Alliant 2 is the General Services Administration's flagship Government-Wide Acquisition Contract for large-scale, complex, integrated information technology. It is one of the few federal vehicles designed from the ground up to support enterprise-grade, multi-year IT programs that span systems engineering, applications development, infrastructure, cybersecurity, and emerging technology — all delivered together by a single accountable prime. The program ceiling is approximately $75 billion across the Alliant 2 base period and option years, and it is designated production-grade (BIC) by the Office of Management and Budget, meaning agencies are encouraged to use it before defaulting to lesser vehicles.
For federal AI work, Alliant 2 matters because most consequential AI deployments inside the government do not happen as standalone projects. They happen inside larger IT programs: an enterprise data platform modernization that adds an ML inference layer; a case management system overhaul that adds an agentic triage workflow; a financial system replacement that builds anomaly detection into the audit trail. These are integrated IT programs, and they belong on a vehicle built for integration. Alliant 2 is that vehicle.
Alliant 2 structure and scope
Alliant 2 is a single-pool, unrestricted IDIQ. There are approximately 60 prime holders, all of whom won seats through a scored competition based on relevant federal experience, financial capacity, systems and processes, and technical approach. The contract permits both fixed-price and cost-reimbursable task orders, gives agencies fee-for-service ordering, and allows ordering periods that extend well beyond the base contract period.
The technical scope of Alliant 2 spans the full IT lifecycle. The most important categories for AI work:
- Enterprise application services — designing, building, modernizing, and operating mission applications. This is where AI features get embedded into systems agencies actually use every day.
- Data and information services — data engineering, analytics platforms, master data management, modern lakehouse architectures. AI/ML pipelines live here.
- Infrastructure services — cloud migration, hybrid environments, accredited landing zones. AI workloads need the right substrate, often FedRAMP High or DoD IL5.
- Cybersecurity services — including AI-augmented detection, automated response, and assurance for AI systems themselves.
- Emerging technology — explicitly called out in scope: AI, ML, RPA, advanced analytics, blockchain, IoT, AR/VR, quantum-adjacent capabilities.
Why Alliant 2 fits AI integration work
Most federal program offices buying AI today are not buying a model. They are buying a working capability integrated into their environment. That capability needs ATO, identity integration with agency IDP, network paths through the boundary, observability into the SOC, change management through the agency CCB, and operations and maintenance for years. Alliant 2 was designed to acquire exactly that — full-lifecycle, integrated, multi-year IT delivery.
The alternative — running a one-off AI prototype on a smaller services vehicle, then trying to bolt it onto an existing program — almost always fails to scale. The connective tissue between the AI capability and the rest of the IT estate is where most projects die. Alliant 2 keeps that connective tissue inside the same task order.
How Precision Federal plugs into Alliant 2
Precision Federal is a specialist AI small business. We are not currently an Alliant 2 prime. The path to delivering AI on Alliant 2 task orders runs through prime partnership:
- Prime targeting. We map Alliant 2 primes against active and forecasted task orders where AI is on the critical path — modernization programs at Treasury, HHS, DHS components, and DoD agencies that consume Alliant 2 heavily.
- Capability fit brief. We provide the prime with a tailored brief showing how our AI delivery model — production ML, agentic systems, data engineering — fills a specific gap in their proposed solution.
- Past performance anchor. Our SAMHSA production ML engagement is the past performance the prime references when scoring requires demonstrated, recent, federally-relevant AI delivery.
- Teaming agreement. Before task order proposal submission, we execute a teaming agreement that defines scope, pricing, small business credit, and post-award subcontract terms.
- Delivery. On award, we own the AI technical scope: model design, training pipelines, evaluation harness, deployment to the accredited environment, monitoring, drift detection, and steady-state operations. The prime owns program management and the prime contract relationship.
Task orders where we add the most value
The Alliant 2 task orders best suited for an AI specialist small business partner:
- Enterprise modernization programs that include an AI/ML capability the prime cannot staff deeply from internal bench.
- Data platform consolidations where the next phase is operational ML — forecasting, classification, anomaly detection, retrieval-augmented generation across consolidated data.
- Mission application overhauls that add agentic workflow to reduce analyst toil — case routing, document review, prior-authorization triage, IT service management.
- Cyber programs that need AI-augmented analytics on the SIEM/SOAR layer or assurance work on the agency's own AI systems.
- Cloud migration task orders where post-migration value depends on landing AI workloads in the new environment correctly the first time.
The on-ramp question and Alliant 3
Many small businesses ask whether they should pursue Alliant 2 primacy through an on-ramp, or wait for Alliant 3. The honest answer for a firm at our stage is: neither, yet. The Alliant 2 on-ramp is highly scored on relevant federal program past performance at scale — typically tens of millions of dollars per cited contract — and on financial and systems maturity that favors firms with hundreds of employees and multiple years of audited federal financials. Alliant 3 is expected to follow a similar evaluation philosophy.
The right play for an AI specialist at our stage is to build the past performance, the financial track record, and the systems maturity through SBIR Phase II and III, prime partnerships on Alliant 2 task orders, and other vehicles where the entry barrier matches our current scale. Then, when an Alliant 2 on-ramp or Alliant 3 evaluation arrives, we compete with real, recent, federally-cited integration past performance — not aspirations.
When Alliant 2 is the right vehicle
Alliant 2 is the right path when the work is:
- Large-scale and integrated. Not a single AI prototype, but an enterprise IT program where AI is one of many components.
- Multi-year. Steady-state operations, sustainment, and iteration over the program life — not a one-shot study.
- Cross-functional. Spans applications, data, infrastructure, security, and emerging technology in one accountable delivery.
- BIC-preferred. The agency wants a production-grade vehicle for compliance with category management policy and faster award timelines than full and open competition.
For pure AI advisory or applied ML services without the broader IT integration scope, OASIS+ is often a better fit. For commodity IT and product-led purchases, NASA SEWP or the GSA Multiple Award Schedule are typically faster. For prototype and rapid-acquisition AI work, Other Transaction Authority consortia and SBIR are the speed paths. For health-led IT services with strong small business participation, CIO-SP4 is often where program offices land.
Internal links to related work
Alliant 2 task orders that touch our capability portfolio: agentic AI, applied machine learning, data engineering, cloud architecture in GovCloud and Azure Government, and DevSecOps. We have agency-specific approaches for DHS, HHS, Treasury, and DoD components, all of which are heavy Alliant 2 users. For deeper analysis of where AI fits inside Alliant 2 programs, see our insight on federal AI contract award trends.
How to engage us as an Alliant 2 prime
If you are an Alliant 2 prime with an AI-heavy task order in pursuit and you need a specialist small business AI partner, the fastest path is a direct email to the founder. We respond the same day with a tailored capabilities brief, a proposed technical approach for the specific task order scope, and the past performance citations and key personnel resumes you need to include in your proposal. Teaming agreements can be executed inside a week when the opportunity warrants it.