We never appear in client deliverables, invoices, or communications. The agency’s brand stays in front. Always.
Founder-led AI build partner for digital agencies. We design and ship custom AI workflows under the agency’s brand — agents, automations, plugins, and SaaS MVPs — across the US, UK, EU, and Australia.
Founder
Founder-led · India + remote team
“Every initial call is with me — not a sales team. The discovery is the engagement.”
Partners
White Label AI Agency is a founder-led AI build partner for digital, marketing, SEO, web, PPC, and branding agencies. We design and ship the AI work agencies sell to their clients — under the agency’s brand, with the agency owning the relationship.
The agency you’re reading this on doesn’t appear in client meetings, deliverables, or invoices. By design. We’ve spent the last four years operating behind the scenes for digital agencies — building the AI work they sell to their clients, without ever competing for the relationship.
This is not vendor work. It’s not freelance. It’s long-term operational partnership with a specific shape — we build, you sell, your client never sees us.
The pattern repeats. An agency grows. Adds clients. Adds tools. Adds people. The delivery system that worked at 5 clients starts to fracture at 15. Margins compress. The team burns out on coordination instead of strategy. The founder gets pulled back into delivery to keep clients happy.
We exist to rebuild that delivery system — with AI workflows inside the agency’s existing tools — so the next 15 clients don’t break what the last 5 built.
The breaking point
scale → friction
5 clients
Smooth
System works. Everything runs smoothly.
15 clients
Bites
Coordination overhead starts to bite.
25 clients
System fractures. Margins compress. Team burns out.
↳ We rebuild the system before it breaks at 25, with AI workflows inside the tools you already run.
Hands-on delivery experience across 150+ digital agencies — from boutique 5-person shops to mature 50-person operations. Six areas where we’ve built repeated muscle.
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Across white-label, advisory, and execution capacities — boutique to mature operations.
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Builds delivered under partner brands. We never appear in the deliverable.
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Delivery systems rebuilt for agencies scaling past the breaking point.
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Marketing, SEO, content, and operations teams given repeatable execution patterns.
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Long-term maintainability prioritised over short-term wins. Less rework downstream.
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Voice AI personas and chatbots designed for regulated EU markets from the start.
↳ Our experience comes from being inside real delivery environments — not from theory, templates, or conference talks.
White Label AI Agency is founded and led by Darshan Daggali. His background is in execution and operations — building delivery systems for digital agencies that scale without falling apart.
A decade working alongside agency founders, delivery leads, and technical specialists on one recurring problem: how to scale an agency without losing control of delivery, margins, or quality.
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↳ White Label AI Agency remains founder-led — because clarity, accountability, and long-term thinking are difficult to scale through a sales team alone.
Every engagement starts with a strategy audit, moves through a design phase you approve before any code ships, and lands in production inside your brand.
Every workflow has a named owner on our side and yours. No bystander mode. You always know who to message when something needs a decision.
We don’t blur into the agency’s team. We’re a build partner. Your team owns the client, the brand, and the relationship. We own the build.
Reviews at design approval, build completion, and production deployment. Three gates, no surprises. You sign off at each.
Async-first, on your tools and timezones. Slack, ClickUp, Google Workspace — whatever you run. We come into your system, not the other way around.
↳ Agencies shouldn’t have to manage the complexity they outsourced in the first place. Our role is to make delivery feel calm, predictable, and controlled.
Five principles that shape how we work, who we partner with, and what we turn down.
We turn down work we can’t deliver well. The agency model only works if every shipped build is one we’d reference publicly.
A workflow that breaks at scale isn’t a workflow. We design for the 100th run, not the demo.
We design for the second year of partnership, not the first month. That sometimes means saying no to the easy build in favor of the right one.
We tell partners when something isn’t working before they have to ask. No marketing-speak in status updates. No surprise scope creep.
We never appear in client deliverables, invoices, or communications. The agency’s brand stays in front. Always.
Every engagement starts with a strategy audit, moves through a design phase you approve before any code ships, and lands in production inside your brand.
We don’t work with end clients directly. Every engagement is through an agency partner. No exceptions.
We don’t compete for our partners’ clients. Our model only works if theirs does. Conflict of interest isn’t a risk we manage — it’s one we structurally avoid.
We never take ownership of the client relationship, the IP, or the brand. After delivery, you own the asset entirely.
We’re optimising for partner outcomes, not contract count. Each quarter we onboard a selected group of new agencies whose ambitions we can match with delivery quality — then scale our team behind the work, not ahead of it. Quality over quantity is the position; capacity grows as the partnerships do.
AI integration for a digital agency is the embedding of AI workflows, automations, and agents inside the agency’s existing marketing, sales, and operations stack. Done well, it eliminates repetitive execution, multiplies output, and recovers margin lost to manual coordination — without replacing the tools the team already uses.
Most agencies see their first production AI workflow live within 2 to 4 weeks. The 1-week audit identifies the highest-ROI opportunity; the build and integration typically takes another 1 to 3 weeks depending on workflow scope and existing tool stack. More sophisticated workflows layer in progressively over the following months.
No. We handle every technical layer — integration, testing, training, and ongoing optimization. Your team only needs to understand its current workflows. The AI integrations are designed to feel native inside the tools your staff already uses, with no new platform to learn.
We are tech-stack agnostic. We integrate AI into HubSpot, ClickUp, Monday, Google Workspace, Slack, Notion, Airtable, custom CRMs, and bespoke internal tools. We do not require a rip-and-replace migration, and we do not push our own SaaS platform.
A 30-minute call is the only way to know. We’ll talk about your delivery system, the work you’re trying to ship for clients, and whether the partnership shape fits. If it’s not a fit, we’ll say so on the call.
Darshan Dagli — founder. First call is always with me.
↳ No pitch deck · No platform demo · An honest “not a fit” if it isn’t.