Our Services

We design, build, and ship production AI systems. Custom applications, multi-agent orchestrations, Model Context Protocol (MCP) servers, and Retrieval Augmented Generation (RAG) systems.

Every AI system we build invludes evaluation infrastructure from day one: golden datasets, LLM-as-judge scoring, retrieval accuracy metrics, and monitoring for behavior drift. Governance requirements translate into enforced system behavior.

What this can include:

• AI application and system builds

• Organizational AI readiness assessment across four dimensions: program design, community voice, data infrastructure, and AI capacity

• AI use case evaluation and planning

• AI policy development grounded in your team's actual practice

• Community accountability frameworks for AI adoption

We deliver AI and data literacy for teams and grantee cohorts, and we advise leadership on AI readiness, governance, and policy development for organizations navigating adoption.

Training curricula are designed around participants actual workflows rather than generic AI overviews. Advisory engagements produce concrete artifacts.

What this can include:

• Tailored data and AI literacy curriculum development

• Workshops on data collection, data storytelling, and nonprofit metrics

• AI fundamentals sessions: how models work, where bias enters, how to evaluate outputs critically

• Hands-on training using your organization's actual data and tools

• Facilitator guides and training materials your team can reuse

• Multi-session cohort programs for foundations and intermediaries

We build the data backbone your organization runs on, Custom CRMs, case management platforms, participant tracking systems, and operational databases. built with or without an integrated LLM layer for natural-language querying and automated narrative generation.

When commercial platforms cost more than your orgatizaion can absorb or lock your data behind vendor licensing, we build owned infrastructure on a stack that fits your teams capacity. Every system includes role-based permissions, audit trails, and data governance patterns aligned with your compliance requirements.

What this can include:

• Production data systems,

• Schema and data model documentation

• Migration from legacy systems

• Performance dashboards tracking program metrics across service areas and time periods

• District and geographic performance tracking

• Funder-facing impact visualizations

• Interactive reports for community presentations

• Tools built in Power BI, Smartsheet, and Excel depending on your infrastructure

We design and lead applied research, mixed-methods evaluation, community participation processes, and strategic planning grounded in the voice of the people the work is meant to serve.

Every engagement pairs technical rigor with community proximity. Stakeholder interviews and community listening sessions inform the design of dashboards and metrics. Finding translate into strategic recommendations, board and funder deliverables, and public-facing communications appropriate to the audience.

What this can include:

• Research and evaluation plan, primary and secondary collection, mixed-methods analysis

• Community listening sessions and focus groups

• Survey design and community data collection

• Facilitation of visioning and planning processes

• Community voice synthesis and reporting

• Strategic plans that connect community priorities to organizational action

We build the dashboards, reports, and data pipelines that let your team, your hard, and your funders actually see the work. We design for the specific audience reading the output.

What this can include:

• Production dashboards

• automated reporting infrastructure, ETL pipelines connecting source systems

• Documentation of metric definitions and dat lineage

• Staff training and interpretation and maintenance