AI inside the tool your team already opens
No new dashboard nobody logs into. The capability appears where the work already happens.
Can you add AI to the tools we already use? Yes. That is the job, and it does not require replacing anything.
Your team keeps the tools they know. The AI shows up inside them, doing the specific step that was eating the week, and you keep working the way you already work.
AI integration means wiring AI into the systems you already run, rather than replacing them. I connect to your CRM, database, help desk, or internal API and add the specific capability you need: drafting, classification, extraction, or routing. Typical projects run $2,000 to $5,000 over 2 to 4 weeks, with no migration and no new platform to learn.
What is this actually costing you today?
You have said some version of this
- "Every AI vendor wants us to move our data into their platform first."
- "Someone spends half their week copying information between two systems."
- "We tried a tool that did 80% of it, and the last 20% is exactly our business."
- "Our stack is old and everyone tells us that is a blocker."
What it costs while it stays unfixed
- ~$27,000/yr Ten hours a week of copy-paste work at a $52/hr loaded rate. One person, one workflow.
- A migration the cost most vendors hide: their AI only works if you move onto their platform first.
- The last 20% off-the-shelf tools cover the generic part and stop exactly where your business logic starts.
What do you actually get at the end?
A working connection to your real systems
CRM, database, help desk, internal API, or the spreadsheet that quietly runs a department. Legacy is a constraint, not a blocker.
The last 20% that is specific to you
Your categories, your rules, your edge cases. This is the part generic tools cannot do and the reason an integration beats a subscription.
Cost controls and a failure path
Token budgets, rate limits, and a defined behaviour when the model is down or wrong, so an integration cannot quietly run up a bill or corrupt a record.
Does any of this actually work?
These are my own numbers, on my own systems, with the measurement date and instrument named so you can re-run them. They are not client case studies, because I will not put a testimonial on this page before I have one worth quoting.
109,168 search impressions in 90 days from a system I built and run
Across 2,523 queries and 145 pages, on infrastructure I integrated end to end: content pipeline, schema generation, and search-console ingestion, all wired into an existing SvelteKit site rather than a new platform.
7 middleware handlers in the request chain of my own site
Integration work is mostly the unglamorous seam between systems. This site runs a seven-stage server chain I wrote and maintain, which is the same class of work an integration engagement produces.
How does this compare to the alternatives?
| This engagement | An AI SaaS product | A platform migration | |
|---|---|---|---|
| Do you replace your tools | No, AI is added to them | Yes, that is the model | |
| Typical cost | $2,000 to $5,000 once | $500 to $3,000/mo forever | |
| Time to value | 2 to 4 weeks | 3 to 9 months for a migration | |
| Handles your edge cases | Yes, that is what it is for | Generic path only, by design | |
| Where your data lives | Where it already lives | Their platform | |
| Cost if you stop paying | Nothing, you own it | You lose the capability | |
What does it cost?
$2,000 to $5,000
A single integration with one system sits near the bottom of the range. Multiple systems, a legacy database with no API, or a human review step move it toward the top. Fixed quote after scoping.
Start with a scoping call →Or email hello@chudi.dev directly.
NO DISCOVERY-CALL FUNNEL · NO RETAINER LOCK-IN · WRITTEN SCOPE BEFORE ANY INVOICE
Questions people ask before hiring me
What are AI integration services?
AI integration means adding AI capability to software you already run, instead of buying a separate AI product. In practice that is connecting a model to your CRM, database, or internal API and having it do one specific job: drafting, classifying, extracting, or routing. Your systems and your data stay where they are.
How much do AI integration services cost?
Most integrations run $2,000 to $5,000 as a one-time fixed quote. Compare that to an AI SaaS subscription at $500 to $3,000 a month, which never stops and which you do not own. A larger multi-system integration moves into the custom build range starting at $5,000.
Can you integrate AI with our existing CRM?
Usually yes. If the CRM has an API, it is straightforward. If it does not, there is normally a database, an export, or a webhook to work with. I check this during scoping and tell you before you commit, rather than discovering it in week three.
Do we have to move our data to use AI?
No, and you should be sceptical of anyone who says you do. Data movement is a vendor requirement, not a technical one. An integration reads from where your data already lives and writes back to the same place.
Our software is old. Is that a blocker for AI integration?
It is a constraint, not a blocker. Legacy systems usually expose a database, a file drop, or a scheduled export even when they have no modern API. Older stacks take longer to integrate, which shows up in the quote rather than as a surprise later.
How long does an AI integration take?
2 to 4 weeks for a scoped integration, from the call to something running against your real data. You see a working artifact at each checkpoint. The main variable is how quickly access to the target system can be arranged on your side.