AI & Automation FAQ

What business processes can you automate with AI?

The highest-ROI automation targets we see repeatedly are: document processing (invoices, contracts, forms), customer support triage and first-response, lead qualification and CRM data entry, internal reporting and data aggregation, and repetitive decision workflows like credit checks or inventory reordering. If your team spends significant time on a task that follows predictable rules, it is almost certainly automatable.

How long before we see ROI from an AI automation project?

For well-scoped automation projects, most clients recoup the build cost within 4–8 months through labour savings and error reduction. A document processing automation that handles 500 invoices per day, for example, typically saves 20–40 hours of manual work per week. We build a concrete business case during discovery so you have numbers to take to your finance team before committing.

Do you use off-the-shelf AI tools or build custom models?

Both, depending on the use case. For natural language tasks we integrate proven models from OpenAI, Anthropic, or Google — fine-tuned on your data where needed. For structured prediction tasks (fraud detection, demand forecasting) we often build custom models trained on your historical data. We recommend the least complex solution that meets your accuracy requirements because simpler systems are cheaper to maintain and explain to stakeholders.

How do you handle our data privacy when using AI?

Data handling is designed in from the start, not bolted on. We sign a Data Processing Agreement (DPA) with you, process sensitive data only within your approved jurisdictions, and avoid training third-party models on your proprietary data without explicit consent. For highly regulated industries (finance, healthcare) we deploy models on private infrastructure so your data never leaves your environment.

Can we start small with a single automation before committing to a larger programme?

Absolutely, and we actively encourage it. A single well-chosen automation proves the approach internally, builds stakeholder confidence, and gives us a real data set to estimate the next initiative accurately. We offer a structured Automation Discovery Sprint — a two-week engagement that maps your processes, identifies the top three automation opportunities, and produces a prioritised roadmap with ROI projections.