We connect AI models and agents directly to your CRM, website, database, and messaging tools, so your systems actually talk to each other instead of living in separate silos.
AI Integration Services for B2B Companies
Instant customer inquiries, online booking & direct team routing.
“Hi! Do you have availability tomorrow at 10:30 AM for a service call?”
Target date: Tomorrow · Preferred window: Morning
Do you have availability tomorrow?
Yes! We have 10:30 AM and 2:00 PM open tomorrow. Would you like me to hold a slot for you?
We don't wire together no-code automations that break under real load. We build proper backend middleware queues, validation, fallback logic the same way we'd build it for our own product.
Connect OpenAI, Claude, and other models directly to HubSpot, Salesforce, Zoho, or SAP. Enrich leads, draft summaries, and update deal stages automatically, without manual data entry.
AI responders on WhatsApp, Telegram, Slack, Microsoft Teams, and Instagram DM that answer questions, book meetings, and flag anything that needs a person.
Turn your contracts, PDFs, product catalogs, and databases into a searchable knowledge base, so AI answers come from your actual documents instead of a guess.
Connect AI to Shopify, Stripe, and WooCommerce for product recommendations, automated chargeback responses, and smarter upsells at checkout.
Add a streaming AI assistant to your React, Next.js, or Vue app without slowing down your initial page load.
Backend infrastructure Redis, Kafka, serverless workers built to handle high call volume with automatic retries, rate limiting, and cost tracking.
If it has an API, we can probably connect to it cloud platforms, legacy databases, modern SaaS tools, or messaging channels.
Every integration follows zero-trust security principles. Your data is never used to train public models, and every pipeline includes automated checks before anything goes live.
We use enterprise API agreements with providers like OpenAI and Anthropic, where your data is contractually excluded from model training.
Emails, phone numbers, and payment details get masked before they ever reach an external AI model.
If an AI provider hits rate limits or goes down, requests automatically route to a backup model instead of failing silently.
Set monthly budgets and per-user limits so API costs stay predictable instead of spiking unexpectedly.
How We Build
Each stage has a clear deliverable, so you always know what's done and what's next.
We review your current tools, map how data moves between them, and design the middleware architecture before writing any code.
We build the webhook handlers, vector search index, and queues the integration will run on.
We connect your CRM, messaging channels, website, and databases, with automatic retries if something fails.
We test under real load, audit how PII gets handled, confirm fallbacks trigger correctly, and tune response times.
We deploy to production with monitoring dashboards in place, hand over full documentation, and stay on for ongoing support.
How the Integration Process Works
Every project is fixed-scope, with full code ownership and no vendor lock-in. Pick the tier that matches what you need connected.
$12K+ fixed scope
Best for connecting one workflow, like CRM lead enrichment, a WhatsApp AI responder, or document search, in 3 to 4 weeks.
$28K+ fixed scope
For syncing multiple systems CRM, messaging, web, and billing in 6 to 8 weeks.
$55K++ custom scope
For complex enterprise builds custom model tuning, ERP sync, and SOC 2-ready architecture typically 10 to 14+ weeks.
Need something more complex, like a custom enterprise architecture or model fine-tuning? Schedule a technical scoping call →
AI Integration Pricing
No-code tools are fine for simple triggers, but they hit timeout limits fast, don't support real vector search, and get expensive per task at scale. We build proper backend middleware, type-safe, with queues, validation, and fallback logic, the same way we'd build it for our own product.
Yes. We use enterprise API agreements where providers like OpenAI, Anthropic, and Google are contractually barred from using your data to train their models. On top of that, our middleware masks PII before it's sent, and everything can run inside your own private cloud.
We work with all the major providers, OpenAI, Anthropic, Google, and DeepSeek, and pick whichever model fits the task best, not whichever we're most comfortable with. For businesses that need full data control, we can also deploy open-weight models like Llama on your own infrastructure.
We build fallback logic into every pipeline. If a provider hits rate limits or goes down, requests route automatically to a backup model instead of failing outright, and anything mid-flight gets queued instead of simply dropped.
Yes. We build secure adapters and database listeners that let modern AI workflows talk to legacy ERPs, internal SQL databases, and older proprietary systems that were never designed to connect to anything external. This is one of the more common requests we get from companies running systems built years before AI was part of the plan.
A single-workflow integration, like a CRM lead qualifier or a WhatsApp AI assistant, ships in 3 to 4 weeks. Connecting multiple systems typically takes 6 to 8 weeks. Full enterprise deployments run 10 to 14+ weeks depending on scope.
Yes, completely. Once the final payment clears, the full codebase, database schemas, infrastructure scripts, and documentation transfer to your organization. There are no ongoing licensing fees, and nothing stays locked to us.
We ground answers in retrieval-augmented search instead of letting the model guess, validate every output against a strict schema, and add verification checks before anything reaches the user. It's not foolproof, but wrong answers get caught before they cause a problem.
NextCTL is registered in the United States (Dover, Delaware), with an engineering team based in Dhaka, Bangladesh. That spread gives us overlapping working hours across both regions, and a registered local entity for US clients to contract with directly.
Book a scoping call. We'll walk through your current stack, figure out which workflows are worth automating first, and follow up with a fixed-scope proposal and timeline within 48 hours.
Frequently Asked Questions About AI Integration
