Services & solutions

AI and automation

Build a business case before scaling an AI use case

Useful AI and automation depend on an appropriate problem, dependable inputs and a workflow that people can operate. We help clients qualify opportunities, develop controlled pilots and assess whether production deployment is justified.

What we do

  • Identify use cases against business value, process stability, data availability and implementation effort.
  • Establish the baseline for volume, handling time, errors, rework and current cost.
  • Compare rules-based automation, analytics and AI approaches rather than assume AI is required.
  • Develop bounded pilots for activities such as document processing, knowledge retrieval and service-request assistance.
  • Define evaluation datasets, quality thresholds, exception handling and human review.
  • Integrate the agreed solution with existing workflows and access controls.
  • Calculate operating costs, monitor adoption and plan support, model changes and rollback.

Typical deliverables

Prioritised use-case portfolio; feasibility and business case; pilot scope; evaluation results; control and exception model; operating-cost estimate; rollout and support plan.

Industry illustration

A shared-services team manually reads supplier invoices and routes exceptions. A pilot could extract selected fields, validate them against business rules and route low-confidence cases for human review. Evaluation would assess accuracy, handling time, exception rates and total cost, including review and platform consumption.

How success is assessed

Quality against an agreed evaluation set, accepted automation rate, cycle time, rework, adoption and cost per completed transaction. Productivity gains are measured after review effort, platform costs and operational support are included.

Delivery model

Business ownership remains explicit. Sensitive workflows require appropriate controls, and decisions affecting people or regulated outcomes retain the review required by the client’s policies and applicable requirements. AI and automation specialists execute the agreed engineering scope under Averanta’s delivery governance. The production-support model is agreed before implementation.

A practical first engagement

A use-case assessment followed, where justified, by a pilot with defined success and stop criteria.

Industry illustrations describe possible assignments, rather than completed Averanta engagements or guaranteed results.

A practical starting point

Let’s define the work that matters.

Share the business problem, the priorities and the constraints. We’ll discuss a sensible first engagement.

Discuss your business priority