YC just called out AI-native agencies in their latest Requests for Startups.
Here’s the link: https://www.ycombinator.com/rfs#ai-powered-agencies
My take: YC didn’t create this category. They validated what’s already happening.
At BRCG, we’re ahead of this curve because we’ve been building toward it for a while. Not as a rebrand. As an operating model.
If you’ve been following what we’ve shipped recently, you’ve seen pieces of the shift in public:
- Why we moved from WordPress to Lovable.dev (faster iteration, less friction to publish): https://brcg.co/blog/why-we-moved-wordpress-to-lovable
- Vibe coding for CRM teams (building internal tools that make personalization real): https://brcg.co/blog/vibe-coding-for-crm-teams
Those weren’t content plays. They were workflow decisions.
And candidly: the last few months of pushing AI deeper into our process has been eye-opening. Not because it’s flashy. Because it compounds.
What “AI-native” actually means (in our world)
A lot of teams say “we use AI.” That can mean writing a subject line or generating a deck.
When we say AI-native, we mean the workflow changes so the team can:
- get to the truth faster
- make better decisions with less thrash
- ship reliably without lowering the quality bar
The goal is simple: tighter loops and more consistent outcomes.
What we’ve built (and what we’re building next)
1) Tracking systems that reduce time-to-answer
Lifecycle performance lives across too many places: ESP reporting, event data, web/app analytics, deliverability signals, creative, segments.
We’ve invested in our own tracking systems so we can answer the questions that actually drive outcomes:
- what moved this week (and why)
- what broke (and where)
- what’s worth prioritizing next
Less time digging. More time deciding.
2) Programmatic audits (so discovery is consistent)
Audits kill margin when they become open-ended exploration.
We’ve been building programmatic audits so discovery becomes a repeatable diagnostic:
- consistent inputs
- consistent checks
- clearer “so what”
- faster path from findings → plan
This is how you compress time-to-truth without turning quality into a hero effort.
3) A productized full-funnel delivery model
The operational win is not “faster drafts.” It’s fewer dead cycles across the full system.
We’ve been productizing the funnel end-to-end:
Sales → audits → onboarding → delivery → retention
That means clearer scoping, fewer handoff failures, and a delivery system that becomes more reliable each month.
4) Programmatic dashboards + data storytelling that influences roadmaps
Dashboards are easy to build and easy to ignore.
We’re working on programmatic dashboarding plus written data storytelling so the output isn’t “reporting,” it’s decision support:
- what to build next
- what to cut
- what to double down on
- where we need a deeper investigation
The goal is to influence roadmaps with evidence, not opinions.
5) Tool leverage, maximized (APIs, MCP, connected feeds)
Most teams underuse their tools because the last mile is annoying: connectors, formatting, inconsistent data, manual updates.
We’re focused on making tool leverage easier by connecting:
- APIs / MCP-style integrations
- content + performance data feeds
- internal workflows that turn “we could” into “it’s already done”
This is the unsexy work that creates speed and consistency.
6) AI-assisted QA as a system (not a scramble)
Speed only matters if reliability scales with it.
We’re using AI to pressure-test:
- requirements and edge cases early
- segmentation logic
- tracking hygiene
- basic QA checks and documentation
It doesn’t replace expertise. It makes it easier for expertise to show up where it matters.
Why this matters (business impact, not hype)
Most conversations about AI-native agencies get stuck at “faster execution.” That’s real, but it undersells the business impact.
If you run a services business, throughput and profitability are largely determined by one thing:
How fast you can move work through the full system, end to end, without quality dropping.
That’s what we’re building.
The bottom line
YC is right to name the category.
The agencies that win won’t be the ones with the coolest demos. They’ll be the ones with:
- strong operators and specialists
- systems that capture best practices
- feedback loops that tighten over time
We’re excited about what we’ve already built, and even more excited about what we can unlock next.
This year is going to be insane.
