AI Orchestration
Sprint

Every sprint delivers four things: a production system deployed in your infrastructure, a security and guardrails layer with human-in-the-loop approval gates, a full observability suite covering cost tracking, latency, accuracy evals, and drift detection, and a complete knowledge transfer package including architecture docs, runbooks, and walkthrough sessions. Week 1 is architecture and spec, Week 2 is core implementation, Week 3 is integration and review, and Week 4 is deployment and handoff. You get a working system — not a slide deck or proof of concept.

We scope the engagement during an intro call and define exactly what ships. You get a fixed price based on scope — a 1-week Production-Readiness Audit is $10K, the flagship 4-week Orchestration Sprint is $25K, and larger 6–8 week Scale builds start at $50K. No hourly billing, no timesheets, no surprise invoices. The price is locked before we write a line of code, so you know exactly what you’re paying for and what you’re getting.

The architecture spec in Week 1 defines clear acceptance criteria and boundaries. If new requirements surface mid-sprint, we evaluate them against the spec. Minor adjustments that fit within the agreed scope are handled in stride. Material changes that expand scope get documented and scoped as a follow-up sprint. This discipline is what makes fixed-price work — every engagement delivers a complete, working system rather than a partial build that needs more time.

You receive the full production codebase deployed in your environment, infrastructure-as-code and CI/CD pipelines, monitoring and alerting dashboards, confidence thresholds and escalation paths for every AI decision, architecture documentation covering system design and data flows, operational runbooks for troubleshooting and maintenance, and recorded walkthrough sessions for your engineering team. Everything follows a BYOK model — you own all code, credentials, and infrastructure with zero vendor lock-in.

Three layers. First, the Week 1 architecture spec locks in the technical approach, stack decisions, and acceptance criteria before implementation begins. Second, AI agents implement against the spec with type-safe architectures, automated testing, and continuous integration from day one. Third, Week 3 is dedicated to SRE-grade review — end-to-end testing, security audit, and production-readiness validation against your infrastructure. Every system ships with observability built in so your team can monitor accuracy, cost, and performance from the first day in production.