AI agents and automation, built with you and tested before launch
Stratyx Ventures builds AI agents, automation, and integrations for startups, growing businesses, larger teams, and agencies. Wherever a mistake would matter, a person on your team checks the AI’s work.
AI Product Development
AI agents and AI features for your product or your customers, designed, built, and tested before launch.
- Who it’s for
- Startups building an AI product, and teams adding AI that their customers or staff will use every day.
- What it covers
- Agents that answer from approved content and cite their sources
- AI features inside web and mobile apps
- Test sets that check answers before anyone relies on them
AI Automation
Systems that take repeated work off your team, such as intake, research, drafting, and follow‑ups, with a person checking where it matters.
- Who it’s for
- Teams with work that repeats every week and follows much the same steps each time.
- What it covers
- Workflows that run across your email, CRM, and spreadsheets
- Document and order intake, checked against your rules
- Research and first drafts for a person to approve
- See it in practice
Jobs we build AI into
These are examples. Your version of each job will look a little different, so every build starts from how yours runs today.
Sales and outreach
- Today
- Someone researches each prospect by hand, writes every first message from scratch, and loses track of who replied.
- What we build
- A system that researches each account and drafts a personal first message. It sorts the replies and adds a follow-up task to your CRM.
- What a person still checks
- Each message before it is sent, and any reply the system is unsure how to sort.
Order and document intake
- Today
- Orders and forms arrive by email as PDFs and photos, each customer in its own layout, and someone retypes them into your system.
- What we build
- Each document is read and checked against rules you set, such as a known customer or totals that add up. The ones that pass are entered for you.
- What a person still checks
- A person on your team clears a short review list of anything that fails a rule or that the system is unsure about.
Answers from your own knowledge
- Today
- Staff dig through shared drives and old email threads, or ask the one colleague who knows, to answer the same questions again.
- What we build
- An assistant that answers only from documents you approve, shows where each answer came from, and is built to say when it does not know.
- What a person still checks
- Someone on your team owns the approved documents and reviews the questions the assistant could not answer.
Customer service triage
- Today
- Every message lands in one shared inbox, and someone reads each one to decide who should handle it and how soon.
- What we build
- Each incoming message is tagged by topic and urgency and sent to the right person with a draft reply from your approved answers.
- What a person still checks
- Your team sends every reply. Complaints, billing questions, and anything unusual go straight to a person.
Internal reporting and summaries
- Today
- Each week someone copies figures from several systems into a spreadsheet and writes up what changed.
- What we build
- A report that gathers the figures on a schedule and drafts a plain-language summary of what moved, with links back to the source.
- What a person still checks
- The figures come straight from your systems, and the AI writes only the summary. Whoever owns the report reads it before it goes out.
Follow-ups on quotes and open questions
- Today
- Quotes, proposals, and open questions go quiet because nobody had time to chase them.
- What we build
- Reminders that spot a quote or question that has gone quiet and draft the follow-up, with your booking link in it.
- What a person still checks
- A person approves each follow-up before it goes out.
AI Integration
AI connected to the systems you already run, like your CRM, inbox, website, and documents, so results show up where people work.
- Who it’s for
- Teams whose CRM, help desk, or shared drives hold the information AI needs.
- What it covers
- CRM, email, and website connections
- AI providers set up under business terms that exclude training on your data
- Checks on quality and cost once it is running
- See it in practice
The tools we connect to
We connect what we build to the systems your team opens every day, so the results show up where your people look.
Your CRM
Tasks and notes logged against the right customer record.
Email
Messages read and drafted in your team’s inbox.
Spreadsheets
Rows read and written in your team’s sheets.
Accounting
Orders turned into draft invoices for your finance team to approve.
Documents and shared drives
Your approved files used as the source for answers and summaries.
Your website and forms
Inquiries from your site sorted and passed to the right person.
We check how each of your tools connects before we scope the work.
Read how we handle your data, from which AI providers we use to what happens to it when the work ends.
AI Advisory
Help deciding where AI is worth building, what to build first, and how your people will run it, including workshops for your team.
- Who it’s for
- Leaders planning AI work, and teams that want training on their own workflows.
- What it covers
- An AI plan ranked by effort, cost, and value
- Reviews of the tools and vendors you are weighing
- Workshops for leaders, business teams, builders, and AI champions
- See it in practice
The Workflow Review starts with one job
The Workflow Review starts with the job you bring us: how it runs today and what it would take. AI Advisory looks across your whole company.
What we look at
- How often the job happens, who does it, and how long it takes them
- Where the information comes from, and where it needs to end up
- What a mistake would cost, and who would catch it
- Who on your team will own it once it is running
What you come away with
- A map of how the job runs today and where AI fits
- A written scope for a first project, including what a person still checks
The Workflow Review has a fixed scope. It covers the Understand stage of how a project runs.
We tell you up front whose time we need and what for: walking us through the job as it runs today, and reading the draft scope with us.
Start with a Workflow Review: about two weeks for $2,500, credited toward the first project if you go ahead within 60 days. The first call is free.
Workshops for your team
We train your people on their own work, with a track for each role, so they can use, check, and improve what gets built.
Team workshop: from $2,500. A half-day remote session. On-site days are quoted separately.
Leaders
Decide where AI is worth the effort in your company and set the ground rules for using it.
Business teams
Use AI on the tasks you already do, and check what it gives back before anything goes out.
Builders
Build and test AI tools on your own systems, then keep them working as the models change.
AI champions
Help colleagues get started, and keep good habits going after the workshop ends.
How a project runs
You see a working version early, and your people learn the system while it is being built.
Understand
We map how the job runs today and what it costs, then mark where AI can help.
You get a map of how the job runs today and a written scope for a first project.
Build
We build a working version with your team and test it on real cases. A person reviews its work where a mistake would matter.
You get a working system with quality checks.
Enable
We write down how it works and train the people who use it. Who owns what is agreed in writing.
You get a written guide and team training.
Improve
You can keep going on a monthly AI retainer after launch.
You get a monthly priorities review, improvements to what we built, and monitoring and fixes.
What it costs
You start with a Workflow Review, which ends with a fixed quote for your first project.
| Service | Price | Details |
|---|---|---|
| Workflow Review | $2,500 | About two weeks, credited toward the first project if you go ahead within 60 days. |
| AI automation or agent project | From $7,500 | Typically 3 to 6 weeks. |
| Monthly AI retainer | From $3,000 a month | Includes a monthly priorities review, improvements to what we built, and monitoring and fixes. |
| Team workshop | From $2,500 | A half‑day remote session. On‑site days are quoted separately. |
Prices in US dollars, as of September 2026.
Example: a 25‑person heating and cooling company
A website assistant that answers after‑hours questions and passes quote requests to the office.
Typically $7,500 to $12,000, about 4 weeks.
Tell us what you want to build with AI
Book a short call about the product, the job, or the system you have in mind, or send us a message first.