Manufacturing ops leader
“I know where the defects are. I need to catch them before they ship — and prove it with data my plant trusts.
AI that works after the demoAI that works
AI that works
on Day Two.
And every day after.
Day One is the demo that wows everyone. Day Two is the hard part — getting AI to actually work inside your real business. We're like a building contractor for AI: we assemble a custom system from proven tools, install it in your environment, and stay on.
What we build
- 01AI assistants that answer business questions — by pulling from your databases, spreadsheets, PDFs, and legacy software instead of someone hunting manually.
- 02Cameras and AI that watch your facility — flagging defects, safety issues, and missing inventory in real time, without expensive specialized hardware.
- 03AI tools for your engineering team — so your developers ship more using tools like Copilot, Claude, and Cursor, without burning your AI budget.
Custom-built · not off-the-shelfYour systems · your data12-month support · included
01 · Connect
Data in silos. Decisions in one place.
02 · Act
Everything visible. The right actions, first.
03 · Deploy
Pilots proven. Systems that stay.
Solutions
Three systems. One operating philosophy.
Each engagement starts with the outcome you're after, and aims at a system that helps produce it — in your environment, on your stack, against your data.
01 · Agentic Data Flows
Agentic Data Flows
Legacy sources → intelligence command center
Manufacturing · Public Safety · Retail
- Faster decisions, less waiting on reports.
- Legacy systems contributing without rip-and-replace.
- Ops teams working from signals, not noise.
The Problem — Data Graveyard01 · 03
02 · Vision AI
Vision AI
See everything. Surface what matters.
Manufacturing · Public Safety · Retail
- Defects spotted earlier on the floor.
- Incidents surfaced before they escalate.
- Inventory and shelf intelligence with less manual counting.
Legacy Reality01 · 03
03 · Gen AI Co-Dev
Gen AI Co-Development
From vibe coding to production-grade AI teams
Enterprise Engineering · Product Orgs
- Vibe coding → governed, repeatable co-dev process.
- Less rework, more first-time-right output.
- Teams that scale output without scaling headcount.
Individual Tool Chaos01 · 03
Our approach
Building blocks, customized to deliver.
We craft custom solutions that deliver accelerated value in your environment — built from technology we own, integrated into the stack you already trust.
01
Custom systems, assembled from proven blocks.
We invest in our own technology — reusable components for vision, agents, orchestration, and evaluation. For each engagement, we look to assemble them into a system that fits your environment, your data, and your team. The aim is the speed of pre-built with the precision of custom.
02
Your stack, your control.
Systems we build are designed to run in your environment, on your data, under your governance. We bring expertise, components, and a working point of view — and a clean handover as the engagement winds down. Specific terms for what carries forward are agreed during scoping.
03
AI-accelerated delivery.
AI is reshaping how software gets built. We use that leverage on your behalf — to move faster, integrate deeper, and free your people to focus on the parts only they can do. The intent is faster time-to-value, scoped honestly.
04
Service is the deliverable.
Outcomes, support, and partnership. The months after launch are where most AI investments quietly fade — so we plan for them during the engagement. What that looks like for your project is part of the conversation, not a one-size-fits-all promise.
How We Work
The DayTwoAI Model.
Three working habits we bring to most engagements. They're how we think about Day Two — not a fixed checklist.
Step 01
Outcome scoping
We sit with you to map what success would look like — measurable where it can be, observable where it can't. Written down, shared, used as the north star for the rest of the engagement.
Step 02
Integration sprint
We deploy into your environment from day one. Your VPC, your auth, your data, your obligations — running where the work lives.
Step 03
Build, ship, evolve
We ship into production and stay in the loop while the system finds its footing — tuning, hardening, and shaping what Day Two looks like for your team.
We build for production, not for the slide deck. Day Two is baked in from day one.
Day Two — designed inPricing framework
Priced around outcomes, scoped per project.
We don't list packages or per-seat tiers. Every engagement is scoped against the specific outcome you're trying to reach, the systems involved, and the shape of the team we'll work with. Pricing follows from that — discussed openly, agreed before we start.
Actual numbers scoped during discovery01
Outcomes define the scope.
Each engagement opens with a written outcome brief — what we're producing, where it lives, who signs off it's working. The brief shapes the plan, not the other way around.
02
Pricing is structured around the work.
Fixed scope, time and materials, retainer, or a hybrid — the structure follows the shape of the project. We propose the model that fits the risk and the timeline.
03
Day Two is part of the conversation.
What the system needs after launch — monitoring, retraining, evolution — gets discussed and scoped during the engagement, not bolted on later.
Who we work with
Operators who own outcomes.
We work directly with the people on the hook for the result — building together with the team who lives with the outcome every day after.
Public safety director
“My team can't watch every feed. I need a system that watches with them — and surfaces only what they should act on.
Enterprise engineering VP
“My developers are using AI. I want to know it's making us faster, safer, and more reviewable — not just busier.
Contact
Day Two starts with one conversation.
Tell us the outcome you're trying to produce. We'll read it, think on it, and come back with what a real conversation would look like.
Emailcontact@daytwoai.com
ResponseUsually within a few business days
FormatEmail first, call if it makes sense
EngagementsScoped per project
OUTCOME MATTERSEvery engagement starts with what success looks like for you.