AI & capability
AI combined with the right digital infrastructure, trained people, and measured execution will. We build all four.
Ways to work with WithNova
You need to decide where AI can make a useful difference.
Assess the workflow, people, data and costs; choose a suitable use case and success measures.
You leave withA prioritised use case and a practical business case.
Discuss AI Opportunity Session ↗You have a suitable use case and need it working.
Build and test the scoped workflow, connect the relevant tools and train the people who will run it.
You leave withA tested workflow, operating guidance and acceptance criteria.
Discuss AI Workflow Build ↗You need reliable adoption, improvement and ownership.
Connect additional workflows and capability with human oversight, operating measures and a review cadence.
You leave withAn agreed roadmap, owners and ongoing performance reviews.
Discuss AI Operating Systems Partnership ↗Choose the right entry point. Scope, fee, responsibilities and acceptance criteria are agreed before work begins; these are not compulsory sequential purchases.
A business job, before a technology choice
For an owner or business leader with a real workflow to improve: enquiries that wait, repetitive administration, inconsistent output or a team that has tools but lacks confidence.
Start with the work, its owner and its current cost and quality. Agree the improvement worth pursuing. Then test the system in use before expanding it.
We build all four
Select an application against a real business need, with clear inputs, quality criteria and human review.
Connect the data, permissions, tools and hand-offs required for the work to run in your business.
Combine applied learning, guided practice and business simulations where useful. Equip a responsible owner to operate and improve the process.
Compare time, quality, adoption and operating cost with the starting point. Keep exceptions and human supervision visible.
A focused first engagement
Examine the process, data, readiness and expected value. Choose a bounded use case and agree scope, fee and acceptance criteria.
Configure the agreed workflow, test outputs and exceptions, and train the people responsible for using it.
Review observed performance and full operating cost. Expand what meets the business case; adjust or stop what does not.
The AI campaign is an operating proposition. The measured business case determines whether a particular implementation earns its place.
Applied capability
Harvard ManageMentor, simulations and coaching support leadership, delegation and business acumen around the decisions people face.
Our applied AI capability pathway develops capability from AI foundations towards more advanced workflow and systems work. Match the learning to the role and starting point.
Ihsan Ahmad, Head of AI Operating Systems Development, connects workflow design and implementation. Agree human review, exception handling and the operating owner’s responsibilities.
Apply the learning to the workflow being improved. Review adoption, output quality and full operating cost before expanding the implementation.
How measurement leads to improvement ↗The commercial question
Compare effort on equivalent tasks, including review and correction time.
Test the output against agreed examples, acceptance criteria and exception cases.
Account for setup, licences, usage, support and human supervision. Time saved is not automatically cash saved.