The shape of SaaS AI work in 2026
Three years ago "AI feature" meant a chatbot in the bottom-right corner. Now it means a deeply-integrated agent that reads your customer's data, takes actions inside the product, and is trusted enough that you'd put it on a paid tier. Most engineering teams have the skills to build this — they just don't have the bandwidth, the eval discipline, or the architectural opinions to do it without re-scaffolding the whole thing.
The hard part isn't "can we use Claude". It's "how do we ship this without breaking our release cadence, our SOC 2, or our team's nerves".
Where we plug in
- In-product AI features. Copilots, intelligent search, summarisation, smart suggestions inside your existing app. We build them inside your codebase — no third-party widget, no separate dashboard your customers have to learn.
- Tier-1 support agent. Claude-powered, RAG'd over your help center + internal docs + product data. Confidence-scored and auto-escalates when unsure. Like what we shipped for Operator.io — 71% auto-resolution, CSAT up.
- Internal AI ops. The unglamorous wins. Eng productivity, on-call summarisation, AI-drafted release notes, customer-success briefings before each call.
- Onboarding & doc agents. An AI that meets every new customer where they are — proactively explains, books office hours, flags risk-of-churn signals.
- Eval + observability. The piece no one talks about but everyone needs. We ship a production-grade eval suite, LLM observability with Langfuse, and a regression-detection workflow you can hand to your QA team.
How we work with software teams
Usually one of three engagements:
- 30-day sprint — one workflow, end-to-end, fully shipped. Same as our playbook describes.
- Embed-with-your-team — a senior AI engineer sits in your standups for a fixed quarter and ships features alongside your team. Knowledge transfers as it goes.
- Audit + handoff — half-day deep-dive on your AI roadmap, written recommendations, an opinionated 90-day plan. You take it from there.
Who this is for
- B2B SaaS companies at $1M–$50M ARR with an engineering team
- Vertical SaaS founders who want to launch AI features without hiring an AI eng
- Dev-tools / developer-platform companies adding agentic capabilities
- Companies who've tried "AI strategy" decks and want the opposite
If you're shipping a software product and want production AI in it without slowing the team down, book a 30-minute audit. We'll read your changelog and your help center beforehand — the call is about decisions, not discovery.