Practical AI
Move from AI ideas to operating systems
Identify useful opportunities, prepare the data and controls, and launch agents your team can trust.
Deliverables
What you walk away with
Senior-led work with clear deliverables and ownership.
A prioritized AI opportunity map tied to real workflows
A clear data, permission, and governance model
Working agents, copilots, or decision support
Adoption and measurement plans for the teams involved
The engagement
A clear path to handoff
Every phase ends with a clear decision.
Assess
Review workflows, data readiness, risk, and expected operating value.
Design
Define the experience, model approach, controls, and success criteria.
Pilot
Launch a focused use case with representative users and data.
Operationalize
Measure results, train the team, and expand with clear guardrails.
Right fit
Built for high-stakes operating work
Leaders deciding where AI belongs in the operating model
Teams with valuable data but no clear path from prototype to production
Organizations that need permissions, review, and accountability around AI work
Also explore
Other service paths
Forward-deployed engineering
Senior engineers embedded with your team, from the first workflow to production.
Hardware and infrastructure
The devices, networks, and compute behind your software, sourced and supported.
Implementation
Launch with our team from discovery through production.
Custom Development
Custom apps and integrations built by Path engineers.
Training & Enablement
Training and enablement for your team.
Premier Support
Named support, priority response, and quarterly reviews.
Strategic Advisory
Architecture, roadmaps, and executive guidance.