Designing AI Systems for Cross-Functional Teams
Assign responsibility at the points where work changes hands: source approval, access changes, answer review, incident response, and release.
Knowledge Spaces
Applications
Governance
Delivery
Advisory
Industries
Government and Teaming
Company
Contact
Contact
Scope a Six-Week Pilot
Author
Sprinklenet Research contributor focused on agentic workflow mapping, process design, and human-in-the-loop operating models.
Assign responsibility at the points where work changes hands: source approval, access changes, answer review, incident response, and release.
Describe one workflow as allowed steps, approval points, and recovery paths. Use narrow permissions for each action and record the approved input.
Pilot with a bounded collection of approved folders.
Choose a repeatable task where better retrieval or integration would improve delivery. Define the current baseline, approved information, and a small acceptance test.
How to evaluate an AI system on invented documents with known correct answers before real records are shared, and what that testing cannot prove.
Choose one recurring ticket type with a maintained knowledge source and a clear owner.
For each action, define who may request it, what the reviewer sees, and what the system does after approval or rejection.
Begin with the tasks users already perform and the decisions they remain responsible for.
The difference between organizations that ship AI and those that stall almost always comes down to team structure. Three roles every AI team needs.
Intelligent automation moves past rule-based automation to systems that interpret context, adapt to variation, and support decisions in complex situations.
Every vendor claims agentic AI. What it is, where it creates measurable value, and how to adopt it without the missteps that derail most…
AI chatbots built on a knowledge management platform resolve routine IT help desk tickets automatically while improving response times and employee satisfaction.
Most weeks I send one short read on enterprise AI: what’s working in real deployments, what’s not, and what I’d do in your seat.
Jamie Thompson, Founder and CEO