AI strategy → production

AI that runs in production, not in a slide deck

Most "AI strategy" stalls at the pilot. We design, build, and launch AI systems that live inside your real workflows: agents that take action, copilots your team trusts, and automations that quietly remove hours of manual work every week.

Macro photograph of a circuit board
Outcomes

What you actually get from this

Hours of repetitive work removed every week, measurably

Faster response and turnaround on the work that drives revenue

Decisions backed by your own data, retrieved and cited

A system your team understands and can operate, not a black box

What we build

Capabilities

AI agents & copilots

Task-completing agents and in-app copilots that draft, summarize, route, and act, grounded in your data with guardrails and human review where it matters.

Workflow automation

End-to-end automations across your stack (CRM, email, docs, ticketing) that replace the copy-paste glue work between tools.

RAG & knowledge systems

Retrieval over your documents, tickets, and product data so answers are accurate, current, and cite their sources.

Conversational AI

Website chat, support deflection, lead qualification, and voice, trained on your business and connected to your systems.

LLM pipelines & evals

Production prompt pipelines with evaluation, fallback, caching, and cost controls so quality and spend stay predictable.

Governance & guardrails

Access controls, audit trails, PII handling, and human-in-the-loop checkpoints built in from day one.

What lands in your hands

Deliverables

  • A working AI system deployed to your environment
  • Evaluation harness + quality benchmarks you can re-run
  • Documentation and a runbook your team can operate from
  • Cost and usage dashboards with sensible limits
  • A roadmap for the next iterations, prioritized by impact
How we build it

Representative stack

We pick the right tool for the job, not a fixed menu. These are the technologies we most often reach for on this work.

OpenAIAnthropic ClaudeVercel AI SDKLangGraphpgvectorNext.jsPythonUpstash
Questions

Frequently asked

Will the AI make things up?
We ground responses in your data with retrieval and citations, add evaluation and guardrails, and keep a human in the loop wherever accuracy is critical. You see the failure modes before launch, not after.
Can it connect to the tools we already use?
Yes. We integrate with your CRM, helpdesk, email, calendars, databases, and internal APIs. If it has an API or a webhook, we can wire it in.
How do we control cost?
Every system ships with usage dashboards, caching, model routing, and hard limits. We pick the right model per task instead of defaulting to the most expensive one.
Do we own what you build?
Completely. You own the code, the prompts, the infrastructure, and the accounts. No lock-in to us.
Keep exploring

Other things we do

By industry

AI Systems for your industry

The fundamentals are the same; the details aren’t. See how AI Systems applies to the work you actually do.

Have an AI Systems project in mind?

Book a free consultation. We’ll tell you honestly how we’d approach it, scope, timeline, and whether we’re the right team.