Should we pursue it?
Initiative Review
$3,500 fixed · 5 business days. Pressure-test the opportunity, workflow, and next step before you invest in a build.
See the Initiative ReviewHealth Plans · Healthcare · Federal · Other Regulated
Get more value from AI without giving up control.
GNS-AI helps regulated organizations design, build, prove, and scale consequential AI — and add decision-level control when AI shapes actions that must be defended.
What we do: Initiative Review, scoped builds, pilot evaluation & scale readiness, workshops & training, and Decision Control Assessment / Decision Control Plane when persistent runtime control is warranted.
Common stuck points: pilots that never reach production · expensive workflows that stay expensive · unclear go / no-go · review and rework that erase the savings · resistance to expand automation · governance that stalls deployment.
Chief AI, CIO, CTO, Data, Operations, Responsible AI, Governance, Risk, and Compliance.
Abbott Diagnostics data science leadershipClinical AI experiencePh.D. Biomedical EngineeringDecision Control Plane patent applications
The hard questions land with you.What shaped this action?Why did it move?Why did a person not step in?Can we defend it?Can we scale it?
Design. Build. Prove. Scale. — with Control when AI shapes consequential actions. Start with an Initiative Review ($3,500), scoped Build, Pilot Efficacy & Scale Readiness, Decision Control Assessment, or the Decision Control Plane.
See how we helpWhat you can buy
Start with the business decision that is blocked.
Four commercial engagement paths. A fit call confirms which path applies — or that none does.
Can we build it?
Scoped Build
Turn a clear operating problem into a working AI workflow, application, agent, or integration in the real environment.
See how we BuildDid the pilot work?
Pilot Efficacy & Scale Readiness
Decide go / no-go / narrow with real-workflow evidence, economics, and what must change before scale.
See Pilot EvaluationCan we expand responsibility safely?
Governance · DCA · DCP
Decision Control Assessment for one consequential workflow, or Decision Control Plane when persistent runtime control is warranted.
See the Assessment · See DCPPrefer a working session first? Workshops and training are engagement formats under the same doors — strategy, use-case prioritization, pilot evaluation, governance, and workforce readiness — with a written next-step recommendation.
See workshops & trainingWhere value gets stuck
Common points where AI value stalls.
Each stall maps to a defined paid engagement.
Pilots that do not reach production.
The demo worked. Scale, ownership, and operating fit are still unresolved.
Automation that does not pay.
The workflow is still expensive because review, rework, or exceptions absorb the gain.
Hard to expand responsibility.
You cannot justify broader AI authority — or governance is blocking deployment — without a clearer control story.
How GNS-AI helps
Design. Build. Prove. Scale.
Four ways to move AI from idea to production value in regulated workflows — plus decision-level control when the action must be defended.
Design
Make the AI initiative worth building.
Define the operating problem, workflow, human role, data, success criteria, and conditions that would justify investment.
Build
Turn the opportunity into working AI.
Build AI applications, agentic workflows, integrations, and operating components for the real environment.
Prove
Know whether it actually works before you scale it.
Design or repair the evaluation, measure real workflow outcomes and economics, and determine whether the evidence supports expansion.
See Pilot Efficacy & Scale ReadinessScale
Expand what works into broader operations.
Translate validated results into the workflow, integration, operating-model, and control changes required for broader use.
Control across the lifecycle
Give AI more responsibility without losing control of consequential decisions.
When AI begins to shape consequential actions, GNS-AI helps define when work can proceed, when verification or human review is warranted, and where stronger controls are needed. For workflows that need persistent runtime control, the Decision Control Plane provides a decision-level control layer.
See Decision ControlDecision Control Plane™
A model can look fine. The decision can still fail.
Decision Control Plane™ adds decision-level control so consequential AI-influenced actions can proceed, verify, or review — with a decision record. Start with a Decision Control Assessment.
Proceed
Allow work to continue when the applicable control conditions are satisfied.
Verify
Add verification when a case warrants additional scrutiny.
Review
Require qualified human review when judgment is needed before the action proceeds.
Hold or escalate
Stop the proposed action from moving forward until the required issue is resolved.
Who this is for
For regulated organizations using AI in decisions they may later have to defend.
Market focus starts with Health Plans, then Healthcare care delivery, Federal & Public Sector, and Other Regulated Industries. Work concentrates on workflows where AI helps shape approvals, recommendations, determinations, or actions, and where legal, policy, clinical, financial, or public consequences make control a real operating requirement.
Other Regulated Industries for high-consequence AI workflows outside health plans, healthcare, and federal markets.
First conversation
Scope the next engagement.
Bring one initiative or workflow to a 30-minute fit call. We will identify the decision you need to make next: design it, build it, prove it, scale it, control it, or stop.
We are looking for four signals.
ConsequentialAI shapes an action with real impact.
RegulatedPolicy, law, or oversight materially constrains use.
BlockedReview, rework, approval, or risk is limiting scale.
Worth fixingThe volume or stakes can support a serious business case.
If the fit is strong, the next step may be an Initiative Review, scoped Build, Pilot Efficacy & Scale Readiness engagement, Decision Control Assessment, or no engagement at all.
Abbott Diagnostics data science leadershipClinical AI experiencePh.D. Biomedical EngineeringDecision Control Plane patent applications