Focus delivery on how your business actually operates. Process discovery brings decision logic, data dependencies, and workflow constraints into the specifications before development begins.
Gain a dedicated AI team that combines senior engineers and specialized AI agents to advance your AI, automation, and modernization priorities. Ramp up in just two weeks and start moving priority work toward production.
Your business expects AI investments to produce visible results. Yet identifying the right opportunities, integrating solutions into existing systems, and maintaining governance all compete for the same limited engineering capacity.
AI Squads give you an AI-enhanced engineering team that owns the execution of your high-value work. You gain a stable team of software engineers, data and AI experts, product specialists, and senior consultants supported by AI-enabled workflows and clear human accountability.
Each engagement defines the priority work, roadmap, timeline, and success measures upfront. You define the outcomes you need, while KMS manages the blend of human expertise and AI execution required to deliver them.
Focus delivery on how your business actually operates. Process discovery brings decision logic, data dependencies, and workflow constraints into the specifications before development begins.
Maintain control as delivery accelerates, with human oversight, security checks, and approval gates embedded throughout the work. Gain clear visibility into how work progresses.
Your investment is tied to defined deliverables, with clear criteria for completion. AI productivity gains translate into business value without adding unproven costs.
Reduce the coordination burden across tools and teams. VELOX, our AI orchestration tool, manages human and agent execution to preserve shared context and traceability as work progresses.
Each milestone has a defined deliverable and acceptance point – from a validated specification, through a working MVP, to a production-ready solution. Documentation and reusable delivery assets are captured throughout.
Gain a prioritized use case, process map, and value case grounded in your business needs. Clear requirements, acceptance criteria, and technical specifications give your stakeholders and delivery team a shared definition of success.
Evaluate an MVP against agreed criteria before progressing toward production. Short delivery cycles give you opportunities to review functionality, test assumptions, and refine the solution with stakeholder feedback.
Receive the agreed application, agent, automation, or modernization outcome with integration, testing, and governance controls completed for its scope. Production acceptance is tied to defined requirements and readiness criteria.
You own the work products created for your engagement, including documentation, specifications, reusable patterns, and delivery playbooks. Knowledge transfer helps your team maintain what was built and reuse proven approaches in future work.
Your first AI Squad engagement often becomes the foundation for a broader AI program. As your demand grows, you can add new workstreams to gain greater AI value.
Move your priority AI opportunities into production with a human and agent team that owns delivery, builds in governance, and leaves you with assets that accelerate everything that follows.
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