Custom AI WorksGet AI That Solves Your Industry's Costliest Bottleneck
Generic AI demos break in week one — your real work runs on your systems, your rules, and private context. Pick your industry below. We start with its costliest workflow, fit AI to it with human review where it matters, and prove it before expanding.
One workflow first · Fixed quote after scope · You own the system
The Directory
Start with the bottleneck that sounds like your Tuesday. Each industry page goes deep on its own guardrails and first fix.
Healthcare
Intake, reminders & documentation eat clinician time
First fix: intake + scheduling + note drafts
Legal
Document mountains eat billable hours
First fix: review + cited research
Finance & Fintech
Month-end war; numbers must prove themselves
First fix: reconciliation + traceable close
Small Business
The owner is the entire system
First fix: call/lead capture + follow-up
Manufacturing
Downtime & QC escapes found too late
First fix: predictive signals + alerts
Ecommerce
Ads, stock & support tell different stories
First fix: catalog readiness + margin campaigns
Not listed? These are our deepest playbooks, not our limits. Spans several industries? Common — we assemble one coherent build.
Why Generic AI Breaks in Real Industries
Knowledge is scattered
It lives across tools, documents, messages — and the head of whoever's been there longest. A chatbot that can't reach it guesses confidently.
Exceptions are the workload
Automation cruises until inputs vary or an approval matters. That's where demos die and operations live.
The handoff is unexplained
An output with no source, no owner, no correction path loses team trust within a month — rightly.
Before You Commit
When does custom AI make sense?
When a valuable workflow depends on private context, several systems, business-specific rules, or approval boundaries generic tools can't represent.
Can you use our existing software and data?
Often, yes — least-privilege access, with data quality, permissions, vendor limits and a safe fallback designed in.
How do you keep output reliable?
Constrained instructions, approved sources, deterministic rules where possible, structured outputs, evaluation cases, human review for high-impact decisions.
Who owns the finished system?
Defined in scope: client-owned accounts, inspectable logic, documentation, clear maintenance path.
Get My Fixed Quote
Tell us your industry and costliest workflow.