Workflow discovery
Map the steps, inputs, handoffs, and exceptions in the current process. Identify what could be simplified before deciding whether software or AI belongs in the solution.
Built around the work
Turn a recurring bottleneck into a better workflow.
Start with the task your team repeats, the information it needs, and the decisions people should keep. Purely IT explores custom software and AI around practical operational needs, informed by our own internal workflow experience.
Plan your project+A focused problem and a defined first release+Clear boundaries between automation and human decisions+Integrations planned around your existing systems
The scope
Built around
what you need.
Every project starts with the operating environment. We define the equipment, work and handoff around your requirements.
Custom business tools
Scope purpose-built interfaces and functions for the work your team needs to do. Keep the first release focused on a useful, reviewable outcome.
System integrations
Review available APIs, data formats, permissions, and platform limits. Define how information moves between systems and what should happen when a connection or input fails.
Practical AI assistance
Evaluate AI for tasks such as organizing information or preparing drafts, with review points appropriate to the workflow. Define data access, output checks, and human responsibilities.
From the first conversation to the field
Choose a useful starting point
Select one workflow and define success in terms your team can assess. Document examples, constraints, and the decisions that remain with people.
Build and review
Develop the agreed first version and put it in front of the people who will use it. Review behavior with representative inputs and exceptions.
Refine and hand over
Address agreed findings, document ownership and support needs, and plan the next step based on what the working solution demonstrates.
A few useful answers
Before we
get started.
Does every automation project need AI?+
No. A straightforward integration, form, or rules-based process may be the better fit. We start with the work and use AI where its capabilities match the task and its outputs can be evaluated.
What informs your approach to AI projects?+
Our own internal workflow work informs a practical approach: define the task, test real examples, and decide where human review belongs. Each new project still needs its own assessment of requirements, data, and suitable tools.
How do you handle sensitive information and system access?+
We establish the data involved, access requirements, approved tools, and review responsibilities during scoping. Those decisions shape the design. An initial discussion can focus on the process without sharing sensitive records.
Let’s talk about your project