Industries
AI consulting shaped for the way your industry actually works.
The useful AI questions are rarely generic. We connect AI strategy, RAG, agents, automation, and evaluation to the workflows, risks, records, and decisions an industry already runs on.
Services
strategy · RAG · agents · evaluation
Work style
industry context before tools
Base
Media, PA · Greater Philadelphia
Industry pages
Seven practical places to start.
Each page focuses on where AI can create leverage, where it can create risk, and what a serious engagement should produce before broader rollout.
What changes when AI work is shaped for your industry
The service categories stay familiar: strategy, RAG, agents, automation, evaluation, and leadership. What changes is the detail — the part that determines whether an AI system gets trusted, adopted, and operated after launch.
We start from the business context behind the model: the records people rely on, the approvals they cannot skip, the risks they have to control, and the evidence leadership needs before rollout.
Source material: contracts, charts, tickets, SOPs, deal files, or client records
Workflow: who reviews, approves, escalates, edits, or owns the output
Risk: confidentiality, compliance, accuracy, safety, client trust, or service quality
Evaluation: test cases drawn from real work, edge cases, and failure patterns
Rollout: a roadmap your leaders can defend and your team can operate
Next step
Have an industry-specific AI decision to make?
Start with the workflow, data, risk, or operating constraint that makes your situation different.