Shadow AI already happening
Staff paste client content into consumer tools because no approved alternative exists.
Professional services
Secure AI and AWS foundations for professional services firms
Professional services firms want internal assistants and document workflows without exposing client materials to public consumer AI tools. We help you pick a narrow use case, pilot on Amazon Bedrock with real access controls and cost caps, and decide whether to harden for production.
Common challenges
Unclear data boundaries
Matter, client, and internal knowledge get mixed in one pilot index — creating permission and retention problems.
Demo-driven decisions
Leadership sees a flashy prototype without evaluation, cost controls, or an operating model.
Common AWS workloads
- Internal knowledge assistants over approved document corpora
- Document search, summarization, and intake workflows
- Identity-integrated access with audit logging
- Cost-capped Bedrock pilots with evaluation criteria
- Desktop or app access patterns for distributed delivery teams when needed
Outcomes we aim for
- Pilots legal and finance can approve
- Clear stop/go criteria after evaluation
- Production paths with monitoring and access reviews — or an honest recommendation to stop
Relevant services
- AWS AI & ML — Ship production AI on AWS with guardrails, clean architecture, and costs finance can follow.
- AWS Managed Security — Harden accounts and workloads with AWS-native controls and habits that stick.
- AWS End User Computing — Secure desktops and apps for distributed teams — without managing a fleet of hardware.
Working through a similar constraint?