Engagement Models
How to buy InheritX without category confusion.
Three primary motions, plus embeds when the roadmap is already clear. Choose the path that matches your decision, not a menu of everything at once.
How we engage
Recommended buying sequence
Most enterprise programs benefit from clarity before capacity.
01
AI Consulting & Architecture
When the mandate, KPI, data readiness, or security path is unclear. Output: blueprint your CISO and architecture board can defend.
02
Transformation / production build
When you are ready to ship governed capability into your private cloud with evaluation, observability, and IP handover.
03
Dedicated AI Squads
When a business unit needs a pod that owns a capability end-to-end under InheritX delivery leadership.
04
Embedded AI Engineering
Only when the roadmap and architecture standards already exist and the bottleneck is senior execution capacity, not strategy.
Fit
Match need → motion
We need a board-ready plan and honest feasibility
AI Consulting & Architecture
We need private AI in our VPC with ownership at handover
AI transformation / production build
We need a pod to own one capability through to production
Dedicated AI Squads
We have a clear backlog and need senior AI bench strength
Embedded AI Engineering
Perspective
What InheritX is, and is not
InheritX is an AI-native enterprise partner, an Enterprise AI Solutions company. We design, build, govern, and hand over systems. We are not a foundation-model provider, and we are not a classic staff-augmentation broker optimizing for headcount.
Embeds exist to accelerate a defined roadmap under your standards. If you need the mandate and blueprint first, start with consulting, even if you eventually want embeds.
Continue
Open a motion
Next step
Map this capability to your mandate.
A focused strategy conversation, constraints, systems, and what production readiness looks like for your organization.