Technology Advisory
Technology Advisory for Complex Organizations
Sprinklenet advises government agencies, enterprises, and startups on AI investment, technology strategy, and implementation. Our leadership brings nearly 20 years of experience, including leading AI research funded by the U.S. Air Force, founding an early mobile computer vision company, and serving on engineering and strategy teams for B2B and B2C businesses.
What We Deliver
We align technology strategy with organizational goals, evaluate platforms and architectures for sound investment decisions, and design implementation roadmaps that account for security, compliance, and operational reality. For organizations establishing AI oversight, we write the AI policies and build the use case intake process, system inventory, and risk register the program runs on, aligned to the NIST AI Risk Management Framework and OMB AI guidance.
Chief AI Officer Advisory
A retained Chief AI Officer who works alongside your leadership every month: owning the AI roadmap, vetting platforms and vendors, and turning investment into shipped, governed systems. AI readiness assessments and multi-year roadmaps come built in.
Technology Due Diligence
We evaluate AI platforms, SaaS products, and enterprise architectures to surface risks, validate claims, and inform investment decisions. Our due diligence practice serves acquirers, investors, and organizations selecting critical technology partners. Read our AI partner evaluation checklist.
Business Process Optimization
We map existing workflows, identify automation opportunities, and design process improvements that integrate AI where it delivers measurable value. This work includes executive dashboards and data pipeline optimization. See our process consulting practice.
How an Advisory Engagement Runs
A first discussion identifies the business objective, intended users, existing systems, operating constraints, sponsor, and decision timeline. A scoped review then defines options, dependencies, acceptance criteria, and implementation responsibilities. Where the review leads to a build, Sprinklenet delivers a working prototype in the first two weeks and moves from pilot to production in approximately six weeks.
AI Governance From Intake to Policy Update
Our AI governance practice applies one cycle to every AI use case an organization fields: intake, inventory, risk assessment, controls and monitoring, and policy update. Knowledge Spaces supplies the audit records and evaluation runs that monitoring depends on.
- IntakeUse case, data sources, owner, and intended users recorded.
- InventoryEntered in the AI use case inventory with its status.
- Risk AssessmentImpact level set. Required controls identified.
- Controls and MonitoringControls applied. Audit records and evaluation runs reviewed.
Audit records · 40+ event typesEvaluation runs · scored, per bot
- Policy UpdateFindings revise policy and guidance.
Request a Consultation
Evaluate your AI readiness, identify practical opportunities, and learn how Sprinklenet delivers governed, production-ready AI systems for your organization.
