Solutions
AI and software consulting
Sometimes the useful thing is not a build. It is a clear view of where AI would help, where it would not, and what it would take to do it properly.
What an engagement usually covers
- Review of the workflows where AI or better software would make a difference
- A clear assessment of which ideas are worth pursuing now and which to hold back
- Technical approach: build or buy, model choice, data and integration requirements
- Implementation planning with sequencing and the decisions each stage depends on
- Guidance for teams already building, including review of an existing approach
Scope varies by engagement. This describes the kind of work involved rather than a fixed package or delivery schedule.
Examples of the kind of work
Examples- Assessing several proposed AI initiatives and recommending where to start
- Advising on the technical approach for a system before development begins
- Reviewing an in-progress build and identifying what needs to change
Typical examples of the problems this work addresses. Every engagement is scoped to your needs.
Also relevant
The rest of what we do
These areas rarely stand alone. Most projects combine two or three of them.
AI-powered software
Applications that bring AI into business tasks and user experiences.
AI automation
Reduce repetitive work and connect business workflows.
Software engineering
Build the applications and integrations surrounding the solution.