AI Engineering, Grounded in Operations
AI that actually ships. Built by people who've run operations before.
We're not an AI startup. We're an engineering crew with decades of enterprise delivery behind us — logistics, healthcare, hospitality — who now build AI systems that survive contact with production. No demos that die in a slide deck. Working software, measurable results.
You've seen the AI pitch decks. Here's what they don't fix.
Pilots that never leave the lab
Your team built (or bought) a proof of concept eight months ago. It's still a proof of concept. Nobody owns getting it into production, and nobody knows what it would cost to run at scale.
Vendors who don't know your industry
Generic AI consultancies have never dispatched a truck, coded a claim, or turned over a hotel room. They optimize for the demo, not for the Tuesday-morning shift change.
Compliance as an afterthought
Your legal and IT teams keep blocking AI initiatives — because most proposals arrive with zero answers on data handling, audit trails, or regulatory exposure. They're right to block them.
Costs nobody can predict
Token bills that triple overnight, models that drift silently, hallucinations that reach customers. AI without operational discipline is a liability, not an asset.
Seven ways we help — from a first look to full operational ownership
AI Workflow Deployment
We find your most expensive operational bottleneck and replace it with a production-ready AI workflow, integrated into the systems you already run.
Learn more →AI Assessment Sprint
A 3–5 day audit that gives you the top three AI opportunities in your operation, ranked by ROI — with the fee fully credited toward your next engagement.
Learn more →AI Operations Platform
We take your stalled pilot or PoC and harden it for production: security, compliance, load, and cost efficiency at scale.
Learn more →Fractional AI Engineering Team
A dedicated team of senior engineers building your roadmap with AI-accelerated delivery, at a fraction of the cost of hiring in-house.
Learn more →AI Care
Managed AI operations with a real SLA: monitoring, drift and hallucination detection, cost control, and incident response — around the clock if you need it.
Learn more →AI Data Readiness Sprint
We audit and prepare your unstructured data so your AI initiatives stand on a solid foundation instead of a document swamp.
Learn more →AI Governance & Audit Readiness
The technical governance layer that lets you pass audits and satisfy regulators: model registry, logging, eval gates, and an evidence pack aligned to NIST AI RMF, ISO 42001, and the EU AI Act.
Learn more →How we work
A clear path from the first operational review to a system running in production.
Understand the operation
We review the workflow, systems, data, constraints, and the operational problem behind the AI request.
Define the outcome
We agree on the expected result, scope, timeline, budget, risks, and clear criteria for what “done” means.
Build and integrate
We build the solution, test it with real scenarios, and connect it to the systems your team already uses.
Launch and improve
We deploy to production, measure the result, monitor performance, and improve the system based on real usage.
Selected results
Real operational improvements delivered in production environments.
less time spent on manual document processing
Payback in under five months
View case study →faster first response to patient messages
Human approval retained for every outbound message
View case study →saved per week, per property
Guest-request resolution improved by ~40%
View case study →Why conservative companies work with us
We understand skepticism about AI vendors. Frankly, we share it. Here's how we're different:
Operations first, AI second
Every one of our senior people spent years shipping software for industries where downtime costs real money. We learned AI on top of that foundation — not instead of it.
Production is the only milestone that counts
We don't bill for prototypes and walk away. Our engagements are scoped to a system running in your environment, used by your people, measured against your numbers.
We integrate, we don't replace
Your ERP, your TMS, your EHR, your PMS — they stay. We build AI that plugs into what you have, because rip-and-replace projects are where budgets go to die.
Fixed scopes, honest numbers
You'll get a price range, a timeline, and a definition of done before we start. If an AI project doesn't make financial sense for you, we'll say so.
Questions we hear before the first call
Straight answers to the questions your team will ask before approving anything.
It depends on scope and complexity. Our AI Assessment Sprint starts at $2,500 and gives you a precise number for your specific operation. Workflow deployment projects run from $15,000. Fractional engineering teams and managed operations start at $6,000/month. We give you a price range, a timeline, and a definition of done before any work begins — no open-ended retainers, no surprise invoices.
We define success metrics before we start — cost-per-transaction, throughput, error rate, headcount reallocated. If we can't name a measurable outcome tied to your P&L, we don't take the project. Every engagement is scoped to a system running in production, used by your people, measured against your numbers.
An AI Assessment Sprint takes 3–5 days and delivers your top three opportunities ranked by ROI. A full workflow deployment runs 4–10 weeks depending on integration complexity. We don't count a project as complete until the system is live in your environment — not in a staging server, not in a slide deck.
Yes — and that's our default mode. We don't do rip-and-replace. Your core systems stay exactly where they are. We build an AI layer that plugs into what you already run, whether that's SAP, Oracle TMS, Epic, or a custom-built internal platform. Integration risk is the first thing we scope.
No. We work with on-premise, private cloud, and hybrid architectures. Your data stays where your compliance team requires it to stay. Cloud migration is never a precondition for working with us — and we'll say so upfront if a vendor tells you otherwise.
Compliance is architecture, not an afterthought. We build audit trails, data handling policies, access controls, and logging into the system from the start — not bolted on at the end when your legal team flags the launch. For regulated industries, we can align deliverables to HIPAA, GDPR, or both. On the governance side, our AI Governance & Audit Readiness service produces a full evidence pack aligned to NIST AI RMF, ISO 42001, and the EU AI Act — a model registry, logging infrastructure, evaluation gates, and documentation your auditors can actually use, not a PowerPoint about responsible AI.
Start with a conversation, not a contract.
Thirty minutes with an engineer — not a salesperson. Bring your messiest operational problem. We'll tell you honestly whether AI can help, roughly what it would take, and what we'd do first.