LLM API Integration: OpenAI, Claude and Azure OpenAI in Your Product
LLM API integration adds language-model features, such as search, summaries, drafting or chat, to your own application through the OpenAI, Anthropic or Azure OpenAI APIs. Remolda ships one production feature in six weeks for $9,800 CAD + HST.
In short
- Price: $9,800 CAD + HST for the six-week AI Pilot Sprint: one AI feature shipped in your product.
- Typical features: in-app assistant, document summaries, smart search over your data, draft generation, classification and extraction.
- Provider chosen by fit: OpenAI API, Anthropic Claude API, Azure OpenAI or Amazon Bedrock, with a thin layer that lets you switch later.
- Built for production: keys in a secrets manager, rate and cost limits, logging, an evaluation test set that runs before every release.
- Your team reviews and owns the code; we pair with your developers during the build.
Your situation
API integration fits software teams that want AI features in their own product and need them to hold up in production. Typical cases:
- Customers expect an AI feature. Competitors added one; your roadmap has a slot.
- A prototype works in a notebook. Moving it to production raises questions about cost, errors and security.
- Regulated data. Financial or health clients ask where prompts go and who can see them.
- Model churn. Providers release new versions every few months, and the team wants a setup that survives it.
What we build into your product
| Component | Purpose |
|---|---|
| Feature logic and prompts | The AI behaviour, versioned like code |
| Retrieval of your data | Relevant records passed to the model, with access checks |
| Provider interface | One layer over OpenAI, Claude, Azure OpenAI or Bedrock |
| Guardrails | Input and output checks, personal-information filters, refusal handling |
| Evaluation set | Automated scoring on real examples in CI |
| Cost and rate control | Per-user limits, caching, budget alerts |
| Logging | Requests, responses and errors for support and audit |
Connecting AI to an off-the-shelf ERP or CRM is covered by LLM integration with existing systems. Where data residency is the main question, see private AI in Canadian cloud regions. Retrieval over large document sets uses a data pipeline for AI.
What the AI Pilot Sprint includes
One production feature. Specified with your product owner, merged into your codebase.
Provider test. Two candidate models compared on your examples for quality, latency and cost.
Evaluation set in CI. Scores tracked on every change.
Security review. Key storage, data flows and personal information documented under PIPEDA and, for Quebec, Law 25.
Pairing and handover. Your developers build alongside us and own the result.
How long it takes
Six weeks from kickoff. In our experience the usual split is one week for specification and evaluation set, three weeks of build and testing, and two weeks behind a feature flag with real users. Security review and provider account approvals can add time.
What it costs
The AI Pilot Sprint is $9,800 CAD + HST, fixed, for one feature. API usage is billed to your account by the provider. For a wider view of which provider fits, see AI vendor selection. All packages are on the pricing page.
Why Remolda for LLM API integration
- Provider-neutral. OpenAI, Claude, Azure OpenAI or Bedrock, chosen on your examples.
- Evaluation from day one. Quality is a number in CI.
- Data location stated plainly. What stays in Canada and what does not, per provider.
- Your code, your team. Pairing and handover included.
- Fixed price. One feature, six weeks.
How the work runs
The Sprint is the Implement step of the Remolda Cycle (Audit → Strategy → Implement → Empower → Evolve).
- Scope call. 30 minutes: feature, stack, data.
- Spec and evaluation set. Agreed with your product owner.
- Build. Provider test, feature, guardrails.
- Release. Behind a flag, then to all users.
- Review. Usage, quality score and cost per request, then go / adjust / stop.
Frequently asked questions
What is LLM API integration?
It is connecting your software to a large language model through the provider's API, so your product can generate, summarize, classify or answer questions. The work covers prompts, retrieval of your data, security, cost control and tests.
How much does LLM API integration cost?
Remolda's six-week AI Pilot Sprint is $9,800 CAD + HST for one production feature with evaluation tests and handover. API usage is billed by OpenAI, Anthropic, Microsoft or AWS directly to your account.
OpenAI, Claude or Azure OpenAI: which API should we use?
It depends on the task, your cloud, data location needs and price per request. We test two candidates on your own examples and recommend one. The code keeps the provider behind an interface so switching later is a contained change.
Is our data used to train the models?
OpenAI states that API data is not used for training unless you opt in, and Anthropic states that commercial API inputs and outputs are not used for training by default. Azure OpenAI and Bedrock run under your cloud agreement.
Can data stay in Canada?
Partly, depending on the provider. OpenAI offers Canadian storage at rest for eligible API customers, with processing elsewhere. Azure OpenAI Standard deployments in Canada East process prompts in Canada for listed models. Anthropic's own API currently offers global or US inference.
How do you test an AI feature before release?
With an evaluation set: real inputs and expected outcomes, scored automatically on every change of prompt, model or code. The score is part of your CI pipeline.
How long does it take?
Six weeks from kickoff. In our experience, agreeing on the evaluation set and getting API access approved take the first week or two.
Sources
- OpenAI — Your data (API data usage and data residency)
- Anthropic Privacy Center — Is my data used for model training?
- Claude Platform docs — Data residency
- Microsoft Learn — Azure OpenAI deployment types (data processing location)
Facts checked:
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