Can you add AI to our SaaS without rebuilding the product?

Yes. Brownfield integration adds endpoints, background jobs, or embedded copilot panels to your existing app. We work in your repo or a sidecar service. First AI features (summarize, search, or assist) often go live in 7 days with a focused scope.

Do you build RAG with vector databases?

Yes. We embed your knowledge base into Pinecone, pgvector, Weaviate, or similar, sync on a schedule, and retrieve chunks at query time with citations in the UI. Hybrid search (keyword plus vector) improves recall for product and support content.

How much does AI integration services cost?

AI integration is quote-based across Starter, Growth, and Scale plans by number of features, RAG scope, agent complexity, and compliance needs. No fixed public pricing. Written quote within 48 hours after discovery. Month-to-month available.

How long does the first AI feature take to ship?

A focused first feature (API summarize, RAG search, or one agent action) often ships in 7 days after kickoff. Multi-feature integrations with RAG sync, MCP tools, and admin consoles commonly run 4 to 8 weeks.

Do you support function calling and tool use?

Yes. We define JSON schemas for tools, validate arguments server-side, and execute CRM, billing, or custom webhooks with idempotency and error handling. Agents loop until the task completes or hits a safe step limit.

What happens after AI integration goes live?

You get 30 days post-launch support, runbooks, monitoring on latency and cost, and model upgrade notes. Retainers cover new tools, embedding refreshes, and router tuning. We link to our AI Services hub for chatbots, automation, and consulting when you expand.

AI Integration Services ★ 4.9 · 47 reviews

AI Integration Services.
GPT & Claude in Your Stack.

OpenAI and Claude APIs, RAG pipelines, MCP servers, and agent tooling. integrated into the software you already run.

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95+ integrations shipped

7-day avg. first feature

35% API cost reduction

AI Feature Live AI Feature Live AI Feature Live

Dashboard Records Search AI Assist

OpenAI Claude Vector DB MCP

Features

3 live

Tokens/s

Route

GPT-4o

Models we work with (updated as releases ship)

GPT-4o Claude Gemini Llama (open-source)

Your data stays yours SOC2-aligned practices No training on your data by default

95+

Integrations

7-Day

First Feature

35%

API Cost Savings

Models Supported

Integration Architecture

Four Layers That Make AI Integration Production-Safe.

API Gateway

Provider keys stay server-side. Rate limits, auth, and request logging at the edge.

Model Routing

GPT-4o, Claude, Gemini, or mini models chosen per task with automatic fallback.

RAG Pipeline

Embeddings, chunking, hybrid search, and citations grounded in your data.

MCP & Tools

Function calling and MCP servers for CRM, SQL, and custom internal APIs.

Build Process

From Integration Audit to First Live AI Feature in 7 Days to 8 Weeks.

Day 7

Wk 4

W10

Wk 8

Ongoing

Discovery & Routing

Stack map, data flows, build option (API, RAG, agent), and security review before code.

AI UX & Prompts

API contracts, tool schemas, streaming hooks, and admin test console in your staging environment.

Build & Integrate

Proxy, RAG sync, MCP tools, function calling, and feature flags wired into your existing app.

Launch & Tune

Production rollout, cost dashboards, router tuning, and embedding refresh schedules.

AI Integration Plans

Choose Your AI Integration Services Level.

Quote-based plans. No long-term contracts. Scoped by integrations count, RAG scope, agents, MCP tools, and compliance needs.

STARTER

Starter

First API feature ï¿½ One surface

?AI use-case & model audit
?1 AI feature MVP (API or RAG)
?GPT / Claude integration
?RAG or model routing scope
?Streaming integration UX
?30-day reporting

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What Professional AI Integration Services Delivers.

Integrations Shipped

First Feature

Cost Reduction

Models Supported

GPT, Claude, Gemini, open weights

Our SaaS had no AI layer. Groke added an API proxy, RAG over our help center, and MCP tools into Salesforce.

VP Product, B2B SaaS (Canada)

FAQ

Common questions.

What does AI integration into existing software involve?

We map your current stack (SaaS, CRM, ERP, internal tools), define the AI feature boundary, and add a secure API layer: OpenAI or Claude proxies, RAG pipelines, function calling, or agent workflows. Your UI stays familiar; new capabilities call our integration service behind auth, rate limits, and logging.

API integration vs RAG vs AI agent: which should we choose?

Direct API integration suits classification, summarization, and single-turn generation with fixed prompts. RAG adds retrieval from your docs, tickets, or catalog so answers stay grounded.

Do you integrate OpenAI GPT-4o and Anthropic Claude APIs?

Yes. We integrate GPT-4o, GPT-4o mini, Claude Sonnet and Haiku, Google Gemini, and open models via API or Azure/OpenRouter. A model-agnostic router handles fallback, cost tiers, and streaming. You can switch providers without rewriting product screens.

What is MCP integration and do you support it?

Model Context Protocol (MCP) connects LLMs to tools and data sources through standardized servers. We deploy MCP servers for CRMs, databases, and internal APIs, then wire them into your agent or chat layer with function calling. This keeps tool definitions maintainable as your stack grows.

How do you handle security and data when integrating AI?

We never put provider keys in front-end code. Traffic goes through your backend or our proxy with encryption, scoped API keys, PII redaction options, and audit logs.

How do you control AI API cost and latency?

Model routing sends simple tasks to smaller models, caches repeated queries, compresses prompts, and caps tokens per user. Streaming improves perceived speed. Dashboards show cost per feature and p95 latency. Clients often see roughly 35% lower spend vs naive always-GPT-4o setups after routing and caching.

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Get a Free AI Integration Scope Call - Map Stack, Security, and Timeline.

Free 30-min AI integration scope call. We review your existing stack, build options (API, RAG, agent, MCP), security and data boundaries, and timeline - and show you what a production integration architecture looks like before any commitment.

Free AI scope call - 30 minutes, no obligation

Full scope and pricing delivered within 48 hours

Month-to-month - no long-term contracts required

Development starts within 5 business days of sign-off

Get Integration Scope Call ? WhatsApp Us

Average response: under 4 hours ï¿½ Serving US, UK, CA, AU

? No pitch decks ? Free 30-min call ? Quote within 48hrs

Further reading: Anthropic Research Â· OpenAI Research

AI Integration Services.GPT & Claude in Your Stack.