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← Pricing · Fix & extend

AI FEATURE SPRINT

Add one AI feature to your product. Ship it in 3 to 6 weeks.

An agent, answers from your own documents, an automated workflow or an assistant inside your app. Built into the code you already have, tested before release and traced once it's live.

From $6,000 · Fixed scope from Week 1 · NDAs are standard

3–6 weeks

From scope to production

Week 1

Fixed scope and fixed price

71%

ZapBot booking conversion

< 90 sec

ZapBot, message to confirmed booking

WHO IT'S FOR

Teams usually book this sprint after one of these.

01

Customers keep asking for AI.

Your product works and people pay for it. Now prospects ask what your AI does, and "nothing yet" is costing you deals.

02

Your team answers the same questions all day.

Bookings, order status, how-to questions. An agent could handle most of them if it can reach the same systems your team uses.

03

Your users can't find answers in your own content.

The answer is somewhere in your docs, reports or past tickets. Search doesn't find it, and a generic chatbot makes things up.

04

You have a prototype nobody will ship.

Someone built it in a notebook or a weekend. It works on the examples it was built with, and no one knows what it costs or how often it's wrong.

PICK YOUR FEATURE

What does it cost to add AI to an existing app?

Four kinds of feature fit inside one sprint. Pick yours to see what it includes and what moves the price.

Takes actions for your users: books, updates, sends.

WHAT YOU GET

  • Conversation flow
  • Tool calls into your systems
  • Confirmation steps before anything irreversible
  • Hand-off to a human

WHAT MOVES THE PRICE

  • How many systems it touches (each integration adds scope)
  • Whether it talks to customers live or works behind the scenes
Scope my agent

Sizing honestly: ZapBot, our booking agent with live payments and CRM sync, took 3 months from kickoff to private beta. An agent that size costs well above the $6,000 starting price. Most single features are smaller, and Week 1 gives you the fixed number.

WHAT'S INCLUDED

Everything a feature needs to survive real users.

  • 01

    Week 1 scope document

    The feature, the systems it touches, the pass bar and the fixed price. Yours to keep even if you stop there.

  • 02

    The feature, in your codebase

    Built in your repo, on your cloud, following your conventions.

  • 03

    Evals before release

    A set of real test cases with a pass bar you sign off. The feature ships only when it clears it.

  • 04

    Langfuse tracing

    Every request in production is traced, so a wrong answer can be found and explained.

  • 05

    Fallbacks

    When the model provider hits a rate limit or goes down, the feature degrades the way you chose.

  • 06

    Cost cap and dashboard

    A spend limit with alerts, and cost per request you can see.

  • 07

    Released behind a flag

    A small group first, then everyone, once the numbers hold.

  • 08

    2 weeks of post-launch support

    Engineers stay on Slack after launch.

Your repo, your cloud, your IP from the first commit. Model API fees are billed to your accounts at cost.

HOW IT WORKS

Scope in Week 1. Build behind a flag. Release on evidence.

01

WEEK 1

Scope

We read your code, map the systems the feature needs and agree the pass bar with you. You get the scope document and a fixed price. You can stop here and keep it.

02

WEEKS 2–5

Build

Working software in your repo from Week 2, shown to you every week. A senior engineer reviews every line before merge.

03

LAST WEEK

Release

The feature clears its evals, goes to a small group behind a flag, then to everyone. Tracing and the cost dashboard are live from day one.

Book the Week 1 scoping callScoping call within 1–2 days. Code in your repo within 10 days of first contact.

PROOF

AI features we've shipped into live products.

71%

ZapBot

AI agent on a live booking platform

A conversational booking agent on ZapBook's live product, synced with GoHighLevel CRM. 71% booking conversion, under 90 seconds from first message to confirmed booking. It took 3 months from kickoff to private beta, which is larger than one sprint and well above the starting price.

Read the ZapBot case study →

< 4 hrs

WaterUp

Compliance reporting

An AI report builder for US water utilities with answers to compliance questions drawn from their own documents. Under 4 hours per report, from days. In beta.

Read the WaterUp case study →

< 1 hr

Prophic

Our own product

Brief in, scoped and priced proposal out. Under 1 hour per deal, down from 3 to 5 days. We run the same evals and tracing on it that we run on yours.

See Prophic on Labs →

“Arslan understood the requirements from day one and gave great advice on integrating AI into the platform.”

Founder, Local Health Marketing

PRICE

One AI feature, fixed price after Week 1, from $6,000, usually 3 to 6 weeks.

Building a whole AI product instead? AI-Native MVPs run $10K to $25K over 6 to 12 weeks.

AI SUMMARY

Ask AI for a summary of SociiLabs

Who are you?

FAQ

Questions about adding AI to your product.

Pricing starts from $6,000, and your fixed price comes out of Week 1. Prices are in USD and exclude any applicable taxes. Each system the agent connects to adds scope. A large agent with live payments and CRM sync, like ZapBot, took 3 months and costs well above the starting price.