Booking Q3 2026 partner slots
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AI-assisted deliveries are client-facing builds — websites, custom plugins, applications, emergency rebuilds — produced with AI throughout the workflow but without AI being the user-facing product. Your client sees a finished deliverable. AI sits behind the production line, compressing 12-week timelines into 3–4 weeks and unlocking scope your delivery team couldn’t otherwise reach.
This isn’t “we use ChatGPT to write your copy.” That’s not a service category. That’s how everyone works now.
AI-assisted delivery is a structured production methodology where AI handles specific layers of the build — content generation against approved strategy, layout proposals from approved copy, code scaffolding within approved architecture, edge-case testing across approved scenarios — while humans own every judgement call. Brand voice, taste, architecture, code review, and client communication stay with people. AI absorbs the blank-page bottleneck at every stage where it was the limiting factor.
The output looks identical to a traditional build. The timeline doesn’t. A WordPress rebuild that traditionally takes 12–16 weeks ships in 4 weeks. A custom plugin that quotes at $20–40k and 8–12 weeks ships in under 2 weeks. The client doesn’t see the production methodology. They see a finished website that goes live faster than they expected.
For agencies running web design, dev, or branding service lines with backed-up queues, this is the category that unlocks more billable scope per quarter without hiring more developers.
01 / Build category
Multi-page WordPress builds with industry-specific landing pages, conversion paths, and post-launch self-service for the marketing team. Built on whatever theme framework your agency standardizes on. Page builder if your team uses one. Custom theme if not.
02 / Build category
Plugins with conditional logic, admin UIs, third-party integrations, and proper extensibility. Built right — escaped output, capability checks, nonces, sanitised input, translation-ready, follows WP coding standards.
03 / Build category
Site rebuilds with hard deadlines — compliance liabilities, M&A re-positioning, legal exposure, brand emergencies. Zero-downtime cutovers with URL redirect mapping, SEO preservation, and parallel compliance review.
04 / Build category
Multi-step conditional intake forms, qualification calculators, and pre-call discovery tools that route qualified leads into the CRM with structured data attached. Embedded calendar booking. Email-based deduplication.
05 / Build category
Web applications outside the WordPress ecosystem — Next.js or Svelte front-ends with API back-ends, internal tools, admin dashboards, anything that doesn’t fit the CMS model. Includes deployment, monitoring, and documentation.
Same architecture across every build in this category. AI absorbs four bottlenecks. Humans own four judgement layers.
| Production layer | Who owns it | What changes with AI |
|---|---|---|
| Strategy and brand | Human | Faster discovery via AI-assisted research, but final calls stay human |
| Information architecture | Human | AI proposes, human approves |
| Content (first draft) | AI | Hours instead of weeks of blank-page time |
| Content (voice tuning, edits) | Human | Hours of editing replace days of drafting |
| Design (layout proposals) | AI | First-pass layouts from approved copy |
| Design (taste, final composition) | Human | Designer reviews and refines |
| Code (scaffolding, components) | AI | Repetitive code generated, not hand-written |
| Code (architecture, review) | Human | Senior engineer reviews everything before commit |
The compression comes from collapsing the blank-page bottleneck at every layer where it was the limiting factor. A writer who spends 60% of their time on blank-page drafting and 40% on editing flips to 90% editing. A designer who spends 50% on initial layout exploration flips to 80% on refinement. A developer who spends 40% on boilerplate code flips to 90% on architecture and review.
Quality holds because every human-owned layer still gets the same attention it always did. The work that compresses is the work that was always lower-leverage.
The pattern fails when teams try to push AI into the human-owned layers — letting AI make brand voice calls, letting AI ship code without review, letting AI make architecture decisions. We don’t do that. The boundary is the entire reason the methodology works.
Build 01 · WordPress site
Nine landing pages live at launch (homepage + 4 industry verticals + 4 service pages). Marketing manager fully self-serving for new pages post-launch. Quarter of marketing salary recovered, plus three months of earlier paid-campaign launch revenue.
Build 02 · Custom plugin
WordPress plugin with conditional logic across 22 parameters, admin UI for rate management without code, live Go High Level integration pushing every lead with all 22 fields as custom contact properties. $30K traditional build cost avoided, ongoing lead generation.
Build 03 · Emergency rebuild
Complete brand repositioning from law firm to managed services organisation. Full content rewrite, AI-assisted design, custom WordPress, full URL redirect mapping. New site live before the legacy site retired. $60K+ in lost SEO and emergency-dev cost avoided.
Build 04 · Intake system
Custom WordPress plugin with 13 conditional slides, 7 industry-specific branches, 70+ structured fields, GHL contact upsert with email-based deduplication, embedded calendar. Sales team opens every discovery call with the full operational profile in the contact record.
The deliverable is yours. The agency’s brand on the live site. The agency’s name in the email footer. The agency’s invoice to the client. The agency’s developer handover after launch.
For your client communications, we work in the background. We never appear in the project channel, the meeting recording, or the email thread. Most of our active partners introduce us internally as “our development team” if they introduce us at all. The work shows up under your project manager, runs through your QA, and ships with your team’s name on it.
For documentation, runbooks, and post-launch self-service, everything is branded for the agency. Your client logs into a site managed by your agency, with documentation written by your agency, supported by your agency. We are not in any system they interact with.
If your client asks who built it, the answer is your agency.
AI-assisted delivery builds are delivered through our standard engagement: $1,500/month, including Discovery (month one), build capacity, deployment under your brand, source code handoff, and monthly strategy reviews.
| Build type | Time to launch |
|---|---|
| 5-page website rebuild | 2–3 weeks |
| 9–12 page website rebuild | 3–5 weeks |
| Custom WordPress plugin (single-flow) | 1–2 weeks |
| Custom WordPress plugin (multi-flow, integrations) | 3–5 weeks |
| Emergency rebuild with redirects | 1–2 weeks |
| Lead-gen intake system | 1–3 weeks |
| Custom web application | 4–12 weeks |
For agencies with a single defined deliverable and no interest in a longer partnership, we offer project-based pricing on this category specifically — quoted after scoping. Most agencies start with the monthly engagement so the build capacity continues into adjacent service categories.
Three situations where we’d recommend against an AI-assisted build:
01 · Sales-stage bottleneck
If your agency’s bottleneck is closing deals rather than shipping them, compressing production timelines doesn’t help. The work backs up earlier in the funnel. We’d recommend solving the upstream problem first — usually positioning, packaging, or sales process — before unlocking more production capacity.
02 · Specialist expertise
AI-assisted delivery works well for the patterns we’ve shipped many times — WordPress sites, custom plugins, lead-gen tools, standard web applications. It does not replace deep specialist expertise we don’t have. We don’t take builds requiring native iOS/Android development, complex 3D or computer-vision work, or deep regulatory engineering (FDA-class medical devices, FedRAMP-class government). When the right answer is a specialist firm, we say so.
03 · Client wants in
AI-assisted delivery compresses timelines because the production loop is tight and the decision-makers are few. If your client wants weekly working sessions with multiple stakeholders reviewing each iteration, the timeline savings disappear. Either reset the client expectation to “review at milestones” or use a traditional production pace.
When the methodology is followed correctly, yes — and often better, because compressed timelines force tighter scoping, which forces better information architecture and stronger writing. The quality risk isn’t AI in the production loop; it’s removing human review from the production loop. We don’t do that. Every layer that traditionally needed human judgement still gets it. The work that compresses is the layers that were lower-leverage anyway.
That’s your decision. We’re invisible by default — your client sees a finished site from your agency. If your agency wants to be transparent about AI-augmented production methodology, that’s a positive positioning move with most current clients. If you prefer to position it as “our team built it faster than traditional agencies,” that’s also accurate and equally valid. The methodology is not a secret you’re hiding; it’s a competitive advantage you can choose to communicate or not.
WordPress (custom themes, page builders like Beaver Builder/Elementor/Bricks if your agency uses them), Next.js, Svelte/SvelteKit, Astro, basic React applications. For back-end work: Node.js, Python (FastAPI). For databases: Postgres, MySQL, Supabase, Firebase. We don’t work in legacy frameworks (Drupal 7, old WordPress page builders that are unmaintained) unless we’re rebuilding off them. If your agency standardises on something specific, tell us in the scoping call.
Yes. If your agency has a design system, brand guidelines, theme framework, or component library, we work within it. If you don’t have one, we can build one as part of the engagement or use a sensible default. We prefer working within existing systems — it’s faster, more consistent across your client base, and reduces drift between builds.
Yours. Full code handoff at launch, in a Git repository your agency owns, with deployment instructions, environment variables documented, and the architecture explained in a README. If you have an in-house developer, they can take over maintenance immediately. If you keep us on the monthly engagement, ongoing maintenance is included for what we’ve built.
Within scope: yes — proper title tags, meta descriptions, schema markup, semantic HTML, sensible URL structure, sitemap generation, redirect mapping for migrations. Out of scope: ongoing content production, link building, backlink work, technical SEO audits unrelated to the build. For agencies with their own SEO team, the build hands off cleanly. For agencies that want ongoing SEO support, we’d partner with a specialist or build it as a separate engagement.
Same as any build — change orders, scope discussion, possible timeline impact. AI-assisted delivery doesn’t make scope changes free; it just makes the original scope ship faster. If the client makes substantial scope additions mid-build, we re-scope honestly and signal the impact. The compressed timeline doesn’t give us much room to absorb scope creep — it’s already running close to the production minimum.
No. Native iOS and Android development requires deep platform expertise that doesn’t fit our model. For web applications viewable on mobile (responsive web apps, PWAs), yes. For native apps with App Store and Play Store distribution, we’d point you to a specialist.
A 30-minute scoping call to look at the build, the timeline pressure, and whether AI-assisted production is the right answer.
Book a 30-minute scoping callA clear sense of whether the build fits this methodology.
Rough timeline and scope estimate if it does.
An honest read on which production layers we’d handle vs which stay with your team.
