Integrity
Be clear about commitments, limitations and decisions. Handle client and user data responsibly, and make important changes traceable.
Integrity, collaboration, innovation and empathy shape how we work with clients, make product decisions and design systems for users.

They influence how we handle data, work with users, choose technology and decide what should or should not be automated.
Be clear about commitments, limitations and decisions. Handle client and user data responsibly, and make important changes traceable.
Work with the people who understand the problem. Users, partners and communities should have a meaningful say in systems that affect their work.
Use AI, data science and new engineering approaches when they solve a defined problem, not simply because the technology is available.
Design for the devices, connectivity, skills and working conditions people really have.
Who needs access? What data is sensitive? What happens when connectivity fails? Who can review a decision? Who maintains the system after launch?
Protect sensitive data and match permissions to real responsibilities.
Build for the connectivity, devices and working conditions users have.
Leave partners with systems they can understand, operate and improve.
Tell us what your team is trying to do and where the current process is falling short.
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