Do not bolt AI onto a broken workflow.
PAL uses a maturity ladder: relieve the pain, expose the workflow drag, build a governed twin at the edge, then migrate only after proof.
Managed AI Workflows
Practical relief for a narrow workflow: drafting, triage, follow-up, reporting, quoting support, or document prep without forcing a system replacement.
Learn more →Workflow Drag Audit
We find where bolt-on AI will fail: unclear approvals, scattered data, tribal knowledge, no exception owner, or no source of truth.
Learn more →AI-Native Workflow Twin
A governed copy of one messy workflow built beside your ERP, QMS, CRM, email, and spreadsheets, then proven in shadow mode.
Learn more →Operating Model Transformation
After one twin proves itself, we repeat the pattern workflow by workflow until the business has a real AI-native operating layer.
Learn more →Build at the edge.
Prove it before you migrate.
The current process keeps running. PAL builds a parallel AI-native version with logs, evals, human approval, rollback, and a scorecard. If the twin does not beat the old workflow, you do not migrate it.
We know what
slows you down.
Led by a Purdue mechanical engineer who spent years as a Senior PM in injection molding. I've sat in production meetings where half the data was wrong. I've fought ERPs, spreadsheets, and broken workflows across manufacturing and service operations.
I didn't just advise — I built a full MES/quoting platform (FloorOps) to prove we can go from idea to working software. Now we bring that same capability to manufacturers and service businesses.
Read the story →Built by an engineer who's worked the floor.
We don't just consult — we build.
Questions our clients ask
How does AI help an injection molding shop specifically?
We automate the paperwork that surrounds molding, not the molding itself. A typical IQ/OQ/PQ validation packet takes 40-80 hours of a Quality Engineer's time; AI can draft the mechanical parts (filling tables, checking tolerances against specs, generating summaries) so the QE reviews and signs in a fraction of the time. We do the same for CAPA trails, ISO 9001 / ISO 13485 / FDA audit prep, PPAP, and quoting. Built by a PM who ran injection molding programs and speaks ISO, PPAP, and validation.
How does AI consulting work for a small or mid-size business?
We start by mapping one workflow and scoring the drag: approvals, data access, task clarity, exception ownership, governance, and ROI. If a bolt-on workflow is enough, we build it. If the process is structurally messy, we recommend a workflow twin instead.
What kind of automations can you build?
Common starting points include RFQ intake, quote packet assembly, CAPA/NCR documentation, ISO/FDA audit prep, customer update drafting, scheduling exceptions, supplier quote comparison, and ERP report cleanup.
How long before we see results from AI consulting?
A managed workflow can show value in 2-6 weeks. A workflow twin is usually a pilot sprint: map, build, run in shadow mode, compare results, and decide whether to migrate, continue, or stop.
Do we need to replace our current ERP to benefit from AI?
No. We build automations that integrate with your existing systems — your current ERP, spreadsheets, email, and databases. The goal is to make what you already have work harder, not to rip and replace.
What makes Precision AI Labs different from other AI consultants?
PAL combines shop-floor manufacturing experience with real software delivery. The goal is not a prompt pack or slide deck. The goal is a governed operating loop: source data, event log, human approval, audit trail, rollback, and measurable old-vs-new performance.
Ready to test one workflow?
Bring one messy workflow. We'll tell you whether it needs a simple managed workflow, a drag audit, or a governed twin built in shadow mode.
Book a Workflow Call →