In a recent Jukebox Podcast interview, Nathan Wrigley spoke with Rahul Bansal, founder and CEO of rtCamp, about how the agency has evolved and why it’s now committed to using AI across the business.
rtCamp’s origins and evolution
Rahul founded rtCamp more than a decade ago from a technical blog and media background. Early success came from building scalable WordPress sites for high-traffic blogs, which naturally led to custom WordPress development for publishers and enterprise clients. That initial focus—“we only sell what we use”—helped the company become a trusted partner for large organisations.
Key lessons for agency founders
Rahul shared practical advice for anyone starting or scaling an agency today:
– Hire a complementary team: Early hires should cover your weaknesses rather than mirror you. Rahul credits much of rtCamp’s early success to teaming people with complementary skills—engineering paired with sales and polished communication. This approach remains vital, even in an AI-driven world.
– Pick a narrow niche, then widen: Where rtCamp once differentiated itself simply by specialising in WordPress, Rahul argues that new agencies must choose niches within niches—e.g., WooCommerce, payment integrations, migration for subscription platforms—so they become recognised experts instead of competing on price.
– Find clients who value your expertise: Look for customers who need what you uniquely offer (and don’t already know the space). They’re less likely to commoditise your services and will value your guidance.
Why rtCamp went “AI everywhere”
The turning point came when Rahul and the team realised two things: they needed a repeatable, scalable operating model, and AI had matured enough to dramatically reduce routine work. A few years earlier rtCamp invested in consolidating operations on an open-source ERP (Frappe/ERPNext) to manage accounting, payroll, CRM, project management and more in a single system of record. That consolidation proved crucial—when AI arrived, rtCamp already had clean, centralised data that AI tools could leverage.
With that foundation, rtCamp adopted a clear principle: if a business task can be done by AI, it should be. That applies not just to product features but to core operations: lead qualification, proposal generation, proof-of-concept builds, project estimation, meeting notes, QA checks, and many presales activities have been automated or augmented.
Practical impacts and examples
– Faster, more persuasive proposals: Instead of static slides, rtCamp uses AI to build working demo sites or “playgrounds” that clients can interact with before buying. This shortens sales cycles and increases win rates.
– Reduced cost of sale and delivery: Automating lead scoring, discovery and routine migration tasks has lowered pre-sales effort and the time required for delivery. Rahul estimates that build time and related costs could fall by a large percentage (he believes maturity could drive reductions in the 50–70% range over time), making projects more affordable and expanding the market.
– Shift in staffing and roles: Routine junior roles—like manual lead triage—have been reduced or eliminated. rtCamp has slowed hiring for traditional engineering positions and is expanding roles in sales, marketing, and “growth engineers”—technical people who lead presales conversations, design feasible solutions and prompt AI effectively. The emphasis moves from coding by hand to owning outcomes and orchestrating AI-powered solutions.
Philosophy: apply AI, don’t try to reinvent it
Rahul stresses that agencies don’t need to build foundational AI models; they should be great consumers and applicators of AI. The opportunity lies in using AI to solve existing, sometimes “boring,” problems much more cheaply and reliably—migration, data mapping, visual testing, and repeatable transformations. Making those commonplace projects faster and cheaper will bring many clients off the fence and grow demand.
Risks, change management and company culture
Transitioning to AI-first operations creates challenges. Some traditional roles shrink; the company must manage the shift carefully to avoid layoffs where possible. rtCamp’s approach has been transparent communication, reskilling, and inviting the team to contribute ideas for optimisation. Rahul expects headcount growth to skew toward consultants, sales, and growth-focused engineers rather than large additions of traditional developers.
Why open source and WordPress matter
Rahul believes open source and WordPress are well positioned for this moment. WordPress exposes structured data without proprietary walls, making migrations and integrations straightforward for AI-assisted automation. Having first-party data in a unified system amplifies AI’s usefulness, and open-source tooling avoids vendor lock-in and SaaS constraints.
Final thoughts
The conversation is optimistic but pragmatic: use AI to reduce operational cost, speed delivery, and increase accessibility. Start with repeatable work, build unified systems of record, hire complementary talent, and specialise narrowly. For rtCamp, the strategy is not to replace humans wholesale but to elevate the kind of value humans provide—consultation, imagination, and problem framing—while letting AI handle routine, time-consuming tasks.
Where to find Rahul
Rahul is active on social platforms and prefers email for contact. For more detail, Nathan linked to Rahul’s WordCamp Asia talk and related rtCamp posts in the episode show notes on wptavern.com/podcast.