AI implementation and automation

Your team already has AI. We make it do the work.

Everyone has access to ChatGPT, Claude and Gemini. Very few companies have AI doing real work inside their systems. We pick the workflows worth automating, connect AI to your tools and data, test it against real cases and put it live, at a fixed price.

AI agent setup
from from $1.5k
AI audit
$3.5k – $10k
Timeline
2–4 weeks per workflow
Live AI products
7 shipped

Who it’s built for.

  • Operations teams buried in email, documents, data entry and follow-ups
  • Sales and support teams answering the same questions every day
  • Leaders asked for an AI plan who want results, not a slide deck
  • Companies whose AI pilot never made it into daily use

Access isn’t the problem. Implementation is.

In 2026 the biggest AI companies started moving into implementation themselves. Anthropic launched an enterprise AI services firm with Blackstone, Hellman & Friedman and Goldman Sachs, and OpenAI set up a deployment company backed by more than $4 billion. The reason is simple: companies have the models, but someone still has to decide which workflows change, where the data lives, how the systems connect, and how to get people to use it.

Those firms serve large enterprises. We do the same work for growing companies: one workflow at a time, with a fixed price, a test set that proves it works, and monitoring once it is live.

What’s included

In scope

  • Workflow review to find where AI saves the most time or money
  • AI agents that act in your email, CRM, help desk, calendar and documents
  • Chatbots and voice agents grounded in your own content
  • Document and data extraction into your systems
  • Test sets, guardrails, cost limits and monitoring
  • Training your team and handing over documentation

Available as add-ons

  • Model and API usage costs, which you pay the provider directly
  • Company-wide AI training programmes
  • Training foundation models from scratch

How it runs, week by week.

Week 1

Pick the workflow

We time the work, check the data, and agree what “working” means in numbers.

Week 1

Build the test set

Real examples with the right answers, so quality is measured before launch.

Weeks 2–3

Build and connect

The agent or automation built, connected to your tools and scored against the test set.

Week 4

Live

Rolled out to your team with monitoring, cost limits and a person in the loop where needed.

AI implementation pricing

Prices in US dollars.

AI agent in one workflow from $1.5k Setup, then optional monthly support.
AI readiness audit $3.5k – $10k Ranked use cases with cost and return.
AI feature in your product $5k – $8k Built into your app, with tests.
What moves the price
FactorEffect on price
Actions in other toolsAdds $1,000 – $3,000
Your own data pipelineAdds $1,000 – $3,000
Voice instead of textAdds $1,500 – $4,000
Extra languagesAdds $500 – $1,500 each

Paid in milestones: 50% to start, 40% when you can use it on staging, 10% at launch (40/40/20 on larger projects). Prices are set for each market, not converted at the day’s exchange rate.

Your options, side by side.

Big consultancyAutomation freelancerDoing it in-housev1build
What you getA strategy and a pilotZaps and scriptsWhatever your team has time forA workflow running in production
PricingDay rates, high minimumsHourlySalariesFixed per workflow
Proof it worksA demoIt ran onceVariesA test set scored before launch
After launchA new statement of workIf they are availableYour teamMonitoring and optional monthly support

Questions, answered.

What does AI implementation cost?

An AI agent for one workflow has a fixed setup price, shown above in your currency, plus model usage you pay the provider directly. An audit to choose the right workflows is also fixed.

Are you an AI automation agency?

In a way, but we go further than connecting tools. Every workflow has a test set, guardrails and monitoring, and we build custom software when an off-the-shelf automation tool can’t do the job.

Which AI models do you use?

Whichever fits on quality, cost and data rules, including models from Anthropic, OpenAI and Google, or open models in your own cloud.

Is our data safe?

We use provider settings that exclude your data from training, keep sensitive data in your accounts where possible, and sign an NDA before discovery.

How do we know it works?

We build a test set of real cases before building anything, report the score before launch, and monitor it once live.

Your v1 could be live next month.

Tell us what you are building. Get a fixed scope and price in writing within 24 hours.

Prefer email? hello@v1build.com