrastructure?

Yes - we deploy on infrastructure you control, typically Railway, Vercel, or Cloudflare, wired to your own ad accounts, analytics, and asset stores. Your clients' data and brand assets stay in your environment, not inside a SaaS you can't audit. You hold the hosting and the keys, which matters when you're the custodian of multiple brands' accounts.

Q06

Will clients be able to tell the work is AI-assisted?

Not if it's built right, because the goal isn't volume - it's on-voice volume. Each pipeline is grounded in the client's own approved work and every output passes through your team's review, so what ships reads like your agency's craft, not generic AI text. The automation removes the repetitive production drag so your people spend their time on strategy, taste, and the judgment calls that are the reason the client hired you.

[ 09 ]Other industries we build for

Growth-Stage TechGrowth-Stage TechWe engineer the AI layer around your product - support, onboarding, and renewal signals running in the background so your team stays on the roadmap, not in the queue.Info Businesses & CoachingInfo Businesses & CoachingWe engineer the engine behind your offer - applicant screening, student support, and a coach grounded in your own methodology - so you enroll the right people and deliver the outcome at scale, without becoming the bottleneck.Recruiting & SourcingRecruiting & SourcingWe engineer the sourcing engine under your desk - search, enrichment, outreach, and screening running around the clock so recruiters close and build relationships, not scroll profiles.

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