AI Development Services Built for Real Business Outcomes

AI development can include use-case discovery, data and technical assessment, proof-of-value development, custom AI software, generative AI, machine learning, agents, integration, testing, deployment, monitoring and ongoing optimisation. IDS Logic tailors the scope to your goals, systems, data and risk profile.

Cost depends on the use case, data readiness, model choice, integrations, security requirements, user experience and support needs. A focused proof of value requires less investment than a production platform with multiple workflows and enterprise integrations. We provide a scoped proposal after discovery.

A focused prototype may be delivered in a matter of weeks, while a production-grade solution can take several months. Timelines depend on data availability, complexity, integrations, governance, testing and change management. We confirm milestones and acceptance criteria during discovery.

Yes. We can integrate AI with web applications, mobile apps, CRM, ERP, SharePoint, Microsoft 365, ecommerce platforms, data services and other business systems using secure APIs, connectors and workflow automation.

Not always. Some generative AI solutions can use approved documents and retrieval-augmented generation, while predictive models may need sufficient historical data. We assess data quality, access and suitability before recommending an architecture.

We apply privacy and security considerations throughout discovery, architecture, development and testing. Depending on the use case, this can include data minimisation, access controls, encryption, audit trails, model and prompt testing, human approval points, retention controls and clear operational ownership. Specific legal obligations should be confirmed with your compliance advisers.

Yes. We can design solutions using commercial model APIs, managed cloud AI services and suitable open-source models. Selection is based on the use case, data sensitivity, performance, cost, hosting, governance and integration requirements.

A proof of value tests whether a use case is feasible and commercially useful with a controlled scope. A production solution adds robust integrations, security, monitoring, UX, support processes, scalability, documentation and governance so it can operate reliably in the business.

Yes. We can provide technical support, usage monitoring, quality reviews, prompt and workflow refinement, model or API updates, retraining where appropriate, cost optimisation and further feature development.

Yes. We start with business goals, pain points, workflows, available data and risk. We prioritise opportunities using value, feasibility and adoption criteria, then define a practical roadmap or focused proof of value before a wider programme.