For-profit
Software and non-software implementation tracks
Hype is not the plan. Productivity gains are. We split this track so each function gets workflows that fit real operating constraints.
Jump to for-profit detailsServices
Practical AI training and implementation support across three tracks
Programs are split into non-profit, for-profit, and public sector tracks. Every engagement is designed around your current workflows so AI becomes useful quickly and responsibly.
Non-profit
Mission delivery, writing, research, and workforce readiness
Practical support for grants, reporting, research, and community-facing programs, with human review kept central.
Jump to non-profit detailsPublic sector
Responsible adoption for agency operations and workforce programs
Build trusted processes that improve throughput while staying aligned with policy, accountability, and public outcomes.
Jump to public sector detailsFor-profit track
Split into software engineering and non-software engineering programs
The hype around AI can be loud and distracting. What matters is measurable productivity and quality gains in the workflows your teams already own.
Software engineering program
Implement practical AI support for planning, coding, testing, and documentation with human review at every critical checkpoint.
- Code assistance patterns that reduce cycle time and rework
- Testing and QA acceleration without lowering quality bars
- Technical docs and triage workflows that keep teams aligned
Non-software engineering program
Equip operations, sales, support, recruiting, and leadership functions with low-friction AI systems that improve output consistency.
- Process automation for repeatable internal operations
- Writing and communication workflows for faster execution
- Decision support templates with clear human oversight
Non-profit track
AI for mission outcomes, not hype cycles
Support staff and community partners with workflows that improve writing quality, research speed, and program delivery. Focus on practical gains that free up time for mission-critical work.
- AI-assisted writing systems for grants, reports, and communications
- Research acceleration with verification and source-checking habits
- Training for mixed technical backgrounds across teams and partners
- Community-centered workforce readiness curriculum options
Public sector track
Responsible AI adoption for agencies
Improve internal productivity and service delivery with clear safeguards. The hype is not the objective; better turnaround time, better clarity, and stronger workforce capability are.
- Workflow redesign for policy-sensitive writing and research tasks
- Program operations support with transparent review checkpoints
- Upskilling plans for staff with mixed levels of technical fluency
- Workforce development program support for community participants
Agentic systems
Where agents help today and where caution is still required
We are still early in the agentic game, and there are many uses where it is simply not up to snuff yet. But for some uses, like software engineering support and structured workflow automation, agents are already showing promise and return.
- Promising now: code assistance, documentation workflows, triage, and repetitive operations tasks.
- Use with caution: high-stakes decisions, ambiguous policy interpretation, and unsupervised outreach.
- Delivery model: prototype quickly, validate with humans, then scale only what proves value.
Introductory courses available
AI Foundations for Teams
Understand model capabilities, risks, and best practices for day-to-day work.
AI in Writing and Research
Create faster first drafts, improve revision quality, and keep sources accountable.
AI for Software and UX Workflows
Use AI in discovery, prototyping, coding, and QA while maintaining human oversight.