SETA and support staff, trained in AI.

The problem we solve

• Good people get buried in drafting, data entry and status reports.
• AI tools are everywhere, but few teams use them well or safely.
• Programs run for years and need continuity.

How the bots and the person work together

A QSI professional does not work alone. Each one runs a set of AI bots, set up for the role and working inside your rules and the accounts you approve.

• Drafting. Bots write first drafts of reports, emails, briefings and documents.
• Research. Bots gather and summarize sources, standards and past work.
• Data entry. Bots fill trackers, logs and forms from approved sources.
• Scheduling. Bots track deadlines, propose meetings and prepare reminders.
• Reporting. Bots build status reports and dashboards on a set rhythm.

The person directs the work, checks every output and approves what goes out. Our people work alongside AI tools to get more done. A person reviews and approves every output. This describes how QSI professionals are set up to work, not a measured result.

What the research shows

• In a preregistered experiment with 453 college-educated professionals, ChatGPT cut time on writing tasks by 40 percent and improved output quality by 18 percent (Science, 2023).
• Customer support agents with an AI assistant resolved 14 percent more issues per hour on average, and novice and low-skilled agents 34 percent more (NBER, 2023).

These studies measured single tasks, not whole jobs. QSI builds on them by giving each professional bots for many routine tasks at once, with a person reviewing the work.

Roles QSI fills

• Engineers, testers and integrators.
• Program and project managers.
• Data scientists and analysts.
• Cyber security staff.
• HSI field support representatives.
• SETA and acquisition program support. Advisory support in support of your program, from planning through sustainment.
• Trainers and course designers.
• Embedded AI governance engineer. A full-time QSI engineer for clients of QSI Six™, front office system for small, medium and large businesses.

Trained before day one

QSI's standard: every QSI professional completes QSI's AI readiness training before placement. It covers:

• Prompting. Writing clear instructions and checking AI output.
• Retrieval-augmented generation (RAG). Grounding AI answers in your approved documents.
• AI-assisted workflows. Running bots for drafting, research, data and reporting.
• Data handling and security. Protecting sensitive information and following your rules.

QSI's AI readiness training is in development. QSI professionals may hold or pursue public credentials matched to their role, such as CompTIA Security+, the PMI Project Management Professional (PMP) or Google Cloud certifications. Credentials are earned by individuals from the issuing organization. QSI will name a credential for a team member only after that person has earned it. QSI is not affiliated with, endorsed by or a partner of Google, and Google does not certify QSI.

Our training standard

Our team training plan includes these certifications. Each certificate is issued by its own provider:

• Google AI Essentials (Google, on Coursera). grow.google/ai-essentials
• Google Prompting Essentials (Google, on Coursera). coursera.org
• Generative AI Leader (Google Cloud certification). cloud.google.com
• Prompt Engineering Specialization (Vanderbilt University, on Coursera). coursera.org

Credentials are earned by individuals from the issuing organization. QSI is not affiliated with, endorsed by or a partner of Google or Vanderbilt University.

How it will work

Outcomes: cost, schedule, performance

QSI has no results to report yet. These are the measures QSI plans to track and report to you for each engagement.

• Cost: hours from start date to independent work.
• Schedule: days from signed scope to person on site, and deliverables on time.
• Performance: training completed before placement, work reviewed and approved, and access reviews on schedule.