Four ways we transform a business with AI.
Every engagement starts with the same question — where is human time being wasted on work AI can do reliably? Then we pick one of four shapes.
Custom AI Platforms
End-to-end AI products for industries with regulatory and accuracy bars no off-the-shelf tool clears.
The problem we solve
Off-the-shelf AI tools cap out when your domain has regulatory complexity, audit requirements, or accuracy bars that vendor models can't clear. You need a system that's accountable to your evidence, not their hallucinations.
How we approach it
- Map every decision point against the evidence and citations the business already trusts
- Build the system as a multi-agent pipeline so each phase is independently auditable
- Wire the agents into the operational stack your team actually uses — not a separate dashboard
- Ship in production with the customer-facing billing, auth, and audit logs they need from day one
Typical tech we reach for
- Multi-agent frameworks (Google ADK, AutoGen)
- Hybrid retrieval (vector + BM25)
- Per-criterion LLM analysis with citation
- Full SaaS stack (Clerk auth, Stripe billing, Prisma)
- Cloud IaC (Terraform / Vercel / Azure)
Where you've seen it
Conversational AI
Multilingual assistants and chatbots that handle real customer load on the channels your users actually use.
The problem we solve
Your customers live in WhatsApp, Instagram DMs, or live chat — not your dashboard. Your team handles the same 30 questions every day. Off-the-shelf chatbots fail on the channels and languages your users actually use.
How we approach it
- Mine real transcripts to find the highest-volume intents — not the ones a vendor template assumes
- Build for the channel your users already pick up (WhatsApp Business, in-app messenger, Slack)
- Handle multilingual code-switching natively where the audience demands it
- Hand off to a human with full context the moment the assistant is out of its depth
Typical tech we reach for
- Google Gemini / OpenAI / Claude (channel-appropriate)
- WhatsApp Business API / Twilio / Slack
- Vector memory for in-conversation context
- Escalation routing with full transcript handoff
- Offline-aware sync where the network is unreliable
Where you've seen it
Personalisation Funnels
AI advisors and recommenders that turn flat product grids into guided buying journeys.
The problem we solve
Your storefront has the products. Your customer doesn't know which ones are for them. The result is a flat product grid that converts cold visitors at agency-anaemic rates.
How we approach it
- Design a quiz funnel that meets the customer at the question they actually have
- Build an LLM matching layer between customer signal and product catalogue
- Surface the reasoning — customers convert when they trust why the recommendation fits
- Embed in the existing storefront, not as a separate microsite
Typical tech we reach for
- Astro / React islands embedded in Shopify, WooCommerce, custom stacks
- OpenAI / Gemini for matching + reasoning copy
- Catalogue-aware retrieval
- A/B-testable funnel components
Where you've seen it
Multi-Modal Content
Production-grade brand imagery, social posts, and campaigns generated on-brand at agency-quitting cadence.
The problem we solve
Your brand needs a constant cadence of fresh imagery, social posts, and campaign assets. Agencies are slow and expensive. In-house production can't keep pace. The result is stock-feeling launches or delayed campaigns.
How we approach it
- Fine-tune image generation on your existing brand photography for on-brand outputs
- Build a brand-voice-conditioned copy pipeline using your existing style guide
- Route every asset through your brand team's approval queue — humans always own publish
- Land approved assets in your existing media library (Cloudinary, S3, Shopify)
Typical tech we reach for
- Stable Diffusion (brand-tuned)
- OpenAI / Claude for copy with brand voice priors
- Cloudinary / asset pipelines
- Approval queues with rejection-as-feedback into the prompt library
Where you've seen it
Not sure which fits?
Talk to the discovery agent. Three minutes, no calendar booking.