Commit your budget one priced milestone at a time.
Each offer answers one question and ends in a decision meeting, so your agency sees the cost and the evidence before it commits more budget. Each is also the first milestone of an Innovation or Infrastructure engagement.
See the acquisition path and the first milestone before you commit budget.
The Discovery Session takes 45 minutes and has one purpose: to understand your agency's requirements and procurement situation for one specific business case and to identify the most efficient way to work together, so the work gets done effectively.
What your agency leaves knowing
What the business case needs to show your budget office: the cost to build, the operations and maintenance cost and the savings that can help fund the next investment.
The acquisition paths open to your agency for this work, so your contracting team can choose the most efficient one.
The first milestone that answers the business case, which we then quote in writing, so its cost is visible before budget is committed.
The rules on our regulation map that the business case touches, so the first milestone plans for the evidence they ask for.
Physical AI for public works, facilities and utilities
Robots, drones and vision systems are capital assets, so your investment review board gets the payback case and the safety case before your agency decides whether to buy, lease or use robots-as-a-service. The work is proven in simulation first, then on site. The service: Physical AI.
Physical AI: Readiness Sprint & Sim-to-Real Pilot
Which inspection, maintenance or logistics task in your facilities can a robot, drone or vision system take on safely, and does it pay back?
What we look at
Use cases scored and ranked for public works, facilities, utilities and logistics
Machine options compared and screened against the federal drone rules when federal funds are involved
Buy, lease or robots-as-a-service compared in the terms OMB uses for budget scoring
Standards and the safety case (ISO 10218, ANSI/A3 R15.06), built with your safety program
OT and data readiness with logging from the first sensor
Simulation and pilot design
What you get
Physical AI opportunity register
Buy, lease or robots-as-a-service business case
Standards and safety-case gap register
Pilot experiment canvas with pre-registered KPIs
Go/no-go memo for your investment review board
Each milestone is quoted in writing before your team chooses how to buy it. Cloud consumption, software licenses and equipment are separate line items or are furnished by your agency.
Pick the question your budget cycle needs answered
Each card lists what we look at, what your agency gets and the rules the work is mapped to, so you can match the offer to the funding decision in front of you.
AI Value & Capital Planning Business Case Sprint
Which AI investments deserve funding in this budget cycle, and what evidence will the request need?
What we look at
Use-case inventory tied to mission outcomes and budget lines, screened for high-impact uses
Benefit-cost analysis in the terms OMB Circular A-94 uses, with federal savings and public benefits shown separately
Costs split into development, modernization and enhancement (DME) and operations and maintenance (O&M), with planned and actual costs by budget account and IT investment
Accounting options documented for your finance team and auditors: FASAB for federal entities, GASB for state and local governments
NIST AI RMF risk screen, and for Texas agencies a screen against the uses state law prohibits
Ranked roadmap with the funding routes your agency can choose from, such as an IT working capital fund for a federal agency, or the appropriations or capital budget request for a state or local government
What you get
Business-case workbook your budget office can rerun
One-page summary for your investment review board
Ranked roadmap
Decision meeting with the evidence for the next milestone
Each milestone is quoted in writing before your team chooses how to buy it. Cloud consumption, software licenses and equipment are separate line items or are furnished by your agency.
How much of the AI roadmap can the licenses and applications your agency already pays for fund?
What we look at
License inventory and usage across the application portfolio, building on the inventory the MEGABYTE Act requires
Utilization and prices paid, using the vendor disclosures OMB M-26-10 asks agencies to collect, benchmarked against the GSA OneGov terms open to your agency
Application rationalization with retire-or-consolidate decision points, including systems that cannot move to post-quantum cryptography
Savings register shaped for an IT working capital fund request
What you get
Savings register
Retire / consolidate blueprint
AI roadmap with a funding route for each step
Each milestone is quoted in writing before your team chooses how to buy it. Cloud consumption, software licenses and equipment are separate line items or are furnished by your agency.
Did the AI move the mission measure, and is the evidence strong enough to scale it?
What we look at
Pre-registered hypothesis and one mission KPI
A/B, stepped-wedge or difference-in-differences design
Instrumented pilot on services your agency has authorized, such as Azure OpenAI in Azure Government, with Azure Databricks or Microsoft Fabric where the data authorization fits
Effect size with confidence intervals, written up as pre-deployment testing evidence
A measure your contract can carry in its quality assurance surveillance plan
Scale-or-stop decision
What you get
Experiment protocol
Measurement dashboard
Readout with effect size for your AI impact assessment
Scale-or-stop decision
Each milestone is quoted in writing before your team chooses how to buy it. Cloud consumption, software licenses and equipment are separate line items or are furnished by your agency.
Which asset, facility or network has the downtime or maintenance cost that justifies a twin, and is its data ready?
What we look at
Twin maturity and operational data readiness for utilities, facilities, fleets and infrastructure
Platform fit on the cloud your agency has authorized: operations twins on Databricks or Microsoft Fabric, or a specialist simulation platform
Security of operational technology connections and logging designed in from the first sensor
One bounded pilot with a KPI baseline, scoped so its findings can feed a water system's risk and resilience assessment
What you get
Readiness scorecard
Target architecture
Pilot with baseline and readout
Each milestone is quoted in writing before your team chooses how to buy it. Cloud consumption, software licenses and equipment are separate line items or are furnished by your agency.
Why does the close take days, and which reconciliations still run by hand?
What we look at
Governed data model on Microsoft Fabric and Power BI or Azure Databricks, on the financial system your agency runs
Close and reconciliation views from the general ledger to your GTAS submissions
Automated control testing and analytics in the form Circular A-123 (2026) encourages
Payment-integrity data checks before payments are released
Data and integrations made ready for core financial system consolidation
What you get
Governed data model you own
Close runbook
Control analytics dashboards
Each milestone is quoted in writing before your team chooses how to buy it. Cloud consumption, software licenses and equipment are separate line items or are furnished by your agency.
Which tasks deserve agents, which stay with people, and how does each AI use case move through your agency's governance?
What we look at
Task-exposure analysis across programs and back-office functions
AI governance workflow: use-case inventory, evidence for high-impact (federal) or heightened scrutiny (Texas) determinations, and the generative AI policy put into practice
Human-AI workflow design with your staff, building on the AI training they complete
Model documentation pack and the user-reporting route your LLM procurement policy describes
AI center of excellence design
What you get
Operating-model blueprint
Governance workflow and use-case register
Role cards
Change plan
Each milestone is quoted in writing before your team chooses how to buy it. Cloud consumption, software licenses and equipment are separate line items or are furnished by your agency.
Each milestone is a stopping point or a stepping stone.
Each milestone is priced before it starts and accepted against defined deliverables, a structure that fits the fixed-price, performance-based orders federal policy now prefers.
For a series of experiments, or a run that grows with adoption, the work is managed against a ceiling price agreed before it starts and reviewed against the business case, and work above the ceiling price is at our cost.
In FAR terms, a time-and-materials or labor-hour order with a ceiling price.
It is used where your contracting team documents the determination and findings the FAR requires for a time-and-materials or labor-hour order, and the Executive Order 14402 justification where the order's value is at or above its threshold.
Each offer is a service we also offer commercial clients on innovations24.com, with defined deliverables and milestone terms, and your contracting team determines commerciality.
“This includes more than $130 billion of non-commercial contracting for common services, such as professional support services, information technology and telecom services”
Each milestone is quoted in writing before your team chooses how to buy it. Cloud consumption, software licenses and equipment are separate line items or are furnished by your agency.
Accounting treatment is determined by your auditors; we provide evidence and documentation.
Not sure which offer fits?
Bring the question you need answered. In the Discovery Session we find the offer that answers it and the most efficient way for your agency to buy it.