AI-first products for real-world operations

The Digital Garden builds AI solutions at the center of your workflows.

We ship practical automation: accessibility compliance that stays current, RFP triage that produces decision-ready summaries, and ML scoring pipelines teams can operate with confidence.

Evidence-first
Auditable outputs over guesses
Guardrails
Policy-driven automation
Deployable
Built for production ops
Featured
RFP Strategist Agent
Turn messy RFP inboxes into clear Go/No‑Go decisions
  • Inbox filters + dedupe state
  • Evidence collection (portals + public fallback)
  • Policy guardrails (hard NO‑GO rules)
  • Stakeholder-ready summaries on a schedule

Products

Three AI-first offerings designed to fit real workflows: compliance remediation, procurement triage, and batch scoring for student performance signals.

CivicScore AI Framework
Real-time accessibility & compliance remediation
  • Continuous WCAG 2.2 + Section 508 auditing
  • Web + PDF/Word + media coverage
  • Guided authoring and in-platform fixes
  • Automated remediation layers
Student Dropout Prediction
Event-driven batch scoring + drift awareness
  • Validated feature contracts + schema checks
  • Batch predictions with student ID joins
  • Timestamped artifacts for traceability
  • Drift metrics and investigate signaling

CivicScore AI Framework

Continuous accessibility and compliance remediation across enterprise content.

What it does

Continuous audit
  • Scans web experiences, portals, and interfaces for accessibility barriers
  • Audits uploads like PDFs and Word documents (including dense text)
  • Tracks changing standards (WCAG 2.2 AA/AAA, Section 508)
Automated fixes
  • Automated remediation layers for common issues (where safe)
  • Consistent output formatting for audits and reporting
  • Audit trails for governance and compliance teams

Core features

Coverage
  • Web content: pages, components, forms, and navigation
  • Documents: PDF and Word upload pipelines
  • Media: video/audio workflows (captions and alternatives)
Governance
  • Compliance scorecards by site, department, and content type
  • Prioritized remediation queues and ownership assignment
  • Prompt guardrails to keep remediation on-policy
Reporting
  • Regulatory-aligned findings with severity and impact
  • Exportable reports for audits and procurement requirements
  • Continuous monitoring to prevent regressions

RFP Strategist Agent

Turn procurement digests into decision-ready summaries—automatically.

How it works

1) Ingest
  • Connects to Outlook (Microsoft Graph) or Gmail
  • Applies filters, sender exclusions, and dedupe state
  • Schedules runs or executes dry runs (no email send)
3) Decide
  • GO / NO‑GO / MAYBE with policy guardrails
  • Capability-fit scoring against your team profile
  • Traceable reasoning with JSONL orchestration logs

Use cases

RFP triage
  • Structured opportunity lists instead of scrolling emails
  • Deduped processing so nothing gets reviewed twice
  • One clean summary per opportunity
Capability fit
  • Resume/capability matching against your services
  • Hard policy overrides for consistent NO‑GO rules
  • Memory search over past decisions (ChromaDB)
Procurement monitoring
  • Scheduled runs that keep stakeholders in the loop
  • Evidence URLs and snippets for quick verification
  • Optional delivery via Resend (or silent dry runs)

Deployment

Private worker
  • Designed to run as a private VPS worker
  • Environment-managed secrets for OAuth/API keys
  • Local dedupe state and local decision memory
Observability
  • JSONL orchestration trace logs per run
  • Configurable filters and policy profiles
  • Artifacts suitable for audit and reviews

Docs

Interfaces
  • MCP tools and orchestrator CLI
  • Provider integrations (Outlook / Gmail)
  • Resend delivery and dry-run outputs
Traceability
  • JSONL event schema and example traces
  • Evidence URL selection and ranking
  • Policy guardrails configuration
Security posture
  • Secrets, OAuth tokens, and least-privilege guidance
  • Private worker deployment recommendations
  • Data handling boundaries and retention

Student Dropout Prediction

Event-driven scoring pipeline with traceable artifacts and drift signals.

Highlights

Pipeline
  • Feature uploads trigger preprocessing and batch scoring
  • Predictions join back to student IDs for actionable output
  • Stable file contracts for downstream use
Drift
  • Early warning when production data shifts
  • Metrics suitable for alarms and dashboards
  • Investigate signaling for ops response

Ready to talk?

Tell us what you’re trying to operationalize. We’ll recommend the right product path and set up a live demo.

Email: outreach@thedigitalgarden.io