AI Integration Services
AI Integration for Existing Business Systems
We integrate OpenAI and Claude into the tools you already run — CRM, support, documents, internal apps — without breaking what works. Built to survive API changes and team turnover.
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What we build
OpenAI & Claude integration
LLMs wired into your CRM, support, and internal tools — for drafting, classification, lead scoring, and routing.
AI document & expense automation
Parse invoices, receipts, and forms automatically; push structured data into your systems with human-in-the-loop where needed.
Custom AI development
Production AI agents and pipelines built for your workflow — not a generic wrapper — with monitoring and ownership of code.
Resilient integration architecture
Error handling, retries, and observability so your AI features keep running when third-party APIs change.
Models & tools we integrate
- OpenAI
- Claude
- LangChain
- CrewAI
- n8n
- Make.com
- Monday.com
- HubSpot
- Salesforce
- Dynamics 365
OpenAI or Claude? How we choose
The honest answer to "which model is best" is: best for which job. Here's the decision logic we apply on real projects:
Classifying & routing (emails, leads, tickets)
Smallest model that passes your accuracy bar — this is where per-request cost matters most at volume.
Long documents, policies, contracts
Claude — the large context window lets it read the whole document instead of fragments.
Structured data extraction (invoices, forms)
GPT with strict JSON schema output, plus a validation layer that rejects malformed results.
Drafting in your brand voice
Claude, tuned with your real message history as examples — then a human approves before send.
Voice agents & real-time calls
OpenAI's realtime stack, with a fallback script for when latency spikes.
Multi-step agents with tools
Either — what matters is the orchestration layer, so we design for model swap from day one.
Where AI integration pays back first
AI in your CRM
Inbound leads scored and enriched before a rep opens them, call transcripts summarized into deal records, and follow-up drafts written from CRM context. Built inside HubSpot or Monday.com — not in a separate tool your team has to remember to check.
Document & invoice processing
Invoices, receipts, purchase orders, and intake forms parsed into structured data with a human-review step for low-confidence extractions. One client cut expense processing time 95% — the pipeline reads receipts and books entries automatically.
Support & inbox automation
Incoming email classified, urgent items escalated, routine questions answered with drafts a human approves. The inbox stops being a job in itself.
Custom AI agents
Screening agents that qualify inbound projects, research agents that prep briefings, voice agents that book meetings. Scoped to a job, tested against real cases, logged end-to-end so you can audit every decision.
From first workflow to production AI
1. Value mapping
We find where AI actually pays back in your workflow — usually 2-3 spots, not twenty. You get an integration plan ranked by ROI, with honest notes on what's not worth automating yet.
2. Focused first build
One integration built end-to-end: model, prompts, guardrails, human-review points, logging. Small enough to ship in weeks, real enough to prove value.
3. Production hardening
Retries, fallbacks between models, cost caps, and monitoring — the difference between a demo and something your business can rely on at 3 AM.
4. Scale & maintain
Once the first integration earns trust, we extend to adjacent workflows. Managed plans cover model deprecations and API changes with free fixes.
AI integration pricing
Fixed price agreed before any work starts — scoped on a free 30-minute call. Start with one integration; scale when it proves itself.
First integration
$2,000–$5,000
One AI workflow — scoring, parsing, or drafting — wired into your stack. 1–2 weeks.
AI + CRM system
$5,000–$25,000
AI integrated across your CRM and workflow tools, with migration and training. 3–8 weeks.
Custom AI systems
$10,000–$50,000+
Production agents, voice AI, or document pipelines built to survive production. 6–16 weeks.
Frequently asked questions
What are AI integration services?+
AI integration means connecting AI models like OpenAI's GPT and Anthropic's Claude into your existing business systems — CRM, support inbox, documents, internal tools — so they automate real work rather than sitting in a separate chat window. Retailbox builds these integrations to survive API changes and team turnover.
How do you integrate OpenAI or Claude into our business?+
We start by mapping where AI adds the most value (lead scoring, document parsing, support replies, expense/invoice processing), then build it into your stack via API, webhooks, and orchestration tools (n8n, Make), with guardrails and monitoring. You own the code and the keys.
What does custom AI development cost?+
A focused first integration (one AI workflow — scoring, parsing, drafting) runs $2,000–$5,000 and ships in 1–2 weeks. Production AI systems — custom agents, voice AI, document pipelines — run $10,000–$50,000+ over 6–16 weeks. Fixed price scoped on a free 30-minute call, so there are no surprises.
Will the integration break when an API changes?+
That's the main risk with AI integrations, and the thing we design against. We build resilient error handling and offer Managed Automation plans with 24/7 monitoring and free fixes when third-party APIs change.
Which AI models and tools do you work with?+
OpenAI (GPT), Anthropic Claude, LangChain, and CrewAI for agents; n8n, Make.com, Zapier, and Power Automate for orchestration; and CRMs including Monday.com, HubSpot, Salesforce, and Dynamics 365.
Do we need our own OpenAI or Anthropic account?+
Yes, and that's deliberate: the API keys, the accounts, and the code live under your ownership, not ours. You're never locked into an agency subscription to keep your own automation running. We set up billing alerts and usage caps so AI costs stay predictable.
How do you deal with AI mistakes and hallucinations?+
By designing for them instead of hoping they won't happen: low-confidence outputs route to a human-review step, prompts are tested against real historical cases before launch, every AI decision is logged so you can audit it, and anything customer-facing ships with an approval gate first — full autonomy comes only after the accuracy numbers earn it.
Can you add AI without replacing our current tools?+
That's the whole point of integration. The AI layer plugs into the CRM, inbox, and databases you already run — via APIs and webhooks — so your team keeps working where they work today. Nothing gets ripped out; the tools just start doing more of the work themselves.
Related services: Monday.com implementation · HubSpot implementation · Business process automation
Ready to add AI?
30-minute free call. We'll tell you honestly where AI will (and won't) move the needle for your team.