At a glance. Choose one clear problem, automate a bounded workflow and measure an operating result. Expand from evidence rather than a promised AI benefit.
Identify the work worth changing
Good candidates are frequent tasks with a clear input, reliable information and a recognisable output: routing enquiries, preparing CRM records, retrieving an order status or consolidating reports.
Avoid starting with “add AI to the company”. Start with a process the team can describe and a problem it wants to solve. Conventional rules or an integration may be sufficient for parts of the task.
Where to look first
- Sales: enquiry assignment, research summaries, CRM updates and follow-up administration.
- Customer service: classification, routine information retrieval and preparation for human support.
- Marketing: content drafts, approved adaptations and reporting support.
- Operations: document intake, data transfer, reconciliation support and exception alerts.
Keep judgement, sensitive decisions and final approval with the appropriate person. Define a handover for anything outside the agreed scope.
Choose tools after defining the flow
Make and similar automation platforms can connect systems and apply rules. Model APIs can help interpret or generate text. Custom software can provide an interface or specialised logic when existing tools do not fit.
The architecture should follow the workflow, permissions and operating requirements. Buying more tools before defining those requirements usually adds another system to maintain.
Four steps to the first useful release
- Map: identify the trigger, data, actions, owner and common exceptions.
- Prioritise: compare effort, frequency, risk and the value of solving the bottleneck.
- Build and test: start with one flow and realistic normal and failure cases.
- Monitor: review errors, time saved and user feedback, then adjust or expand.
Estimate return from a measured baseline
Record how long the current work takes and how often it happens. Compare that with setup, subscriptions, usage, integration, review and maintenance. Include the work that still needs a person after launch.
There is no guaranteed percentage saving or conversion increase from AI. Use the pilot to measure the benefit in your workflow and compare it with its full operating cost.
Keep the result usable
Provide documentation, access, a clear recovery procedure and an owner who can decide when the process changes. Monitor integrations and approved source material as systems, products and policies evolve.
Storm X’s role is to connect the process design with implementation and review. The proposal should define the first flow, responsibilities and acceptance criteria before wider rollout.
Frequently asked questions
What should we automate first?
Choose a recurring bottleneck with reliable inputs, clear success criteria and a manageable failure path.
Do we need custom software?
Only when existing tools and integrations cannot meet an important requirement well. Compare the simpler options first.
When is the project finished?
A release is complete when the agreed workflow is accepted and usable. Ongoing monitoring and change ownership remain necessary.