Generative AI consulting
Generative AI consulting where the consultant writes the code
We spend week one deciding which generative AI use case is worth building and how. In week two the same engineer ships the first working version inside your tools.
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Quick answer
AY Automate provides generative AI consulting: a use case roadmap locked in the first week, then an embedded engineer who builds the first LLM system, runs it in production and maintains it. Typical timeline: live in 10 days, not 10 weeks. From $3K a month.
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What it is
What generative AI consulting covers here
Most teams already have a list of things they want ChatGPT or Claude to do. The hard questions come after the list: which item pays back first, what data the model may see, whether it needs retrieval, an agent or a plain prompt, and who keeps it running once the pilot ends.
Our consulting answers those questions in the first week and writes them down as a roadmap. Then an engineer from our team embeds in your Slack, gets repo access and builds the top item. The person who scoped the work is the person who ships it, so the roadmap only contains things we can build.
After launch we stay on. The same monthly engagement covers tuning, new use cases and maintenance on everything we shipped. If you only need the build without the consulting phase, our generative AI development page covers that.
Fit check
Is this the right fit?
Where this wins
Teams with a long AI wish list and no order
Week one turns the list into a ranked roadmap with the first build chosen.
Companies whose pilot never left the demo
We rebuild the pilot with logging, evals on your real examples and an owner on your side.
Leaders who want advice from people who build
Model choice, retrieval design and data access decided by the engineer who will write the code.
When NOT to use this
- You want a strategy report and no build. We are worth paying for the system that runs afterwards.
- You need a large change programme across thousands of employees in one step. We start with one system and expand where it works.
- Your use case is classic machine learning on tabular data, such as demand forecasting. We build with large language models and agents.
How it works
How a generative AI consulting engagement runs
Four stages, each ending with something you can review.
- 01
Design
Week 1We audit your stack and decide what runs as an agent, what runs as an n8n workflow and what stays manual.
DeliverableRoadmap locked in week one
- 02
Build
Week 2The engineer embeds in your Slack, gets repo access and builds the top roadmap item against your real examples.
DeliverableFirst working automation in week two
- 03
Launch
Release with logging, permissions and a person in the loop where a wrong answer would cost money.
DeliverableSystem in production
- 04
Operate
Weekly tuning, new use cases from the roadmap and performance dashboards.
DeliverableRunning system and next items shipped
Typical timeline
Live in 10 days, not 10 weeks.
Stack we build with
Claude · OpenAI · Anthropic SDK · n8n · TypeScript · Python · PostgreSQL · MCP
Not sure which use case comes first?
Bring the list. On a free 30 minute call we rank it and say which item we would build first.
Use cases
Where generative AI work usually starts
Document reading and summaries
Contracts, invoices and forms read and summarised in the language they arrive in.
Inbound calls and leads
An AI that answers and qualifies more inbound requests than the team can handle by hand.
Internal knowledge assistants
Answers grounded in your own documents, with sources shown and access limited per person.
Sales research and CRM updates
Agents that research prospects before a call and write the notes back to the CRM.
First 30 days
Your first 30 days
A roadmap in week one and a working system before the month is out.
Week 1
Roadmap
Use cases ranked, the first build chosen, and the data and access rules written down.
Week 2
First working version
The engineer ships the first automation inside your tools, tested on your own examples.
Week 3 to 4
Production and tuning
Logging and review steps in place, real use measured, the next roadmap item started.
Scope
What is in scope
In scope
- Use case interviews and a ranked generative AI roadmap
- Model, retrieval and agent architecture decisions
- Data access and logging rules for what the model may read and change
- The first production system, built by an embedded engineer
- Monitoring, tuning and maintenance on everything we ship
Not in scope
- Training foundation models from scratch
- Compliance certifications or attestations on your behalf
- Savings figures promised before a system has run
Results
What we have built and advised on
Results as published on our case studies page. Clients that have not agreed to be named are described instead.
Built the platform from the ground up in under a month. Documents are read, understood and summarised automatically in whichever language they arrive in: Arabic, French or Darija.
Advised on AI adoption strategy directly and placed an embedded AI engineer inside the team.
Electronic invoicing and subcontractor VAT compliance automated end to end, and an AI that answers far more inbound calls and leads than the team could handle manually.
A full-time embedded engineer placed inside the team, signed and running since July 2026.
Pricing
How this is priced
One price to start. No project scope and no fixed term.
Monthly partnership
From $3K a month
An engineer on your account, the first system in production, monitoring and maintenance on everything we ship. Cancel anytime, with a 90-day replacement guarantee.
Next step
Start with one system that runs
Book a call. If we start, the roadmap is locked in week one and the first working version ships in week two.
Book a free audit callFree 30-min call. No pitch, no slides.
Free automation audit
Find what to automate first, and how AI sees you
We read your homepage, detect your tools, and check your Google rankings and AI Overview. You get a score out of 100. Add a work email to unlock automation opportunities matched to your stack.
Use Claude Code, Cursor or Codex? Paste this into your agent
Fetch https://www.ayautomate.com/SKILL.md and follow it: read my repo or website, pick the 2 to 3 manual loops worth automating first, and give me the booking link.
Get your generative AI roadmap in week one
A 30 minute call. Bring your list of AI ideas and we tell you which one we would build first and why.
Book a 30min Free Strategy Call
In this call, we'll walk through your project scope, timeline, and goals - so we can both check if we're a fit. No obligation, no slide deck, just a working session.
Don't want a call? Email walid@ayautomate.com
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COO, Adstronaut.io
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FAQ
Generative AI consulting questions
What do generative AI consulting services include?+
Picking the use cases worth building, choosing the model and architecture, setting rules for what data the model may use, and planning how the system is tested and maintained. Our engagements also include the build: the engineer who writes the roadmap ships the first system.
How fast will something be running?+
The roadmap is locked in week one and the engineer ships the first working automation in week two. Larger systems with several integrations take longer, and we tell you that in week one.
What does generative AI consulting cost?+
From $3K a month. That covers an engineer on your account, the first system in production, and monitoring and maintenance on everything we ship. You can cancel anytime, and the 90-day replacement guarantee applies if the engineer is not the right fit.
Which models do you use?+
Mostly Claude and OpenAI models, chosen per use case after testing on your own examples. Workflows that need scheduling or many integrations run on n8n.
Can you work with our data security rules?+
Yes. We decide with your team what the model may read and change, log what it does and add a human review step where a wrong answer is costly. We do not claim certifications we cannot show.
How is this different from your generative AI development service?+
Consulting starts with the week-one roadmap because you have not yet decided what to build. Development is for teams that already know the system they want.
Still have a question? Ask it on a call.
Book a free 30-min call