The sprint delivery model

What is an AI sprint?

A fixed-scope, fixed-price engagement where a full delivery team builds a working AI system in 14 calendar days. You know the cost, the timeline, and the deliverable before work begins. Every sprint ships something you can use immediately.

The problem

How AI projects usually go wrong

Most AI projects start with a discovery phase. The agency spends 4-6 weeks learning your business, producing a strategy document, and scoping a Statement of Work. That phase alone costs $15,000-$30,000 at most firms.

Then the build begins. Monthly billing. Vague timelines. "We're making progress" updates with no working software to show. Three months in, you've spent $50,000 or more, and the system is still in a staging environment that nobody on your team has touched.

Scope creep sets in. The original 8-week estimate becomes 14 weeks. The budget doubles. And if you pull the plug halfway through, you have nothing usable to show for it.

The problem is the model, not the people. Open-ended engagements with monthly billing create zero pressure to ship. There is no forcing function that says: something working has to be in production by this date.

That is the problem the AI sprint model solves.

The model

How an AI sprint works

Four things are fixed before the sprint starts. No ambiguity, no scope creep, no surprises on the invoice.

Fixed scope

Sprint goal defined upfront

You approve the exact deliverable before we write a line of code. "Build a voice agent that screens candidates" or "Automate outbound email from prospect research to send." Clear enough that both sides know when it is done.

Fixed team

PM + senior dev + QA

Every sprint includes a project manager, a senior developer, and QA. Designer added when the project calls for it. This is a delivery team, not a solo freelancer.

Fixed timeline

14 calendar days

The sprint starts and ends on specific dates. No extensions, no "just one more week." The constraint forces prioritization and prevents scope from expanding mid-build.

Fixed price

$3K or $16K

Startup sprint: $3,000. Enterprise sprint (with our DOOR3 partnership): $16,000. The price you agree to is the price you pay. No change orders, no overages.

Day 0

Scope call

30 minutes. We define the sprint goal, confirm your tech stack, and agree on the deliverable. You know exactly what you are paying for.

Days 1-5

Build + mid-sprint review

The team builds. On Day 5, you see the system working and give feedback. This is a live demo, not a slide deck.

Days 6-13

Build + QA

Remaining features built, tested, and hardened. Slack updates keep you in the loop. Documentation written alongside the code.

Day 14

Handoff

Working system in production. Full documentation. You own everything. Your team can maintain and extend it without us.

Delivery discipline

One sprint or many. You decide after each one.

Some projects ship in a single sprint. A voice screening agent that interviews candidates. An automated outbound email system. A content production pipeline. These have clear scope, and 14 days is enough.

Bigger projects take 2, 3, or 4 sprints. A retail operations engine that connects inventory, pricing, and fulfillment across 5 systems. A full SaaS product with user auth, dashboards, and integrations. That is fine.

The difference from a traditional engagement: each sprint has its own goal and ships its own working deliverable. Sprint 1 does not produce "progress" that only makes sense when Sprint 3 finishes. Sprint 1 produces something you can use on Day 15.

And you are never locked in. After any sprint, you can pause, adjust direction, or stop entirely. No contracts, no retainers, no "but we're halfway through the project" pressure.

Sprint 1

Inventory sync engine

Connects Shopify, warehouse system, and POS. Real-time stock levels across all channels. Working on Day 14.

Sprint 2

Pricing automation

AI-driven repricing based on inventory levels, competitor data, and margin targets. Runs daily, no manual input.

Sprint 3 (optional)

Operations dashboard

Real-time dashboard pulling from Sprint 1 and 2 systems. Revenue, inventory, margin, all in one view. Customer decides whether to proceed.

Every sprint

What you get at the end of every sprint

Working system in production

Running on your infrastructure, connected to your tools, handling real data. Not a prototype sitting in staging.

Full documentation

How the system works, how to modify it, what each component does. Written for your team, not for developers who already know the codebase.

You own everything

Code, workflows, configurations, data. No vendor lock-in, no proprietary platform you are stuck paying for, no "managed service" upsell.

Real handoff

Your team can maintain and extend the system without Calyber. Handoff means handoff, not "Phase 1 complete, let's discuss Phase 2 pricing."

How it compares

Sprint vs. retainer vs. in-house hire

AI Sprint
$3,000 per sprint (startup tier)
Working system in 14 days
Full team: PM, senior dev, QA
You own all code and workflows
No lock-in, stop anytime
Mid-sprint review on Day 5

90-day cost for 2 sprints: $6,000
Agency retainer
$10,000-$25,000 per month
3-6 months to first working delivery
Discovery phase costs $15K-$30K alone
Monthly billing with vague milestones
Ongoing dependency on the agency
Scope creep is the business model

90-day cost: $30,000-$75,000
In-house AI engineer
$150,000+ annual salary (US market)
3-6 month ramp to productivity
Single point of failure
No PM, no QA, no design support
Recruiting alone takes 2-3 months
If they leave, you start over

90-day cost: ~$37,500+ (salary only)
Sprint projects

What kinds of projects fit the sprint model?

If the outcome can be scoped clearly and the deliverable is a working system, it fits. Here are projects we have shipped in sprints:

HR candidate screening Sales outreach automation Content production pipelines Retail operations + dashboards
Also: custom AI agents, internal tools, SaaS product builds, multi-system integrations, data pipelines, and voice AI. If you can describe the outcome, we can scope the sprint.
Common questions

AI sprint FAQ

That is normal. We break it into multiple sprints, each with its own goal and working deliverable. A retail operations engine might take 3 sprints. An HR screening agent ships in 1. Either way, you get something usable every 14 days, and you are never locked into the next sprint.
Nothing billable. You review what was built, your team starts using it, and we scope the next sprint together if you want to continue. There is no retainer, no holding fee, no maintenance phase between sprints.
Access to your systems (APIs, logins, data sources) and 30 minutes for the scope call. We handle the rest: build, QA, documentation, and handoff.
n8n for automation orchestration, plus whatever fits the project: Python, Node.js, various AI models, your existing tools. We are not locked to one stack and we do not force you into ours.
Yes. You get a mid-sprint review on Day 5 where you see the system working. Slack updates throughout keep you in the loop. No surprises on Day 14.
The sprint goal is defined and approved by you before work begins. The mid-sprint review on Day 5 catches misalignment early. We have never had a sprint where the final deliverable did not match what was scoped, because we confirm scope upfront and check in midway.
If you can describe the outcome you want ("I need an AI system that screens candidates by phone" or "I need automated outbound email"), it is a sprint. If you are still figuring out what you need, start with a scope call. It is free, takes 30 minutes, and we will tell you honestly whether a sprint is the right fit.

See if your project fits a sprint.

30-minute scope call. We will map your project, tell you how many sprints it would take, and give you a fixed price. No commitment, no sales pitch.

Get your sprint scoped