What we deliver for public institutions.
Every capability below is grounded in delivered work — and named the way solicitations name it: custom computer programming and systems design services (NAICS 541511/541512), application development support (PSC DA01), delivered on Microsoft Azure, Microsoft 365 and Dynamics 365.
AI solutions grounded in your data — engineered, governed, explainable.
We design and build applied-AI systems on Azure OpenAI and Microsoft Foundry: retrieval-augmented generation over agency documents, task-specific agents with file search and structured outputs, document intelligence pipelines, and decision-support dashboards coupled to live data.
- Azure OpenAI solution architecture, including two-tier model strategies with cost governance enforced in code
- Microsoft Foundry agents with document grounding and strict, auditable output contracts
- Vector search on Azure SQL and Azure AI Search; embedding pipelines; OCR fallback with Azure Document Intelligence
- Model evaluation, uncertainty communication and human-in-the-loop review patterns
- AI-workflow cybersecurity: training-data provenance, pipeline integrity, access management, end-to-end auditability
- Model-agnostic by design — OpenAI, Google, Microsoft and Anthropic models, as agency policy permits
Evidence: GovCon Opportunity Intelligence Platform · AI vision business-development pipeline · municipal water ML pricing platform
Platform facts your ATO team will ask about
- Azure OpenAI holds FedRAMP High authorization in Azure Government (September 2024) and DoD IL4/IL5 provisional authorization; IL6 authorization followed in April 2025. Source
- Current-generation GPT models are deployable in US Gov Virginia and US Gov Arizona regions. Model list
Verified July 2026 — availability evolves; we confirm against Microsoft Learn at engagement start.
Copilot creates value only where your data is governed.
OneGov entitlements put Copilot within reach of most agencies — for a limited window. We run the readiness work that determines whether it delivers value or creates risk: what Copilot can see, what it should see, and whether your people adopt it.
- Oversharing assessment and remediation across SharePoint and OneDrive
- Sensitivity labels, DLP and information protection with Microsoft Purview
- Staged rollout waves with measured adoption, champions and training
- Copilot Studio and declarative agents for high-value workflows
- Per-cloud feature planning — GCC, GCC High and DoD availability differ
Copilot availability, by government cloud
| GCC | Generally available December 13, 2024 |
|---|---|
| DoD (IL5) | Available summer 2025 |
| GCC High | Generally available December 2025 |
Per Microsoft public-sector announcements; feature parity varies by cloud. Verified July 2026.
Business applications that replace spreadsheets, not people.
We deliver Dataverse data models, model-driven and custom Power Apps (including Code Apps with React front ends), Power Automate workflows, and the application lifecycle management that keeps it all governed — from environment strategy to solution packaging.
- Dynamics 365 and Power Platform delivery in commercial and GCC environments
- Dataverse schema as repeatable infrastructure-as-code under our own solution publisher
- Least-privilege security roles, auditing and records discipline by default
- Power Platform center of excellence: environment strategy, DLP policies, managed environments
- Legacy modernization: Access databases, spreadsheets and manual processes onto governed platforms
Evidence: municipal water pricing platform — 4 custom Dataverse tables, ML pricing engine, one-click proposal documents, full audit trail.
Decisions on numbers people trust.
A governed source of truth is the precondition for every AI ambition. We build lakehouse architectures on Microsoft Fabric, migrate legacy pipelines, and deliver real-time reporting that replaces days of manual reconciliation.
- Microsoft Fabric lakehouse design and migration (including SSIS-era pipeline modernization)
- Power BI semantic models, real-time dashboards and self-service enablement
- Data governance: catalogs, lineage, quality rules, role-based access across organizations
- FAIR-aligned research data foundations with provenance and access control
Evidence: Fortune 50 Energy, Oil & Gas finance data platform — 80% less manual reporting, month-end close from 4 days to 1, portfolio review from 2 days to 1 hour. Related energy PPM case.
Where this lands in government
- Grants and program reporting that reconciles itself
- Capital project portfolios with live cost and schedule signals
- Research data management plans implemented, not just written
- Audit-ready lineage from source to dashboard
Zero-secret architecture is our engineering default.
Everything we deploy is expressed as infrastructure-as-code with least-privilege identity — patterns that align with NIST-based control frameworks and shorten the path to authorization.
- Azure landing zones with Bicep — modular, what-if-validated, repeatable
- Managed identities everywhere: API keys disabled on AI services, no shared storage keys, Entra-only database authentication
- Key Vault, RBAC-as-code with stable role definitions, monitoring and alerting wired in from day one
- Cost governance: budgets, alerts and scale-to-zero serverless design
- Documentation and evidence artifacts that support your assessment and authorization process
Evidence: GovCon platform — 14 Bicep modules, keyless end to end, 93 backend tests, budget guardrails deployed with the workload.
What we do not claim
We are precise about compliance language: we build to NIST-aligned patterns and support authorization work — we do not hold or imply FedRAMP, CMMC or IL authorizations ourselves, and we say so in writing. Vendors who blur this distinction create risk for your program; we will not.
AI governance, by the current book.
Federal AI procurement is governed by a specific, current policy stack — and we build to it by name, not to the rescinded 2024 memoranda.
- OMB M-25-21 practices for high-impact AI: pre-deployment testing, AI impact assessments, human oversight with the ability to intervene, and performance monitoring in operation
- OMB M-25-22 acquisition stances we commit to contractually: no training or fine-tuning on government data without explicit consent; data and model portability; knowledge transfer that prevents vendor lock-in
- NIST AI RMF-informed risk treatment with documented test, evaluation, verification and validation (TEVV)
- Documentation readiness for model transparency requirements — model cards, acceptable-use policies, evaluation records
- Support for your agency AI use-case inventory and CAIO reporting obligations
Policy references current as of July 2026 — M-25-21 and M-25-22 replaced the 2024 memoranda; we track changes so you do not have to.
What this means in a deliverable
- An evaluation harness ships with the model — accuracy, drift and failure modes are measured, not asserted
- A human can always intervene, and the system can always be turned off
- Your data stays yours: no vendor training rights, exportable artifacts, documented handover
- Every AI decision path is auditable end to end
Multi-party programs need an operating system.
Complex public programs — university-led consortia, cooperative agreements, multi-vendor modernizations — fail on coordination before they fail on technology. We staff and run the program office that keeps them moving.
- Milestone- and deliverable-based schedules with clear lead assignments and decision gates
- Federal reporting discipline: program-officer coordination, risk registers with named mitigations
- Data Management and Sharing Plan authoring and operational implementation
- Portfolio governance maturity: demand intake, stage gates, benefits tracking
- Workforce enablement and change management, so tools become standard practice
Evidence: Fortune 50 energy PMO — 40% fewer compliance exceptions, 30% faster delivery schedules; governance maturity lifted L1 to L4. Leadership credentials: PMP, PRINCE2, ITIL v3, PMD Pro. public-program automation under deadline.
Compliance fluency we bring to the table
- FedRAMP, DoD impact levels and government cloud boundaries — spoken correctly, per environment
- Section 508 / WCAG accessibility as a delivery standard — VPAT/ACR documentation furnished
- Zero-trust architecture skills aligned to OMB M-22-09 — phishing-resistant MFA, conditional access, least privilege
- Procurement Integrity Act discipline — engineered into our own tooling
- 21 CFR Part 11 validated-environment delivery heritage (audit trails, e-signatures, data integrity)
- NIST AI RMF-informed AI governance and evaluation practices