AI consulting, implementation, and team enablement
On retainer or by project, Turbine meets your team where you are, builds the right systems for the work in front of you, and makes sure your people can run them without depending on us forever.
Who we are
The goal is not to make you dependent on outside experts. The goal is to help you adopt AI in a way that matches your operations, your data, and your team's actual comfort level.
We stay close enough to understand the details, build what matters, and then train your team to own it. For many companies, that starts with the Turbine AI Assistants platform: a faster path to governed AI support and internal copilots without the time, payroll, and tooling burden of building the equivalent capability from scratch.
We dig into your workflows, tools, and handoffs to find the real opportunities instead of the obvious ones.
You get a clear roadmap with priorities, owners, realistic sequencing, and practical timelines.
We build alongside your team, with no black-box handoff and no mystery architecture.
Your people learn how to use, govern, and improve the system in day-to-day work.
We keep refining prompts, retrieval, automations, and adoption as your business and the AI landscape change.
Why this matters
The breakthroughs that matter usually show up in release notes, open-source repos, research threads, and operator communities before they show up in polished marketing.
The value of a service partner is not just implementation. It is helping your AI strategy evolve with the landscape instead of falling behind it.
Not sure where to start or what is real versus hype? We run a full audit and give you a straight answer.
Bought tools nobody uses or pilots that stalled out? We figure out what went wrong and what to fix next.
Know what you need but do not have the team to deliver it? We build it with you and train your team to own it.
Already seeing results? We help you expand, optimize, and keep AI systems running smoothly as usage grows.
Meet you where you are
Some teams need a reality check. Some need a rescue plan. Some are ready to build now. We adapt to the entry point without changing accountability for the outcome.
Not sure where to start or what is real versus hype? We run a full audit and give you a straight answer.
Bought tools nobody uses or pilots that stalled out? We figure out what went wrong and what to fix next.
Know what you need but do not have the team to deliver it? We build it with you and train your team to own it.
Already seeing results? We help you expand, optimize, and keep AI systems running smoothly as usage grows.
What we do
The service line is intentionally broad because most teams do not need one isolated deliverable. They need the right mix of strategy, execution, and operational support.
Custom agents that handle real work across support, operations, reporting, compliance, and internal execution.
Deploy managed assistants faster and at far lower cost than standing up an internal AI/ML team, with prompts, guardrails, namespaces, monitoring, and continuous platform improvements included.
Connect your systems and remove repetitive work so teams spend less time chasing updates, approvals, and status.
Ground answers in approved documents, SOPs, and institutional knowledge with retrieval, citations, and access controls.
Figure out where AI actually fits, which use cases matter now, and what a practical roadmap looks like.
Train leaders and operators on prompting, governance, workflow design, and how to use AI productively every week.
Build or refresh fast websites and customer-facing experiences that incorporate AI search, support, and conversion flows.
Managed RAG chat app
Many teams know they need retrieval-augmented chat, but do not want to spend months designing the app shell, document ingestion, embeddings pipeline, permissions model, and monitoring layer around it.
Turbine provides a managed RAG chat application tailored to your workflows and content. We handle the infrastructure, retrieval setup, assistant behavior, and ongoing improvements so your team can start using a production-ready experience instead of funding a custom internal build.
Because we already operate the platform layer, we pass those time and cost savings back to you. You get the benefit of a custom managed experience without carrying the full engineering, maintenance, and retraining burden yourself.

A managed RAG chat app gives your team grounded answers, faster deployment, and lower total cost than building the entire stack internally.
Platform expertise
The platform choice matters, but adoption, governance, and workflow design matter more. We support both, including a base-node, embeddings-by-default approach that prepares content for retrieval from the start instead of treating knowledge grounding as an afterthought.
OpenAI workflows
Claude and hybrid stacks
Intercom and service channels
AI Services pricing
Use the audit to identify the right path, start with the self-service managed RAG app, or engage Turbine directly for engineering and advisory support.
AI Audit (~30 hours of due diligence).
Self-service managed RAG app.
Custom AI engineering or advisory.
How we work with you
Pick what fits now, or combine them. The model can start small and expand once there is a clear result worth building on.
Your embedded AI consultants for ongoing strategy, audits, training, and execution support.
Retainer plus project delivery for teams that need end-to-end implementation and handoff.
A one-off audit or build with defined scope, timeline, deliverables, and an optional ongoing cadence.

Turbine combines knowledge grounding, workflow design, and operational rollout in the same service motion, using base nodes and default embeddings to make assistant knowledge usable earlier in the delivery cycle.
Start here
Book a call and we'll learn where your team is today, where AI can help first, and what the next practical steps should be.