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AI integration services
AI integration that writes to your systems of record without breaking them
The model is the small part. The work is reading from and writing to your CRM, ERP, support desk and databases safely, with the right credentials, retries when an API fails, and a log of what changed. We build that layer.
- Scoped credentials
- Retries and idempotency
- Logged writes
Trusted by teams at
What AI integration services include
An integration has three jobs. Get the right data to the model at the right moment. Take the model's output and turn it into a valid change in a system of record. And survive the ordinary failures: rate limits, timeouts, schema changes and duplicate events.
We use existing APIs, webhooks and exports where they exist. When an integration touches customer or financial records, writes go through validation and are logged, so a bad output produces a rejected write instead of a corrupt record.
We also put results where people already work. An AI feature inside the existing product gets used. One in a separate dashboard often does not.
Where this wins
Sales teams losing hours to research and CRM upkeep
Agents prepare accounts, update records and score leads before the call.
Existing products that need AI features
We add personalization, segmentation or matching inside the live product without a rebuild.
Teams with several disconnected systems
Inquiries, documents or records scattered across tools that need one tracked flow.
When NOT to use this
- · The system you want to connect has no API, export or database access. We will tell you what a workaround costs before building.
- · You want one more standalone AI tool. Integration is about existing workflows, not new destinations.
- · Data cannot leave a boundary and no approved model route exists. We resolve that first.
How an integration project runs
Read access first, writes second, and nothing writes to production until it has run on samples.
01
Systems and access map
Week 1List each system, its API, who owns credentials and what the AI may read and write.
DeliverableIntegration map and access plan
02
Read path
Week 1 to 3Pull the right data into the model with the right context, in a sandbox first.
DeliverableWorking read integration
03
Write path with validation
Week 3 to 5Turn outputs into valid changes with schema checks, approvals where needed and logging.
DeliverableValidated write integration
04
Failure testing
Week 5 to 6Simulate timeouts, duplicates and bad outputs and confirm the system recovers.
DeliverableFailure test results
05
Go live and monitor
Release with alerting and a runbook, then review the first weeks of logs.
DeliverableLive integration and monitoring
Typical timeline
Two to six weeks per integration, scoped after the audit call
Stack we build with
n8n · TypeScript · Python · Claude · OpenAI · PostgreSQL · Supabase · Webhooks
Integrations we build most
CRM enrichment and updates
Records updated and leads scored automatically from research and call data.
Support desk automation
Requests classified, answered or routed with context attached.
Inquiry to booking tracking
Multilingual inquiries scored and followed up, tracked in one place.
What you have after 30 days
A working read path and a validated write plan, tested on samples.
Week 1
Integration map
Every system, API and credential owner listed, with what the AI may read and write.
Week 2 to 3
Read integration
The right data reaching the model in a sandbox, with the context it needs.
Week 4
Validated writes
Outputs turned into schema-checked changes on sample data, with logging.
Day 30
Failure test report
Timeouts, duplicates and bad outputs simulated, with fixes noted.
Scope and exclusions
In scope
- · Connectors to CRM, ERP, support, database and internal APIs
- · Credential scoping, validation of every write and audit logging
- · Retries, idempotency and error alerts
- · AI steps for extraction, classification, drafting or matching
Not in scope
- · Replacing or migrating your CRM or ERP
- · Custom development inside vendor platforms that forbid it
- · Integrations with systems that offer no programmatic access
- · Data warehouse or BI programme build-outs
Results from comparable work
Achieved results only. Clients that have not agreed to be named are described instead.
Portless, ecommerce fulfillment
Agents do pre-call research, update the CRM and score leads automatically. Research time per prospect dropped and the sales team's conversion rate went up.
A loyalty platform with large retail and consumer-brand clients
Two engineers shipped personalization, segmentation and churn prediction inside the live product, and left an architecture that lets new AI features keep shipping without a rebuild.
A dental tourism healthcare group
Inquiries from several countries and languages are now scored and followed up automatically in the right language, with the full journey from inquiry to treatment tracked in one place.
How this is priced
We do not sell fixed packages sight unseen. The number depends on how many systems the work touches, and the audit call tells you that number before you commit to anything.
Single workflow
Low four figures
One focused workflow live in one to two weeks, with error handling, retries and monitoring built in from day one.
Full system
Scoped after an audit call
AI steps, monitoring and integrations across several systems, typically four to eight weeks. No template price, because scope drives the cost.
Embedded engineer
From $60,000/year
A dedicated engineer building and maintaining the work inside your team, instead of a scoped project.
Book a free audit call
List the systems you want connected
A 30 minute call. We look at your systems and tell you what the integration touches, what can break and what it would take.
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
Opportunity Map
Implementation Path
Fast Follow-Up
“The team is super fast - sometimes we had to slow them down. We managed to scale the company without investing into hiring.”
Elie Salame
COO, Adstronaut.io
Video Call
Phone Call
In-Person
We've created products featured in
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30min
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No commitment required
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FAQ
AI integration questions
Can AI write directly into our CRM or ERP?+
Yes, through validated writes. Every change is checked against the schema and logged, and risky changes can wait for a person. A bad model output becomes a rejected write, not a corrupt record.
Do you use n8n or custom code?+
Both. n8n covers many integrations quickly, see our n8n agency page. Custom code fits tight security or heavy logic. The choice depends on maintenance cost and your team.
What if an API changes or fails?+
Retries, idempotency keys and alerts handle the ordinary failures. Schema changes show up as alerts, and a maintenance plan means someone fixes them.
What does it cost?+
A single focused integration starts in the low four figures. Multi-system builds are scoped after an audit call.
Which models do you use?+
Claude and OpenAI models mostly, chosen per task. Where data cannot leave a boundary, we design around the route your security team approves.