Everything a prime or an acquisition team needs to put us in a file.

Innovations24 LLC (Houston, Texas) is the AI and enterprise-architecture practice of Jakub Marciniak: Capex-to-Cash AI Transformation, measurable by milestone, for public agencies and public enterprises. NAICS 541512 (primary). Small business.

Innovations24 helps agencies and public enterprises tie each AI investment to the budget it draws on and the mission result it delivers. Innovations24 for Government is our brand for public agencies and public enterprises. We bring the same Capex-to-Cash method to government work: a business case in the terms the agency's budget office uses, a pilot designed as a controlled experiment, and delivery on the cloud the agency has authorized, with the evidence the rules ask for at every milestone. Our services: AI & Agents, Data & Commercial Platforms, ERP & Business Applications, Cloud, OT & Digital Twins, Self-Funding AI, Portfolio & Capital Governance, Enterprise Strategy & Architecture and Physical AI. Innovations24 LLC is registered in SAM.gov (UEI D2FBR861BT43, CAGE 1A8T0), with primary NAICS 541512, and is a small business under applicable SBA size standards.

Spend that scales once a controlled pilot has measured the effect: agents and copilots for program, back-office and public-facing work, built in your agency's tenant on the cloud services your authorization covers. Rules this work is mapped to: OMB M-25-21, M-25-22, Texas TRAIGA. Representative work: our own opportunity-intelligence platform on Azure monitors 10+ public sources and runs 93 backend tests (internal R&D); for a manufacturing sales organization, an AI vision pipeline changed the lead-to-outreach cycle: 15–20 days → 3–5 days (the client's own before-and-after figures, directional).

One governed set of figures for reporting, the financial close, open-data publication and AI, each traceable to its source: a lakehouse on Databricks or Microsoft Fabric inside the cloud your agency has authorized. Rules this work is mapped to: Evidence Act, CJIS, IRS Pub 1075. Representative work: the finance function of a Fortune 50 energy, oil and gas company moved onto Microsoft Fabric and Power BI, with manual reporting 80% less, month-end close 4 days → 1 day and total time to approval 2 days → 1 hour.

A path to fewer systems to fund and maintain: Dynamics 365 and the Power Platform in GCC, GCC High or DoD, and SAP S/4 HANA on the platform your agency runs, with the ERP kept as the master record and its data, integrations and controls made ready for consolidation. Rules this work is mapped to: EO 14249, Do Not Pay, ADA Title II. Representative work: a Houston plastics manufacturer moved onto Dynamics 365 Business Central, with month-end close 4 days → 2 days and licensing cost 20% lower; a supplier to U.S. municipal water and wastewater utilities prices its offers on a Dataverse model (4 custom Dataverse tables, built under our own solution publisher).

Digital twins for the assets whose downtime or maintenance cost justifies one: Azure Government foundations, operational technology data and twin pilots inside your agency's authorization boundary, started where your data already is. Rules this work is mapped to: FedRAMP, OMB M-26-14, AWIA §2013. Representative work: our own Azure platform, deployed as code in 14 Bicep modules (internal R&D). Current engagement (November 2026): an Inventory Excellence digital twin to facilitate scheduling, trading and hedging, for a Fortune 500 integrated Energy, Oil & Gas company.

Savings that help fund the AI roadmap, found in the licenses and applications your agency already pays for: a teardown that starts from your inventory and ends in a savings register. Rules this work is mapped to: MEGABYTE Act, OMB M-26-10, MGT Act. Representative work: licensing cost 20% lower after a Houston plastics manufacturer consolidated its point tools, and 40+ applications consolidated under the managed-services contract we scoped and tendered for a German pharmaceutical manufacturer.

Each investment case built in the terms OMB uses and tracked for value once it is funded: capital planning discipline from intake to outcome, with stage gates and a working portfolio office. Rules this work is mapped to: OMB A-11, A-94, Tex. Gov. Code §2054.303. Representative work: for a Fortune 50 energy, oil and gas company, 300+ projects/year brought under one governance model across a $250MM annual IT portfolio, with compliance exceptions 40% fewer, the delivery schedule 30% faster and PMO maturity Level 1 → Level 4 on the OPM3 scale.

What your investment review asks for, owned by one accountable architect: the business case, the target architecture, the AI risk screen and the roadmap. Rules this work is mapped to: NIST AI RMF, FedRAMP classes, Texas SB 1964. Representative work: requirements engineering, the RFP, shortlisting, interviews and vendor scoring for a German pharmaceutical manufacturer's managed-services contract (5-year contract, covering a Microsoft Enterprise Agreement of 5,000 seats).

A payback case and a safety case before your agency commits capital to robots, drones or vision systems at scale: one inspection route, vision station or robot task in a public facility, proven in simulation and then on site. Rules this work is mapped to: Drone Act, OMB M-26-16, ISO 10218. When federal funds are involved, we screen every drone option against the federal prohibited-source rules before it enters the comparison.

Representative past performance, each case labelled. (1) A Fortune 50 energy, oil and gas company, enterprise PMO and portfolio management (client delivery): compliance exceptions 40% fewer, delivery schedule 30% faster, 20 hrs/month returned to the PMO. (2) The same company's finance function on Microsoft Fabric and Power BI (client delivery): manual reporting 80% less, month-end close 4 days → 1 day, total time to approval 2 days → 1 hour. (3) A German pharmaceutical manufacturer, requirements engineering, RFP and vendor selection for a managed-services contract (client delivery; 5-year contract, 5,000 seats): 40+ applications consolidated and 36 technical resources redeployed. (4) A supplier to U.S. municipal water and wastewater utilities, offer pricing on a Dataverse model (client delivery): ~28 offers modelled across ~14 US states, model fit R² up to 0.999 · mean error as low as 0.7% on historical offer data. (5) Our own opportunity-intelligence platform on Azure (internal R&D): 10+ monitored public sources, 93 backend tests, 14 Bicep modules. Clients are described by size and sector; references and scope confirmations are available on request.

Point of contact and key personnel: Jakub Marciniak, MBA, MA, AI & Technical Advisor, in enterprise technology since 2007. Credentials: Microsoft Azure Solutions Architect Expert; Microsoft Azure AI Engineer Associate (Microsoft retired this certification on June 30, 2026); Microsoft Azure Data Engineer Associate; Microsoft Dynamics 365 Field Service Specialist; Microsoft Teams Administrator Associate; PMP (PMI); PRINCE2 (Axelos); ITIL v3 (Axelos); PMD Pro (PM4NGOs). Education: MBA, Global Management, Thunderbird School of Global Management; MA, Sociology (empirical research), University of Mannheim. Teaches graduate project management at Rice University (since 2023). University of Illinois: advisor for AI and technology to the Net-Zero Center of Excellence, an advisory role held by the principal and listed here as key-personnel experience. Languages: English, German, Polish.

We deliver AI systems in the terms current federal and state policy uses. OMB M-25-21: We produce the evidence an AI impact assessment asks for: the expected benefit against the current process, the costs and expected savings, the pre-deployment test results and the monitoring plan, and your agency's reviewers make the determinations. OMB M-25-22: Our contract terms keep your data out of model training without your written consent, keep your data and the work we build for you portable, make knowledge transfer a deliverable, and give a performance-based contract a pre-registered measure it can use. OMB M-26-04: For every model we deploy, we gather the vendor documentation your acquisition team requests under M-26-04, such as the acceptable use policy and model or system cards, and set up the user-reporting route your policy describes. NIST AI RMF 1.0 (under revision) and NIST AI 600-1: We map the delivery to the NIST AI RMF and its Generative AI Profile, and keep the risk screen, the test results and the review records with your team. FedRAMP: We build production on cloud services that hold FedRAMP authorization in the cloud your agency uses and record each one's status in the blueprint, so your agency's own authorization starts from the provider's assessed package. Zero trust (OMB M-22-09): We design identity, network and data-boundary controls on zero trust principles: phishing-resistant MFA, conditional access and least privilege. Section 508: Every user-facing screen we build for a federal agency is designed and tested to WCAG 2.0 Level AA, the version the Revised 508 Standards incorporate, or to a later version your contract names, with the test results handed over with the deliverable. Texas SB 1964: When a system will make, or be a controlling factor in, a decision about access to a government service, we document whether it meets the heightened-scrutiny definition for your agency's inventory, draft the risk assessment DIR's rules ask for, write the impact assessment Texas asks of a state agency and its vendor (or the review a local government completes), and prepare DIR's standardized notice for your agency to publish.

Legal name: Innovations24 LLC Brand: Innovations24 for Government Registered address: 5900 Balcones Drive, Ste 100, Austin, TX 78731 Headquarters: Houston, Texas Point of contact: Jakub Marciniak, AI & Technical Advisor · +1 (832) 775-8397 · info@innovations24.us Web: https://innovations24.us · https://www.innovations24.com UEI: D2FBR861BT43 · CAGE: 1A8T0 SAM.gov: entity registration active; representations and certifications furnished at the solicitation level NAICS: 541511, 541512 (primary), 541513, 541519, 518210, 541611, 541618, 541990, 611420 PSC alignment: DA01, DA10, D302, D307, D310, R408 Business size: small business under applicable SBA size standards Statements for the file (authorizations, socio-economic status, contract vehicles): the Capability Statement and https://innovations24.us/#verify