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Federal AI procurement and evaluation

AI Tool Selection Comparison Framework — Federal Government Agencies

Use this framework to evaluate AI tools against your agency's mission, security, governance, and operating model requirements · Updated May 2026

11tools compared
4comparison groups
6decision rules

Operating lens

How to use this framework

Start with risk and mission fit, then move into deployment, procurement, and adoption tradeoffs. This sequence keeps evaluations honest and grounded in federal policy.

01

Filter by FedRAMP status

For any production workload involving federal data, prioritize tools with existing FedRAMP Moderate or High authorization. Tools without FedRAMP authorization require agency risk acceptance and additional ATO work.

02

Classify your use case first

Determine data classification level (Unclassified / CUI / Secret) before evaluating tools. This immediately narrows the eligible set and shapes procurement and deployment requirements.

03

Identify high-impact AI use cases

Per OMB M-25-21, AI systems whose outputs serve as a principal basis for consequential decisions (benefits, civil rights, enforcement, health) require pre-deployment testing, human oversight, and CAIO approval. Identify these before deployment, not after.

04

Evaluate vendor lock-in strategically

Tools rated High lock-in risk require deliberate contract protections: data portability rights, model/code ownership, interoperability requirements, and exit provisions. Per OMB M-25-22, agencies must address vendor lock-in risk across the acquisition lifecycle.

05

Match tool to mission context

No single tool is best for all uses. General-purpose LLMs excel at drafting and synthesis; enterprise search tools excel at knowledge retrieval; agentic platforms excel at workflow automation. Evaluate fit against your specific use case, not general reputation.

06

Maintain an AI use case inventory

Per OMB M-25-21, all agencies must maintain an annual AI use case inventory. Use this framework to document which tools are deployed, for what purpose, and at what risk level.

Framework category

General-Purpose LLM Assistants

General-Purpose LLM Assistant

ChatGPT (OpenAI) — Enterprise / Gov

Large language model assistant for drafting, summarization, analysis, code generation, and Q&A. Enterprise version offers data privacy controls; Gov variant targets federal security needs.

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FedRAMP / ATOFedRAMP In Process (Gov); Enterprise: SOC 2 Type II; agency ATO required for classified/SBU use
DeploymentSaaS (cloud); Enterprise self-hosted via Azure OpenAI available
Lock-in riskMedium — model ecosystem dependency; Azure OpenAI provides a more flexible deployment path
Primary federal use cases
  • Policy document drafting & editing
  • Meeting summarization & briefing prep
  • Research synthesis & literature review
  • Code generation & review
  • Training content development
Mission areas supported

Cross-agency mission support; administrative, policy, IT, HR, communications, and research functions

Data classification supported

Unclassified / CUI with Enterprise controls; not approved for classified without agency ATO

Key integrations
  • Microsoft 365 (via plugin)
  • REST API
  • Azure OpenAI Service (FedRAMP authorized path)
Primary user audience

Knowledge workers, analysts, policy staff, program managers, IT staff

Procurement + cost

Vehicle: GSA MAS IT Schedule 70; agency direct procurement; Azure Marketplace

Cost: Enterprise: per-seat/month; API: per token; Gov pricing varies by contract

Key considerations for federal agencies
  • Review data retention policies before use with CUI
  • Azure OpenAI offers a more controlled federal deployment path
  • Requires acceptable use policy and staff training
  • Monitor for model hallucination in high-stakes outputs
General-Purpose LLM Assistant

Claude (Anthropic) — Enterprise / API

Advanced LLM known for long-context processing, nuanced reasoning, and safety-focused design. Used for document analysis, policy review, research, and agentic workflows. Available via AWS GovCloud.

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FedRAMP / ATOAvailable via AWS GovCloud (FedRAMP High authorized path through Amazon Bedrock); agency ATO required
DeploymentSaaS; AWS GovCloud via Amazon Bedrock for federal-controlled deployments
Lock-in riskLow-Medium — deployable via AWS Bedrock alongside other models; API-compatible
Primary federal use cases
  • Long-document analysis & summarization (e.g., RFPs, regulations, reports)
  • Policy drafting and legal text review
  • Complex research synthesis
  • Agentic task execution
  • Secure code generation & review
Mission areas supported

Policy, legal, research, procurement, IT, program management, intelligence analysis (with appropriate controls)

Data classification supported

Unclassified through CUI via AWS GovCloud / Bedrock deployment; classified requires separate controls

Key integrations
  • Amazon Bedrock (primary federal path)
  • AWS GovCloud
  • REST API
  • Slack, Google Workspace (Enterprise)
  • Custom integrations via API
Primary user audience

Analysts, attorneys, researchers, program managers, IT/data teams, acquisition staff

Procurement + cost

Vehicle: AWS Marketplace; Amazon Bedrock; agency direct procurement; GSA MAS

Cost: API: per token (input/output); Enterprise: per-seat; Bedrock: consumption-based

Key considerations for federal agencies
  • AWS GovCloud / Bedrock path preferred for sensitive federal workloads
  • Strong performance on long documents (200K+ token context window)
  • Review Anthropic's Constitutional AI approach for alignment with agency AI ethics policy
  • Suitable for agentic workflows with appropriate human-in-the-loop controls
AI-Powered Research & Search

Perplexity — Enterprise Pro

AI search and research platform that synthesizes real-time web and internal sources with citations. Reduces time spent on manual research and provides sourced, up-to-date answers. Enterprise version supports internal file search.

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FedRAMP / ATONot FedRAMP authorized as of 2025; use limited to open-source/unclassified research; agency risk acceptance required
DeploymentSaaS (cloud); no on-prem option currently available
Lock-in riskLow — primarily a research interface; outputs are portable; not deeply integrated in workflows
Primary federal use cases
  • Real-time policy and regulatory research
  • Market and competitive landscape analysis
  • Rapid literature and source synthesis
  • Background research for briefings
  • OSINT-adjacent open-source research support
Mission areas supported

Policy research, legislative analysis, acquisition market research, communications, public affairs

Data classification supported

Unclassified, open-source data only; not suitable for CUI or sensitive inputs without agency approval

Key integrations
  • Web sources (real-time)
  • Uploaded documents (Enterprise)
  • REST API
  • Limited enterprise integrations
Primary user audience

Analysts, researchers, policy staff, communications teams, acquisition/market research staff

Procurement + cost

Vehicle: Direct subscription; GSA MAS potential; agency credit card (micro-purchase) for low tiers

Cost: Pro: per-seat/month; Enterprise: custom pricing

Key considerations for federal agencies
  • Not FedRAMP authorized — limit to unclassified open-source research tasks
  • Strong for cited, sourced research synthesis — reduces hallucination risk vs. pure LLMs
  • Do not input CUI, PII, or sensitive agency data
  • Best positioned as a research augmentation tool, not a system of record

Framework category

Agentic & Workflow AI Platforms

Enterprise AI Assistant & Agent Builder

Microsoft Copilot — M365 + Copilot Studio

Embedded AI assistant across Microsoft 365 apps (Word, Excel, Teams, Outlook, SharePoint) with Copilot Studio enabling no-code/low-code custom agent and workflow creation grounded in agency M365 data.

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FedRAMP / ATOFedRAMP High authorized (M365 GCC High); Copilot for M365 GCC High in progress; agency ATO required
DeploymentSaaS; GCC / GCC High for federal; tenant-controlled deployment
Lock-in riskHigh — deeply integrated with Microsoft ecosystem; switching costs significant
Primary federal use cases
  • Meeting summarization and action item extraction
  • Document drafting and editing in Word/PowerPoint
  • Email drafting and triage in Outlook
  • Excel data analysis and formula generation
  • Internal FAQ and policy agents via Copilot Studio
  • Workflow automation via Power Platform integration
Mission areas supported

Productivity, communications, HR, finance, IT, program management — across all mission areas for M365-based agencies

Data classification supported

Unclassified through CUI (GCC); Secret-level via M365 GCC High with appropriate controls

Key integrations
  • Full Microsoft 365 ecosystem
  • SharePoint, OneDrive, Teams, Exchange
  • Power Platform / Power Automate
  • Dynamics 365
  • Approved third-party connectors
Primary user audience

All agency staff with M365 licenses; IT and automation builders for Copilot Studio agents

Procurement + cost

Vehicle: GSA MAS; Enterprise Agreement (EA); Microsoft Government licensing programs

Cost: Copilot for M365: per-seat/month add-on to M365 license; Copilot Studio: per-session/month

Key considerations for federal agencies
  • Most agencies with existing M365 GCC/GCC High are natural candidates
  • GCC High required for controlled unclassified information at higher sensitivity
  • Evaluate Copilot Studio governance controls before broad agent deployment
  • Strong productivity ROI for high-volume document and communications work
  • Vendor lock-in is the primary strategic risk for long-term planning
AWS-Native AI Assistant & Workflow Platform

Amazon Q — Business / Developer

AWS-native AI assistant suite for enterprise knowledge retrieval, task assistance, software development support, and workflow automation. Q Business supports grounded answers across agency content; Q Developer supports code generation and review. Available through AWS GovCloud.

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FedRAMP / ATOFedRAMP High authorized via AWS GovCloud; agency ATO required for specific deployments
DeploymentSaaS via AWS GovCloud; fully managed; no on-prem required
Lock-in riskHigh for AWS-native agencies — deep integration with AWS ecosystem; mitigated if already committed to AWS
Primary federal use cases
  • Agency-wide knowledge Q&A grounded in internal content
  • Policy, guidance, and SOP retrieval
  • Code generation and review for federal development teams
  • Research synthesis and task assistance
  • Workflow automation for AWS-based operations
Mission areas supported

Knowledge management, IT/DevSecOps, acquisitions, program management, research, administrative operations

Data classification supported

Unclassified through CUI and higher via GovCloud; classified workloads via C2S/SC2S AWS environments

Key integrations
  • AWS S3, IAM, Lambda
  • ServiceNow, Salesforce (via connectors)
  • SharePoint, Confluence
  • Internal knowledge bases
  • Amazon Bedrock and other AWS services
Primary user audience

Developers, analysts, program managers, acquisition staff, knowledge workers in AWS-centric environments

Procurement + cost

Vehicle: AWS GovCloud Marketplace; GSA MAS; agency AWS enterprise agreements

Cost: Q Business: per-user/month; Q Developer: per-seat/month; additional AWS consumption may apply

Key considerations for federal agencies
  • Ideal for agencies already operating on AWS GovCloud infrastructure
  • GovCloud deployment supports federal data residency and sovereignty requirements
  • Strong fit for agencies seeking enterprise search, document-grounded assistance, and developer productivity in AWS environments
  • Evaluate data indexing governance — Q Business ingests internal content that must be properly governed
CRM-Native Agentic AI Platform

Salesforce AgentForce — Government Cloud

Low-code agentic AI platform embedded in Salesforce Government Cloud for building autonomous agents that execute tasks across CRM, case management, grants administration, regulatory workflows, and service delivery operations.

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FedRAMP / ATOSalesforce Government Cloud: FedRAMP Moderate authorized; agency ATO required
DeploymentSaaS; Salesforce Government Cloud (US-based, FedRAMP); tenant-isolated
Lock-in riskHigh — Salesforce ecosystem dependency; significant switching costs; mitigated for agencies already on Salesforce
Primary federal use cases
  • Case management automation and next-best-action support
  • Grants lifecycle management assistance
  • Benefits eligibility workflow support
  • Regulatory and compliance workflow automation
  • Field service and inspection scheduling
  • Congressional correspondence and constituent case tracking
Mission areas supported

Case management, grants management, regulatory affairs, health and benefits programs, public safety workflows, field operations

Data classification supported

Unclassified through CUI (Moderate); Government Cloud Plus available for higher sensitivity

Key integrations
  • Salesforce CRM ecosystem
  • MuleSoft integration layer
  • Agency ERP/FMIS systems
  • Federal grants systems (GrantSolutions)
  • DocuSign, Adobe Sign
Primary user audience

Case managers, grants officers, program managers, field operations staff, constituent service teams

Procurement + cost

Vehicle: GSA MAS; Salesforce Government pricing; agency enterprise agreements

Cost: AgentForce: per conversation/month or per-seat; base Salesforce licensing required

Key considerations for federal agencies
  • Best fit for agencies already deployed on Salesforce Government Cloud
  • Strong for case-centric work, grants administration, and constituent service operations across digital channels
  • Agentic capabilities require robust governance and human-in-the-loop design for high-impact decisions
  • Review M-25-21 high-impact AI requirements for use cases affecting benefits, eligibility, or civil rights
Enterprise Service Management AI

ServiceNow Now Assist — Now Intelligence

Embedded generative and predictive AI across ServiceNow's ITSM, HRSD, CSM, and SecOps modules. Supports AI-assisted case creation, summarization, routing, knowledge retrieval, and workflow automation within the ServiceNow platform.

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FedRAMP / ATOFedRAMP High authorized (ServiceNow Government Cloud); agency ATO required
DeploymentSaaS; ServiceNow Government Cloud (FedRAMP High); agency-specific tenant
Lock-in riskHigh — ServiceNow is often a core enterprise platform; high switching costs; deep process integration
Primary federal use cases
  • IT service management automation and intelligent routing
  • HR service case management and self-service
  • Security operations automation (SecOps)
  • Facilities and asset management workflows
  • AI-assisted drafting for program and case staff
  • SLA prediction and proactive resolution
Mission areas supported

IT/cybersecurity, HR, facilities, program operations, security operations, employee services

Data classification supported

Unclassified through CUI (High); Government Community Cloud available for elevated requirements

Key integrations
  • Native ServiceNow data model (ITSM, HRSD, CSM, CMDB)
  • IntegrationHub (ERP, CRM, IAM, monitoring)
  • Active Directory / Azure AD
  • Splunk, Tenable, Qualys (SecOps)
  • Agency knowledge bases
Primary user audience

IT service staff, HR service teams, SecOps analysts, facility managers, program operations staff, end users via self-service portal

Procurement + cost

Vehicle: GSA MAS; agency enterprise agreements; SEWP V

Cost: Now Assist: add-on licensing per module/user on top of base ServiceNow licensing

Key considerations for federal agencies
  • Agencies already on ServiceNow are natural candidates with lower adoption risk
  • FedRAMP High authorization supports agencies with elevated data sensitivity requirements
  • AI capabilities are embedded — not a separate tool — reducing change management friction
  • Evaluate Now Assist use cases against M-25-21 high-impact AI thresholds, particularly for HR and security decisions
Virtual Assistant & Process Automation Platform

Kore.ai — Enterprise

Enterprise AI platform for building digital assistants and workflow automation across employee support, citizen self-service, knowledge access, and guided process experiences in chat and web channels.

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FedRAMP / ATOFedRAMP Moderate authorized; agency ATO required for deployment
DeploymentSaaS or private cloud; FedRAMP-authorized cloud deployment available
Lock-in riskMedium — platform-specific assistant development; integrations are portable; standard APIs used
Primary federal use cases
  • Citizen and employee self-service assistants
  • Benefits navigation and policy guidance
  • Multilingual digital support experiences
  • HR and IT knowledge assistants
  • Form completion and guided intake assistance
  • Workflow initiation and status updates
Mission areas supported

Citizen services, benefits administration, HR, IT service management, multilingual public services, digital transformation

Data classification supported

Unclassified through CUI (Moderate); review data handling for sensitive PII in public-facing flows

Key integrations
  • Salesforce, ServiceNow
  • Agency CRM and case management systems
  • Web portals and mobile apps
  • Federal identity providers (PIV/CAC via IAM)
  • Knowledge bases and document repositories
Primary user audience

Citizens / constituents, employees, HR staff, IT support staff, digital service teams

Procurement + cost

Vehicle: GSA MAS; agency direct procurement; FedRAMP Marketplace

Cost: Per-session or per-user/month; enterprise pricing based on interaction volume

Key considerations for federal agencies
  • Strong fit for agencies seeking digital self-service without requiring a traditional call center model
  • FedRAMP Moderate authorization supports broad federal deployment
  • Multilingual capabilities are valuable for agencies serving diverse populations
  • Design public-facing AI interactions with plain language standards and Section 508 accessibility requirements in mind
  • Human escalation paths are required for high-impact or sensitive interactions
Cloud AI Platform & Productivity Assistant

Google Vertex AI — Gemini for Google Workspace

Google's enterprise AI platform (Vertex AI) for building and deploying custom AI models, paired with Gemini AI assistant embedded in Google Workspace (Docs, Sheets, Gmail, Meet). Available via Google Public Sector Cloud.

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FedRAMP / ATOGoogle Public Sector Cloud: FedRAMP High authorized; Workspace for Government: FedRAMP Moderate; agency ATO required
DeploymentSaaS; Google Public Sector Cloud (US-based); VPC Service Controls available for data isolation
Lock-in riskHigh for Vertex AI custom models — platform-specific MLOps; Workspace dependency is similar to M365
Primary federal use cases
  • Custom model development and fine-tuning for agency-specific use cases
  • Document drafting and summarization in Workspace
  • Data analysis and visualization in Sheets
  • Meeting summarization and note-taking
  • Large-scale data processing and ML pipelines
Mission areas supported

Data science, research, IT/ML engineering, program operations, communications, analytics

Data classification supported

Unclassified through CUI via Government Cloud; higher classifications via specific IL4/IL5 authorized environments

Key integrations
  • Google Workspace ecosystem
  • BigQuery, Cloud Storage, Pub/Sub
  • Looker (data visualization)
  • Apigee (API management)
  • Third-party MLOps tools
Primary user audience

Data scientists, ML engineers, program analysts, IT staff, knowledge workers in Google Workspace environments

Procurement + cost

Vehicle: GSA MAS; Google Public Sector enterprise agreements; NASA SEWP V

Cost: Vertex AI: consumption-based (compute/storage/API); Gemini for Workspace: per-seat add-on

Key considerations for federal agencies
  • Best fit for agencies already on Google Workspace or with significant data science / ML programs
  • Vertex AI offers strong model customization capabilities for mission-specific AI development
  • FedRAMP High path via Public Sector Cloud supports agencies with elevated data requirements
  • Evaluate data residency and export controls compliance for sensitive research data

Framework category

Mission & Decision Intelligence

Mission AI & Decision Intelligence Platform

Palantir AIP — Artificial Intelligence Platform

Ontology-driven AI platform integrating agency operational data with LLMs and agentic workflows for mission-critical decision support, intelligence analysis, and large-scale data operations. Purpose-built for national security and federal missions.

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FedRAMP / ATOFedRAMP High authorized; IL5 and classified environments available (C2S/SC2S); widely deployed across IC and DoD
DeploymentOn-premise, private cloud, GovCloud, and classified network deployments; Palantir-managed or agency-operated
Lock-in riskHigh — deep platform integration can create significant switching costs over time
Primary federal use cases
  • Intelligence analysis and data fusion
  • Operational planning and decision support
  • Fraud detection and program integrity
  • Healthcare data analysis and case management (HHS, VA)
  • Law enforcement investigative support
  • Supply chain and logistics optimization
Mission areas supported

Defense and intelligence, law enforcement, public health, veterans services, financial crimes, regulatory enforcement

Data classification supported

Full range: Unclassified through Top Secret/SCI; multi-classification environment support

Key integrations
  • Agency data lakes and operational databases
  • Intelligence community data sources
  • Federal EHR systems (VA, DoD)
  • Law enforcement systems
  • Custom agency system integrations via Palantir Foundry connectors
Primary user audience

Intelligence analysts, mission operators, data scientists, program integrity investigators, senior decision-makers

Procurement + cost

Vehicle: OTA agreements (DoD); GSA MAS; agency direct; IDIQ contracts; existing IC vehicle agreements

Cost: Enterprise licensing; typically large multi-year contracts; pricing not publicly listed

Key considerations for federal agencies
  • Purpose-built for federal mission use — strongest fit for national security, defense, and law enforcement
  • Deep data integration creates significant value but also high dependency
  • AIP layer adds LLM capabilities on top of existing Foundry/Gotham deployments
  • Human-in-the-loop design is critical for mission-critical decision support use cases
  • Review M-25-21 high-impact AI requirements — most Palantir use cases will qualify

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Source references: OMB M-25-21 (Apr 2025), OMB M-25-22 (Apr 2025), FedRAMP Marketplace (marketplace.fedramp.gov), agency-published AI compliance plans (Sep 2025), GAO-25-107653 (Jul 2025), GAO-26-107859 (Apr 2026). Tool capabilities and authorization statuses subject to change — verify current FedRAMP status at marketplace.fedramp.gov before procurement decisions.