AI Solutioning Acceleration · 90-day delivery cycles
An embedded solutioning pod working directly on your highest-value AI use cases, with each 90-day cycle making the next one faster, more efficient and better governed.
AI Solutioning Acceleration is a Vivid engagement that embeds a senior solutioning pod inside a client team to ship AI use cases to production in repeating 90-day cycles. Each cycle produces governed architecture, high-level design documentation, and playbooks that lower the cost of every use case that follows, and the improvement is tracked in a per-cycle economic register.
Most AI delivery engagements optimize for one cycle and leave. Vivid embeds a senior solutioning pod that ships production use cases and builds the architecture patterns, playbooks, and governance standards that compound across every subsequent cycle.
The result is faster delivery now and a lower cost per use case over time, tracked in a per-cycle economic register and presented at every 90-day readout.
Vivid operates as a fully integrated extension of your team rather than a vendor delivering artifacts. We sit inside your backlog, your standups, and your architecture decisions from day one.
Every use case ships with full high-level design documentation, an RBAC framework, architecture decision records, and deployment playbooks. The patterns produced in cycle one reduce the cost of every use case that follows.
A per-cycle economic register tracks cost, velocity, and return per use case. Each cycle builds on the governance and patterns established in prior cycles, which makes the improvement visible on a defensible economic basis.
Each cycle follows the same rhythm of use case selection, proof of concept, active development, and production release. The cadence never changes. What changes is how much cheaper and faster each cycle becomes as governance and patterns compound.
The architecture baseline is reviewed and cycle priorities are confirmed against the backlog, with use cases ranked by impact, effort, and governance readiness. The team is fully integrated and building.
The proof of concept is complete against representative data, high-level design documents are published, the initial RBAC framework configuration is in place, and the economic baseline for the cycle is established.
The production build is underway and architecture decision records are published, while the Genie and AI app deployment playbooks are refined and staff enablement materials drafted. Deployment and governance patterns are documented as they emerge.
Use cases are live in production, the per-cycle economic register is updated, and the executive readout is presented. The next cycle backlog is selected, and every cycle starts with more governance and pattern coverage than the last.
Use cases ship to production, and the documentation, governance, and patterns stay behind, so the next cycle costs less and moves faster.
Each cycle stands alone. Run one to clear the highest-value use cases, or keep cycles running as the operating rhythm for AI delivery.
High-value use cases are ranked and waiting, and internal capacity is committed elsewhere. An embedded pod clears the stack without a hiring cycle.
Use cases are shipping, but each one is architected from scratch. The HLD patterns and RBAC framework turn one-off builds into a repeatable path.
The per-cycle economic register puts cost, velocity, and ROI per use case in front of leadership at every 90-day readout.
A readiness assessment produced a roadmap, and this is the engagement that delivers against it.
Each accelerator is scoped and time-boxed, and none requires the others to deliver value. Run them in sequence and the governance and patterns compound.
A Vivid engagement that embeds a senior solutioning pod inside a client team to convert an AI backlog into production use cases in repeating 90-day cycles.
The pod is accountable for outcomes rather than hours, and every use case ships with the HLD documentation, RBAC configuration, and playbooks that lower the cost of the next one. The artifacts stay whether or not the engagement continues.
No. Each 90-day cycle stands alone and delivers production use cases on its own. Cycles compound when run in sequence, because governance patterns and templates accumulate.
In a per-cycle economic register: cost, velocity, and ROI tracked per use case, baselined at cycle start and recorded at close, then presented at the executive readout.
