Our AI Integration Services
AI Integration Services For Software You Already Depend On
Most AI integration work reaches us as a system that already runs the business and cannot be paused. We connect AI into it without breaking what works, then keep the connection healthy. Stallyons is a Delaware-registered US company, and every release goes out through the same review.
Triple Protection Guarantee
- US-Registered Entity
- Signed IP Assignment
- Senior Engineers Only
Triple Protection Guarantee:
- US-Registered Entity
- Signed IP Assignment
- Senior Engineers Only
Years In Business
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Engineers On Staff
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Avg. Engineer Exp.
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What We Connect
System Mapping
Before Code
API & Data Layer
Wired Once
Your Permissions
Respected
Fallback Path
If AI Fails
Rate Limits
Enforced
Data Security
Access Rules
Rollout Control
Flagged Off
Communication Rhythm
Daily Sync
Spend Limits
Per Tenant
IP Assignment
Signed
Delivery Overlap
Fixed
Hours
Code & IP Owner
You
Trusted By Startups
What AI Integration Services Actually Involve
AI integration means putting AI behaviour inside software that already exists and already has users. Nothing gets rebuilt. The work is the plumbing between your system and a model: where the call belongs in the request path, which records it may read, what happens when the provider is slow or down, who is allowed to trigger it, and what it costs per account. The hard part is never the model. It is everything the model touches.
Stallyons is registered in Delaware as a US company, and our engineers work inside a time-zone window agreed before the project starts, with four-plus hours of daily overlap. You sign a US contract, run diligence on a US entity and pay one US invoice. Behind the work sits twelve-plus years of delivery across six continents and around thirty-five engineers, averaging four-plus years of production experience. Founders, CTOs and operations leaders across North America, the UK, Europe, the Middle East and Asia-Pacific bring us the system.
What AI Integration Covers
The system before the model: we read how your application, database and integrations actually behave today, then decide where an AI call belongs. Adding one to the wrong place is how a working system starts timing out.
Your permission model, not a second one: an AI feature sees exactly what the person triggering it is already allowed to see, enforced by the same rules the rest of the application enforces.
Behaviour when the provider misbehaves: timeouts, retries with backoff, queued work and a defined fallback, so a slow model degrades one feature instead of taking the whole screen down.
Cost controls before launch: per-account limits, caching for repeated requests, and usage logged where finance can read it without asking a developer to run a query.
Rollout you can reverse: the integration ships behind a flag, goes to a subset of accounts first, and can be switched off without a deploy if something looks wrong.
A launch that does not end the engagement: monitoring, alerting on failed calls, the first round of fixes and a written handover, so the integration keeps working.
Why Companies Choose Our AI System Integration Services
- The existing system is mapped before anything is written. You approve a document showing where the AI call sits, what it reads, and what it is allowed to change.
- Permissions come from your application, not from us. Whoever triggers an AI action sees only what their existing role already lets them see, with nothing widened.
- Work lands on your board in your repository. Progress is something you read whenever you want, not something summarised at you every Friday.
- Every merge is reviewed against an agreed definition of done, and the paths where the integration touches live data are tested before anything reaches main.
- Failure behaviour is decided up front. You agree what the feature does when the provider is slow, rate-limited or unavailable, before it meets real traffic.
- Handover is written while the work happens: interfaces, decisions and runbooks, so your own team, or whoever comes after us, reads instead of guessing.
How An AI Integration Project Starts
Every project starts with a free 45-minute review session. No slide deck, no sales script. You bring the system, the constraints and what you want AI to do inside it; you leave with an approach, scope and timeline.
We are selective about new projects and cap how many we run at once, because the review is the product. If your system needs fixing before AI goes anywhere near it, we will say so first.
Why Clients Choose Us
Full
Written IP Transfer
USA
Contract Entity
Yours
Systems & Data
Named
Delivery Lead
Ready to add AI without destabilising the system?
What We Integrate AI Into
AI Integration Projects We Deliver
AI integration works when the system it joins is understood first and the failure behaviour is agreed. These are the projects we deliver most often, each with an agreed scope, an overlap window and one review standard.
Existing Web Applications
AI inside software already in use
No Rebuild
CRM & Sales Tools
Salesforce, HubSpot, Zoho, GHL
Native Fields
Support Desks
Triage, routing, suggested replies
In Queue
ERP & Back-Office Tools
Orders, stock, invoices, records
Live In Production
Data Stores
Warehouses, lakes, reporting
Read-Safe
Internal Workflows
Approvals, handoffs, reviews
Rewired
APIs & Middleware Layer
REST, GraphQL, webhooks, queues
Linked
Auth & Permissions
Existing roles enforced on every AI call
Unchanged
Cost & Rate Control
Quotas, caching, per-account caps
Predictable
Support & Maintenance
Monitoring, fixes, releases, cover
Kept Running
Not sure where AI belongs? Let's map the system first.
Common Challenges
Why Do AI Integrations Break?
Six patterns behind almost every AI integration that destabilised the system it was supposed to improve.
Bolted On The UI
01
AI gets added to a screen instead of the workflow behind it. People still export to a spreadsheet, do the real work there and paste the result back, so nothing about the process actually changed.
No Fallback Path
02
The model call sits in the main request with no timeout and no fallback. The provider slows down for ten minutes and your whole application slows with it.
Permissions Bypassed
03
The integration reads with one privileged key, so an AI answer quietly surfaces a record the person asking was never permitted to see in the first place.
Costs Run Loose
04
No quota, no cache and no per-account cap. One automated loop calls the model in a retry storm, and the bill for the month arrives in a single afternoon of traffic.
Cannot Be Turned Off
05
The feature ships to everyone at once with no flag behind it. When something goes wrong the only way back is a rollback deploy, during business hours, under pressure.
Pilot That Never Lands
06
The trial runs in a side tool nobody connected to anything. It works, everyone agrees it works, and it never reaches the system doing the real work.
Recognise the pattern? Let's wire it properly.
Our Integration Work
Six AI Integration Services We Offer
Six ways to buy AI integration from one accountable vendor. Run one, or run several in parallel under one contract.
System Integration Builds
01
AI connected into your existing application end to end: where the call sits, what it reads, how it fails and how it is switched off, with a plan you approve before any code.
CRM & Sales Systems
02
AI wired into the CRM your team already lives in, writing into native fields and respecting the record permissions your sales and service teams operate under today.
Support Desk Integration
03
Triage, routing and suggested replies inside the helpdesk you already run, with an agent approving anything a customer will actually receive.
API & Data Plumbing Work
04
The connective layer between your systems and the model: queues, webhooks, retries, caching and the interfaces that keep both sides replaceable.
Governance & Cost Caps
05
Quotas, per-account limits, caching, audit logging and usage reporting, so spend and access stay inside boundaries your business actually set.
Pilot To Production Rollout
06
The proof of concept that worked taken into the live system behind feature flags, released to a subset of accounts first, and reversible without a deploy.
Not sure which integration fits you? Let's scope it together.
Why Choose Us
What Makes Our AI Integration Services Different
The details that decide whether an AI integration survives contact with a live system.
A US Legal Entity
01
Stallyons is registered in Delaware. Your contract, your invoice and your legal recourse sit with a US company, not an unknown one.
We Read The System
02
Your system gets mapped before anything connects to it, because the fastest way to break a working application is to guess how it works.
Overlap You Set
03
You choose the hours we share with your working day, and stand-ups, reviews and escalations all happen inside that window.
Reversible By Design
04
Every integration ships behind a flag and can be switched off without a deploy, so trying it carries far less risk than living with it badly.
Reviewed Code
05
Every merge is reviewed against an agreed definition of done, on your board, where you can read it yourself.
One Contract
06
One contract covers the engagement, so procurement, legal and finance each deal with a single named counterparty.
Ready to see how we connect AI to your stack?
Our Process
From System Review To AI Integration In Six Steps
A delivery process built to find what your system cannot tolerate before anything connects.
Discovery
Read the system, data, roles and constraints
Scoping
Agree scope, milestones and cost structure
Design
Interfaces, permissions and fallbacks agreed
Contracting
NDA, IP assignment, access and onboarding
Deliver
Work on your board, reviewed on merge
Rollout & Watch
Flagged release, monitored, then widened
Want to see how this maps to your roadmap?
Technology Stack
The Stack Behind Our AI Integration Work
The integration toolchain we build with, from your existing systems out to the model and back again.
AI Providers
OpenAI Platform
Google Gemini
Anthropic Claude
Self-Hosted
Model SDKs
The Integration Layer
Node.js API
Python Services
TypeScript
Webhook
Queues & Retries
Business Systems
CRM Platforms
Support Desks
ERP & Order Systems
Zapier / n8n
Internal Admin Tools
Data & Controls
PostgreSQL DB
MongoDB Docs
Rate Limits
Caching & Quotas
Audit Log Trail
Cloud & DevOps
AWS / GCP / Azure
Docker / K8s
Terraform / IaC
GitHub Actions / CI
Alerting & Metrics
Industries We Serve
AI Integration For Industries That Cannot Stop Trading
Engineers who already know your systems, audit rules and edge cases spend month one connecting, not asking.
Fintech & Payments
Core banking, ledgers, case tools
Retail & E-Commerce
Order, catalogue and returns tools
EdTech & Learning
LMS, enrolment and student records
SaaS & Digital Products
AI inside an existing product
Logistics & Supply Chain
TMS, WMS and dispatch systems
Manufacturing & IoT
MES, maintenance and telemetry
Agencies & Consultancies
White-label integration work
We know your systems. Let's map the integration.
How We Compare
AI Integration vs AI Plugins vs Full Rebuild
An honest look at how the options compare.
| Capability | Off-The-Shelf AI Plugin | No-Code Automation | Full System Rebuild | Stallyons Technologies |
|---|---|---|---|---|
| Touches your live system | Surface level only | ✕ Sits outside it | Replaces it entirely | Connects into it |
| Existing permissions | Own user model | ✕ One shared key | Rebuilt from scratch | Your roles enforced |
| Provider outage behaviour | Feature stops | ✕ Silent failure | Depends on build | Timeout, retry, fallback |
| Spend control | Seat pricing | ✕ Per-run, uncapped | Not addressed | Quotas and per-account caps |
| Turning it off | Uninstall | ✕ Breaks the chain | ✕ No way back | Feature flag, no deploy |
| Audit trail | Vendor logs | ✕ Run history only | If specified | Logged in your system |
| Disruption to operations | Low but shallow | Low but fragile | ✕ Months of it | Staged, reversible |
| Contracting entity | Platform terms | ✕ Platform terms | Local entity | US-registered LLC |
See the difference for yourself
Complete Engagement
Everything Included In An AI Integration Project
From Scoping to Contracting to Delivery, One Vendor
Here's everything included in an AI integration project:
One AI Integration Project Price: No Hidden Fees, No Surprises.
Every integration project includes all eight components above. One contract, one senior team, one predictable cost, no vendor sprawl.
🔒 No obligation. We'll deliver a detailed proposal within 48 hours.
Plus, Get These Free Bonuses
Free Integration Map
A written read on where AI belongs inside your current systems, where it does not, and what has to be true about your data and permissions first.
Included Free
Delivery Plan & Estimate
A phased delivery plan with scope, milestones, a stack recommendation and a transparent, itemized estimate for the engagement.
Included Free
Free Readiness Check
The questions we would ask any AI integration team about permissions, failure paths, cost control and rollback, so you can test us too.
Included Free
Risk-Free Partnership
Our AI Integration Promise
We stand behind every engagement with commitments that protect your investment.
01
Scope Agreed First
Scope, model, working hours and cost structure are written down and agreed before contracting, so nothing is discovered later.
02
Built to Last
Senior developers, code review, automated tests, security and accessibility audits, and clean, documented code you fully own.
03
IP And Access Protected
NDA and IP assignment are signed before access, permissions are scoped per person, and your accounts stay under your control.
Start your AI integration with confidence, backed by our Triple Protection Guarantee.
Track Record
Engagements That Ship, Scale, and Compound
500+
Projects Delivered
29+
Service Categories
81%
Repeat Client Rate
4.9 ★
Clutch Rating
"We came to Stallyons after burning two years and four vendors on a multi-platform launch that kept slipping. They scoped it end-to-end — web app, iOS, Android, an AI summarization layer, and a Shopify integration — and shipped it in 22 weeks. One team, one budget, one quality bar. We've handed them three more engagements since."
Mark Sawyer
CEO/Founder
PlatinumLED
"Stallyons rebuilt our customer-facing portal, integrated three legacy systems, shipped an AI document analysis pipeline, and brought our compliance posture to SOC 2 — all under one engagement. The senior engineers on the team have shipped at companies five times our size. It's the best vendor decision we've made in a decade."
Mark Sawyer
CEO/Founder
PlatinumLED
FAQ
Frequently Asked AI Integration Questions
AI integration services connect AI into software you already run, rather than building a new product. The work covers reading how the current system behaves, deciding where the model call belongs, the API and data plumbing between them, permissions, rate limits, caching, failure handling, cost controls and a reversible rollout, then support once it is live. Your systems keep working, with AI behaviour added.
AI integration adds AI behaviour to systems that already exist and already have users, so the deliverable is your current software, now AI-enabled. Generative AI development builds a new product surface that was not there before, producing content someone reads, edits and keeps. The clue is usually whether users get something new to look at, or whether something they already use starts behaving differently. Projects often need both.
Cost follows the state of the system you are connecting to, so a number quoted before a review is a guess. What moves it most is how many systems are involved, whether their APIs and permissions are usable as they stand, and how much cleanup the data needs first. We review the system, then price it, and itemise each phase.
It depends on the system, and we put a timeline in writing before contracting rather than quoting a stock number. What changes the answer most is how many systems are in scope, whether the existing APIs expose what is needed, and how much data preparation comes first. We deliver against milestones you sign off, with a flagged release early.
You do, from the first commit. The NDA and IP assignment are signed before any access is granted, with no licence-back and no shared ownership. The integration code, configuration and repository live in your own accounts from day one, and nothing has to be handed back at the end.
Only where you agree it should be, and the boundary is decided during the review rather than assumed. We map exactly which fields leave your environment, keep everything else inside it, and can keep the model behind your own infrastructure where residency rules require it. The decision is written down before we build.
The feature degrades rather than the application. Calls carry timeouts and retries with backoff, longer work moves onto a queue, and an agreed fallback takes over, whether that is a cached result, the previous manual path or a clear message. Failure behaviour is decided during design, not during the outage.
Usually yes, and the review says so honestly before you commit rather than after. Where an old system exposes no usable API we work through its database, its file exports or a purpose-built adapter layer, and we keep the AI side behind an interface so the legacy platform can still be replaced later without unpicking the integration.
Still have questions? Let's talk.
Schedule an appointment with us today!
Ready To Bring AI Into Your Current Systems?
Get a free consultation. We'll review your systems, recommend where AI belongs, and send a detailed written proposal.
