Prioritize
Too many AI ideas
Limited time, money, and capacity. Rank which opportunities deserve serious investment.
Prioritize our AI opportunities
GNS-AI helps regulated organizations choose the right AI opportunities, put them into real workflows, prove value, and scale what works. Decision Control stays available when AI shapes important actions.
Match the stuck point to the next engagement.
Limited time, money, and capacity. Rank which opportunities deserve serious investment.
Prioritize our AI opportunitiesPressure-test one initiative before the next dollar lands.
Pressure-test an AI initiativeTurn a defined problem into a working AI workflow, application, agent, or integration.
Build or fix the workflowFind out whether the pilot created enough real-world value to expand.
Evaluate an AI pilotMove from a working pilot to architecture, scoped build, or operating rollout that fits the live workflow.
Plan path to scaleAssess one consequential workflow. Add Decision Control Plane when you need ongoing control.
Start Decision Control AssessmentWho it is for, the situation, the outcome, timeline, and price where established.
Who: Leaders with too many AI ideas and limited operating capacity.
Situation: Teams risk spending months on initiatives that produce little operating value.
Outcome: Prioritized portfolio, rationale, first opportunities, evidence gaps, later-stage items, and a next action per priority.
Timeline: 7 business days.
Price: $7,500 fixed fee.
Includes preparation, leadership workshop, evaluation of a bounded portfolio of use cases, prioritized recommendations, and a written next-step roadmap.
Prioritize our AI opportunitiesWho: Leaders who need a clear go / narrow / stop call before more spend.
Situation: The idea looks promising. The path, risks, and readiness are still fuzzy.
Outcome: A written recommendation. Clear next steps. Or a stop call.
Timeline: 5 business days
Price: $3,500
Pressure-test an AI initiativeWho: Teams ready to turn a defined problem into working software in the live workflow.
Situation: Requirements are clear enough. The gap is implementation, integration, and handoff.
Outcome: Working capability. Documentation. Handoff plan. Capabilities include AI applications, assistants, agents, agentic workflows, workflow automation, and data interoperability (including Denodo for data virtualization and semantic access).
Timeline: Scoped to the work
Price: Scoped
Build or fix the workflowWho: Teams with a pilot that needs an honest decision before more investment.
Situation: The pilot ran. It is unclear whether it created enough real-world value to expand.
Outcome: Evidence-based go / hold / stop recommendation. Scale conditions if you proceed.
Timeline: Scoped to the pilot
Price: Scoped
Evaluate an AI pilotWho: Teams ready to expand what already works in a regulated workflow.
Situation: A pilot or limited release created value. The next step is architecture, scoped build, or operating rollout.
Outcome: A clear scale path tied to workflow, data, and ownership. Route through Scoped Build, architecture, or deeper pilot proof as needed.
Timeline: Scoped
Price: Scoped
Who: Organizations where AI-shaped work becomes a consequential action.
Situation: A model can work correctly and the final action can still be wrong. Leaders need control at the action, not only at the model.
Outcome: Assessment findings and a clear Control plan. Optional ongoing Decision Control Plane. Public outcomes stay simple: Proceed, Verify, Review, Hold or escalate.
Timeline: Assessment typically weeks. Plane is Scoped.
Price: Decision Control Assessment from $30,000. Decision Control Plane Scoped.
Half-day and one-day sessions under the same engagement paths. Each produces a written artifact and a recommended next step, or a stop recommendation.
Rank candidate workflows by value, readiness, consequence, and time to useful result.
Align leadership on where AI should (and should not) create operating value.
Define go / no-go criteria and the evidence plan before you spend another quarter on the pilot.
Find where authority is too coarse, too weak, or undefined for consequential AI actions.
For agencies operationalizing high-impact or mission-critical AI under policy and oversight constraints.
Role-based readiness for operators, reviewers, and leaders. Not generic AI literacy.
Prefer a fixed productized entry? Start with the Initiative Review ($3,500). Need ranking first? Use AI Use-Case Prioritization.
Bring the initiative, workflow, pilot, or consequential AI problem. We will map it to Prioritize, Design, Build, Prove, Scale, or Decision Control.