Frequently Asked Questions

Mobiloitte UK designs, builds, and deploys custom AI workflow automation, enterprise software applications, mobile digital products, data platforms, and secure system integrations tailored for UK business growth.

Yes. We engineer intelligent conversational AI chatbots and automated voice solutions with defined ownership, comprehensive audit logs, and human-in-the-loop oversight to ensure operational compliance and reliability.

Yes. Our UK engineering teams seamlessly connect custom AI models and automated workflows with enterprise platforms like Salesforce, SAP, Microsoft Dynamics, Hubspot, and proprietary SQL databases.

Development timelines depend on functional complexity and technical scope, typically executed in structured phases: architectural discovery, iterative sprint building, comprehensive QA testing, and governed deployment.

Yes. We provide flexible engagement models supporting high-growth UK scale-ups requiring rapid execution speed, alongside large corporate enterprises demanding strict data residency, security, and governance standards.

We embed strict UK GDPR compliance, end-to-end data encryption, role-based access controls, secure cloud hosting, and transparent audit logging into every software architecture from day one.

We provide dedicated managed engineering pods for continuous software maintenance, proactive security patching, infrastructure upgrades, performance optimization, and SLA-backed technical support post-launch for UK clients.

Yes. Starting with an initial technical discovery phase enables us to clarify strategic business objectives, evaluate existing systems, map data flows, and define a clear MVP roadmap.

You can initiate a project discussion by completing our website contact form or emailing our UK leadership team directly at contact@mobiloitte.co.uk for a confidential discovery session.

We take a safety-first, data-grounded approach to chatbot engineering. We implement Retrieval-Augmented Generation (RAG) using your approved internal data sources, vector embeddings, and strict boundary controls.

Yes. Our chatbots connect via secure, authenticated REST APIs, GraphQL endpoints, and database connectors with role-based access control (RBAC).

AI-native software engineering is building software systems designed from the ground up around agentic workflows, foundational models, and secure vector architectures, rather than adding an AI feature onto legacy code.

Our AI phone assistants use semantic intent recognition combined with deterministic business rules. When intent confidence is low or the caller requests human assistance, calls are routed to human agents with full conversation context.

We evaluate legacy system interfaces, data schemas, and security constraints. We typically implement API wrapper layers, message queues, and event-driven patterns that allow legacy systems to exchange data reliably without risky monolith rewrites.

Yes. We build custom Salesforce integrations using REST and Bulk APIs, webhook listeners, and bi-directional synchronisation pipelines connecting CRM records with ERP, billing, and custom software.

AI-powered application modernisation is the process of evolving existing software so it can support current business requirements and carefully selected AI capabilities without unnecessarily rebuilding the entire application.

Rarely. In most cases, a complete rewrite introduces unnecessary operational risk. We typically apply progressive modernisation patterns such as the Strangler Fig pattern to decouple critical services incrementally.

We build compliance into the architecture through data minimisation, explicit consent flows, robust role-based access, automated audit logs, and data residency in approved UK cloud regions.

Yes. Our engineering frameworks are explicitly aligned with the UK government's five pro-innovation principles: safety, security and robustness; appropriate transparency and explainability; fairness; accountability and governance; and contestability and redress.

Yes. We support UK leadership teams in defining AI acceptable use policies, model evaluation criteria, risk assessment matrices, and oversight procedures aligned with ICO expectations.

Mobiloitte UK combines local UK project steering and architectural oversight with scalable engineering capacity, providing predictable sprint velocity, commercial transparency, and rigorous QA discipline.

Yes. We provide both dedicated managed pods (cross-functional teams with Tech Lead, engineers, QA, and Delivery Manager) and flexible skill augmentation to reinforce your in-house engineering team.