Services
The useful question is not which AI service to buy. It is which workflow is expensive enough to change.
88%
of organizations use AI in at least one function. Agent use is still in the single digits across nearly every function.
Stanford HAI, AI Index 20261You are not buying a workshop, a deck, or a meetings-only retainer. You are hiring a technical operator: one expensive workflow, a guided path into production, and hands-on help so your team can run it.
Start here
Choose the work you need done.
If you do not know which workflowOpportunity AssessmentRank the processes by economics and readiness before you hire a path.If you already know the processWorkflow AutomationChange the expensive path, not leftover tasks around it.If you need the funding decisionAI ROI AssessmentConservative value, real cost, and a clear no if it does not clear.If the new path has to stay usefulAI AdoptionChange a step your people will actually run after go-live.
The map
One expensive workflow. A guided path into production.
01 Strategy
Where should we actually use AI?AI StrategyName the bets, and the no-list.AI Operating LeverageCapacity without a matching headcount increase.AI Opportunity AssessmentRank workflows by economics and readiness.02 Workflow
Which workflows are expensive enough to redesign?Workflow DiscoveryMap the real path and the cost of a case.AI Workflow AutomationAutomate the workflow, not leftover tasks.Human + AI Workflow DesignPut people on the decisions that matter.03 Value
Is this AI initiative worth funding?AI Value RealizationGet the win into the operating numbers.AI ROI AssessmentConservative value, real cost, a clear no.AI EconomicsCost per completed case, not token price.04 Operate
How does the new path stay useful after go-live?AI AdoptionChange a step, not a license count.Human + AI Workflow DesignPut people on the decisions that matter.Observability & OperationsHands-on guidance so the workflow stays useful.
A useful next step
Bring one expensive workflow. Get guided into production.
We guide the implementation, go deep on the technical path, and stay hands-on through operations — or tell you when a simpler answer is better.
Discuss an AI opportunity