4-Week Fixed Scope

AI Orchestration
Sprint

Production-ready AI systems delivered in 4-week fixed-scope engagements. Architecture, implementation, and deployment — no prototypes, no pilots.

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What You Get

Every sprint delivers a complete, production-grade AI system — not a proof of concept. Four deliverables, every engagement.

Production System

Deployed, monitored AI pipeline running in your infrastructure. Not a prototype — a system your team operates from day one.

Security & Guardrails

Human-in-the-loop approval gates, confidence thresholds, and escalation paths. Every AI output passes structured review.

Observability Suite

Cost tracking, latency monitoring, accuracy evals, and drift detection. Full telemetry for every agent run.

Knowledge Transfer

Architecture docs, runbooks, and walkthrough sessions. Your team owns the system — no vendor dependency, no black boxes.

Scope

Fixed scope means clarity. Here’s exactly what’s in and what’s out so there are no surprises.

Included

  • Architecture & technical spec
  • Agentic workflow implementation
  • API integrations (BYOK)
  • Human-in-the-loop guardrails
  • Observability & eval suite
  • Production deployment
  • Monitoring & alerting setup
  • Knowledge transfer & runbooks

Not Included

  • Ongoing maintenance contracts
  • Model training or fine-tuning
  • Data labeling or annotation
  • Hardware or GPU provisioning

Pricing

Simple, transparent pricing. Two tiers based on system complexity. No hourly billing, no scope creep.

Single Pipeline

One focused AI workflow

$5Kfixed
  • Single agentic workflow
  • Up to 3 API integrations
  • Basic observability
  • Production deployment
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Most Common

Multi-Agent System

Orchestrated pipeline with multiple agents

$5K–$15Kfixed
  • Multi-agent orchestration
  • Unlimited integrations
  • Full observability & evals
  • Human-in-the-loop guardrails
  • Extended knowledge transfer
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4-Week Cadence

Every sprint follows the same disciplined loop. Predictable milestones, clear handoffs, zero ambiguity.

Week 1

Architecture & Spec

Map existing systems, define integration points, write the technical spec. Clear acceptance criteria before code.

Week 2

Core Implementation

AI agents implement against the spec. Type-safe architectures, automated testing, continuous integration from day one.

Week 3

Integration & Review

Connect to your systems, run end-to-end tests, SRE review for correctness, security, and production-readiness.

Week 4

Deploy & Handoff

Production deployment with monitoring, runbooks, and knowledge transfer. Your team takes ownership.

Frequently Asked Questions

Common questions about how the AI Orchestration Sprint works.

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 system complexity — single pipeline engagements start at $5K, and multi-agent orchestration systems range from $5K to $15K. 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.

Ready to Ship?

Stop accumulating AI prototypes that never reach production. Book a 10-minute intro call and we’ll scope your first sprint.

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