AI Consulting Services
Consulting That Ships Code.
Not Slide Decks.
We provide AI strategy and implementation consulting that ends in a running system, not a roadmap document, scoping, building, and operating the AI your operations actually need.
Where Consulting Fails
Most “AI Consulting” Ends at the Slide Deck
Traditional AI consulting firms hand you a strategy document and a vendor list, then leave before anything ships. Here's what we hear from teams who've been through that cycle.
Where It Breaks
How We Build It
“We paid for a 100-page AI strategy deck and got zero lines of code.”
Every engagement ends in a running system, not a document. Strategy and architecture decisions are validated by what we actually build.
“Our consultants left as soon as the recommendation was delivered.”
We stay through BUILD and OPERATE. The team that designs the system is the same team that ships and runs it.
“The “AI roadmap” we bought reads the same as every other company's.”
We scope against your actual workflows and data during the AI Audit, not a generic industry template.
“We don't know if we need agents, automation, or a private model, just a lot of vendor pitches.”
We're vendor-neutral. We recommend and build whichever architecture, automation, agents, or private infrastructure, actually fits the problem.
“Leadership needs governance and compliance sign-off before anything touches production.”
We build governance, audit trails, and approval gates into the implementation itself, not a separate compliance workstream.
How We Consult
AI Consulting, Delivered as a Working System
Every engagement runs through the same three phases: audit, build, operate. Strategy without an execution team behind it doesn't leave our office.
AI Strategy & Opportunity Audit
A 1-2 week audit that maps your workflows and data to identify where AI actually creates leverage, and where it doesn't. Delivered as a scoped build plan, not a slide deck.
Implementation Consulting
Architecture and engineering delivered by the same team that scoped the audit: automation, agents, autonomous systems, or private AI infrastructure, whichever fits, built into your existing stack.
Generative AI Consulting
Evaluation and deployment guidance for LLM-based systems: model selection, prompt and context architecture, and where generative AI is, and isn't, the right tool for a workflow.
AI Governance & Compliance Consulting
Guardrails, audit logging, and approval workflows scoped alongside data sovereignty and regulatory requirements, built into the system from the first architecture decision.
Deployment Model
Three Phases.
One Outcome: AI in Production.
/ 01
AI AUDIT
1–2 weeks
Our engineers integrate with your team to map current workflows, identify AI leverage points, and produce a concrete build plan with scope, timeline, and expected outcomes.
- —Workflow mapping sessions
- —AI opportunity scoring
- —Delivery roadmap
/ 02
BUILD
4–8 weeks
Engineering begins. We build, test, and iterate on production-ready AI systems against your actual data and real operational conditions.
- —Custom model pipelines
- —Integration with existing stack
- —Iterative testing in staging
/ 03
OPERATE
Ongoing
We operate the system alongside your team, monitor performance, resolve edge cases, and expand capabilities as your operations scale.
- —Live operations support
- —Performance monitoring
- —Ongoing iteration
FAQ
Frequently Asked Questions
Everything you need to know about our AI systems, how we build, and what to expect.
Start Here
Stop paying for advice.
Start shipping the system.
One 30-minute call to scope an AI consulting engagement that ends in a shipped system, not a strategy document. No commitment, no deck, just a plan.
30 min · No commitment