Government & Public-Sector
Business Plan

1. Executive Summary

Newbloom AI LLC helps government, nonprofit, and mission-oriented organizations adopt artificial intelligence in practical, secure, responsible, and measurable ways. The company focuses on AI readiness assessments, workforce enablement, workflow automation, internal knowledge assistants, AI-supported reporting, and custom AI-enabled applications.

Newbloom AI is a Minnesota-based, veteran-owned LLC formed in 2024. The company is registered in SAM.gov (Entity ID XATMCA595DY6, CAGE Code 16PU9). Service-Disabled Veteran-Owned Small Business (SDVOSB) certification has been filed and is pending. The company is also registered as a bidder with the State of Minnesota, Hennepin County, and the City of Minneapolis procurement portals.

Newbloom AI’s differentiator is practical implementation experience. Its founders have built and operate production AI-enabled software products and apply that hands-on experience to short, focused engagements that help public-sector teams turn AI tools they already own into measurable productivity gains.

The company offers a procurement-friendly entry point — an Introductory AI Readiness Assessment designed as a low-friction, fixed-scope first engagement that can be tailored to the buyer’s purchasing authority, funding source, and internal procurement rules — as well as larger AI Adoption Sprints, Workflow Automation Pilots, Internal Knowledge Assistant builds, and ongoing implementation support. All offerings are designed around human-in-the-loop review, responsible-use practices, and outcome measurement appropriate for public-sector environments.

2. Company Overview

Newbloom AI is led by Ryan Newbloom (President, majority owner, service-disabled veteran) and Aaron Newbloom (Operations Manager). The company is built around hands-on AI implementation rather than abstract strategy, and its founders have direct experience designing, deploying, and supporting AI-enabled software in real operational use.

3. Mission

To help public-sector and mission-oriented organizations adopt AI in practical, secure, and measurable ways by identifying valuable use cases, building working solutions, and training teams to use AI effectively.

4. Public-Sector Value Proposition

Government and public-sector organizations face a recurring pattern: AI tools, AI-enabled subscriptions, and AI features inside existing software are now widely available, but staff workflows have not changed enough to capture meaningful value from them. The result is paid licenses without measurable productivity improvement, training gaps, inconsistent use, and uncertainty about responsible-use guardrails.

Newbloom AI helps public-sector teams answer three practical questions:

1. What AI tools and capabilities do we already have access to?
2. Which workflows can be improved safely and measurably?
3. How do we train staff, redesign processes, and implement useful AI-supported work without overcomplicating the organization?

The company’s focus is on short, scoped engagements that produce documented outcomes — trained staff, improved workflows, working pilots, reduced administrative burden, and clear next steps — rather than open-ended strategy work.

5. Government Status and Certification

Newbloom AI LLC is a veteran-owned Minnesota company. Ryan Newbloom is the company’s President, highest-ranking officer, and controlling decision maker for certification purposes.

The company is registered in SAM.gov (Entity ID XATMCA595DY6) with CAGE Code 16PU9 issued. Service-Disabled Veteran-Owned Small Business (SDVOSB) certification has been filed and is pending; external materials continue to use pending language for SDVOSB until final confirmation is received.

Newbloom AI is registered as a bidder with the State of Minnesota, Hennepin County, and the City of Minneapolis procurement portals and has begun applying to projects through those channels.

Newbloom AI’s founders built and operate Lot Lingo, an AI-enabled auction workflow product used by paying customers, and a companion early-access product, Lot Lingo Tracker. This product experience is referenced as proof of practical AI implementation capability rather than as a financial disclosure.

6. Recommended NAICS Codes

Optional secondary codes (used only where supported by actual scope): 541519 — Other Computer Related Services; 541618 — Other Management Consulting Services.

7. Core Capabilities

• AI readiness assessments.
• AI tool and workflow audits.
• AI literacy and workforce training.
• Prompt engineering and workflow design.
• AI adoption sprints.
• Custom AI-enabled application development.
• AI-supported reporting and analytics.
• Workflow automation.
• Data organization and reconciliation.
• Internal knowledge assistants and AI agents.
• Human-in-the-loop AI process design.
• Responsible-use guidance and staff workflow translation.

8. Best Initial Fit

Newbloom AI is best suited for public-sector teams that:

• Already have access to AI tools but are not seeing meaningful value from them.
• Manage repetitive, document-heavy, reporting-heavy, or communication-heavy workflows.
• Need practical staff training tied to real work rather than generic AI literacy.
• Want a low-risk pilot before larger implementation.
• Need human review, documentation, and responsible-use expectations built into the process from day one.

Teams that already have a clear, narrowly-scoped problem and an internal point of contact who can participate in discovery and review tend to see the fastest results.

9. Service Offerings for Public-Sector Buyers

9.1 Introductory AI Readiness Assessment (Procurement-Friendly Entry Point)

A fixed-scope, low-friction first engagement that can be tailored to applicable purchasing authority, funding source, and internal procurement procedures. Where appropriate, the scope may be structured below the applicable micro-purchase threshold, subject to the buyer’s rules.

Typical scope:

• Limited current-state review of selected tools and workflows.
• One stakeholder or team discovery session.
• Identification of practical AI use cases.
• Risk and readiness observations.
• Prioritized recommendations.
• Short written roadmap.
• Optional introductory staff training session, if scope allows.

Intended purpose: give a buyer a structured, evaluable first look at Newbloom AI’s approach before pursuing a larger AI Adoption Sprint, custom build, training program, or ongoing support engagement.

9.2 AI Readiness Assessment

A one-week structured assessment covering the organization’s current AI tools and licenses, workflow opportunities, data readiness, staff readiness, risks, and a prioritized AI adoption roadmap.

9.3 AI Adoption Sprint

A one- to three-week implementation engagement focused on training, workflow enablement, prompt and process design, and quick-win implementation. Designed to convert existing AI-tool access into actual operational use.

Typical activities:

• Audit of current AI tools and subscriptions.
• Workflow and process review.
• Identification and prioritization of high-value AI use cases.
• Staff training and onboarding.
• Prompt and workflow design.
• Implementation of quick-win automations.
• Recommendations for longer-term AI adoption.

9.4 Workflow Automation Pilot

A scoped pilot that takes one selected workflow and builds a working, measurable AI-supported or automation-supported process around it. Outcomes are documented, reviewed with staff, and handed off with usage and review guidance.

9.5 Internal Knowledge Assistant / AI Agent Build

Design and delivery of an internal AI assistant or agent grounded in agency-approved documents, policies, SOPs, or reference material. Includes human-in-the-loop review design, source citation patterns, and staff training on safe use.

9.6 Custom AI-Enabled Application Build

Scoped design and development of AI-enabled applications such as reporting tools, document analysis systems, intake or triage assistants, dashboards, or — where appropriate, and with clear review, escalation, accessibility, and approval controls — constituent-facing tools. Newbloom AI generally recommends starting with staff-facing applications before introducing constituent-facing ones. Scope, timeline, and pricing are defined per project.

9.7 AI Workforce Training

Practical AI literacy and workflow training designed for public-sector staff. Sessions can be delivered as standalone training engagements or as components of an Adoption Sprint or Pilot. Topics typically include responsible use, prompt design, tool selection, common pitfalls, and workflow integration.

9.8 Ongoing AI Implementation Support

Continued advisory support, training refreshers, workflow improvement, documentation, and new use case development after an initial assessment, sprint, or build.

10. Indicative Pricing and Procurement Pathways

Pricing reflects founder-led delivery, preparation, client meetings, workflow review, training materials, implementation work, documentation, and follow-up. Larger projects also account for subcontractor support, quality review, project management, data-handling requirements, insurance, and administrative compliance.

Newbloom AI is open to fixed-fee, weekly, milestone-based, hourly, or grant-aligned pricing structures where required by the buyer’s contracting vehicle, funding source, or agency rules.

Procurement-pathway note: The federal micro-purchase threshold is set by the FAR and is subject to update; Newbloom AI confirms the current applicable threshold and the buyer’s agency-specific rules before relying on a micro-purchase path. The company recognizes the differences between micro-purchase, simplified acquisition, and competitive procurement, and aims to make purchasing as straightforward as agency rules allow rather than overstating procurement ease.

11. Priority Public-Sector Use Cases

Newbloom AI’s capabilities are most directly applicable to the following public-sector workflow categories. Specific agency engagements will be validated through procurement research, agency priorities, and relationship development before being claimed as references.

11.1 State and Local Government Operations

Permitting, licensing, inspection, records management, constituent service, internal reporting, and document-heavy workflows where AI can reduce administrative burden, accelerate routine review, and improve consistency. Typical Newbloom AI service fits include AI Readiness Assessments, Workflow Automation Pilots, and Internal Knowledge Assistants for policy, code, or procedure lookup.

Concrete examples:

• AI-assisted permit or license application triage with staff review.
• Internal policy, code, or procedure assistant for clerks, inspectors, or administrative staff.
• Routine report drafting support using approved source documents.
• Records-search assistance for public-records, data-practices, or internal lookup workflows.

11.2 Public Workforce Development and AI Literacy

Workforce-development organizations, public training providers, and community colleges that need practical AI literacy training for staff, job seekers, small businesses, and public-sector employees. Newbloom AI delivers both standalone AI Workforce Training engagements and Adoption Sprints that combine training with applied workflow work.

Concrete examples:

• Practical AI literacy curriculum for staff and program participants.
• Hands-on prompt-design and tool-use workshops tied to real job tasks.
• Train-the-trainer sessions for workforce-development instructors.
• Small-business AI adoption training delivered through workforce or economic-development programs.

11.3 Public Universities, Community Colleges, and Training Providers

AI readiness assessments, curriculum support, staff training, internal workflow automation, and pilot tools for administrative offices, student services, and program reporting.

Concrete examples:

• Internal knowledge assistant for student-services staff using approved policy and program documentation.
• Reporting-support workflows for program outcomes and grant deliverables.
• AI literacy and responsible-use training for faculty and administrative staff.

11.4 Veteran-Serving Agencies and Programs

AI training, workflow modernization, document processing, reporting support, and administrative-efficiency improvements for organizations that serve veterans. SDVOSB-aligned framing is directly relevant in this category.

Concrete examples:

• Intake summary support with human review.
• Staff-facing knowledge assistant for benefits or program navigation.
• Reporting support for program outcomes and grant deliverables.
• AI-supported document processing for case files, with staff review.

11.5 Manufacturing Support and Economic-Development Organizations

Manufacturing extension programs, economic-development organizations, and small-business support organizations that need automation, data-process improvement, reporting tools, or applied AI training delivered to their small and mid-sized business audiences.

Concrete examples:

• Reporting and dashboard automation for program outcomes.
• Internal knowledge assistant for staff supporting small-business clients.
• Practical AI training cohorts for small and mid-sized manufacturers.
• Workflow automation pilots for repetitive administrative or reporting work.

11.6 Nonprofit and Mission-Oriented Public Partners

Nonprofits and mission-oriented organizations under contract or grant with public agencies, with intake workflows, grant reporting obligations, donor or constituent communications, case-management documentation, or program reporting needs that benefit from AI-supported productivity.

Concrete examples:

• Grant-reporting drafting support using approved program data.
• Intake-summary assistance for case managers, with human review.
• Internal knowledge assistant for program staff using approved policies and procedures.
• Donor or constituent communication drafting support.

11.7 Prime Contractors

Prime contractors that need an SDVOSB-aligned subcontractor with practical AI implementation, training, automation, and custom application-development capability for federal and state work.

Concrete examples:

• AI implementation and training scope under a larger prime task order.
• Custom AI-enabled application development as a subcontracted deliverable.
• Workforce AI literacy training as part of a broader workforce or modernization program.
• Workflow automation or internal knowledge assistant builds as a subcontracted scope.

12. Responsible AI and Human-in-the-Loop Implementation

Newbloom AI does not position itself as a policy creator for responsible AI. The company’s practical role is to help organizations understand, apply, and administer existing responsible-use policies, agency tool guidance, and AI adoption requirements within real staff workflows.

Implementation principles applied across Newbloom AI engagements:

• Human-in-the-loop by default. AI-supported workflows accelerate first-pass work; staff remain responsible for review, correction, approval, and any decisions of consequence.
• Source-grounded knowledge assistants. Internal AI assistants are built from agency-approved documents and reference material, with citation patterns appropriate to the use case.
• Scope-appropriate data handling and accessibility. Data sensitivity, hosting location, retention, access controls, accessibility expectations, and review requirements are scoped before work begins and aligned with the buyer’s policies.
• Documented workflows. Every implementation produces written documentation describing how the workflow operates, where AI is involved, and how staff should review outputs.
• Outcome measurement. Engagements define what will be measured (e.g., time saved, items processed, documents reviewed, staff trained) before delivery, and report against those measures at the end.
• Tool-portable skills. Training and process design favor durable practices over vendor-specific features, so improvements remain useful as AI tools evolve.

13. Past Performance and Relevant Experience

Newbloom AI is earlier in its government-contracting journey than its founders are in their applied AI journey. The company’s strongest current proof points are based on products built, applied AI experience, founder backgrounds, and early consulting activity.

Completed and relevant work:

• Built and operates the Lot Lingo product, an AI-enabled auction workflow platform used by paying customers (see §14 for detail).
• Built Lot Lingo Tracker, a companion AI-enabled product currently in open paid early access.
• Completed phone consultations for two manufacturing facilities related to automation proposals.
• Initiated outreach to additional organizations for potential pilot and consulting projects.
• Registered as a bidder with the State of Minnesota, Hennepin County, and the City of Minneapolis procurement portals.

The team’s practical experience comes from intensive daily use of AI tools and AI-powered development workflows over the last two years. Newbloom AI does not present itself as an AI research lab. Its accurate positioning is that it is expert in using AI, applying AI-powered tools, understanding how to leverage AI in business workflows, and helping organizations put those tools to work.

14. Proof Point: Lot Lingo

Lot Lingo is Newbloom AI’s most important proof point because it demonstrates that the founders have built and operated a real AI-enabled product that solves a specific operational problem for paying customers. It is included here to show practical implementation capability, not as a separate commercial offering to public-sector buyers.

What Lot Lingo is. An AI-powered auction workflow platform that supports complete auction creation: photo capture, mobile photo workflows, image editing, background removal, AI-generated lot titles and descriptions, automatic categorization, taxability and shippability assignment, voice-driven interaction, and platform-specific export workflows.

Human-in-the-loop design. Lot Lingo accelerates cataloging and prepares first-pass outputs; auction staff remain responsible for reviewing, correcting, approving, and exporting auction information. This mirrors the implementation philosophy Newbloom AI applies to public-sector engagements.

Current traction:

• 15 paying customers.
• Approximately 80% trial-to-paid conversion.
• Strong customer retention (effectively 100% except for customer business closure or platform departure).
• Approximately 2,000 auctions generated to date.
• Approximately 500,000 lots generated to date.

Customer-success example. Your Turn LLC, a Lot Lingo customer, reported that Lot Lingo reduced the time required to catalog a large home from approximately five days to one day. The efficiency gain helped the company take on more projects, hire additional staff, and include lower-value lots that previously may not have justified the labor required to list them.

Why this matters to public-sector buyers. Lot Lingo demonstrates that Newbloom AI’s founders can identify a real workflow problem, build an AI-enabled tool around actual user behavior, design human-in-the-loop review processes, deploy a product used by paying customers, and convert AI capabilities into measurable productivity gains. The same approach applies directly to government and public-sector workflows where staff are managing repetitive, document-heavy, image-heavy, or communication-heavy work.

15. Engagement Process

Newbloom AI’s typical engagement sequence with a public-sector buyer:

1. Initial conversation. Brief discovery call to understand the buyer’s workflows, current AI tool access, constraints, and procurement context.
2. Scoping. Written description of proposed scope, deliverables, timeline, indicative pricing, and procurement pathway aligned with the buyer’s rules.
3. Procurement-aligned engagement. Engagement structured to fit the buyer’s contracting vehicle (purchase order, low-dollar purchase, simplified acquisition, subcontract under a prime, or agency specific path).
4. Delivery. Founder-led delivery of the agreed scope, including staff time, workflow review, training, implementation work, documentation, and outcome reporting.
5. Outcome reporting. Written summary of what was delivered, what was measured, recommended next steps, and any handoff materials.
6. Optional follow-on. AI Adoption Sprint, Workflow Automation Pilot, Internal Knowledge Assistant build, Custom AI Application Build, or Ongoing AI Implementation Support engagement, scoped to the buyer’s priorities.

16. Differentiators

• Founder-led delivery with lean project structure.
• Practical implementation focus, not hype. Engagements produce trained staff, working tools, and documented workflows.
• Direct experience building production AI-enabled applications. Lot Lingo is in active paying use; Lot Lingo Tracker is in open paid early access.
• Day-to-day applied AI experience. Two years of intensive use of AI tools and AI-powered development workflows in real operations.
• Experience with complex data, business intelligence, automation, and marketplace operations.
• Helps organizations get more from tools they already own rather than pushing additional license purchases.
• Short, focused engagements designed to create quick, measurable value within public-sector procurement constraints.
• Veteran-owned and pursuing SDVOSB-aligned government opportunities.

17. Contact and Capability Briefing

Newbloom AI welcomes capability briefings, small-business office introductions, prime-contractor partnership conversations, procurement-officer Q&A sessions, and pilot-scoping discussions.

Web: newbloomai.com

Newbloom AI LLC is a veteran-owned Minnesota company registered in SAM.gov (Entity ID XATMCA595DY6, CAGE Code 16PU9). SDVOSB certification has been filed and is pending; the company expects to update SDVOSB language as soon as final confirmation is received.