Production AI
you can trust.
We go beyond the forward-deployed engineer. We find where AI pays in your business, embed engineers with your team to build it, and stay until it runs in production, governed and owned by your people.
250+ production systems since 2016 ·
Two ways to start
We find the right AI, ready your data, and build it
Discovery first, to find where AI pays. Then the data infrastructure that makes AI accurate and trusted. Then forward-deployed engineers embed with your team to build it, and your team owns it.
Find the best AI returns in your portfolio
We assess every portfolio company and rank where AI will return the most, so you know where to invest first. What ships at one company carries to the next.
Azure
Five levels of AI. Each one is built differently.
A chatbot, an agent that runs a workflow and a system that runs an operation are different builds: different data, different guardrails, different cost. We name the level first, then build for it, so each workflow gets the system it needs and what you spend matches what you get back.
- Level 1Chat & Copilot
- Level 2Connected Intelligence
- Level 3Workflow Agents
- Level 4Orchestrated Systems
- Level 5Autonomous Operations
Level 3 is where cost per seat becomes cost per task.
Three stages. Start where you are.
We learn your business and your data. We tell you what is worth building. We build it with your team and stay until it runs. Every stage is priced up front.
- Stage 1 of 3
Assess
We look at your data and how work gets done today, read-only. You get a ranked list of what to build, with the savings and the time to value. Two to four weeks.
- Stage 2 of 3
Build
Forward-deployed engineers embed with your team and build the first workflow in your cloud, on your systems, into production.
- Stage 3 of 3
Scale
We stay until it runs on its own. Then we take it to the next function or the next company.
Advisory. A senior AI lead on retainer for board reporting, governance and vendors.
Your data stays in your tenant. You get a readout every week. We are SOC 2 Type II.
Real workflows, before and after.
Real workflows from client engagements. Software now does the steps a team did by hand. A person reviews the exceptions.
CIM review cycles 4x faster
Reviewing a confidential information memorandum
Level 3 means an agent runs the workflow and a person reviews. See the five levels
Hours of reporting, now minutes.
DentalXChange, backed by Bregal Sagemount, built its reports by hand. Now they run in minutes, and the team sees operations in real time. Hear it from them.
Five levels. We start from yours.
Follow one workflow up the five levels. At Level 3, software runs the work and a person reviews the exceptions. We take each workflow only as far as its P&L justifies.
Level 3: Workflow Agents
An agent runs the close end to end. People review the exceptions it flags and approve.
Cost per seat becomes cost per task. This is the line between a faster headcount and a cheaper function.
The marker climbs on its own, or click a level. Level 3 is where cost per seat becomes cost per task.
Forward-deployed engineers, embedded in your team.
Our engineers don't hand you a deck. They join your team, work in your systems, and build next to your people until the workflow runs. The people who design it ship it. No hand-off to a junior team after the sale.
- production systems since 2016
- 250+
- weeks to know where AI pays
- 2 to 4
What it costs and how long it takes.
Three stages and an advisory retainer. Every price is published.
- Find where AI paysStage 1 of 3
Assess
Know where AI creates value.
- Time
- 2 to 4 weeks
- Price
- $25K to $50K
A free diagnostic first, then the full readout: opportunity map, ROI model, 90-day plan, board-ready.
Explore Assess - Build the first workflowStage 2 of 3
Build
Ship the first workflow.
- Time
- 3 to 6 months
- Price
- $75K to $350K
A senior pod takes one function to Level 3 (software runs the workflow, people review the exceptions) in production. First workflow live by day 100.
Explore Build - Repeat it across the portfolioStage 3 of 3
Scale
Repeat it across the book.
- Time
- Per year, annual agreement
- Price
- $250K to $1.5M+
What ships at company one is the starting point at company two. 3 to 15 companies.
Explore Scale - A senior AI lead on retainerAlongside every stage
Advisory
Fractional AI leadership.
- Time
- Monthly, 3-month minimum
- Price
- $15K to $30K / mo
A Portfolio Success Partner for board reporting, governance, and vendor management.
Explore Advisory
What we built, and what it did.
I've worked with at least a dozen technology teams, and without question the Blue Orange team stands above them all. Most valuable is the transparency they provide about progress and deadlines.
Their input and influence has gone directly to improving our bottom line.
The sectors we work in.
Operationally complex, data-heavy businesses, and the PE firms that own them.
Frequently asked questions
Blue Orange builds trusted production AI for PE-backed companies: we find where AI pays, ready the data, and embed forward-deployed engineers to build it. We build on Claude and Databricks, with senior engineers embedded wherever the portfolio is.
Financial services, healthcare, manufacturing, CPG and retail, and technology and SaaS. Most of our clients are PE firms and their portfolio companies: operationally complex businesses that need AI running in production, not in a demo.
Assess takes 2 to 4 weeks. Build runs 3 to 6 months, with the first workflow live in 100 days. Scale is an annual program across the portfolio. Advisory is a monthly retainer for a senior AI lead.
Forward-deployed engineers, not a pyramid of junior staff. Our engineers embed with your team, work in your systems, and build next to your people. The people who scope the work build it, and we tie our fees to results in production.
Three stages, with advisory alongside. Stage 1, Assess, finds where AI pays in two to four weeks. Stage 2, Build, embeds forward-deployed engineers with your team to put the first workflow into production. Stage 3, Scale, repeats it across functions and portfolio companies. Advisory is a senior AI lead on retainer. Every stage is priced up front, and you start at the stage you are at.
Five levels of AI maturity. L1, people use a chatbot. L2, the chatbot knows your data. L3, software runs a whole workflow and a person reviews the exceptions. L4, several agents coordinate. L5, the system starts its own work under policy. Most companies are at L1. We move them up one workflow at a time, as far as the workflow is worth taking.
Let's find where AI pays.
A read-only look with an engineer who has built this before. You leave knowing your level and what is worth funding.