Hypercare window
A defined period after go-live for stabilization, knowledge transfer, and rapid response on issues tied to the delivered system.
Our Approach
From discovery to production.
Discover, strategise, prototype, deploy, and scale, with governance and ownership in every phase. Typical engagements move from feasibility to private-cloud go-live with full IP handover.
How we engage
Four phases, one operating discipline
Programs flex in duration and shape, but the sequence holds. Skipping a phase is how pilots die quietly.
01
Discovery
Map opportunity, constraints, data readiness, and the operating model gaps that block scale. Name the KPI before tooling conversations begin.
02
Blueprint
Architecture for private AI estates, agent ecosystems, integrations, security, and LLMOps posture, written for security review and executive decision-making.
03
Pilot to proof
Ship a narrow, production-grade capability with evaluation harnesses, observability, and exception handling, not a sandbox that cannot survive Monday morning.
04
Industrialize
Enablement, platform patterns, and handover so capability compounds across business units after the initial squad moves on.
Perspective
Why sequence matters more than speed
Enterprises often rush to build because competitors are visible in headlines. The failure mode is familiar: a fluent demo, vague success criteria, no owner for exceptions, and a security review that arrives too late.
Our approach forces the decisions that industrialization requires, what moves if this works, which systems are in scope, who owns risk, and what must be true to scale, before the first sprint.
That discipline is not bureaucracy. It is how regulated buyers protect advantage while still moving faster than organizations stuck in endless pilot loops.
Dual view
What we bring vs. what you keep
InheritX delivers
Senior architects and engineers who have shipped complex platforms before AI was a category.
Patterns for governed agents, private retrieval, evaluation, and cost control.
Delivery leadership that keeps stakeholders aligned and risks visible weekly.
Enablement artifacts, runbooks, eval suites, and architecture decisions, that outlive the engagement.
You retain
- Full IP on code, fine-tunes, and agents
- Control of deployment estate and data boundaries
- Decision authority on policy and risk appetite
- Internal teams upskilled to operate what we build
- Freedom from vendor lock-in
Capabilities
After handover
Ownership raises a fair question: who supports the system next? Options are explicit, never forced dependency.
Advisory retainer (optional)
When offered, ongoing architecture and optimization advice without repossessing your IP or requiring a rented platform.
Enhancement waves
Additional scoped builds as new workflows industrialize, same ownership model as the original program.
Your operations remain yours
You are not required to keep InheritX online to run what you own. Handover is designed for internal operability.
FAQ
Engagement questions
Yes, if the blueprint decisions are documented: KPI, scope, exception ownership, and scale criteria. If those are missing, we will recommend a short architecture phase first.
Alongside, by default. The goal is capability transfer, your teams should be stronger operators when we step back, not dependent on permanent embeds.
Industrialization includes platform patterns and governance models that business units can adopt without re-solving security and evaluation from scratch each time.
Next step
Map this capability to your mandate.
A focused strategy conversation, constraints, systems, and what production readiness looks like for your organization.