Fixed scope sprint. Typical duration: 3 weeks
For leadership teams that need to align AI strategy, redesign workflows, define ownership, and prepare the organization for adoption. This sprint prioritizes high value opportunities, clarifies ROI, maps the operating model changes required, and gives your team a practical transformation roadmap.
Learn moreFixed scope sprint. Typical duration: 3 weeks
For teams with a clear AI use case that need the technical design before build. This sprint defines system architecture, model strategy, context and retrieval design, guardrails, evaluation approach, and implementation sequencing so engineering can move fast without guesswork.
Learn moreFixed scope sprint. Typical duration: 4 weeks
For teams that already have a promising AI use case but need a governed path into production. This sprint turns experimentation into a delivery plan with clear controls, evaluation, and deployment steps.
Learn moreFixed scope sprint. Typical duration: 3 weeks
For organizations that want their teams to become more proficient with AI in daily work. We deliver instructor led training, hands on building, and real outcomes through role based sessions, practical exercises with the tools your team already uses, and an enablement plan so the skills stick after the engagement ends.
Learn more“"They helped us quickly identify the right modernization priorities and left us with a practical plan we could act on immediately."”
Additional focused engagements
These focused engagements are a strong fit for teams modernizing databases and analytics, improving cloud efficiency, or restructuring application code with real adoption in mind.
Fixed scope sprint. Typical duration: 3 weeks
For teams running aging database workloads that are expensive to maintain, difficult to scale, or hard to connect with modern analytics and AI use cases. This engagement helps define the right migration path, target architecture, and delivery sequence.
Learn moreFixed scope sprint. Typical duration: 2 weeks
For teams seeing rising cloud spend, unclear usage patterns, or workloads that are underperforming. This engagement identifies where cost, performance, and governance can improve without slowing delivery.
Learn moreFixed scope sprint. Typical duration: 2 to 4 weeks
For teams that need cleaner reporting, better performance, and a more scalable analytics foundation. This sprint clarifies what to migrate, what to optimize, and what to retire across your data warehouse, BI, and reporting environment.
Learn moreFixed scope sprint. Typical duration: 2 weeks
For teams planning language migrations, version upgrades, or strategic codebase restructuring. This sprint defines the migration path, risk areas, and delivery sequence needed to modernize safely without stalling product work.
Learn moreCommon questions about how our fixed scope sprints work and which one fits your team best.
A sprint is a focused engagement with a defined scope, a clear duration, and a specific output. You leave with decisions, architecture, priorities, or a delivery plan rather than an open ended consulting phase.
We keep them predefined so you can choose faster, scope them clearly, and start without a long discovery cycle. That structure also makes outcomes more predictable for both your team and ours.
AI Operating Model Sprint is for leaders aligning strategy, workflows, ownership, and adoption. AI Systems Architecture Sprint is for product and engineering teams that already know what they want to build and need the technical blueprint before implementation.
AI Systems Architecture Sprint is for teams that need the technical blueprint before they build. AI Pilot to Production is for teams that already have a promising use case or pilot and now need the governed path into production.
Every sprint ends with a concrete output. Depending on the engagement, that can include a roadmap, architecture blueprint, priorities, governance decisions, delivery sequencing, or a practical implementation plan your team can act on immediately.
Yes. We can continue into implementation, production delivery, optimization, or team enablement after the sprint. If you prefer, we can also hand everything off cleanly to your internal team or existing partners.
