AI Strategy & Generative AI Development
AI Model API Integration
Connecting your existing software to AI model APIs from OpenAI, Google, Anthropic and others, securely and cost-efficiently, so current products gain AI features without a rebuild.
Overview
Why it matters
for your business.
You may already have a working CRM, ERP, website or mobile app and simply want it to summarise, classify, translate or extract information. Building a separate AI product would be overkill. We add AI model calls directly into your existing codebase or through a lightweight service layer, handling authentication, retries, timeouts, streaming and structured output parsing.
Integration work done well is mostly about reliability and cost. We abstract the provider behind a single interface so you can switch models later, cache repeated requests, mask sensitive fields before they leave your systems and log every call for debugging. Secrets are stored in a vault, not in code, and usage alerts warn you before a bill surprises anyone.
What's included
- Model provider selection and cost comparison
- Provider-agnostic AI service layer or SDK wrapper
- Structured output schemas and validation logic
- PII masking and secure secret management
- Request logging, caching and usage alerts
- Integration tests and developer documentation
Outcomes
What changes
for your business.
Ideal for
- SaaS products adding AI features
- In-house teams lacking AI integration experience
- ERP or CRM owners wanting smarter workflows
AI without a rebuild
Existing applications gain summarisation, extraction or translation features while the core system stays as it is.
Freedom to switch
A provider-agnostic layer lets you move to a cheaper or better model without rewriting business logic.
Controlled data exposure
Masking and logging ensure only necessary information reaches external APIs, with a record of every request.
How we deliver
A clear, accountable
process.
Every engagement follows the same disciplined approach, adapted to the size and urgency of your project.
- 01
Identify
We find the use cases and processes where AI or automation clearly pays off, and estimate the impact.
- 02
Prototype
A proof of concept on your own data shows what works before you commit to a full build.
- 03
Deploy
We integrate with your systems, add guardrails and human review, and train your team.
- 04
Monitor & improve
Accuracy, cost and usage are tracked, and the solution is tuned as your data and needs change.
Ways to work with us
- Fixed-price projectsDefined scope, milestones and deliverables.
- Implementation & integrationOne-time technology deployment and integration.
- Time & materialFlexible delivery based on actual effort and resources.
- Monthly managed servicesRecurring application, IT, marketing or infrastructure support.
FAQ
Common
questions.
Something else on your mind? Ask us directly.
What drives the ongoing cost of using AI model APIs?
Providers charge mainly per token processed, so cost depends on request volume, prompt and document length, and the model tier. We estimate monthly spend from your expected usage, then reduce it with smaller models for simple tasks, caching, shorter prompts and batching where real-time responses are not needed.
What happens if the AI provider has an outage?
We build in timeouts, retries with backoff and, where it matters, a fallback to a second provider or a non-AI path. Your application should degrade gracefully, for example by queueing the task or letting a user proceed manually, rather than failing outright.
Let's talk about AI Model API Integration.
Tell us what you need and get a clear plan and proposal, free and with no obligation.