First we understand how your company operates today. Then we build the software that will operate it tomorrow. A vertical OS with AI integrated at its core, shaped around your actual operation — not the other way around.
Operating system for sourcing, screening and underwriting acquisitions of preschools. AI agents triage marketplaces, codify the firm's investment criteria and produce investment committee memos.
End-to-end operating platform for the factoring of public-sector contracts. Commercial pipeline, credit underwriting and operational tracking unified on a single AI-native system.
Foundation diagnostic mapping the operations of the four Talent teams, followed by a workshop where solutions are built together with the teams — not generic AI-101 content.
First we understand how your company operates. Then we build the software that operates it. Finally we deploy agents that operate on top — with human oversight only where it matters.
Combines structured interviews with a proprietary analytical engine trained on public top-tier consulting frameworks and our cross-industry expert network. Three verifiable deliverables at closure:
Each OS solves a bounded set of critical processes for a specific business area. Modeled to the vocabulary, workflows and roles of the client's real operation — not a generic SaaS with re-branding.
Once the OS captures operational flows and data for a business area, the agent layer executes on top: dynamic pricing, automated sourcing, exception handling, month-end close. Governance model based on thresholds and auditable delegation.
Proprietary catalog of pre-trained vertical agents, validated in production and refined with every implementation. Reusable stack, compressed time-to-value, decreasing marginal cost transferred to the client.
In any industry with complex operations, three delivery models dominate today's transformation market. All three carry a structural cost the client ends up absorbing in margin, time-to-market or iteration speed.
Operating system built on top of a proprietary operational diagnostic, with frontier AI embedded in the product core. First release in six to eight weeks. The client's operational differentiation is preserved and codified into their own stack.
Delivers a diagnostic, not a system. The recommendation rarely translates into sustained operational change, and the knowledge generated during the project never gets incorporated into the client's stack.
Projects typically take twelve to eighteen months and run two to three times over initial budget. The delivery team rarely incorporates the operational knowledge of the business, and the stack arrives obsolete at go-live.
The vendor's data model replaces the business model, and customization is limited to presentation. The operational differentiation that sustained the client's competitive position is neutralized by adopting the vendor's template.
Iterative delivery model with validatable artifacts at the close of each phase. The client keeps full operational visibility over program progress at every point.
Structured interviews with key stakeholders. Mapping of processes, roles and operational friction points. Deliverable: operational diagnostic and technical architecture of the proposed OS.
Navigable prototype with main views, roles and flows in high-fidelity format. Available for internal client validation and stakeholder alignment ahead of the implementation sprint.
Backend build, integrations with existing systems, AI layer and enterprise authentication. Phase closes with a pilot cohort operating the system in a controlled production environment.
Production rollout and onboarding to the full user base. Evolutionary roadmap governed by usage telemetry and structured feedback from the client team, not by static initial specification.
Every OS we build targets a concrete operation. These are the orders of magnitude we pursue in the verticals where we are already pushing.
Foundation is not a separate deliverable: it is the direct input into every OS. The interviews it processes become the map of critical tasks, the journey by role, and the prioritized AI use cases — which form the operational backlog of the OS built on top.
Operating OS for geriatric residential care. Reduces administrative load on the care team and leaves documentation traced for regulatory audit.
Cross-functional layer for operations with high handoff density: exceptions, claims, month-end close. Applicable to manufacturing, retail, logistics and services.
The program is structured in two contractual phases. The first concentrates the operational diagnostic and system build under a fixed fee. The second keeps the OS under a continuous service contract covering operation, evolution and support.
Time-to-production: eight weeks to first production release. Compared to the market average of twelve to eighteen months for equivalent implementations.
A thirty-minute conversation to review your operational domain, the possible transformation levers and the application case for a vertical operating system in your organization.