GovDash

Automatically ingests federal contracting opportunities from SAM.gov via API polling or webhook integration, parsing unstructured opportunity data (NAICS codes, contract values, deadlines, requirements) into structured records. The system normalizes heterogeneous opportunity formats and deduplicates entries across multiple searches, storing them in a centralized database indexed by opportunity ID, agency, and deadline for real-time alerting and filtering.

Provides a structured proposal authoring environment with role-based task assignment, version control, and deadline tracking. The system maintains a library of reusable proposal sections (boilerplate, past performance narratives, technical approaches) indexed by opportunity type and NAICS code, enabling rapid assembly of new proposals by mapping opportunity requirements to pre-approved content blocks. Workflow state machines enforce review gates (compliance check → technical review → executive approval) with audit trails.

Parses RFP documents and contract statements of work (SOWs) to extract compliance obligations (security certifications, reporting requirements, audit schedules, data handling restrictions) using rule-based extraction and optional LLM-assisted parsing. The system maps extracted requirements to a compliance taxonomy (CMMC levels, ITAR, EAR, FAR clauses, insurance requirements) and creates trackable compliance tasks with evidence collection workflows, linking each requirement to responsible parties and deadline calendars.

Implements a state machine for contract progression (awarded → signed → active → closeout) with automatic milestone detection and deadline calculation based on contract terms. The system parses contract documents to extract key dates (performance periods, option periods, renewal deadlines) and creates calendar-based alerts for contract renewals, option exercises, and compliance reporting windows. Integration with proposal records enables automatic transition from proposal to contract upon award notification.

Maintains a searchable repository of past performance narratives (project summaries, client testimonials, performance metrics) indexed by contract type, NAICS code, and performance metrics (on-time delivery, budget performance, customer satisfaction). The system enables rapid assembly of past performance sections for new proposals by matching opportunity requirements to relevant past projects, with optional LLM-assisted narrative generation that synthesizes multiple project records into cohesive proposal text while maintaining compliance with FAR requirements for past performance claims.

Implements role-based access control (RBAC) with granular permissions for proposal teams, compliance officers, contract managers, and executives. The system enforces approval workflows where lower-privilege users (proposal writers) cannot submit without sign-off from higher-privilege users (compliance, executive), with audit trails recording who accessed, modified, or approved each artifact. Integration with identity providers (LDAP, Azure AD, Okta) enables single sign-on and automatic role provisioning based on organizational directory.

Creates structured evidence collection workflows for compliance requirements, with templates for common documentation types (security assessments, insurance certificates, certifications, audit reports). The system tracks evidence submission status, expiration dates, and renewal deadlines, with automated reminders for upcoming expirations. Integration with document storage (SharePoint, OneDrive, Google Drive) enables centralized evidence repository with version control and access logging for audit readiness.

Parses RFP documents using rule-based extraction and optional LLM-assisted parsing to identify key requirements (technical specifications, compliance obligations, evaluation criteria, submission deadlines). The system extracts structured data (deadline dates, page limits, required certifications, evaluation scoring) and maps requirements to internal capability statements, highlighting gaps where the firm may lack required certifications or past performance. Extracted requirements are stored in a searchable database indexed by requirement type and opportunity ID.

Tracks proposal outcomes (won, lost, withdrawn) and correlates with proposal characteristics (page count, past performance strength, compliance completeness, submission timing) to identify patterns in winning proposals. The system calculates win rates by opportunity type, customer, and proposal team, with optional feedback integration from customer debriefs. Analytics dashboards visualize trends (e.g., proposals with strong past performance have 15% higher win rates) to inform future proposal strategy and resource allocation.