Service 02 — AI & Automation
AI & Automation
LLM-integrated products and automation pipelines that replace the repetitive work your team shouldn't be doing — built on real infrastructure, not demo-ware.
The problem
Why this work matters
Most AI engagements stall between the impressive demo and production. Models are non-deterministic, evaluation is an afterthought, and pipelines collapse under real-world data, latency and cost. We build AI the way we build critical software — with hard interfaces, evaluated outputs, human-in-the-loop escapes and observability — so the system keeps working long after the wow wears off.
Deliverables
What's included
LLM Integration
OpenAI, Gemini and Claude wired into your product with structured outputs, caching and cost controls — not a chat window bolted onto your site.
Workflow Automation
Intelligent pipelines that replace repetitive work in support, operations, sales and reporting — with human approval steps where they matter.
AI Data Pipelines
Ingestion, cleaning and enrichment pipelines that keep models fed with fresh, governed data at scale.
Intelligent Agents
Autonomous agents that act across your tools with guardrails, audit trails and an escape hatch back to a human.
Retrieval & Knowledge Systems
RAG over your documents and databases with grounded, citable answers and indexes that stay up to date.
Evaluation & Guardrails
Eval suites, prompt monitoring and safety rails so you can measure quality and ship changes without silent regression.
Engagement model
How an engagement runs
Discovery & Feasibility
We scope the workflow, the data and the blast radius — and build a short proof with your real data before anything larger is committed.
Pilot in Production
A bounded pilot on real traffic, with accuracy, latency and cost targets agreed up front so "better" is measurable, not vibes.
Scale & Integrate
Full rollout across your tools and data sources, with monitoring, retries, fallbacks and human hand-offs built in.
Harden & Hand Off
Guardrails, documentation, runbooks and training so your team operates the system independently.
Typical engagement: 3–8 weeks from feasibility proof to production.
Technologies
Tools we build with
Get Started
Building something in this space?
Tell us what you're building — we'll tell you honestly whether we're the right team for it.
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