01 / 03
Back office operations account for up to 35% of total manufacturing overhead costs according to operational efficiency studies
Take the Lomo AI Readiness Assessment and receive a custom breakdown of where AI systems can reduce manual work, improve quality control, increase production efficiency, and create more operational leverage across your company.
Built on
01
Requests for quotes, order inquiries, and lead follow-ups often fall through the cracks during busy production cycles. AI agents catch every lead and respond instantly, ensuring no potential sale is missed.
02
Inventory management, production scheduling, and supplier communications consume valuable time for your team daily. AI agents run these workflows end-to-end, allowing staff to focus on strategic tasks.
03
Order updates, shipment notifications, and after-sales support lag when staff are overloaded. AI agents handle outreach, follow-ups, and inquiries, ensuring clients are always informed and satisfied.
A personalized report built from your responses, showing where AI can create the most value in your business.
Your overall score and what it means.
See how you compare to similar companies.
Strategy, Data, Talent, Infrastructure, Culture, and Execution.
Your highest-leverage workflows and agent ideas.
Where to start and which agents to build first.
A practical roadmap for the first quarter.
Why now
01 / 03
Back office operations account for up to 35% of total manufacturing overhead costs according to operational efficiency studies
02 / 03
Deloitte forecasts agentic AI adoption in manufacturing will increase from 6% to 24% by 2026, a 300% growth rate
03 / 03
Manufacturing companies achieve 150% to 250% ROI on AI powered supply chain optimization within 18 months of deployment
Our AI Readiness Assessment identifies the workflows in your manufacturing facility that are most ready for AI, from production scheduling and quality control to inventory management, supply chain optimization, predictive maintenance, and operations.
2 questions. Your number in 10 seconds.
Question 01 / 02
What we'd build
Four examples of AI operations we'd install inside a operation. Tap any card to see how it runs.
01
02
03
04
How we work with manufacturers
We embed a fractional AI team inside your operation to build, deploy, and operate the systems identified above. 90 day cycles with measurable outcomes.
01
Two weeks. We map your workflows, identify the highest ROI AI opportunities, and deliver a prioritized deployment roadmap. Four hours of your time.
See how the Sprint works02
A fractional Chief AI Officer plus implementation team inside your operation. We build the systems, train your people, and run them until they compound.
See how Transformation works03
Structured AI fluency programs built for manufacturers. Your team learns to operate and extend the systems we deploy, not rent them forever.
Training programsRelated industries
AI for Food Manufacturing Companies
Explore →
AI for Warehousing Companies
Explore →
AI for Printing Companies
Explore →
AI for Freight Companies
Explore →
AI for Distribution Companies
Explore →
AI for Logistics Companies
Explore →
AI for Food Processing Companies
Explore →
AI for Trucking Companies
Explore →
AI for Machine Shops
Explore →
AI for Manufacturing Companies
Explore →
AI for Metal Fabrication Shops
Explore →
AI for Packaging Companies
Explore →
Start with a 3 minute AI audit, or book a strategy call with our team. We will walk through which use cases make the most sense for your operation specifically.