Architecture
Design secure, low-latency API architectures that connect your systems natively and reliably.
Data Sync
Establish bi-directional, real-time data flow between your AI models and core business tools.
Security
Enforce enterprise-grade authentication and encryption for every single API transaction.
Resiliency
Build fault-tolerant connections that handle third-party downtime without any data loss.
How Custom Integrations Work
Every integration follows the same production-grade architecture pattern: your AI agent communicates through a secure middleware layer that ensures reliability, security, and maintainability.
Your AI Agents
- Customer Support
- Lead Qualifier
- Doc Processor
- Workflow Agent
Agents Chef Middleware
- Auth Management
- Rate Limiting
- Error Handling
- Transformation
- Retry Logic
- Audit Logging
CRM Systems
Pipedrive · Zoho
Messaging Platforms
Teams · WhatsApp
Commerce & DB
PostgreSQL · Supabase
The middleware layer is critical. It handles authentication so your API keys are never exposed to the AI agent. It implements rate limiting to prevent exceeding third-party quotas. It provides automatic retry logic for transient failures. It transforms data formats. And it logs every request for audit compliance.
CRM Integrations
Connect your AI agents directly to your customer relationship management system. Agents can read customer records, update contact information, create deals, log activities, trigger pipeline automations, and sync data bidirectionally in real-time.
// Agents Chef - Salesforce Integration Example
import { AgentsChef } from "@agents-chef/sdk";
import { Salesforce } from "@agents-chef/salesforce";
// AI agent receives customer inquiry
agent.on('customer_inquiry', async (inquiry) => {
// 1. Fetch record from Salesforce
const contact = await sf.contacts.findByEmail(inquiry.email);
// 2. AI analyzes inquiry + context
const analysis = await agent.analyze({
message: inquiry.text,
history: contact.caseHistory
});
if (analysis.canResolveAutonomously) {
await agent.respond(inquiry.id, analysis.resolution);
await sf.activities.log({
contactId: contact.id, type: "AI_Resolution"
});
} else {
// Escalate & create SF case
await sf.cases.create({
contactId: contact.id, subject: analysis.summary
});
}
});// Agents Chef - Slack Bot Integration
import { AgentsChef } from "@agents-chef/sdk";
import { SlackClient } from "@agents-chef/slack";
// Listen for messages in #support channel
slack.on("message", async ({ channel, text, ts }) => {
if (channel !== SUPPORT_CHANNEL_ID) return;
// AI agent processes the question
const response = await agent.process({
query: text,
tools: ["knowledge_base", "jira_lookup"]
});
// Reply in thread with formatted response
await slack.chat.postMessage({
channel, thread_ts: ts,
blocks: [
{
type: "section",
text: { type: "mrkdwn", text: response.answer }
}
]
});
});Messaging Integrations
Deploy AI agents across every communication channel your customers and team use. Agents respond in Slack threads, process email inquiries, send WhatsApp notifications, and coordinate across channels while maintaining context.
Comprehensive Connectivity
We integrate with practically whatever powers your operations.
E-Commerce & Payment Integrations
| Platform | What We Integrate | Use Cases |
|---|---|---|
| Shopify | Orders, Products, Customers, Inventory, Fulfillment, Webhooks, Storefront API | Order tracking agent, inventory alerts, customer support, cart recovery |
| Stripe | Payments, Invoices, Subscriptions, Customers, Refunds, Disputes, Webhooks | Payment automation, subscription management, refund processing, billing |
| WooCommerce | Products, Orders, Customers, Coupons, Reports, Webhooks | Order automation, customer support, inventory sync, reporting |
| Razorpay | Payments, Refunds, Settlements, Invoices, Subscriptions, Virtual Accounts | Payment reconciliation, auto-invoicing, subscription management |
Database & Storage Integrations
| Platform | Integration Type | Use Cases |
|---|---|---|
| PostgreSQL | Direct SQL queries, real-time listeners, stored procedures, read replicas | Data lookup, record creation, reporting queries, audit logging |
| MongoDB | Document queries, aggregation pipelines, change streams, Atlas Search | Customer data, product catalogs, unstructured data analysis |
| Supabase | REST API, real-time subscriptions, storage, auth, edge functions | Real-time dashboards, user management, file processing |
| Firebase | Firestore, Realtime DB, Cloud Functions, Storage, Authentication | Mobile app backends, real-time sync, push notifications |
Productivity & ERP Integrations
| Platform | What We Integrate | Use Cases |
|---|---|---|
| Google Workspace | Gmail, Calendar, Drive, Sheets, Docs, Admin SDK | Email automation, scheduling, document generation, data sync |
| Notion | Pages, Databases, Blocks, Users, Search, Comments | Knowledge management, project tracking, documentation automation |
| Airtable | Bases, Tables, Records, Views, Automations, Webhooks | CRM alternative, project management, content calendars |
| QuickBooks | Invoices, Customers, Payments, Reports, Bank Feeds | Auto-invoicing, expense tracking, financial reporting |
Data Flow: Real-time Orchestration
A single webhook trigger can lead to complex AI scoring and multi-system routing without any human intervention.
- - Enrich data (Clearbit API)
- - Score lead sentiment/budget
- - Check CRM constraints
Slack Alert
Nurture Seq
Addition
// Webhook endpoint receives new lead
app.post("/webhooks/new-lead", async (req, res) => {
const lead = req.body;
// AI agent scores and qualifies the lead
const qualification = await agent.qualify({
name: lead.name, email: lead.email,
message: lead.message,
tools: ["clearbit_enrich", "hubspot_lookup"]
});
switch (qualification.score) {
case "hot":
await hubspot.deals.create({
contactEmail: lead.email, stage: 'qualified'
});
await slack.chat.postMessage({
channel: '#sales-alerts',
text: `New HOT lead: ${lead.company}`,
});
break;
case "warm":
await mailchimp.addMember({
email: lead.email, tags: ["nurture"]
});
break;
}
});Integration Security
Every integration we build follows production-grade security practices to ensure enterprise-level compliance.
Encrypted Connections
All data in transit uses TLS 1.3 encryption. All data at rest uses AES-256 encryption.
OAuth 2.0 Auth
Industry-standard OAuth 2.0 flows for all integrations. No credentials stored in code.
API Key Management
Credentials stored in encrypted vaults (AWS Secrets, GCP, Vault). Never hardcoded.
Rate Limiting
Built-in limits prevent exceeding API quotas. Automatic request queuing and backoff.
Audit Logging
Every API call is logged with timestamp, request details, and response status for compliance.
Webhook Verification
All incoming webhooks are verified using HMAC signatures to prevent spoofing.
Pricing
| Package | Price | Integrations | Auth | Support |
|---|---|---|---|---|
| Single Integration | $500-$1,500 | 1 platform | OAuth/API key | 30 days |
| Multi-System (3-5) | $2,000-$5,000 | 3-5 platforms | OAuth + webhooks | 60 days |
| Enterprise Suite | $5,000-$15,000 | Unlimited | Full security stack | 90 days |
| Custom / Legacy | Custom quote | Any system | Custom auth | Ongoing |
FAQ
What is a custom API integration?
A custom API integration connects two or more software systems so they can share data and trigger actions automatically. Instead of manually copying data between your CRM, email, and e-commerce platform, a custom integration makes these systems talk to each other in real-time through their APIs.
What platforms and tools can you integrate with?
We integrate with any platform that has an API. This includes CRMs (Salesforce, HubSpot, Zoho), messaging tools (Slack, Teams), e-commerce platforms (Shopify, Stripe), databases (PostgreSQL, Supabase), productivity tools (Google Workspace, Notion), accounting (QuickBooks), and internal APIs.
How much does a custom integration cost?
A single platform integration starts at $500 to $1,500. Multi-system integration packages connecting 3 to 5 platforms range from $2,000 to $5,000. Enterprise integration suites range from $5,000 to $15,000.
How long does it take to build a custom integration?
A single API integration typically takes 1 to 2 weeks. Multi-system integrations take 2 to 4 weeks. Complex enterprise integrations with legacy systems can take 4 to 8 weeks.
Is my data secure during integration?
Absolutely. We use TLS 1.3 encryption for data in transit, AES-256 for data at rest, OAuth 2.0, encrypted credential vaults, HMAC webhook verification, and comprehensive audit logging. Credentials are never hardcoded.
Can you integrate with legacy systems?
Yes. For systems without RESTful APIs, we build custom connectors using database-level integration, file-based data exchange (SFTP, CSV), screen scraping, and custom middleware.
What happens if a third-party API changes?
Our monitoring systems detect API changes and version deprecations automatically. Monthly retainer plans include ongoing maintenance to proactively update integrations before breaking changes occur.
Do I need an integration for each AI agent?
Not necessarily. We design architectures where multiple AI agents share a common middleware layer. One CRM integration, for example, serves your support agent, lead qualification agent, and reporting agent simultaneously.
Ready to Connect Your Business?
Book a free audit. We will map your stack, identify high-impact integrations, and show you how connections between AI agents and your tools eliminate manual data entry.